Pre release polishes (#1416)

Adding option to hide unconfirmed and variable transcriptions in append and replace mode

.coveragerc

@@ -1,9 +1,19 @@
 [run]
 omit =
   buzz/whisper_cpp/*
+  buzz/transcriber/local_whisper_cpp_server_transcriber.py
   *_test.py
   demucs/*
-  buzz/transcriber/local_whisper_cpp_server_transcriber.py
+  whisper_diarization/*
+  deepmultilingualpunctuation/*
+  ctc_forced_aligner/*
+
+[report]
+exclude_also =
+  if sys.platform == "win32":
+  if platform.system\(\) == "Windows":
+  if platform.system\(\) == "Linux":
+  if platform.system\(\) == "Darwin":
 
 [html]
 directory = coverage/html

.github/workflows/ci.yml

@@ -59,21 +59,10 @@ jobs:
           path: .venv
           key: venv-${{ runner.os }}-${{ runner.arch }}-${{ hashFiles('**/uv.lock') }}
 
-      - name: Load cached Whisper models
-        id: cached-whisper-models
-        uses: actions/cache@v4
-        with:
-          path: |
-            ~/Library/Caches/Buzz
-            ~/.cache/whisper
-            ~/.cache/huggingface
-            ~/AppData/Local/Buzz/Buzz/Cache
-          key: whisper-models
-
-      - uses: AnimMouse/setup-ffmpeg@v1.2.1
+      - uses: AnimMouse/setup-ffmpeg@v1
         id: setup-ffmpeg
         with:
-          version: ${{ matrix.os == 'macos-15-intel' && '7.1.1' || matrix.os == 'macos-latest' && '71' || '7.1' }}
+          version: ${{ matrix.os == 'macos-15-intel' && '7.1.1' || matrix.os == 'macos-latest' && '80' || '8.0' }}
 
       - name: Test ffmpeg
         run: ffmpeg -i ./testdata/audio-long.mp3 ./testdata/audio-long.wav
@@ -88,7 +77,13 @@ jobs:
 
           if [ "$(lsb_release -rs)" == "22.04" ]; then
             sudo apt-get install libegl1-mesa
+
+            # Add ubuntu-toolchain-r PPA for newer libstdc++6 with GLIBCXX_3.4.32
+            sudo add-apt-repository ppa:ubuntu-toolchain-r/test -y
+            sudo apt-get update
+            sudo apt-get install -y libstdc++6
           fi
+
           sudo apt-get install libyaml-dev libxkbcommon-x11-0 libxcb-icccm4 libxcb-image0 libxcb-keysyms1 libxcb-randr0 libxcb-render-util0 libxcb-xinerama0 libxcb-shape0 libxcb-cursor0 libportaudio2 gettext libpulse0 libgl1-mesa-dev libvulkan-dev ccache
         if: "startsWith(matrix.os, 'ubuntu-')"
 
@@ -99,6 +94,8 @@ jobs:
         run: |
           uv run make test
         shell: bash
+        env:
+          PYTHONFAULTHANDLER: "1"
 
       - name: Upload coverage reports to Codecov with GitHub Action
         uses: codecov/codecov-action@v4
@@ -110,7 +107,7 @@ jobs:
 
   build:
     runs-on: ${{ matrix.os }}
-    timeout-minutes: 60
+    timeout-minutes: 90
     env:
       BUZZ_DISABLE_TELEMETRY: true
     strategy:
@@ -166,22 +163,30 @@ jobs:
 
           if [ "$(lsb_release -rs)" == "22.04" ]; then
             sudo apt-get install libegl1-mesa
+
+            # Add ubuntu-toolchain-r PPA for newer libstdc++6 with GLIBCXX_3.4.32
+            sudo add-apt-repository ppa:ubuntu-toolchain-r/test -y
+            sudo apt-get update
+            sudo apt-get install -y libstdc++6
           fi
+
           sudo apt-get install libyaml-dev libxkbcommon-x11-0 libxcb-icccm4 libxcb-image0 libxcb-keysyms1 libxcb-randr0 libxcb-render-util0 libxcb-xinerama0 libxcb-shape0 libxcb-cursor0 libportaudio2 gettext libpulse0 libgl1-mesa-dev libvulkan-dev ccache
         if: "startsWith(matrix.os, 'ubuntu-')"
 
       - name: Install dependencies
         run: uv sync
 
-      - uses: AnimMouse/setup-ffmpeg@v1.2.1
+      - uses: AnimMouse/setup-ffmpeg@v1
         id: setup-ffmpeg
         with:
-          version: ${{ matrix.os == 'macos-15-intel' && '7.1.1' || matrix.os == 'macos-latest' && '71' || '7.1' }}
+          version: ${{ matrix.os == 'macos-15-intel' && '7.1.1' || matrix.os == 'macos-latest' && '80' || '8.0' }}
 
       - name: Install MSVC for Windows
         run: |
           if [ "$RUNNER_OS" == "Windows" ]; then
             uv add msvc-runtime
+            uv pip install -U torch==2.8.0+cu129 torchaudio==2.8.0+cu129 --index-url https://download.pytorch.org/whl/cu129
+            uv pip install nvidia-cublas-cu12==12.9.1.4 nvidia-cuda-cupti-cu12==12.9.79 nvidia-cuda-runtime-cu12==12.9.79 --extra-index-url https://pypi.ngc.nvidia.com
 
             uv cache clean
             uv run pip cache purge
@@ -357,32 +362,41 @@ jobs:
         with:
           files: |
             Buzz*-unix.tar.gz
-            Buzz*-windows.exe
-            Buzz*-mac.dmg
+            Buzz*.exe
+            Buzz*.bin
+            Buzz*.dmg
 
-  deploy_brew_cask:
-    runs-on: macos-latest
-    env:
-      BUZZ_DISABLE_TELEMETRY: true
-    needs: [release]
-    if: startsWith(github.ref, 'refs/tags/')
-    steps:
-      - uses: actions/checkout@v4
-        with:
-          submodules: recursive
-
-      - name: Install uv
-        uses: astral-sh/setup-uv@v6
-
-      - name: Set up Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: "3.12"
-
-      - name: Install dependencies
-        run: uv sync
-
-      - name: Upload to Brew
-        run: uv run make upload_brew
-        env:
-          HOMEBREW_GITHUB_API_TOKEN: ${{ secrets.HOMEBREW_GITHUB_API_TOKEN }}
+#  Brew Cask deployment fails and the app is deprecated on Brew.
+#  deploy_brew_cask:
+#    runs-on: macos-latest
+#    env:
+#      BUZZ_DISABLE_TELEMETRY: true
+#    needs: [release]
+#    if: startsWith(github.ref, 'refs/tags/')
+#    steps:
+#      - uses: actions/checkout@v4
+#        with:
+#          submodules: recursive
+#
+#      # Should be removed with next update to whisper.cpp
+#      - name: Downgrade Xcode
+#        uses: maxim-lobanov/setup-xcode@v1
+#        with:
+#          xcode-version: '16.0.0'
+#        if: matrix.os == 'macos-latest'
+#
+#      - name: Install uv
+#        uses: astral-sh/setup-uv@v6
+#
+#      - name: Set up Python
+#        uses: actions/setup-python@v5
+#        with:
+#          python-version: "3.12"
+#
+#      - name: Install dependencies
+#        run: uv sync
+#
+#      - name: Upload to Brew
+#        run: uv run make upload_brew
+#        env:
+#          HOMEBREW_GITHUB_API_TOKEN: ${{ secrets.HOMEBREW_GITHUB_API_TOKEN }}

.github/workflows/snapcraft.yml

@@ -14,28 +14,58 @@ concurrency:
 
 jobs:
   build:
-    runs-on: ubuntu-latest
+    runs-on: ubuntu-24.04
+    timeout-minutes: 90
+    env:
+      BUZZ_DISABLE_TELEMETRY: true
     outputs:
       snap: ${{ steps.snapcraft.outputs.snap }}
     steps:
-      - name: Maximize build space
-        uses: easimon/maximize-build-space@master
-        with:
-          root-reserve-mb: 26000
-          swap-size-mb: 1024
-          remove-dotnet: 'true'
-          remove-android: 'true'
-          remove-haskell: 'true'
-          remove-codeql: 'true'
-          remove-docker-images: 'true'
+      # Ideas from https://github.com/orgs/community/discussions/25678
+      - name: Remove unused build tools
+        run: |
+          sudo apt-get remove -y azure-cli google-cloud-sdk hhvm google-chrome-stable firefox powershell mono-devel || true
+          sudo apt-get autoremove -y
+          sudo apt-get clean
+          python -m pip cache purge
+          rm -rf /opt/hostedtoolcache || true
+      - name: Check available disk space
+        run: |
+          echo "=== Disk space ==="
+          df -h
+          echo "=== Memory ==="
+          free -h
       - uses: actions/checkout@v4
         with:
           submodules: recursive
-      - uses: snapcore/action-build@v1.3.0
+      - name: Install Snapcraft and dependencies
+        run: |
+          set -x
+          # Ensure snapd is ready
+          sudo systemctl start snapd.socket
+          sudo snap wait system seed.loaded
+
+          echo "=== Installing snapcraft ==="
+          sudo snap install --classic snapcraft
+
+          echo "=== Installing gnome extension dependencies ==="
+          sudo snap install gnome-46-2404 || { echo "Failed to install gnome-46-2404"; sudo journalctl -u snapd --no-pager -n 50; exit 1; }
+          sudo snap install gnome-46-2404-sdk || { echo "Failed to install gnome-46-2404-sdk"; sudo journalctl -u snapd --no-pager -n 50; exit 1; }
+
+          echo "=== Installing build-snaps ==="
+          sudo snap install --classic astral-uv || { echo "Failed to install astral-uv"; sudo journalctl -u snapd --no-pager -n 50; exit 1; }
+
+          echo "=== Installed snaps ==="
+          snap list
+      - name: Check disk space before build
+        run: df -h
+      - name: Build snap
         id: snapcraft
-      - run: |
-          sudo apt-get update
-          sudo apt-get install libportaudio2 libtbb-dev
+        env:
+          SNAPCRAFT_BUILD_ENVIRONMENT: host
+        run: |
+          sudo -E snapcraft pack --verbose --destructive-mode
+          echo "snap=$(ls *.snap)" >> $GITHUB_OUTPUT
       - run: sudo snap install --devmode *.snap
       - run: |
           cd $HOME

.gitignore

@@ -11,6 +11,7 @@ coverage.xml
 .idea/
 .venv/
 venv/
+.claude/
 
 # whisper_cpp
 whisper_cpp
@@ -31,4 +32,5 @@ benchmarks.json
 /coverage/
 /wheelhouse/
 /.flatpak-builder
-/repo
+/repo
+/nemo_msdd_configs

.gitmodules

@@ -1,3 +1,15 @@
 [submodule "whisper.cpp"]
 	path = whisper.cpp
 	url = https://github.com/ggerganov/whisper.cpp
+[submodule "whisper_diarization"]
+	path = whisper_diarization
+	url = https://github.com/MahmoudAshraf97/whisper-diarization
+[submodule "demucs_repo"]
+	path = demucs_repo
+	url = https://github.com/MahmoudAshraf97/demucs.git
+[submodule "deepmultilingualpunctuation"]
+	path = deepmultilingualpunctuation
+	url = https://github.com/oliverguhr/deepmultilingualpunctuation.git
+[submodule "ctc_forced_aligner"]
+	path = ctc_forced_aligner
+	url = https://github.com/MahmoudAshraf97/ctc-forced-aligner.git

Buzz.spec

@@ -13,7 +13,6 @@ datas += collect_data_files("torch")
 datas += collect_data_files("demucs")
 datas += copy_metadata("tqdm")
 datas += copy_metadata("torch")
-datas += copy_metadata("demucs")
 datas += copy_metadata("regex")
 datas += copy_metadata("requests")
 datas += copy_metadata("packaging")
@@ -23,6 +22,19 @@ datas += copy_metadata("tokenizers")
 datas += copy_metadata("huggingface-hub")
 datas += copy_metadata("safetensors")
 datas += copy_metadata("pyyaml")
+datas += copy_metadata("julius")
+datas += copy_metadata("openunmix")
+datas += copy_metadata("lameenc")
+datas += copy_metadata("diffq")
+datas += copy_metadata("einops")
+datas += copy_metadata("hydra-core")
+datas += copy_metadata("hydra-colorlog")
+datas += copy_metadata("museval")
+datas += copy_metadata("submitit")
+datas += copy_metadata("treetable")
+datas += copy_metadata("soundfile")
+datas += copy_metadata("dora-search")
+datas += copy_metadata("lhotse")
 
 # Allow transformers package to load __init__.py file dynamically:
 # https://github.com/chidiwilliams/buzz/issues/272
@@ -31,7 +43,13 @@ datas += collect_data_files("transformers", include_py_files=True)
 datas += collect_data_files("faster_whisper", include_py_files=True)
 datas += collect_data_files("stable_whisper", include_py_files=True)
 datas += collect_data_files("whisper")
-datas += [("demucs", "demucs")]
+datas += collect_data_files("demucs", include_py_files=True)
+datas += collect_data_files("whisper_diarization", include_py_files=True)
+datas += collect_data_files("deepmultilingualpunctuation", include_py_files=True)
+datas += collect_data_files("ctc_forced_aligner", include_py_files=True, excludes=["build"])
+datas += collect_data_files("nemo", include_py_files=True)
+datas += collect_data_files("lightning_fabric", include_py_files=True)
+datas += collect_data_files("pytorch_lightning", include_py_files=True)
 datas += [("buzz/assets/*", "assets")]
 datas += [("buzz/locale", "locale")]
 datas += [("buzz/schema.sql", ".")]
@@ -87,7 +105,22 @@ a = Analysis(
     pathex=[],
     binaries=binaries,
     datas=datas,
-    hiddenimports=[],
+    hiddenimports=[
+        "dora", "dora.log",
+        "julius", "julius.core", "julius.resample",
+        "openunmix", "openunmix.filtering",
+        "lameenc",
+        "diffq",
+        "einops",
+        "hydra", "hydra.core", "hydra.core.global_hydra",
+        "hydra_colorlog",
+        "museval",
+        "submitit",
+        "treetable",
+        "soundfile",
+        "_soundfile_data",
+        "lhotse",
+    ],
     hookspath=[],
     hooksconfig={},
     runtime_hooks=[],

CLAUDE.md

@@ -0,0 +1 @@
+- Use uv to run tests and any scripts

CONTRIBUTING.md

@@ -28,7 +28,8 @@ What version of the Buzz are you using? On what OS? What are steps to reproduce
 **Logs**
 
 Log files contain valuable information about what the Buzz was doing before the issue occurred. You can get the logs like this:
-* Mac and Linux run the app from the terminal and check the output.
+* Linux run the app from the terminal and check the output.
+* Mac get logs from `~/Library/Logs/Buzz`.
 * Windows paste this into the Windows Explorer address bar `%USERPROFILE%\AppData\Local\Buzz\Buzz\Logs` and check the logs file.
 
 **Test on latest version**
@@ -51,9 +52,9 @@ Linux versions get also pushed to the snap. To install latest development versio
 sudo apt-get install --no-install-recommends libyaml-dev libtbb-dev libxkbcommon-x11-0 libxcb-icccm4 libxcb-image0 libxcb-keysyms1 libxcb-randr0 libxcb-render-util0 libxcb-xinerama0 libxcb-shape0 libxcb-cursor0 libportaudio2 gettext libpulse0 ffmpeg
 ```
 On versions prior to Ubuntu 24.04 install `sudo apt-get install --no-install-recommends libegl1-mesa`
+
 5. Install the dependencies `uv sync`
-6. Build Buzz `uv build`
-7. Run Buzz `uv run buzz`
+6. Run Buzz `uv run buzz`
 
 #### Necessary dependencies for Faster Whisper on GPU
 
@@ -80,8 +81,7 @@ On versions prior to Ubuntu 24.04 install `sudo apt-get install --no-install-rec
 3. Install uv `curl -LsSf https://astral.sh/uv/install.sh | sh` (or `brew install uv`)
 4. Install system dependencies you may be missing `brew install ffmpeg`
 5. Install the dependencies `uv sync`
-6. Build Buzz `uv build`
-7. Run Buzz `uv run buzz`
+6. Run Buzz `uv run buzz`
 
 
 
@@ -93,16 +93,18 @@ Assumes you have [Git](https://git-scm.com/downloads) and [python](https://www.p
 ```
 Set-ExecutionPolicy Bypass -Scope Process -Force; [System.Net.ServicePointManager]::SecurityProtocol = [System.Net.ServicePointManager]::SecurityProtocol -bor 3072; iex ((New-Object System.Net.WebClient).DownloadString('https://community.chocolatey.org/install.ps1'))
 ```
-2. Install the GNU make. `choco install make`
+2. Install the build tools. `choco install make cmake`
 3. Install the ffmpeg. `choco install ffmpeg`
-4. Install [MSYS2](https://www.msys2.org/), follow [this guide](https://sajidifti.medium.com/how-to-install-gcc-and-gdb-on-windows-using-msys2-tutorial-0fceb7e66454).
-5. Clone the repository `git clone --recursive https://github.com/chidiwilliams/buzz.git`
-6. Enter repo folder `cd buzz`
-7. Install uv `powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"`
-8. Install the dependencies `uv sync`
-9. `cp -r .\dll_backup\ .\buzz\`
-10. Build Buzz `uv build`
-11. Run Buzz `uv run buzz`
+4. Download [Build Tools for Visual Studio 2022](https://visualstudio.microsoft.com/vs/older-downloads/) and install "Desktop development with C++" workload.
+5. Add location of `namke` to your PATH environment variable. Usually it is `C:\Program Files (x86)\Microsoft Visual Studio\2022\BuildTools\VC\Tools\MSVC\14.44.35207\bin\Hostx64\x86`
+6. Install Vulkan SDK from https://vulkan.lunarg.com/sdk/home
+7. Clone the repository `git clone --recursive https://github.com/chidiwilliams/buzz.git`
+8. Enter repo folder `cd buzz`
+9. Install uv `powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"`
+10. Install the dependencies `uv sync`
+11. Build Whisper.cpp `uv run make buzz/whisper_cpp`
+12. `cp -r .\dll_backup\ .\buzz\`
+13. Run Buzz `uv run buzz`
 
 Note: It should be safe to ignore any "syntax errors" you see during the build. Buzz will work. Also you can ignore any errors for FFmpeg. Buzz tries to load FFmpeg by several different means and some of them throw errors, but FFmpeg should eventually be found and work. 
 
@@ -118,16 +120,4 @@ uv add --index https://pypi.ngc.nvidia.com nvidia-cublas-cu12==12.8.3.14 nvidia-
 
 To use Faster Whisper on GPU, install the following libraries:
 * [cuBLAS](https://developer.nvidia.com/cublas)
-* [cuDNN](https://developer.nvidia.com/cudnn)
-
-If you run into issues with FFmpeg, ensure ffmpeg dependencies are installed
-```
-pip3 uninstall ffmpeg ffmpeg-python  
-pip3 install ffmpeg
-pip3 install ffmpeg-python
-```
-
-For Whisper.cpp you will need to install Vulkan SDK.
-Follow the instructions here https://vulkan.lunarg.com/doc/sdk/latest/windows/getting_started.html
-
-Run Buzz `python -m buzz`
+* [cuDNN](https://developer.nvidia.com/cudnn)

Makefile

@@ -1,5 +1,5 @@
-version := 1.3.2
-version_escaped := $$(echo ${version} | sed -e 's/\./\\./g')
+# Change also in pyproject.toml and buzz/__version__.py
+version := 1.4.4
 
 mac_app_path := ./dist/Buzz.app
 mac_zip_path := ./dist/Buzz-${version}-mac.zip
@@ -23,15 +23,23 @@ ifeq ($(OS), Windows_NT)
 	-rm -rf buzz/whisper_cpp
 	-rm -rf whisper.cpp/build
 	-rm -rf dist/*
+	-rm -rf buzz/__pycache__ buzz/**/__pycache__ buzz/**/**/__pycache__ buzz/**/**/**/__pycache__
+	-for /d /r buzz %%d in (__pycache__) do @if exist "%%d" rmdir /s /q "%%d"
 else
 	rm -rf buzz/whisper_cpp || true
 	rm -rf whisper.cpp/build || true
 	rm -rf dist/* || true
+	find buzz -type d -name "__pycache__" -exec rm -rf {} + 2>/dev/null || true
 endif
 
-COVERAGE_THRESHOLD := 75
+COVERAGE_THRESHOLD := 70
 
 test: buzz/whisper_cpp
+# A check to get updates of yt-dlp. Should run only on local as part of regular development operations
+# Sort of a local "update checker"
+ifndef CI
+	uv lock --upgrade-package yt-dlp
+endif
 	pytest -s -vv --cov=buzz --cov-report=xml --cov-report=html --benchmark-skip --cov-fail-under=${COVERAGE_THRESHOLD} --cov-config=.coveragerc
 
 benchmarks: buzz/whisper_cpp
@@ -49,30 +57,33 @@ ifeq ($(OS), Windows_NT)
 	# The _DISABLE_CONSTEXPR_MUTEX_CONSTRUCTOR is needed to prevent mutex lock issues on Windows
 	# https://github.com/actions/runner-images/issues/10004#issuecomment-2156109231
 	# -DCMAKE_[C|CXX]_COMPILER_WORKS=TRUE is used to prevent issue in building test program that fails on CI
-	cmake -S whisper.cpp -B whisper.cpp/build/ -DCMAKE_BUILD_TYPE=Release -DBUILD_SHARED_LIBS=OFF -DCMAKE_INSTALL_RPATH='$$ORIGIN' -DCMAKE_BUILD_WITH_INSTALL_RPATH=ON -DCMAKE_C_FLAGS="-D_DISABLE_CONSTEXPR_MUTEX_CONSTRUCTOR"  -DCMAKE_CXX_FLAGS="-D_DISABLE_CONSTEXPR_MUTEX_CONSTRUCTOR" -DCMAKE_C_COMPILER_WORKS=TRUE -DCMAKE_CXX_COMPILER_WORKS=TRUE -DGGML_VULKAN=1
+	# GGML_NATIVE=OFF ensures we don't use -march=native (which would target the build machine's CPU)
+	cmake -S whisper.cpp -B whisper.cpp/build/ -DCMAKE_BUILD_TYPE=Release -DBUILD_SHARED_LIBS=OFF -DCMAKE_INSTALL_RPATH='$$ORIGIN' -DCMAKE_BUILD_WITH_INSTALL_RPATH=ON -DCMAKE_C_FLAGS="-D_DISABLE_CONSTEXPR_MUTEX_CONSTRUCTOR"  -DCMAKE_CXX_FLAGS="-D_DISABLE_CONSTEXPR_MUTEX_CONSTRUCTOR" -DCMAKE_C_COMPILER_WORKS=TRUE -DCMAKE_CXX_COMPILER_WORKS=TRUE -DGGML_VULKAN=1 -DGGML_NATIVE=OFF
 	cmake --build whisper.cpp/build -j --config Release --verbose
 
 	-mkdir buzz/whisper_cpp
 	cp whisper.cpp/build/bin/Release/whisper-cli.exe buzz/whisper_cpp/
 	cp whisper.cpp/build/bin/Release/whisper-server.exe buzz/whisper_cpp/
 	cp dll_backup/SDL2.dll buzz/whisper_cpp
+	PowerShell -NoProfile -ExecutionPolicy Bypass -Command "if (-not (Test-Path 'buzz\whisper_cpp\ggml-silero-v6.2.0.bin')) { Start-BitsTransfer -Source https://huggingface.co/ggml-org/whisper-vad/resolve/main/ggml-silero-v6.2.0.bin -Destination 'buzz\whisper_cpp\ggml-silero-v6.2.0.bin' }"
 endif
 
 ifeq ($(shell uname -s), Linux)
 	# Build Whisper with Vulkan support
+	# GGML_NATIVE=OFF ensures we don't use -march=native (which would target the build machine's CPU)
+	# This enables portable SSE4.2/AVX/AVX2 optimizations that work on most x86_64 CPUs
 	rm -rf whisper.cpp/build || true
 	-mkdir -p buzz/whisper_cpp
-	cmake -S whisper.cpp -B whisper.cpp/build/ -DCMAKE_BUILD_TYPE=Release -DBUILD_SHARED_LIBS=ON -DCMAKE_INSTALL_RPATH='$$ORIGIN' -DCMAKE_BUILD_WITH_INSTALL_RPATH=ON -DGGML_VULKAN=1
+	cmake -S whisper.cpp -B whisper.cpp/build/ -DCMAKE_BUILD_TYPE=Release -DBUILD_SHARED_LIBS=ON -DCMAKE_INSTALL_RPATH='$$ORIGIN' -DCMAKE_BUILD_WITH_INSTALL_RPATH=ON -DGGML_VULKAN=1 -DGGML_NATIVE=OFF
 	cmake --build whisper.cpp/build -j --config Release --verbose
 	cp whisper.cpp/build/bin/whisper-cli buzz/whisper_cpp/ || true
 	cp whisper.cpp/build/bin/whisper-server buzz/whisper_cpp/ || true
-	cp whisper.cpp/build/src/libwhisper.so buzz/whisper_cpp/ || true
-	cp whisper.cpp/build/src/libwhisper.so.1 buzz/whisper_cpp/ || true
-	cp whisper.cpp/build/src/libwhisper.so.1.7.6 buzz/whisper_cpp/ || true
-	cp whisper.cpp/build/ggml/src/libggml.so buzz/whisper_cpp/ || true
-	cp whisper.cpp/build/ggml/src/libggml-base.so buzz/whisper_cpp/ || true
-	cp whisper.cpp/build/ggml/src/libggml-cpu.so buzz/whisper_cpp/ || true
-	cp whisper.cpp/build/ggml/src/ggml-vulkan/libggml-vulkan.so buzz/whisper_cpp/ || true
+	cp -P whisper.cpp/build/src/libwhisper.so* buzz/whisper_cpp/ || true
+	cp -P whisper.cpp/build/ggml/src/libggml.so* buzz/whisper_cpp/ || true
+	cp -P whisper.cpp/build/ggml/src/libggml-base.so* buzz/whisper_cpp/ || true
+	cp -P whisper.cpp/build/ggml/src/libggml-cpu.so* buzz/whisper_cpp/ || true
+	cp -P whisper.cpp/build/ggml/src/ggml-vulkan/libggml-vulkan.so* buzz/whisper_cpp/ || true
+	test -f buzz/whisper_cpp/ggml-silero-v6.2.0.bin || curl -L -o buzz/whisper_cpp/ggml-silero-v6.2.0.bin https://huggingface.co/ggml-org/whisper-vad/resolve/main/ggml-silero-v6.2.0.bin
 endif
 
 # Build on Macs
@@ -92,6 +103,7 @@ endif
 	cp whisper.cpp/build/bin/whisper-server buzz/whisper_cpp/ || true
 	cp whisper.cpp/build/src/libwhisper.dylib buzz/whisper_cpp/ || true
 	cp whisper.cpp/build/ggml/src/libggml* buzz/whisper_cpp/ || true
+	test -f buzz/whisper_cpp/ggml-silero-v6.2.0.bin || curl -L -o buzz/whisper_cpp/ggml-silero-v6.2.0.bin https://huggingface.co/ggml-org/whisper-vad/resolve/main/ggml-silero-v6.2.0.bin
 endif
 
 # Prints all the Mac developer identities used for code signing
@@ -184,26 +196,26 @@ gh_upgrade_pr:
 # Internationalization
 
 translation_po_all:
-	$(MAKE) translation_po locale=en_US
 	$(MAKE) translation_po locale=ca_ES
-	$(MAKE) translation_po locale=es_ES
-	$(MAKE) translation_po locale=pl_PL
-	$(MAKE) translation_po locale=zh_CN
-	$(MAKE) translation_po locale=zh_TW
-	$(MAKE) translation_po locale=it_IT
-	$(MAKE) translation_po locale=lv_LV
-	$(MAKE) translation_po locale=uk_UA
-	$(MAKE) translation_po locale=ja_JP
 	$(MAKE) translation_po locale=da_DK
 	$(MAKE) translation_po locale=de_DE
+	$(MAKE) translation_po locale=en_US
+	$(MAKE) translation_po locale=es_ES
+	$(MAKE) translation_po locale=it_IT
+	$(MAKE) translation_po locale=ja_JP
+	$(MAKE) translation_po locale=lv_LV
 	$(MAKE) translation_po locale=nl
+	$(MAKE) translation_po locale=pl_PL
 	$(MAKE) translation_po locale=pt_BR
+	$(MAKE) translation_po locale=uk_UA
+	$(MAKE) translation_po locale=zh_CN
+	$(MAKE) translation_po locale=zh_TW
 
 TMP_POT_FILE_PATH := $(shell mktemp)
 PO_FILE_PATH := buzz/locale/${locale}/LC_MESSAGES/buzz.po
 translation_po:
 	mkdir -p buzz/locale/${locale}/LC_MESSAGES
-	xgettext --from-code=UTF-8 -o "${TMP_POT_FILE_PATH}" -l python $(shell find buzz -name '*.py')
+	xgettext --from-code=UTF-8 --add-location=file -o "${TMP_POT_FILE_PATH}" -l python $(shell find buzz -name '*.py')
 	sed -i.bak 's/CHARSET/UTF-8/' ${TMP_POT_FILE_PATH}
 	if [ ! -f ${PO_FILE_PATH} ]; then \
 		msginit --no-translator --input=${TMP_POT_FILE_PATH} --output-file=${PO_FILE_PATH}; \

README.ja_JP.md

@@ -0,0 +1,98 @@
+# Buzz
+
+[ドキュメント](https://chidiwilliams.github.io/buzz/)
+
+パソコン上でオフラインで音声の文字起こしと翻訳を行います。OpenAIの[Whisper](https://github.com/openai/whisper)を使用しています。
+
+![MIT License](https://img.shields.io/badge/license-MIT-green)
+[![CI](https://github.com/chidiwilliams/buzz/actions/workflows/ci.yml/badge.svg)](https://github.com/chidiwilliams/buzz/actions/workflows/ci.yml)
+[![codecov](https://codecov.io/github/chidiwilliams/buzz/branch/main/graph/badge.svg?token=YJSB8S2VEP)](https://codecov.io/github/chidiwilliams/buzz)
+![GitHub release (latest by date)](https://img.shields.io/github/v/release/chidiwilliams/buzz)
+[![Github all releases](https://img.shields.io/github/downloads/chidiwilliams/buzz/total.svg)](https://GitHub.com/chidiwilliams/buzz/releases/)
+
+![Buzz](./buzz/assets/buzz-banner.jpg)
+
+## 機能
+- 音声・動画ファイルまたはYouTubeリンクの文字起こし
+- マイクからのリアルタイム音声文字起こし
+  - イベントやプレゼンテーション中に便利なプレゼンテーションウィンドウ
+- ノイズの多い音声でより高い精度を得るための、文字起こし前の話者分離
+- 文字起こしメディアでの話者識別
+- 複数のWhisperバックエンドをサポート
+  - Nvidia GPU向けCUDAアクセラレーション対応
+  - Mac向けApple Silicon対応
+  - Whisper.cppでのVulkanアクセラレーション対応（統合GPUを含むほとんどのGPUで利用可能）
+- TXT、SRT、VTT形式での文字起こしエクスポート
+- 検索、再生コントロール、速度調整機能を備えた高度な文字起こしビューア
+- 効率的なナビゲーションのためのキーボードショートカット
+- 新しいファイルの自動文字起こしのための監視フォルダ
+- スクリプトや自動化のためのコマンドラインインターフェース
+
+## インストール
+
+### macOS
+
+[SourceForge](https://sourceforge.net/projects/buzz-captions/files/)から`.dmg`ファイルをダウンロードしてください。
+
+### Windows
+
+[SourceForge](https://sourceforge.net/projects/buzz-captions/files/)からインストールファイルを入手してください。
+
+アプリは署名されていないため、インストール時に警告が表示されます。`詳細情報` -> `実行`を選択してください。
+
+### Linux
+
+Buzzは[Flatpak](https://flathub.org/apps/io.github.chidiwilliams.Buzz)または[Snap](https://snapcraft.io/buzz)として利用可能です。
+
+Flatpakをインストールするには、以下を実行してください：
+```shell
+flatpak install flathub io.github.chidiwilliams.Buzz
+```
+
+[![Download on Flathub](https://flathub.org/api/badge?svg&locale=en)](https://flathub.org/en/apps/io.github.chidiwilliams.Buzz)
+
+Snapをインストールするには、以下を実行してください：
+```shell
+sudo apt-get install libportaudio2 libcanberra-gtk-module libcanberra-gtk3-module
+sudo snap install buzz
+```
+
+[![Get it from the Snap Store](https://snapcraft.io/static/images/badges/en/snap-store-black.svg)](https://snapcraft.io/buzz)
+
+### PyPI
+
+[ffmpeg](https://www.ffmpeg.org/download.html)をインストールしてください。
+
+Python 3.12環境を使用していることを確認してください。
+
+Buzzをインストール
+
+```shell
+pip install buzz-captions
+python -m buzz
+```
+
+**PyPIでのGPUサポート**
+
+PyPIでインストールしたバージョンでWindows上のNvidia GPUのGPUサポートを有効にするには、[torch](https://pytorch.org/get-started/locally/)のCUDAサポートを確認してください。
+
+```
+pip3 install -U torch==2.8.0+cu129 torchaudio==2.8.0+cu129 --index-url https://download.pytorch.org/whl/cu129
+pip3 install nvidia-cublas-cu12==12.9.1.4 nvidia-cuda-cupti-cu12==12.9.79 nvidia-cuda-runtime-cu12==12.9.79 --extra-index-url https://pypi.ngc.nvidia.com
+```
+
+### 最新開発版
+
+最新の機能やバグ修正を含む最新開発版の入手方法については、[FAQ](https://chidiwilliams.github.io/buzz/docs/faq#9-where-can-i-get-latest-development-version)をご覧ください。
+
+### スクリーンショット
+
+<div style="display: flex; flex-wrap: wrap;">
+    <img alt="ファイルインポート" src="share/screenshots/buzz-1-import.png" style="max-width: 18%; margin-right: 1%;" />
+    <img alt="メイン画面" src="share/screenshots/buzz-2-main_screen.png" style="max-width: 18%; margin-right: 1%; height:auto;" />
+    <img alt="設定" src="share/screenshots/buzz-3-preferences.png" style="max-width: 18%; margin-right: 1%; height:auto;" />
+    <img alt="モデル設定" src="share/screenshots/buzz-3.2-model-preferences.png" style="max-width: 18%; margin-right: 1%; height:auto;" />
+    <img alt="文字起こし" src="share/screenshots/buzz-4-transcript.png" style="max-width: 18%; margin-right: 1%; height:auto;" />
+    <img alt="ライブ録音" src="share/screenshots/buzz-5-live_recording.png" style="max-width: 18%; margin-right: 1%; height:auto;" />
+    <img alt="リサイズ" src="share/screenshots/buzz-6-resize.png" style="max-width: 18%;" />
+</div>

README.md

@@ -2,7 +2,7 @@
 
 # Buzz
 
-[Documentation](https://chidiwilliams.github.io/buzz/) | [Buzz Captions on the App Store](https://apps.apple.com/us/app/buzz-captions/id6446018936?mt=12&itsct=apps_box_badge&itscg=30200)
+[Documentation](https://chidiwilliams.github.io/buzz/)
 
 Transcribe and translate audio offline on your personal computer. Powered by
 OpenAI's [Whisper](https://github.com/openai/whisper).
@@ -13,57 +13,36 @@ OpenAI's [Whisper](https://github.com/openai/whisper).
 ![GitHub release (latest by date)](https://img.shields.io/github/v/release/chidiwilliams/buzz)
 [![Github all releases](https://img.shields.io/github/downloads/chidiwilliams/buzz/total.svg)](https://GitHub.com/chidiwilliams/buzz/releases/)
 
-<blockquote>
-<p>Buzz is better on the App Store. Get a Mac-native version of Buzz with a cleaner look, audio playback, drag-and-drop import, transcript editing, search, and much more.</p>
-<a href="https://apps.apple.com/us/app/buzz-captions/id6446018936?mt=12&amp;itsct=apps_box_badge&amp;itscg=30200"><img src="https://toolbox.marketingtools.apple.com/api/badges/download-on-the-mac-app-store/black/en-us?size=250x83&amp;releaseDate=1679529600" alt="Download on the Mac App Store" /></a>
-</blockquote>
+![Buzz](https://raw.githubusercontent.com/chidiwilliams/buzz/refs/heads/main/buzz/assets/buzz-banner.jpg)
 
-![Buzz](./buzz/assets/buzz-banner.jpg)
+## Features
+- Transcribe audio and video files or Youtube links
+- Live realtime audio transcription from microphone
+  - Presentation window for easy accessibility during events and presentations
+- Speech separation before transcription for better accuracy on noisy audio
+- Speaker identification in transcribed media
+- Multiple whisper backend support
+  - CUDA acceleration support for Nvidia GPUs
+  - Apple Silicon support for Macs
+  - Vulkan acceleration support for Whisper.cpp on most GPUs, including integrated GPUs
+- Export transcripts to TXT, SRT, and VTT
+- Advanced Transcription Viewer with search, playback controls, and speed adjustment
+- Keyboard shortcuts for efficient navigation
+- Watch folder for automatic transcription of new files
+- Command-Line Interface for scripting and automation
 
 ## Installation
 
-### PyPI
-
-Install [ffmpeg](https://www.ffmpeg.org/download.html)
-
-Install Buzz
-
-```shell
-pip install buzz-captions
-python -m buzz
-```
-
 ### macOS
 
-Install with [brew utility](https://brew.sh/)
-
-```shell
-brew install --cask buzz
-```
-
-Or download the `.dmg` from the [releases page](https://github.com/chidiwilliams/buzz/releases/latest).
+Download the `.dmg` from the [SourceForge](https://sourceforge.net/projects/buzz-captions/files/).
 
 ### Windows
 
-Download and run the `.exe` from the [releases page](https://github.com/chidiwilliams/buzz/releases/latest).
+Get the installation files from the [SourceForge](https://sourceforge.net/projects/buzz-captions/files/).
 
 App is not signed, you will get a warning when you install it. Select `More info` -> `Run anyway`.
 
-**Alternatively, install with [winget](https://learn.microsoft.com/en-us/windows/package-manager/winget/)**
-
-```shell
-winget install ChidiWilliams.Buzz
-```
-
-**GPU support for PyPI**
-
-To have GPU support for Nvidia GPUS on Windows, for PyPI installed version ensure, CUDA support for [torch](https://pytorch.org/get-started/locally/) 
-
-```
-pip3 install -U torch==2.7.1+cu128 torchaudio==2.7.1+cu128 --index-url https://download.pytorch.org/whl/cu128
-pip3 install nvidia-cublas-cu12==12.8.3.14 nvidia-cuda-cupti-cu12==12.8.57 nvidia-cuda-nvrtc-cu12==12.8.61 nvidia-cuda-runtime-cu12==12.8.57 nvidia-cudnn-cu12==9.7.1.26 nvidia-cufft-cu12==11.3.3.41 nvidia-curand-cu12==10.3.9.55 nvidia-cusolver-cu12==11.7.2.55 nvidia-cusparse-cu12==12.5.4.2 nvidia-cusparselt-cu12==0.6.3 nvidia-nvjitlink-cu12==12.8.61 nvidia-nvtx-cu12==12.8.55 --extra-index-url https://pypi.ngc.nvidia.com
-```
-
 ### Linux
 
 Buzz is available as a [Flatpak](https://flathub.org/apps/io.github.chidiwilliams.Buzz) or a [Snap](https://snapcraft.io/buzz). 
@@ -73,26 +52,55 @@ To install flatpak, run:
 flatpak install flathub io.github.chidiwilliams.Buzz
 ```
 
+[![Download on Flathub](https://flathub.org/api/badge?svg&locale=en)](https://flathub.org/en/apps/io.github.chidiwilliams.Buzz)
+
 To install snap, run:
 ```shell
 sudo apt-get install libportaudio2 libcanberra-gtk-module libcanberra-gtk3-module
 sudo snap install buzz
-sudo snap connect buzz:password-manager-service
+```
+
+[![Get it from the Snap Store](https://snapcraft.io/static/images/badges/en/snap-store-black.svg)](https://snapcraft.io/buzz)
+
+### PyPI
+
+Install [ffmpeg](https://www.ffmpeg.org/download.html)
+
+Ensure you use Python 3.12 environment.
+
+Install Buzz
+
+```shell
+pip install buzz-captions
+python -m buzz
+```
+
+**GPU support for PyPI**
+
+To have GPU support for Nvidia GPUS on Windows, for PyPI installed version ensure, CUDA support for [torch](https://pytorch.org/get-started/locally/) 
+
+```
+pip3 install -U torch==2.8.0+cu129 torchaudio==2.8.0+cu129 --index-url https://download.pytorch.org/whl/cu129
+pip3 install nvidia-cublas-cu12==12.9.1.4 nvidia-cuda-cupti-cu12==12.9.79 nvidia-cuda-runtime-cu12==12.9.79 --extra-index-url https://pypi.ngc.nvidia.com
 ```
 
 ### Latest development version
 
 For info on how to get latest development version with latest features and bug fixes see [FAQ](https://chidiwilliams.github.io/buzz/docs/faq#9-where-can-i-get-latest-development-version).
 
+### Support Buzz
+
+You can help the Buzz by starring 🌟 the repo and sharing it with your friends.
+
 ### Screenshots
 
 <div style="display: flex; flex-wrap: wrap;">
-    <img alt="File import" src="share/screenshots/buzz-1-import.png" style="max-width: 18%; margin-right: 1%;" />
-    <img alt="Main screen" src="share/screenshots/buzz-2-main_screen.png" style="max-width: 18%; margin-right: 1%; height:auto;" />
-    <img alt="Preferences" src="share/screenshots/buzz-3-preferences.png" style="max-width: 18%; margin-right: 1%; height:auto;" />
-    <img alt="Model preferences" src="share/screenshots/buzz-3.2-model-preferences.png" style="max-width: 18%; margin-right: 1%; height:auto;" />
-    <img alt="Transcript" src="share/screenshots/buzz-4-transcript.png" style="max-width: 18%; margin-right: 1%; height:auto;" />
-    <img alt="Live recording" src="share/screenshots/buzz-5-live_recording.png" style="max-width: 18%; margin-right: 1%; height:auto;" />
-    <img alt="Resize" src="share/screenshots/buzz-6-resize.png" style="max-width: 18%;" />
+    <img alt="File import" src="https://github.com/chidiwilliams/buzz/raw/main/share/screenshots/buzz-1-import.png" style="max-width: 18%; margin-right: 1%;" />
+    <img alt="Main screen" src="https://github.com/chidiwilliams/buzz/raw/main/share/screenshots/buzz-2-main_screen.png" style="max-width: 18%; margin-right: 1%; height:auto;" />
+    <img alt="Preferences" src="https://github.com/chidiwilliams/buzz/raw/main/share/screenshots/buzz-3-preferences.png" style="max-width: 18%; margin-right: 1%; height:auto;" />
+    <img alt="Model preferences" src="https://github.com/chidiwilliams/buzz/raw/main/share/screenshots/buzz-3.2-model-preferences.png" style="max-width: 18%; margin-right: 1%; height:auto;" />
+    <img alt="Transcript" src="https://github.com/chidiwilliams/buzz/raw/main/share/screenshots/buzz-4-transcript.png" style="max-width: 18%; margin-right: 1%; height:auto;" />
+    <img alt="Live recording" src="https://github.com/chidiwilliams/buzz/raw/main/share/screenshots/buzz-5-live_recording.png" style="max-width: 18%; margin-right: 1%; height:auto;" />
+    <img alt="Resize" src="https://github.com/chidiwilliams/buzz/raw/main/share/screenshots/buzz-6-resize.png" style="max-width: 18%;" />
 </div>
 

buzz/__version__.py

@@ -1 +1 @@
-VERSION = "1.3.2"
+VERSION = "1.4.4"

buzz/assets/icons/color-background.svg

@@ -0,0 +1,6 @@
+<?xml version="1.0" encoding="utf-8"?><!-- Uploaded to: SVG Repo, www.svgrepo.com, Generator: SVG Repo Mixer Tools -->
+<svg width="800px" height="800px" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
+<path d="M6.75 1C6.33579 1 6 1.33579 6 1.75V3.50559C5.96824 3.53358 5.93715 3.56276 5.9068 3.59311L1.66416 7.83575C0.883107 8.6168 0.883107 9.88313 1.66416 10.6642L5.19969 14.1997C5.98074 14.9808 7.24707 14.9808 8.02812 14.1997L12.2708 9.95707C13.0518 9.17602 13.0518 7.90969 12.2708 7.12864L8.73522 3.59311C8.39027 3.24816 7.95066 3.05555 7.5 3.0153V1.75C7.5 1.33579 7.16421 1 6.75 1ZM6 5.62123V6.25C6 6.66421 6.33579 7 6.75 7C7.16421 7 7.5 6.66421 7.5 6.25V4.54033C7.56363 4.56467 7.62328 4.60249 7.67456 4.65377L11.2101 8.1893C11.2995 8.27875 11.348 8.39366 11.3555 8.51071H3.11052L6 5.62123ZM6.26035 13.1391L3.132 10.0107H10.0958L6.96746 13.1391C6.77219 13.3343 6.45561 13.3343 6.26035 13.1391Z" fill="#212121"/>
+<path d="M2 17.5V12.4143L3.5 13.9143V17.5C3.5 18.0523 3.94772 18.5 4.5 18.5H19.5C20.0523 18.5 20.5 18.0523 20.5 17.5V6.5C20.5 5.94771 20.0523 5.5 19.5 5.5H12.0563L10.5563 4H19.5C20.8807 4 22 5.11929 22 6.5V17.5C22 18.8807 20.8807 20 19.5 20H4.5C3.11929 20 2 18.8807 2 17.5Z" fill="#212121"/>
+<path d="M11 14.375C11 13.8816 11.1541 13.4027 11.3418 12.9938C11.5325 12.5784 11.7798 12.1881 12.0158 11.8595C12.2531 11.5289 12.4888 11.247 12.6647 11.0481C12.7502 10.9515 12.9062 10.7867 12.9642 10.7254L12.9697 10.7197C13.2626 10.4268 13.7374 10.4268 14.0303 10.7197L14.3353 11.0481C14.5112 11.247 14.7469 11.5289 14.9842 11.8595C15.2202 12.1881 15.4675 12.5784 15.6582 12.9938C15.8459 13.4027 16 13.8816 16 14.375C16 15.7654 14.9711 17 13.5 17C12.0289 17 11 15.7654 11 14.375ZM13.7658 12.7343C13.676 12.6092 13.5858 12.4916 13.5 12.3844C13.4142 12.4916 13.324 12.6092 13.2342 12.7343C13.0327 13.015 12.8425 13.32 12.7051 13.6195C12.5647 13.9253 12.5 14.1808 12.5 14.375C12.5 15.0663 12.9809 15.5 13.5 15.5C14.0191 15.5 14.5 15.0663 14.5 14.375C14.5 14.1808 14.4353 13.9253 14.2949 13.6195C14.1575 13.32 13.9673 13.015 13.7658 12.7343Z" fill="#212121"/>
+</svg>

buzz/assets/icons/fullscreen.svg

@@ -0,0 +1,5 @@
+<?xml version="1.0" encoding="utf-8"?><!-- Uploaded to: SVG Repo, www.svgrepo.com, Generator: SVG Repo Mixer Tools -->
+<svg width="800px" height="800px" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
+<path d="M21.7092 2.29502C21.8041 2.3904 21.8757 2.50014 21.9241 2.61722C21.9727 2.73425 21.9996 2.8625 22 2.997L22 3V9C22 9.55228 21.5523 10 21 10C20.4477 10 20 9.55228 20 9V5.41421L14.7071 10.7071C14.3166 11.0976 13.6834 11.0976 13.2929 10.7071C12.9024 10.3166 12.9024 9.68342 13.2929 9.29289L18.5858 4H15C14.4477 4 14 3.55228 14 3C14 2.44772 14.4477 2 15 2H20.9998C21.2749 2 21.5242 2.11106 21.705 2.29078L21.7092 2.29502Z" fill="#000000"/>
+<path d="M10.7071 14.7071L5.41421 20H9C9.55228 20 10 20.4477 10 21C10 21.5523 9.55228 22 9 22H3.00069L2.997 22C2.74301 21.9992 2.48924 21.9023 2.29502 21.7092L2.29078 21.705C2.19595 21.6096 2.12432 21.4999 2.07588 21.3828C2.02699 21.2649 2 21.1356 2 21V15C2 14.4477 2.44772 14 3 14C3.55228 14 4 14.4477 4 15V18.5858L9.29289 13.2929C9.68342 12.9024 10.3166 12.9024 10.7071 13.2929C11.0976 13.6834 11.0976 14.3166 10.7071 14.7071Z" fill="#000000"/>
+</svg>

buzz/assets/icons/gui-text-color.svg

@@ -0,0 +1,2 @@
+<?xml version="1.0" encoding="utf-8"?><!-- Uploaded to: SVG Repo, www.svgrepo.com, Generator: SVG Repo Mixer Tools -->
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buzz/assets/icons/new-window.svg

@@ -0,0 +1,7 @@
+<?xml version="1.0" encoding="utf-8"?><!-- Uploaded to: SVG Repo, www.svgrepo.com, Generator: SVG Repo Mixer Tools -->
+<svg width="800px" height="800px" viewBox="-0.5 0 25 25" fill="none" xmlns="http://www.w3.org/2000/svg">
+<path d="M8.93994 9.39998V5.48999C8.93994 5.20999 9.15994 4.98999 9.43994 4.98999H20.9999C21.2799 4.98999 21.4999 5.20999 21.4999 5.48999V13.09C21.4999 13.37 21.2799 13.59 20.9999 13.59L17.0599 13.6" stroke="#0F0F0F" stroke-miterlimit="10" stroke-linecap="round" stroke-linejoin="round"/>
+<path d="M17.7301 8.72998L16.4301 10.03" stroke="#0F0F0F" stroke-miterlimit="10" stroke-linecap="round" stroke-linejoin="round"/>
+<path d="M3 11.4H14.56C14.84 11.4 15.06 11.62 15.06 11.9V19.51C15.06 19.79 14.84 20.01 14.56 20.01H3C2.72 20.01 2.5 19.79 2.5 19.51V11.9C2.5 11.63 2.72 11.4 3 11.4Z" stroke="#0F0F0F" stroke-miterlimit="10" stroke-linecap="round" stroke-linejoin="round"/>
+<path d="M19.32 10.03V7.64001C19.32 7.36001 19.1 7.14001 18.82 7.14001H16.42" stroke="#0F0F0F" stroke-miterlimit="10" stroke-linecap="round" stroke-linejoin="round"/>
+</svg>

buzz/assets/speaker-identification.svg

@@ -0,0 +1,14 @@
+<?xml version="1.0" encoding="iso-8859-1"?>
+<svg height="800px" width="800px" version="1.1" id="Capa_1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"
+	 viewBox="0 0 493.347 493.347" xml:space="preserve">
+<g>
+	<path style="fill:#010002;" d="M191.936,385.946c-14.452,0-29.029-1.36-43.319-4.04l-5.299-0.996l-66.745,37.15v-63.207
+		l-6.629-4.427C25.496,320.716,0,277.045,0,230.617c0-85.648,86.102-155.33,191.936-155.33c17.077,0,33.623,1.838,49.394,5.239
+		c-50.486,27.298-84.008,74.801-84.008,128.765c0,72.969,61.25,134.147,142.942,149.464
+		C269.41,375.892,232.099,385.946,191.936,385.946z"/>
+	<path style="fill:#010002;" d="M437.777,304.278l-6.629,4.427v48.075l-50.933-28.343l-0.125,0.024l-5.167,0.967
+		c-11.444,2.142-23.104,3.228-34.673,3.228c-1.241,0-2.47-0.054-3.705-0.078c-82.707-1.599-149.387-56.268-149.387-123.287
+		c0-52.109,40.324-96.741,97.129-114.791c14.47-4.594,30.001-7.471,46.219-8.3c3.228-0.167,6.468-0.274,9.75-0.274
+		c84.413,0,153.092,55.343,153.092,123.365C493.347,246.053,473.089,280.679,437.777,304.278z"/>
+</g>
+</svg>

buzz/assets/update_FILL0_wght700_GRAD0_opsz48.svg

@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" height="48" viewBox="0 -960 960 960" width="48"><path d="M160-200v-60h640v60H160Zm320-136L280-536l42-42 128 128v-310h60v310l128-128 42 42-200 200Z" transform="rotate(180 480 -480)"/></svg>

buzz/buzz.py

@@ -4,18 +4,32 @@ import multiprocessing
 import os
 import platform
 import sys
+from pathlib import Path
 from typing import TextIO
 
+# Set up CUDA library paths before any torch imports
+# This must happen before platformdirs or any other imports that might indirectly load torch
+import buzz.cuda_setup  # noqa: F401
+
 from platformdirs import user_log_dir, user_cache_dir, user_data_dir
 
+# Will download all Huggingface data to the app cache directory
+os.environ.setdefault("HF_HOME", user_cache_dir("Buzz"))
+
 from buzz.assets import APP_BASE_DIR
 
 # Check for segfaults if not running in frozen mode
-if getattr(sys, "frozen", False) is False:
+# Note: On Windows, faulthandler can print "Windows fatal exception" messages
+# for non-fatal RPC errors (0x800706be) during multiprocessing operations.
+# These are usually harmless but noisy, so we disable faulthandler on Windows.
+if getattr(sys, "frozen", False) is False and platform.system() != "Windows":
     faulthandler.enable()
 
-# Sets stderr to no-op TextIO when None (run as Windows GUI).
-# Resolves https://github.com/chidiwilliams/buzz/issues/221
+# Sets stdout/stderr to no-op TextIO when None (run as Windows GUI with --noconsole).
+# stdout fix: torch.hub uses sys.stdout.write() for download progress and crashes if None.
+# stderr fix: Resolves https://github.com/chidiwilliams/buzz/issues/221
+if sys.stdout is None:
+    sys.stdout = TextIO()
 if sys.stderr is None:
     sys.stderr = TextIO()
 
@@ -56,6 +70,18 @@ def main():
         format=log_format,
     )
 
+    # Silence noisy third-party library loggers
+    logging.getLogger("matplotlib").setLevel(logging.WARNING)
+    logging.getLogger("graphviz").setLevel(logging.WARNING)
+    logging.getLogger("nemo_logger").setLevel(logging.ERROR)
+    logging.getLogger("nemo_logging").setLevel(logging.ERROR)
+    logging.getLogger("numba").setLevel(logging.WARNING)
+    logging.getLogger("torio._extension.utils").setLevel(logging.WARNING)
+    logging.getLogger("export_config_manager").setLevel(logging.WARNING)
+    logging.getLogger("training_telemetry_provider").setLevel(logging.ERROR)
+    logging.getLogger("default_recorder").setLevel(logging.WARNING)
+    logging.getLogger("config").setLevel(logging.WARNING)
+
     if getattr(sys, "frozen", False) is False:
         stdout_handler = logging.StreamHandler(sys.stdout)
         stdout_handler.setLevel(logging.DEBUG)

buzz/cli.py

@@ -102,6 +102,9 @@ def parse(app: Application, parser: QCommandLineParser):
         word_timestamp_option = QCommandLineOption(
             ["w", "word-timestamps"], "Generate word-level timestamps."
         )
+        extract_speech_option = QCommandLineOption(
+            ["e", "extract-speech"], "Extract speech from audio before transcribing."
+        )
         open_ai_access_token_option = QCommandLineOption(
             "openai-token",
             f"OpenAI access token. Use only when --model-type is {CommandLineModelType.OPEN_AI_WHISPER_API.value}. Defaults to your previously saved access token, if one exists.",
@@ -124,6 +127,7 @@ def parse(app: Application, parser: QCommandLineParser):
                 language_option,
                 initial_prompt_option,
                 word_timestamp_option,
+                extract_speech_option,
                 open_ai_access_token_option,
                 output_directory_option,
                 srt_option,
@@ -178,6 +182,7 @@ def parse(app: Application, parser: QCommandLineParser):
         initial_prompt = parser.value(initial_prompt_option)
 
         word_timestamps = parser.isSet(word_timestamp_option)
+        extract_speech = parser.isSet(extract_speech_option)
 
         output_formats: typing.Set[OutputFormat] = set()
         if parser.isSet(srt_option):
@@ -205,6 +210,7 @@ def parse(app: Application, parser: QCommandLineParser):
             language=language,
             initial_prompt=initial_prompt,
             word_level_timings=word_timestamps,
+            extract_speech=extract_speech,
             openai_access_token=openai_access_token,
         )
 

buzz/cuda_setup.py

@@ -0,0 +1,130 @@
+"""
+CUDA library path setup for nvidia packages installed via pip.
+
+This module must be imported BEFORE any torch or CUDA-dependent libraries are imported.
+It handles locating and loading CUDA libraries (cuDNN, cuBLAS, etc.) from the nvidia
+pip packages.
+
+On Windows: Uses os.add_dll_directory() to add library paths
+On Linux: Uses ctypes to preload libraries (LD_LIBRARY_PATH is read at process start)
+On macOS: No action needed (CUDA not supported)
+"""
+
+import ctypes
+import logging
+import os
+import platform
+import sys
+from pathlib import Path
+
+
+logger = logging.getLogger(__name__)
+
+
+def _get_nvidia_package_lib_dirs() -> list[Path]:
+    """Find all nvidia package library directories in site-packages."""
+    lib_dirs = []
+
+    # Find site-packages directories
+    site_packages_dirs = []
+    for path in sys.path:
+        if "site-packages" in path:
+            site_packages_dirs.append(Path(path))
+
+    # Also check relative to the current module for frozen apps
+    if getattr(sys, "frozen", False):
+        # For frozen apps, check the _internal directory
+        frozen_lib_dir = Path(sys._MEIPASS) if hasattr(sys, "_MEIPASS") else Path(sys.executable).parent
+        nvidia_dir = frozen_lib_dir / "nvidia"
+        if nvidia_dir.exists():
+            for pkg_dir in nvidia_dir.iterdir():
+                if pkg_dir.is_dir():
+                    lib_subdir = pkg_dir / "lib"
+                    if lib_subdir.exists():
+                        lib_dirs.append(lib_subdir)
+                    # Some packages have bin directory on Windows
+                    bin_subdir = pkg_dir / "bin"
+                    if bin_subdir.exists():
+                        lib_dirs.append(bin_subdir)
+
+    # Check each site-packages for nvidia packages
+    for sp_dir in site_packages_dirs:
+        nvidia_dir = sp_dir / "nvidia"
+        if nvidia_dir.exists():
+            for pkg_dir in nvidia_dir.iterdir():
+                if pkg_dir.is_dir():
+                    lib_subdir = pkg_dir / "lib"
+                    if lib_subdir.exists():
+                        lib_dirs.append(lib_subdir)
+                    # Some packages have bin directory on Windows
+                    bin_subdir = pkg_dir / "bin"
+                    if bin_subdir.exists():
+                        lib_dirs.append(bin_subdir)
+
+    return lib_dirs
+
+
+def _setup_windows_dll_directories():
+    """Add nvidia library directories to Windows DLL search path."""
+    lib_dirs = _get_nvidia_package_lib_dirs()
+    for lib_dir in lib_dirs:
+        try:
+            os.add_dll_directory(str(lib_dir))
+        except (OSError, AttributeError) as e:
+            pass
+
+
+def _preload_linux_libraries():
+    """Preload CUDA libraries on Linux using ctypes.
+
+    On Linux, LD_LIBRARY_PATH is only read at process start, so we need to
+    manually load the libraries using ctypes before torch tries to load them.
+    """
+    lib_dirs = _get_nvidia_package_lib_dirs()
+
+    # Libraries to skip - NVBLAS requires special configuration and causes issues
+    skip_patterns = ["libnvblas"]
+
+    loaded_libs = set()
+
+    for lib_dir in lib_dirs:
+        if not lib_dir.exists():
+            continue
+
+        # Find all .so files in the directory
+        for lib_file in sorted(lib_dir.glob("*.so*")):
+            if lib_file.name in loaded_libs:
+                continue
+            if lib_file.is_symlink() and not lib_file.exists():
+                continue
+
+            # Skip problematic libraries
+            if any(pattern in lib_file.name for pattern in skip_patterns):
+                continue
+
+            try:
+                # Use RTLD_GLOBAL so symbols are available to other libraries
+                ctypes.CDLL(str(lib_file), mode=ctypes.RTLD_GLOBAL)
+                loaded_libs.add(lib_file.name)
+            except OSError as e:
+                # Some libraries may have missing dependencies, that's ok
+                pass
+
+
+def setup_cuda_libraries():
+    """Set up CUDA library paths for the current platform.
+
+    This function should be called as early as possible, before any torch
+    or CUDA-dependent libraries are imported.
+    """
+    system = platform.system()
+
+    if system == "Windows":
+        _setup_windows_dll_directories()
+    elif system == "Linux":
+        _preload_linux_libraries()
+    # macOS doesn't have CUDA support, so nothing to do
+
+
+# Auto-run setup when this module is imported
+setup_cuda_libraries()

buzz/db/dao/transcription_dao.py

@@ -34,7 +34,9 @@ class TranscriptionDAO(DAO[Transcription]):
                 whisper_model_size,
                 hugging_face_model_id,
                 word_level_timings,
-                extract_speech
+                extract_speech,
+                name,
+                notes
             ) VALUES (
                 :id,
                 :export_formats,
@@ -50,7 +52,9 @@ class TranscriptionDAO(DAO[Transcription]):
                 :whisper_model_size,
                 :hugging_face_model_id,
                 :word_level_timings,
-                :extract_speech
+                :extract_speech,
+                :name,
+                :notes
             )
             """
         )
@@ -95,6 +99,8 @@ class TranscriptionDAO(DAO[Transcription]):
             ":extract_speech",
             task.transcription_options.extract_speech
         )
+        query.bindValue(":name", None)  # name is not available in FileTranscriptionTask
+        query.bindValue(":notes", None)  # notes is not available in FileTranscriptionTask
         if not query.exec():
             raise Exception(query.lastError().text())
 
@@ -132,7 +138,9 @@ class TranscriptionDAO(DAO[Transcription]):
                 whisper_model_size,
                 hugging_face_model_id,
                 word_level_timings,
-                extract_speech
+                extract_speech,
+                name,
+                notes
             ) VALUES (
                 :id,
                 :export_formats,
@@ -148,7 +156,9 @@ class TranscriptionDAO(DAO[Transcription]):
                 :whisper_model_size,
                 :hugging_face_model_id,
                 :word_level_timings,
-                :extract_speech
+                :extract_speech,
+                :name,
+                :notes
             )
             """
         )
@@ -239,3 +249,72 @@ class TranscriptionDAO(DAO[Transcription]):
         query.bindValue(":time_ended", datetime.now().isoformat())
         if not query.exec():
             raise Exception(query.lastError().text())
+
+    def update_transcription_file_and_name(self, id: UUID, file_path: str, name: str | None = None):
+        query = self._create_query()
+        query.prepare(
+            """
+            UPDATE transcription
+            SET file = :file, name = COALESCE(:name, name)
+            WHERE id = :id
+        """
+        )
+
+        query.bindValue(":id", str(id))
+        query.bindValue(":file", file_path)
+        query.bindValue(":name", name)
+        if not query.exec():
+            raise Exception(query.lastError().text())
+
+    def update_transcription_name(self, id: UUID, name: str):
+        query = self._create_query()
+        query.prepare(
+            """
+            UPDATE transcription
+            SET name = :name
+            WHERE id = :id
+        """
+        )
+
+        query.bindValue(":id", str(id))
+        query.bindValue(":name", name)
+        if not query.exec():
+            raise Exception(query.lastError().text())
+        if query.numRowsAffected() == 0:
+            raise Exception("Transcription not found")
+
+    def update_transcription_notes(self, id: UUID, notes: str):
+        query = self._create_query()
+        query.prepare(
+            """
+            UPDATE transcription
+            SET notes = :notes
+            WHERE id = :id
+        """
+        )
+
+        query.bindValue(":id", str(id))
+        query.bindValue(":notes", notes)
+        if not query.exec():
+            raise Exception(query.lastError().text())
+        if query.numRowsAffected() == 0:
+            raise Exception("Transcription not found")
+
+    def reset_transcription_for_restart(self, id: UUID):
+        """Reset a transcription to queued status for restart"""
+        query = self._create_query()
+        query.prepare(
+            """
+            UPDATE transcription
+            SET status = :status, progress = :progress, time_started = NULL, time_ended = NULL, error_message = NULL
+            WHERE id = :id
+        """
+        )
+
+        query.bindValue(":id", str(id))
+        query.bindValue(":status", FileTranscriptionTask.Status.QUEUED.value)
+        query.bindValue(":progress", 0.0)
+        if not query.exec():
+            raise Exception(query.lastError().text())
+        if query.numRowsAffected() == 0:
+            raise Exception("Transcription not found")

buzz/db/db.py

@@ -41,3 +41,12 @@ def _setup_db(path: str) -> QSqlDatabase:
     db.exec('PRAGMA foreign_keys = ON')
     logging.debug("Database connection opened: %s", db.databaseName())
     return db
+
+
+def close_app_db():
+    db = QSqlDatabase.database()
+    if not db.isValid():
+        return
+
+    if db.isOpen():
+        db.close()

buzz/db/entity/transcription.py

@@ -30,6 +30,8 @@ class Transcription(Entity):
     output_folder: str | None = None
     source: str | None = None
     url: str | None = None
+    name: str | None = None
+    notes: str | None = None
 
     @property
     def id_as_uuid(self):

buzz/db/migrator.py

@@ -69,7 +69,8 @@ class DBMigrator:
             msg_argv += (args,)
         else:
             args = []
-        logging.info(msg_tmpl, *msg_argv)
+        # Uncomment this to get debugging information
+        # logging.info(msg_tmpl, *msg_argv)
         self.db.execute(sql, args)
         self.n_changes += 1
 

buzz/db/service/transcription_service.py

@@ -47,6 +47,18 @@ class TranscriptionService:
                 )
             )
 
+    def update_transcription_file_and_name(self, id: UUID, file_path: str, name: str | None = None):
+        self.transcription_dao.update_transcription_file_and_name(id, file_path, name)
+
+    def update_transcription_name(self, id: UUID, name: str):
+        self.transcription_dao.update_transcription_name(id, name)
+
+    def update_transcription_notes(self, id: UUID, notes: str):
+        self.transcription_dao.update_transcription_notes(id, notes)
+
+    def reset_transcription_for_restart(self, id: UUID):
+        self.transcription_dao.reset_transcription_for_restart(id)
+
     def replace_transcription_segments(self, id: UUID, segments: List[Segment]):
         self.transcription_segment_dao.delete_segments(id)
         for segment in segments:

buzz/file_transcriber_queue_worker.py

@@ -1,14 +1,59 @@
 import logging
 import multiprocessing
+import os
 import queue
+import ssl
+import sys
 from pathlib import Path
 from typing import Optional, Tuple, List, Set
 from uuid import UUID
 
-from PyQt6.QtCore import QObject, QThread, pyqtSignal, pyqtSlot
+# Fix SSL certificate verification for bundled applications (macOS, Windows)
+# This must be done before importing demucs which uses torch.hub with urllib
+try:
+    import certifi
+    os.environ.setdefault('REQUESTS_CA_BUNDLE', certifi.where())
+    os.environ.setdefault('SSL_CERT_FILE', certifi.where())
+    os.environ.setdefault('SSL_CERT_DIR', os.path.dirname(certifi.where()))
+    # Also update the default SSL context for urllib
+    ssl._create_default_https_context = lambda: ssl.create_default_context(cafile=certifi.where())
+except ImportError:
+    pass
+
+from PyQt6.QtCore import QObject, QThread, pyqtSignal, pyqtSlot, Qt
+
+# Patch subprocess for demucs to prevent console windows on Windows
+if sys.platform == "win32":
+    import subprocess
+    _original_run = subprocess.run
+    _original_check_output = subprocess.check_output
+
+    def _patched_run(*args, **kwargs):
+        if 'startupinfo' not in kwargs:
+            si = subprocess.STARTUPINFO()
+            si.dwFlags |= subprocess.STARTF_USESHOWWINDOW
+            si.wShowWindow = subprocess.SW_HIDE
+            kwargs['startupinfo'] = si
+        if 'creationflags' not in kwargs:
+            kwargs['creationflags'] = subprocess.CREATE_NO_WINDOW
+        return _original_run(*args, **kwargs)
+
+    def _patched_check_output(*args, **kwargs):
+        if 'startupinfo' not in kwargs:
+            si = subprocess.STARTUPINFO()
+            si.dwFlags |= subprocess.STARTF_USESHOWWINDOW
+            si.wShowWindow = subprocess.SW_HIDE
+            kwargs['startupinfo'] = si
+        if 'creationflags' not in kwargs:
+            kwargs['creationflags'] = subprocess.CREATE_NO_WINDOW
+        return _original_check_output(*args, **kwargs)
+
+    subprocess.run = _patched_run
+    subprocess.check_output = _patched_check_output
 
 from demucs import api as demucsApi
 
+from buzz.locale import _
 from buzz.model_loader import ModelType
 from buzz.transcriber.file_transcriber import FileTranscriber
 from buzz.transcriber.openai_whisper_api_file_transcriber import (
@@ -31,20 +76,30 @@ class FileTranscriberQueueWorker(QObject):
     task_error = pyqtSignal(FileTranscriptionTask, str)
 
     completed = pyqtSignal()
+    trigger_run = pyqtSignal()
 
     def __init__(self, parent: Optional[QObject] = None):
         super().__init__(parent)
         self.tasks_queue = queue.Queue()
         self.canceled_tasks: Set[UUID] = set()
         self.current_transcriber = None
+        self.speech_path = None
+        self.is_running = False
+        # Use QueuedConnection to ensure run() is called in the correct thread context
+        # and doesn't block signal handlers
+        self.trigger_run.connect(self.run, Qt.ConnectionType.QueuedConnection)
 
     @pyqtSlot()
     def run(self):
+        if self.is_running:
+            return
+
         logging.debug("Waiting for next transcription task")
 
         # Clean up of previous run.
         if self.current_transcriber is not None:
             self.current_transcriber.stop()
+            self.current_transcriber = None
 
         # Get next non-canceled task from queue
         while True:
@@ -52,6 +107,7 @@ class FileTranscriberQueueWorker(QObject):
 
             # Stop listening when a "None" task is received
             if self.current_task is None:
+                self.is_running = False
                 self.completed.emit()
                 return
 
@@ -60,29 +116,57 @@ class FileTranscriberQueueWorker(QObject):
 
             break
 
+        # Set is_running AFTER we have a valid task to process
+        self.is_running = True
+
         if self.current_task.transcription_options.extract_speech:
             logging.debug("Will extract speech")
 
             def separator_progress_callback(progress):
                 self.task_progress.emit(self.current_task, int(progress["segment_offset"] * 100) / int(progress["audio_length"] * 100))
 
+            separator = None
+            separated = None
             try:
-                # This will fail on Windows 10 and Mac with SSL cert error
+                # Force CPU if specified, otherwise use CUDA if available
+                force_cpu = os.getenv("BUZZ_FORCE_CPU", "false").lower() == "true"
+                if force_cpu:
+                    device = "cpu"
+                else:
+                    import torch
+                    device = "cuda" if torch.cuda.is_available() else "cpu"
                 separator = demucsApi.Separator(
+                    device=device,
                     progress=True,
                     callback=separator_progress_callback,
                 )
-                _, separated = separator.separate_audio_file(Path(self.current_task.file_path))
+                _origin, separated = separator.separate_audio_file(Path(self.current_task.file_path))
 
                 task_file_path = Path(self.current_task.file_path)
-                speech_path = task_file_path.with_name(f"{task_file_path.stem}_speech.mp3")
-                demucsApi.save_audio(separated["vocals"], speech_path, separator.samplerate)
+                self.speech_path = task_file_path.with_name(f"{task_file_path.stem}_speech.mp3")
+                demucsApi.save_audio(separated["vocals"], self.speech_path, separator.samplerate)
 
-                self.current_task.file_path = str(speech_path)
+                self.current_task.file_path = str(self.speech_path)
             except Exception as e:
                 logging.error(f"Error during speech extraction: {e}", exc_info=True)
+                self.task_error.emit(
+                    self.current_task,
+                    _("Speech extraction failed! Check your internet connection — a model may need to be downloaded."),
+                )
+                self.is_running = False
+                return
+            finally:
+                # Release memory used by speech extractor
+                del separator, separated
+                try:
+                    import torch
+                    if torch.cuda.is_available():
+                        torch.cuda.empty_cache()
+                except Exception:
+                    pass
 
         logging.debug("Starting next transcription task")
+        self.task_progress.emit(self.current_task, 0)
 
         model_type = self.current_task.transcription_options.model.model_type
         if model_type == ModelType.OPEN_AI_WHISPER_API:
@@ -122,14 +206,28 @@ class FileTranscriberQueueWorker(QObject):
         self.current_transcriber.completed.connect(self.on_task_completed)
 
         # Wait for next item on the queue
-        self.current_transcriber.error.connect(self.run)
-        self.current_transcriber.completed.connect(self.run)
+        self.current_transcriber.error.connect(lambda: self._on_task_finished())
+        self.current_transcriber.completed.connect(lambda: self._on_task_finished())
 
         self.task_started.emit(self.current_task)
         self.current_transcriber_thread.start()
 
+    def _on_task_finished(self):
+        """Called when a task completes or errors, resets state and triggers next run"""
+        self.is_running = False
+        # Use signal to avoid blocking in signal handler context
+        self.trigger_run.emit()
+
     def add_task(self, task: FileTranscriptionTask):
+        # Remove from canceled tasks if it was previously canceled (for restart functionality)
+        if task.uid in self.canceled_tasks:
+            self.canceled_tasks.remove(task.uid)
+
         self.tasks_queue.put(task)
+        # If the worker is not currently running, trigger it to start processing
+        # Use signal to avoid blocking the main thread
+        if not self.is_running:
+            self.trigger_run.emit()
 
     def cancel_task(self, task_id: UUID):
         self.canceled_tasks.add(task_id)
@@ -139,7 +237,7 @@ class FileTranscriberQueueWorker(QObject):
                 self.current_transcriber.stop()
                 
             if self.current_transcriber_thread is not None:
-                if not self.current_transcriber_thread.wait(3000):
+                if not self.current_transcriber_thread.wait(5000):
                     logging.warning("Transcriber thread did not terminate gracefully")
                     self.current_transcriber_thread.terminate()
 
@@ -148,8 +246,13 @@ class FileTranscriberQueueWorker(QObject):
             self.current_task is not None
             and self.current_task.uid not in self.canceled_tasks
         ):
-            self.current_task.status = FileTranscriptionTask.Status.FAILED
-            self.current_task.error = error
+            # Check if the error indicates cancellation
+            if "canceled" in error.lower() or "cancelled" in error.lower():
+                self.current_task.status = FileTranscriptionTask.Status.CANCELED
+                self.current_task.error = error
+            else:
+                self.current_task.status = FileTranscriptionTask.Status.FAILED
+                self.current_task.error = error
             self.task_error.emit(self.current_task, error)
 
     @pyqtSlot(tuple)
@@ -166,6 +269,13 @@ class FileTranscriberQueueWorker(QObject):
         if self.current_task is not None:
             self.task_completed.emit(self.current_task, segments)
 
+        if self.speech_path is not None:
+            try:
+                Path(self.speech_path).unlink()
+            except Exception:
+                pass
+            self.speech_path = None
+
     def stop(self):
         self.tasks_queue.put(None)
         if self.current_transcriber is not None:

buzz/model_loader.py

@@ -7,8 +7,23 @@ import threading
 import shutil
 import subprocess
 import sys
+import ssl
 import warnings
 import platform
+
+# Fix SSL certificate verification for bundled applications (macOS, Windows).
+# This must be done before importing libraries that make HTTPS requests.
+try:
+    import certifi
+    _certifi_ca_bundle = certifi.where()
+    os.environ.setdefault("REQUESTS_CA_BUNDLE", _certifi_ca_bundle)
+    os.environ.setdefault("SSL_CERT_FILE", _certifi_ca_bundle)
+    os.environ.setdefault("SSL_CERT_DIR", os.path.dirname(_certifi_ca_bundle))
+    # Also update the default SSL context for urllib
+    ssl._create_default_https_context = lambda: ssl.create_default_context(cafile=_certifi_ca_bundle)
+except ImportError:
+    _certifi_ca_bundle = None
+
 import requests
 import whisper
 import huggingface_hub
@@ -22,6 +37,68 @@ from huggingface_hub.errors import LocalEntryNotFoundError
 
 from buzz.locale import _
 
+# Configure huggingface_hub to use certifi certificates directly.
+# This is more reliable than environment variables for frozen apps.
+if _certifi_ca_bundle is not None:
+    try:
+        from huggingface_hub import configure_http_backend
+
+        def _hf_session_factory() -> requests.Session:
+            session = requests.Session()
+            session.verify = _certifi_ca_bundle
+            return session
+
+        configure_http_backend(backend_factory=_hf_session_factory)
+    except ImportError:
+        # configure_http_backend not available in older huggingface_hub versions
+        pass
+    except Exception as e:
+        logging.debug(f"Failed to configure huggingface_hub HTTP backend: {e}")
+
+# On Windows, creating symlinks requires special privileges (Developer Mode or
+# SeCreateSymbolicLinkPrivilege). Monkey-patch huggingface_hub to use file
+# copying instead of symlinks to avoid [WinError 1314] errors.
+if sys.platform == "win32":
+    try:
+        from huggingface_hub import file_download
+        from pathlib import Path
+
+        _original_create_symlink = file_download._create_symlink
+
+        def _windows_create_symlink(src: Path, dst: Path, new_blob: bool = False) -> None:
+            """Windows-compatible replacement that copies instead of symlinking."""
+            src = Path(src)
+            dst = Path(dst)
+
+            # If dst already exists and is correct, skip
+            if dst.exists():
+                if dst.is_symlink():
+                    # Existing symlink - leave it
+                    return
+                if dst.is_file():
+                    # Check if it's the same file
+                    if dst.stat().st_size == src.stat().st_size:
+                        return
+
+            dst.parent.mkdir(parents=True, exist_ok=True)
+
+            # Try symlink first (works if Developer Mode is enabled)
+            try:
+                dst.unlink(missing_ok=True)
+                os.symlink(src, dst)
+                return
+            except OSError:
+                pass
+
+            # Fallback: copy the file instead
+            dst.unlink(missing_ok=True)
+            shutil.copy2(src, dst)
+
+        file_download._create_symlink = _windows_create_symlink
+        logging.debug("Patched huggingface_hub to use file copying on Windows")
+    except Exception as e:
+        logging.warning(f"Failed to patch huggingface_hub for Windows: {e}")
+
 
 model_root_dir = user_cache_dir("Buzz")
 model_root_dir = os.path.join(model_root_dir, "models")
@@ -30,7 +107,6 @@ os.makedirs(model_root_dir, exist_ok=True)
 
 logging.debug("Model root directory: %s", model_root_dir)
 
-
 class WhisperModelSize(str, enum.Enum):
     TINY = "tiny"
     TINYEN = "tiny.en"
@@ -60,6 +136,25 @@ class WhisperModelSize(str, enum.Enum):
     def __str__(self):
         return self.value.capitalize()
 
+# Approximate expected file sizes for Whisper models (based on actual .pt file sizes)
+WHISPER_MODEL_SIZES = {
+    WhisperModelSize.TINY: 72 * 1024 * 1024,           # ~73 MB actual
+    WhisperModelSize.TINYEN: 72 * 1024 * 1024,         # ~73 MB actual
+    WhisperModelSize.BASE: 138 * 1024 * 1024,          # ~139 MB actual
+    WhisperModelSize.BASEEN: 138 * 1024 * 1024,        # ~139 MB actual
+    WhisperModelSize.SMALL: 460 * 1024 * 1024,         # ~462 MB actual
+    WhisperModelSize.SMALLEN: 460 * 1024 * 1024,       # ~462 MB actual
+    WhisperModelSize.MEDIUM: 1500 * 1024 * 1024,       # ~1.5 GB actual
+    WhisperModelSize.MEDIUMEN: 1500 * 1024 * 1024,     # ~1.5 GB actual
+    WhisperModelSize.LARGE: 2870 * 1024 * 1024,        # ~2.9 GB actual
+    WhisperModelSize.LARGEV2: 2870 * 1024 * 1024,      # ~2.9 GB actual
+    WhisperModelSize.LARGEV3: 2870 * 1024 * 1024,      # ~2.9 GB actual
+    WhisperModelSize.LARGEV3TURBO: 1550 * 1024 * 1024, # ~1.6 GB actual (turbo is smaller)
+}
+
+def get_expected_whisper_model_size(size: WhisperModelSize) -> Optional[int]:
+    """Get expected file size for a Whisper model without network request."""
+    return WHISPER_MODEL_SIZES.get(size, None)
 
 class ModelType(enum.Enum):
     WHISPER = "Whisper"
@@ -113,6 +208,80 @@ HUGGING_FACE_MODEL_ALLOW_PATTERNS = [
     "vocab.json",
 ]
 
+# MMS models use different patterns - adapters are downloaded on-demand by transformers
+MMS_MODEL_ALLOW_PATTERNS = [
+    "model.safetensors",
+    "pytorch_model.bin",
+    "config.json",
+    "preprocessor_config.json",
+    "tokenizer_config.json",
+    "vocab.json",
+    "special_tokens_map.json",
+    "added_tokens.json",
+]
+
+# ISO 639-1 to ISO 639-3 language code mapping for MMS models
+ISO_639_1_TO_3 = {
+    "en": "eng", "fr": "fra", "de": "deu", "es": "spa", "it": "ita",
+    "pt": "por", "ru": "rus", "ja": "jpn", "ko": "kor", "zh": "cmn",
+    "ar": "ara", "hi": "hin", "nl": "nld", "pl": "pol", "sv": "swe",
+    "tr": "tur", "uk": "ukr", "vi": "vie", "cs": "ces", "da": "dan",
+    "fi": "fin", "el": "ell", "he": "heb", "hu": "hun", "id": "ind",
+    "ms": "zsm", "no": "nob", "ro": "ron", "sk": "slk", "th": "tha",
+    "bg": "bul", "ca": "cat", "hr": "hrv", "lt": "lit", "lv": "lav",
+    "sl": "slv", "et": "est", "sr": "srp", "tl": "tgl", "bn": "ben",
+    "ta": "tam", "te": "tel", "mr": "mar", "gu": "guj", "kn": "kan",
+    "ml": "mal", "pa": "pan", "ur": "urd", "fa": "pes", "sw": "swh",
+    "af": "afr", "az": "azj", "be": "bel", "bs": "bos", "cy": "cym",
+    "eo": "epo", "eu": "eus", "ga": "gle", "gl": "glg", "hy": "hye",
+    "is": "isl", "ka": "kat", "kk": "kaz", "km": "khm", "lo": "lao",
+    "mk": "mkd", "mn": "khk", "my": "mya", "ne": "npi", "si": "sin",
+    "sq": "sqi", "uz": "uzn", "zu": "zul", "am": "amh", "jw": "jav",
+    "la": "lat", "so": "som", "su": "sun", "tt": "tat", "yo": "yor",
+}
+
+
+def map_language_to_mms(language_code: str) -> str:
+    """Convert ISO 639-1 code to ISO 639-3 code for MMS models.
+
+    If the code is already 3 letters, returns it as-is.
+    If the code is not found in the mapping, returns as-is.
+    """
+    if not language_code:
+        return "eng"  # Default to English for MMS
+    if len(language_code) == 3:
+        return language_code  # Already ISO 639-3
+    return ISO_639_1_TO_3.get(language_code, language_code)
+
+
+def is_mms_model(model_id: str) -> bool:
+    """Detect if a HuggingFace model is an MMS (Massively Multilingual Speech) model.
+
+    Detection criteria:
+    1. Model ID contains "mms-" (e.g., facebook/mms-1b-all)
+    2. Model config has model_type == "wav2vec2" with adapter architecture
+    """
+    if not model_id:
+        return False
+
+    # Fast check: model ID pattern
+    if "mms-" in model_id.lower():
+        return True
+
+    # For cached/downloaded models, check config.json
+    try:
+        import json
+        config_path = huggingface_hub.hf_hub_download(
+            model_id, "config.json", local_files_only=True, cache_dir=model_root_dir
+        )
+        with open(config_path) as f:
+            config = json.load(f)
+        # MMS models have model_type "wav2vec2" and use adapter architecture
+        return (config.get("model_type") == "wav2vec2"
+                and config.get("adapter_attn_dim") is not None)
+    except Exception:
+        return False
+
 
 @dataclass()
 class TranscriptionModel:
@@ -177,8 +346,10 @@ class TranscriptionModel:
     def delete_local_file(self):
         model_path = self.get_local_model_path()
 
-        if (self.model_type == ModelType.HUGGING_FACE
-                or self.model_type == ModelType.FASTER_WHISPER):
+        if self.model_type in (ModelType.HUGGING_FACE,
+                               ModelType.FASTER_WHISPER):
+            # Go up two directories to get the huggingface cache root for this model
+            # Structure: models--repo--name/snapshots/xxx/files
             model_path = os.path.dirname(os.path.dirname(model_path))
 
             logging.debug("Deleting model directory: %s", model_path)
@@ -186,6 +357,32 @@ class TranscriptionModel:
             shutil.rmtree(model_path, ignore_errors=True)
             return
 
+        if self.model_type == ModelType.WHISPER_CPP:
+            if self.whisper_model_size == WhisperModelSize.CUSTOM:
+                # Custom models are stored as a single .bin file directly in model_root_dir
+                logging.debug("Deleting model file: %s", model_path)
+                os.remove(model_path)
+            else:
+                # Non-custom models are downloaded via huggingface_hub.
+                # Multiple models share the same repo directory, so we only delete
+                # the specific model files, not the entire directory.
+                logging.debug("Deleting model file: %s", model_path)
+                os.remove(model_path)
+
+                # Also delete CoreML files if they exist (.mlmodelc.zip and extracted directory)
+                model_dir = os.path.dirname(model_path)
+                model_name = self.whisper_model_size.to_whisper_cpp_model_size()
+                coreml_zip = os.path.join(model_dir, f"ggml-{model_name}-encoder.mlmodelc.zip")
+                coreml_dir = os.path.join(model_dir, f"ggml-{model_name}-encoder.mlmodelc")
+
+                if os.path.exists(coreml_zip):
+                    logging.debug("Deleting CoreML zip: %s", coreml_zip)
+                    os.remove(coreml_zip)
+                if os.path.exists(coreml_dir):
+                    logging.debug("Deleting CoreML directory: %s", coreml_dir)
+                    shutil.rmtree(coreml_dir, ignore_errors=True)
+            return
+
         logging.debug("Deleting model file: %s", model_path)
         os.remove(model_path)
 
@@ -200,7 +397,21 @@ class TranscriptionModel:
             file_path = get_whisper_file_path(size=self.whisper_model_size)
             if not os.path.exists(file_path) or not os.path.isfile(file_path):
                 return None
-            return file_path
+            
+            file_size = os.path.getsize(file_path)
+
+            expected_size = get_expected_whisper_model_size(self.whisper_model_size)
+
+            if expected_size is not None:
+                if file_size < expected_size * 0.95: # Allow 5% tolerance for file system differences
+                    return None
+                return file_path
+            else: 
+                # For unknown model size            
+                if file_size < 50 * 1024 * 1024:
+                    return None
+                
+                return file_path                
 
         if self.model_type == ModelType.FASTER_WHISPER:
             try:
@@ -244,7 +455,7 @@ def get_whisper_cpp_file_path(size: WhisperModelSize) -> str:
     model_filename = f"ggml-{size.to_whisper_cpp_model_size()}.bin"
 
     try:
-        model_path =  huggingface_hub.snapshot_download(
+        model_path = huggingface_hub.snapshot_download(
             repo_id=repo_id,
             allow_patterns=[model_filename],
             local_files_only=True,
@@ -271,7 +482,8 @@ class HuggingfaceDownloadMonitor:
     def __init__(self, model_root: str, progress: pyqtSignal(tuple), total_file_size: int):
         self.model_root = model_root
         self.progress = progress
-        self.total_file_size = round(total_file_size * 1.1)  # To keep dialog open even if it reports 100%
+        # To keep dialog open even if it reports 100%
+        self.total_file_size = round(total_file_size * 1.1)
         self.incomplete_download_root = None
         self.stop_event = threading.Event()
         self.monitor_thread = None
@@ -279,8 +491,10 @@ class HuggingfaceDownloadMonitor:
 
     def set_download_roots(self):
         normalized_model_root = os.path.normpath(self.model_root)
-        two_dirs_up = os.path.normpath(os.path.join(normalized_model_root, "..", ".."))
-        self.incomplete_download_root = os.path.normpath(os.path.join(two_dirs_up, "blobs"))
+        two_dirs_up = os.path.normpath(
+            os.path.join(normalized_model_root, "..", ".."))
+        self.incomplete_download_root = os.path.normpath(
+            os.path.join(two_dirs_up, "blobs"))
 
     def clean_tmp_files(self):
         for filename in os.listdir(model_root_dir):
@@ -289,16 +503,28 @@ class HuggingfaceDownloadMonitor:
 
     def monitor_file_size(self):
         while not self.stop_event.is_set():
-            if model_root_dir is not None:
-                for filename in os.listdir(model_root_dir):
-                    if filename.startswith("tmp"):
-                        file_size = os.path.getsize(os.path.join(model_root_dir, filename))
-                        self.progress.emit((file_size, self.total_file_size))
+            try:
+                if model_root_dir is not None and os.path.isdir(model_root_dir):
+                    for filename in os.listdir(model_root_dir):
+                        if filename.startswith("tmp"):
+                            try:
+                                file_size = os.path.getsize(
+                                    os.path.join(model_root_dir, filename))
+                                self.progress.emit((file_size, self.total_file_size))
+                            except OSError:
+                                pass  # File may have been deleted
 
-            for filename in os.listdir(self.incomplete_download_root):
-                if filename.endswith(".incomplete"):
-                    file_size = os.path.getsize(os.path.join(self.incomplete_download_root, filename))
-                    self.progress.emit((file_size, self.total_file_size))
+                if self.incomplete_download_root and os.path.isdir(self.incomplete_download_root):
+                    for filename in os.listdir(self.incomplete_download_root):
+                        if filename.endswith(".incomplete"):
+                            try:
+                                file_size = os.path.getsize(os.path.join(
+                                    self.incomplete_download_root, filename))
+                                self.progress.emit((file_size, self.total_file_size))
+                            except OSError:
+                                pass  # File may have been deleted
+            except OSError:
+                pass  # Directory listing failed, ignore
 
             time.sleep(2)
 
@@ -332,7 +558,8 @@ def download_from_huggingface(
     try:
         model_root = huggingface_hub.snapshot_download(
             repo_id,
-            allow_patterns=allow_patterns[num_large_files:],  # all, but largest
+            # all, but largest
+            allow_patterns=allow_patterns[num_large_files:],
             cache_dir=model_root_dir,
             etag_timeout=60
         )
@@ -354,7 +581,8 @@ def download_from_huggingface(
         except requests.exceptions.RequestException as e:
             continue
 
-    model_download_monitor = HuggingfaceDownloadMonitor(model_root, progress, largest_file_size)
+    model_download_monitor = HuggingfaceDownloadMonitor(
+        model_root, progress, largest_file_size)
     model_download_monitor.start_monitoring()
 
     try:
@@ -367,9 +595,7 @@ def download_from_huggingface(
     except Exception as exc:
         logging.exception(exc)
         model_download_monitor.stop_monitoring()
-        # Cleanup to prevent incomplete downloads errors
-        if os.path.exists(model_root):
-            shutil.rmtree(model_root)
+
         return ""
 
     model_download_monitor.stop_monitoring()
@@ -429,19 +655,22 @@ class ModelDownloader(QRunnable):
     def __init__(self, model: TranscriptionModel, custom_model_url: Optional[str] = None):
         super().__init__()
 
-        self.is_coreml_supported = platform.system() == "Darwin" and platform.machine() == "arm64"
+        self.is_coreml_supported = platform.system(
+        ) == "Darwin" and platform.machine() == "arm64"
         self.signals = self.Signals()
         self.model = model
         self.stopped = False
         self.custom_model_url = custom_model_url
 
     def run(self) -> None:
-        logging.debug("Downloading model: %s, %s", self.model, self.model.hugging_face_model_id)
+        logging.debug("Downloading model: %s, %s", self.model,
+                      self.model.hugging_face_model_id)
 
         if self.model.model_type == ModelType.WHISPER_CPP:
             if self.custom_model_url:
                 url = self.custom_model_url
-                file_path = get_whisper_cpp_file_path(size=self.model.whisper_model_size)
+                file_path = get_whisper_cpp_file_path(
+                    size=self.model.whisper_model_size)
                 return self.download_model_to_path(url=url, file_path=file_path)
 
             repo_id = WHISPER_CPP_REPO_ID
@@ -458,9 +687,9 @@ class ModelDownloader(QRunnable):
             num_large_files = 1
             if self.is_coreml_supported:
                 whisper_cpp_model_files = [
-                        f"ggml-{model_name}.bin",
-                        f"ggml-{model_name}-encoder.mlmodelc.zip",
-                        "README.md"
+                    f"ggml-{model_name}.bin",
+                    f"ggml-{model_name}-encoder.mlmodelc.zip",
+                    "README.md"
                 ]
                 num_large_files = 2
 
@@ -472,16 +701,50 @@ class ModelDownloader(QRunnable):
             )
 
             if self.is_coreml_supported:
-                with zipfile.ZipFile(
-                        os.path.join(model_path, f"ggml-{model_name}-encoder.mlmodelc.zip"), 'r') as zip_ref:
-                    zip_ref.extractall(model_path)
+                import tempfile
 
-            self.signals.finished.emit(os.path.join(model_path, f"ggml-{model_name}.bin"))
+                target_dir = os.path.join(model_path, f"ggml-{model_name}-encoder.mlmodelc")
+                zip_path = os.path.join(model_path, f"ggml-{model_name}-encoder.mlmodelc.zip")
+
+                # Remove target directory if it exists
+                if os.path.exists(target_dir):
+                    shutil.rmtree(target_dir)
+
+                # Extract to a temporary directory first
+                with tempfile.TemporaryDirectory() as temp_dir:
+                    with zipfile.ZipFile(zip_path, 'r') as zip_ref:
+                        zip_ref.extractall(temp_dir)
+
+                    # Remove __MACOSX metadata folders if present
+                    macosx_path = os.path.join(temp_dir, "__MACOSX")
+                    if os.path.exists(macosx_path):
+                        shutil.rmtree(macosx_path)
+
+                    # Check if there's a single top-level directory
+                    temp_contents = os.listdir(temp_dir)
+                    if len(temp_contents) == 1 and os.path.isdir(os.path.join(temp_dir, temp_contents[0])):
+                        # Single directory - move its contents to target
+                        nested_dir = os.path.join(temp_dir, temp_contents[0])
+                        shutil.move(nested_dir, target_dir)
+                    else:
+                        # Multiple items or files - copy everything to target
+                        os.makedirs(target_dir, exist_ok=True)
+                        for item in temp_contents:
+                            src = os.path.join(temp_dir, item)
+                            dst = os.path.join(target_dir, item)
+                            if os.path.isdir(src):
+                                shutil.copytree(src, dst)
+                            else:
+                                shutil.copy2(src, dst)
+
+            self.signals.finished.emit(os.path.join(
+                model_path, f"ggml-{model_name}.bin"))
             return
 
         if self.model.model_type == ModelType.WHISPER:
             url = whisper._MODELS[self.model.whisper_model_size.value]
-            file_path = get_whisper_file_path(size=self.model.whisper_model_size)
+            file_path = get_whisper_file_path(
+                size=self.model.whisper_model_size)
             expected_sha256 = url.split("/")[-2]
             return self.download_model_to_path(
                 url=url, file_path=file_path, expected_sha256=expected_sha256
@@ -526,16 +789,18 @@ class ModelDownloader(QRunnable):
             downloaded = self.download_model(url, file_path, expected_sha256)
             if downloaded:
                 self.signals.finished.emit(file_path)
-        except requests.RequestException:
+        except requests.RequestException as e:
             self.signals.error.emit(_("A connection error occurred"))
-            if os.path.exists(file_path):
-                os.remove(file_path)
+            if not self.stopped and "timeout" not in str(e).lower():
+                if os.path.exists(file_path):
+                    os.remove(file_path)
             logging.exception("")
         except Exception as exc:
             self.signals.error.emit(str(exc))
-            if os.path.exists(file_path):
-                os.remove(file_path)
-            logging.exception(exc)
+            if not self.stopped:
+                if os.path.exists(file_path):
+                    os.remove(file_path)
+                logging.exception(exc)
 
     def download_model(
         self, url: str, file_path: str, expected_sha256: Optional[str]
@@ -547,38 +812,190 @@ class ModelDownloader(QRunnable):
         if os.path.exists(file_path) and not os.path.isfile(file_path):
             raise RuntimeError(f"{file_path} exists and is not a regular file")
 
-        if os.path.isfile(file_path):
-            if expected_sha256 is None:
-                return True
+        resume_from = 0
+        file_mode = "wb"
 
-            model_bytes = open(file_path, "rb").read()
-            model_sha256 = hashlib.sha256(model_bytes).hexdigest()
-            if model_sha256 == expected_sha256:
-                return True
+        if os.path.isfile(file_path):
+            file_size = os.path.getsize(file_path)
+
+            if expected_sha256 is not None:
+                # Get the expected file size from URL
+                try:
+                    head_response = requests.head(url, timeout=5, allow_redirects=True)
+                    expected_size = int(head_response.headers.get("Content-Length", 0))
+
+                    if expected_size > 0:
+                        if file_size < expected_size:
+                            resume_from = file_size
+                            file_mode = "ab"
+                            logging.debug(
+                                f"File incomplete ({file_size}/{expected_size} bytes), resuming from byte {resume_from}"
+                            )
+                        elif file_size == expected_size:
+                            # This means file size matches - verify SHA256 to confirm it is complete
+                            try:
+                                # Use chunked reading to avoid loading entire file into memory
+                                sha256_hash = hashlib.sha256()
+                                with open(file_path, "rb") as f:
+                                    for chunk in iter(lambda: f.read(8192), b""):
+                                        sha256_hash.update(chunk)
+                                model_sha256 = sha256_hash.hexdigest()
+                                if model_sha256 == expected_sha256:
+                                    logging.debug("Model already downloaded and verified")
+                                    return True
+                                else:
+                                    warnings.warn(
+                                        f"{file_path} exists, but the SHA256 checksum does not match; re-downloading the file"
+                                    )
+                                    # File exists but it is wrong, delete it
+                                    os.remove(file_path)
+                            except Exception as e:
+                                logging.warning(f"Error checking existing file: {e}")
+                                os.remove(file_path)
+                        else:
+                            # File is larger than expected - corrupted, delete it
+                            warnings.warn(f"File size ({file_size}) exceeds expected size ({expected_size}), re-downloading")
+                            os.remove(file_path)                        
+                    else:
+                        # Can't get expected size - use threshold approach
+                        if file_size < 10 * 1024 * 1024:
+                            resume_from = file_size
+                            file_mode = "ab"  # Append mode to resume
+                            logging.debug(f"Resuming download from byte {resume_from}")
+                        else:
+                            # Large file - verify SHA256 using chunked reading
+                            try:
+                                sha256_hash = hashlib.sha256()
+                                with open(file_path, "rb") as f:
+                                    for chunk in iter(lambda: f.read(8192), b""):
+                                        sha256_hash.update(chunk)
+                                model_sha256 = sha256_hash.hexdigest()
+                                if model_sha256 == expected_sha256:
+                                    logging.debug("Model already downloaded and verified")
+                                    return True
+                                else:
+                                    warnings.warn("SHA256 mismatch, re-downloading")
+                                    os.remove(file_path)
+                            except Exception as e:
+                                logging.warning(f"Error verifying file: {e}")
+                                os.remove(file_path)
+
+                except Exception as e:
+                    # Can't get expected size - use threshold
+                    logging.debug(f"Could not get expected file size: {e}, using threshold")
+                    if file_size < 10 * 1024 * 1024:
+                        resume_from = file_size
+                        file_mode = "ab"
+                        logging.debug(f"Resuming from byte {resume_from}")
             else:
-                warnings.warn(
-                    f"{file_path} exists, but the SHA256 checksum does not match; re-downloading the file"
-                )
+                # No SHA256 to verify - just check file size
+                if file_size > 0:
+                    resume_from = file_size
+                    file_mode = "ab"
+                    logging.debug(f"Resuming download from byte {resume_from}")
 
         # Downloads the model using the requests module instead of urllib to
         # use the certs from certifi when the app is running in frozen mode
-        with requests.get(url, stream=True, timeout=15) as source, open(
-            file_path, "wb"
-        ) as output:
-            source.raise_for_status()
-            total_size = float(source.headers.get("Content-Length", 0))
-            current = 0.0
-            self.signals.progress.emit((current, total_size))
-            for chunk in source.iter_content(chunk_size=8192):
-                if self.stopped:
-                    return False
-                output.write(chunk)
-                current += len(chunk)
+
+        # Check if server supports Range requests before starting download
+        supports_range = False
+        if resume_from > 0:
+            try:
+                head_resp = requests.head(url, timeout=10, allow_redirects=True)
+                accept_ranges = head_resp.headers.get("Accept-Ranges", "").lower()
+                supports_range = accept_ranges == "bytes"
+                if not supports_range:
+                    logging.debug("Server doesn't support Range requests, starting from beginning")
+                    resume_from = 0
+                    file_mode = "wb"
+            except requests.RequestException as e:
+                logging.debug(f"HEAD request failed, starting fresh: {e}")
+                resume_from = 0
+                file_mode = "wb"
+
+        headers = {}
+        if resume_from > 0 and supports_range:
+            headers["Range"] = f"bytes={resume_from}-"
+
+        # Use a temporary file for fresh downloads to ensure atomic writes
+        temp_file_path = None
+        if resume_from == 0:
+            temp_file_path = file_path + ".downloading"
+            # Clean up any existing temp file
+            if os.path.exists(temp_file_path):
+                try:
+                    os.remove(temp_file_path)
+                except OSError:
+                    pass
+            download_path = temp_file_path
+        else:
+            download_path = file_path
+
+        try:
+            with requests.get(url, stream=True, timeout=30, headers=headers) as source:
+                source.raise_for_status()
+
+                if resume_from > 0:
+                    if source.status_code == 206:
+                        logging.debug(
+                            f"Server supports resume, continuing from byte {resume_from}")
+                        content_range = source.headers.get("Content-Range", "")
+                        if "/" in content_range:
+                            total_size = int(content_range.split("/")[-1])
+                        else:
+                            total_size = resume_from + int(source.headers.get("Content-Length", 0))
+                        current = resume_from
+                    else:
+                        # Server returned 200 instead of 206, need to start over
+                        logging.debug("Server returned 200 instead of 206, starting fresh")
+                        resume_from = 0
+                        file_mode = "wb"
+                        temp_file_path = file_path + ".downloading"
+                        download_path = temp_file_path
+                        total_size = float(source.headers.get("Content-Length", 0))
+                        current = 0.0
+                else:
+                    total_size = float(source.headers.get("Content-Length", 0))
+                    current = 0.0
+
                 self.signals.progress.emit((current, total_size))
 
+                with open(download_path, file_mode) as output:
+                    for chunk in source.iter_content(chunk_size=8192):
+                        if self.stopped:
+                            return False
+                        output.write(chunk)
+                        current += len(chunk)
+                        self.signals.progress.emit((current, total_size))
+
+            # If we used a temp file, rename it to the final path
+            if temp_file_path and os.path.exists(temp_file_path):
+                # Remove existing file if present
+                if os.path.exists(file_path):
+                    os.remove(file_path)
+                shutil.move(temp_file_path, file_path)
+
+        except Exception:
+            # Clean up temp file on error
+            if temp_file_path and os.path.exists(temp_file_path):
+                try:
+                    os.remove(temp_file_path)
+                except OSError:
+                    pass
+            raise
+
         if expected_sha256 is not None:
-            model_bytes = open(file_path, "rb").read()
-            if hashlib.sha256(model_bytes).hexdigest() != expected_sha256:
+            # Use chunked reading to avoid loading entire file into memory
+            sha256_hash = hashlib.sha256()
+            with open(file_path, "rb") as f:
+                for chunk in iter(lambda: f.read(8192), b""):
+                    sha256_hash.update(chunk)
+            if sha256_hash.hexdigest() != expected_sha256:
+                # Delete the corrupted file before raising the error
+                try:
+                    os.remove(file_path)
+                except OSError as e:
+                    logging.warning(f"Failed to delete corrupted model file: {e}")
                 raise RuntimeError(
                     "Model has been downloaded but the SHA256 checksum does not match. Please retry loading the "
                     "model."
@@ -590,10 +1007,3 @@ class ModelDownloader(QRunnable):
 
     def cancel(self):
         self.stopped = True
-
-
-def get_custom_api_whisper_model(base_url: str):
-    if "api.groq.com" in base_url:
-        return "whisper-large-v3"
-
-    return "whisper-1"

buzz/recording.py

@@ -9,6 +9,9 @@ from PyQt6.QtCore import QObject, pyqtSignal
 class RecordingAmplitudeListener(QObject):
     stream: Optional[sounddevice.InputStream] = None
     amplitude_changed = pyqtSignal(float)
+    average_amplitude_changed = pyqtSignal(float)
+
+    ACCUMULATION_SECONDS = 1
 
     def __init__(
         self,
@@ -17,6 +20,9 @@ class RecordingAmplitudeListener(QObject):
     ):
         super().__init__(parent)
         self.input_device_index = input_device_index
+        self.buffer = np.ndarray([], dtype=np.float32)
+        self.accumulation_size = 0
+        self._active = True
 
     def start_recording(self):
         try:
@@ -27,16 +33,24 @@ class RecordingAmplitudeListener(QObject):
                 callback=self.stream_callback,
             )
             self.stream.start()
-        except sounddevice.PortAudioError:
+            self.accumulation_size = int(self.stream.samplerate * self.ACCUMULATION_SECONDS)
+        except Exception as e:
             self.stop_recording()
-            logging.exception("")
+            logging.exception("Failed to start audio stream on device %s: %s", self.input_device_index, e)
 
     def stop_recording(self):
+        self._active = False
         if self.stream is not None:
             self.stream.stop()
             self.stream.close()
 
     def stream_callback(self, in_data: np.ndarray, frame_count, time_info, status):
+        if not self._active:
+            return
         chunk = in_data.ravel()
-        amplitude = np.sqrt(np.mean(chunk**2))  # root-mean-square
-        self.amplitude_changed.emit(amplitude)
+        self.amplitude_changed.emit(float(np.sqrt(np.mean(chunk**2))))
+
+        self.buffer = np.append(self.buffer, chunk)
+        if self.buffer.size >= self.accumulation_size:
+            self.average_amplitude_changed.emit(float(np.sqrt(np.mean(self.buffer**2))))
+            self.buffer = np.ndarray([], dtype=np.float32)

buzz/schema.sql

@@ -17,7 +17,9 @@ CREATE TABLE transcription (
     whisper_model_size TEXT,
     hugging_face_model_id TEXT,
     word_level_timings BOOLEAN DEFAULT FALSE,
-    extract_speech BOOLEAN DEFAULT FALSE
+    extract_speech BOOLEAN DEFAULT FALSE,
+    name TEXT,
+    notes TEXT
 );
 
 CREATE TABLE transcription_segment (

buzz/settings/settings.py

@@ -12,13 +12,11 @@ class Settings:
     def __init__(self, application=""):
         self.settings = QSettings(APP_NAME, application)
         self.settings.sync()
-        logging.debug(f"Settings filename: {self.settings.fileName()}")
 
     class Key(enum.Enum):
         RECORDING_TRANSCRIBER_TASK = "recording-transcriber/task"
         RECORDING_TRANSCRIBER_MODEL = "recording-transcriber/model"
         RECORDING_TRANSCRIBER_LANGUAGE = "recording-transcriber/language"
-        RECORDING_TRANSCRIBER_TEMPERATURE = "recording-transcriber/temperature"
         RECORDING_TRANSCRIBER_INITIAL_PROMPT = "recording-transcriber/initial-prompt"
         RECORDING_TRANSCRIBER_ENABLE_LLM_TRANSLATION = "recording-transcriber/enable-llm-translation"
         RECORDING_TRANSCRIBER_LLM_MODEL = "recording-transcriber/llm-model"
@@ -26,11 +24,22 @@ class Settings:
         RECORDING_TRANSCRIBER_EXPORT_ENABLED = "recording-transcriber/export-enabled"
         RECORDING_TRANSCRIBER_EXPORT_FOLDER = "recording-transcriber/export-folder"
         RECORDING_TRANSCRIBER_MODE = "recording-transcriber/mode"
+        RECORDING_TRANSCRIBER_SILENCE_THRESHOLD = "recording-transcriber/silence-threshold"
+        RECORDING_TRANSCRIBER_LINE_SEPARATOR = "recording-transcriber/line-separator"
+        RECORDING_TRANSCRIBER_TRANSCRIPTION_STEP = "recording-transcriber/transcription-step"
+        RECORDING_TRANSCRIBER_EXPORT_FILE_TYPE = "recording-transcriber/export-file-type"
+        RECORDING_TRANSCRIBER_EXPORT_MAX_ENTRIES = "recording-transcriber/export-max-entries"
+        RECORDING_TRANSCRIBER_EXPORT_FILE_NAME = "recording-transcriber/export-file-name"
+        RECORDING_TRANSCRIBER_HIDE_UNCONFIRMED = "recording-transcriber/hide-unconfirmed"
+
+        PRESENTATION_WINDOW_TEXT_COLOR = "presentation-window/text-color"
+        PRESENTATION_WINDOW_BACKGROUND_COLOR = "presentation-window/background-color"
+        PRESENTATION_WINDOW_TEXT_SIZE = "presentation-window/text-size"
+        PRESENTATION_WINDOW_THEME = "presentation-window/theme"
 
         FILE_TRANSCRIBER_TASK = "file-transcriber/task"
         FILE_TRANSCRIBER_MODEL = "file-transcriber/model"
         FILE_TRANSCRIBER_LANGUAGE = "file-transcriber/language"
-        FILE_TRANSCRIBER_TEMPERATURE = "file-transcriber/temperature"
         FILE_TRANSCRIBER_INITIAL_PROMPT = "file-transcriber/initial-prompt"
         FILE_TRANSCRIBER_ENABLE_LLM_TRANSLATION = "file-transcriber/enable-llm-translation"
         FILE_TRANSCRIBER_LLM_MODEL = "file-transcriber/llm-model"
@@ -40,6 +49,7 @@ class Settings:
 
         DEFAULT_EXPORT_FILE_NAME = "transcriber/default-export-file-name"
         CUSTOM_OPENAI_BASE_URL = "transcriber/custom-openai-base-url"
+        OPENAI_API_MODEL = "transcriber/openai-api-model"
         CUSTOM_FASTER_WHISPER_ID = "transcriber/custom-faster-whisper-id"
         HUGGINGFACE_MODEL_ID = "transcriber/huggingface-model-id"
 
@@ -54,6 +64,15 @@ class Settings:
         TRANSCRIPTION_TASKS_TABLE_COLUMN_VISIBILITY = (
             "transcription-tasks-table/column-visibility"
         )
+        TRANSCRIPTION_TASKS_TABLE_COLUMN_ORDER = (
+            "transcription-tasks-table/column-order"
+        )
+        TRANSCRIPTION_TASKS_TABLE_COLUMN_WIDTHS = (
+            "transcription-tasks-table/column-widths"
+        )
+        TRANSCRIPTION_TASKS_TABLE_SORT_STATE = (
+            "transcription-tasks-table/sort-state"
+        )
 
         MAIN_WINDOW = "main-window"
         TRANSCRIPTION_VIEWER = "transcription-viewer"
@@ -61,6 +80,10 @@ class Settings:
         AUDIO_PLAYBACK_RATE = "audio/playback-rate"
 
         FORCE_CPU = "force-cpu"
+        REDUCE_GPU_MEMORY = "reduce-gpu-memory"
+
+        LAST_UPDATE_CHECK = "update/last-check"
+        UPDATE_AVAILABLE_VERSION = "update/available-version"
 
     def get_user_identifier(self) -> str:
         user_id = self.value(self.Key.USER_IDENTIFIER, "")

buzz/settings/shortcut.py

@@ -23,6 +23,8 @@ class Shortcut(str, enum.Enum):
     VIEW_TRANSCRIPT_TRANSLATION = ("Ctrl+L", _("View Transcript Translation"))
     VIEW_TRANSCRIPT_TIMESTAMPS = ("Ctrl+T", _("View Transcript Timestamps"))
     SEARCH_TRANSCRIPT = ("Ctrl+F", _("Search Transcript"))
+    SEARCH_NEXT = ("Ctrl+Return", _("Go to Next Transcript Search Result"))
+    SEARCH_PREVIOUS = ("Shift+Return", _("Go to Previous Transcript Search Result"))
     SCROLL_TO_CURRENT_TEXT = ("Ctrl+G", _("Scroll to Current Text"))
     PLAY_PAUSE_AUDIO = ("Ctrl+P", _("Play/Pause Audio"))
     REPLAY_CURRENT_SEGMENT = ("Ctrl+Shift+P", _("Replay Current Segment"))

buzz/store/keyring_store.py

@@ -1,5 +1,10 @@
+import base64
 import enum
+import hashlib
+import json
 import logging
+import os
+import sys
 
 import keyring
 
@@ -10,7 +15,199 @@ class Key(enum.Enum):
     OPENAI_API_KEY = "OpenAI API key"
 
 
+def _is_linux() -> bool:
+    return sys.platform.startswith("linux")
+
+
+def _get_secrets_file_path() -> str:
+    """Get the path to the local encrypted secrets file."""
+    from platformdirs import user_data_dir
+
+    data_dir = user_data_dir(APP_NAME)
+    os.makedirs(data_dir, exist_ok=True)
+    return os.path.join(data_dir, ".secrets.json")
+
+
+def _get_portal_secret() -> bytes | None:
+    """Get the application secret from XDG Desktop Portal.
+
+    The portal provides a per-application secret that can be used
+    for encrypting application-specific data. This works in sandboxed
+    environments (Snap/Flatpak) via the desktop plug.
+    """
+    if not _is_linux():
+        return None
+
+    try:
+        from jeepney import DBusAddress, new_method_call
+        from jeepney.io.blocking import open_dbus_connection
+        import socket
+
+        # Open connection with file descriptor support enabled
+        conn = open_dbus_connection(bus="SESSION", enable_fds=True)
+
+        portal = DBusAddress(
+            "/org/freedesktop/portal/desktop",
+            bus_name="org.freedesktop.portal.Desktop",
+            interface="org.freedesktop.portal.Secret",
+        )
+
+        # Create a socket pair for receiving the secret
+        sock_read, sock_write = socket.socketpair(socket.AF_UNIX, socket.SOCK_STREAM)
+
+        try:
+            # Build the method call with file descriptor
+            # RetrieveSecret(fd: h, options: a{sv}) -> (handle: o)
+            # Pass the socket object directly - jeepney handles fd passing
+            msg = new_method_call(portal, "RetrieveSecret", "ha{sv}", (sock_write, {}))
+
+            # Send message and get reply
+            conn.send_and_get_reply(msg, timeout=10)
+
+            # Close the write end - portal has it now
+            sock_write.close()
+            sock_write = None
+
+            # Read the secret from the read end
+            # The portal writes the secret and closes its end
+            sock_read.settimeout(5.0)
+            secret_data = b""
+            while True:
+                try:
+                    chunk = sock_read.recv(4096)
+                    if not chunk:
+                        break
+                    secret_data += chunk
+                except socket.timeout:
+                    break
+
+            if secret_data:
+                return secret_data
+
+            return None
+
+        finally:
+            sock_read.close()
+            if sock_write is not None:
+                sock_write.close()
+
+    except Exception as exc:
+        logging.debug("XDG Portal secret not available: %s", exc)
+        return None
+
+
+def _derive_key(master_secret: bytes, key_name: str) -> bytes:
+    """Derive a key-specific encryption key from the master secret."""
+    # Use PBKDF2 to derive a key for this specific secret
+    return hashlib.pbkdf2_hmac(
+        "sha256",
+        master_secret,
+        f"{APP_NAME}:{key_name}".encode(),
+        100000,
+        dklen=32,
+    )
+
+
+def _encrypt_value(value: str, key: bytes) -> str:
+    """Encrypt a value using XOR with the derived key (simple encryption)."""
+    # For a more secure implementation, use cryptography library with AES
+    # This is a simple XOR-based encryption suitable for the use case
+    value_bytes = value.encode("utf-8")
+    key_extended = (key * ((len(value_bytes) // len(key)) + 1))[: len(value_bytes)]
+    encrypted = bytes(a ^ b for a, b in zip(value_bytes, key_extended))
+    return base64.b64encode(encrypted).decode("ascii")
+
+
+def _decrypt_value(encrypted: str, key: bytes) -> str:
+    """Decrypt a value using XOR with the derived key."""
+    encrypted_bytes = base64.b64decode(encrypted.encode("ascii"))
+    key_extended = (key * ((len(encrypted_bytes) // len(key)) + 1))[: len(encrypted_bytes)]
+    decrypted = bytes(a ^ b for a, b in zip(encrypted_bytes, key_extended))
+    return decrypted.decode("utf-8")
+
+
+def _load_local_secrets() -> dict:
+    """Load the local secrets file."""
+    secrets_file = _get_secrets_file_path()
+    if os.path.exists(secrets_file):
+        try:
+            with open(secrets_file, "r") as f:
+                return json.load(f)
+        except (json.JSONDecodeError, IOError) as exc:
+            logging.debug("Failed to load secrets file: %s", exc)
+    return {}
+
+
+def _save_local_secrets(secrets: dict) -> None:
+    """Save secrets to the local file."""
+    secrets_file = _get_secrets_file_path()
+    try:
+        with open(secrets_file, "w") as f:
+            json.dump(secrets, f)
+        # Set restrictive permissions
+        os.chmod(secrets_file, 0o600)
+    except IOError as exc:
+        logging.warning("Failed to save secrets file: %s", exc)
+
+
+def _get_portal_password(key: Key) -> str | None:
+    """Get a password using the XDG Desktop Portal Secret."""
+    portal_secret = _get_portal_secret()
+    if portal_secret is None:
+        return None
+
+    secrets = _load_local_secrets()
+    encrypted_value = secrets.get(key.value)
+    if encrypted_value is None:
+        return None
+
+    try:
+        derived_key = _derive_key(portal_secret, key.value)
+        return _decrypt_value(encrypted_value, derived_key)
+    except Exception as exc:
+        logging.debug("Failed to decrypt portal secret: %s", exc)
+        return None
+
+
+def _set_portal_password(key: Key, password: str) -> bool:
+    """Set a password using the XDG Desktop Portal Secret."""
+    portal_secret = _get_portal_secret()
+    if portal_secret is None:
+        return False
+
+    try:
+        derived_key = _derive_key(portal_secret, key.value)
+        encrypted_value = _encrypt_value(password, derived_key)
+
+        secrets = _load_local_secrets()
+        secrets[key.value] = encrypted_value
+        _save_local_secrets(secrets)
+        return True
+    except Exception as exc:
+        logging.debug("Failed to set portal secret: %s", exc)
+        return False
+
+
+def _delete_portal_password(key: Key) -> bool:
+    """Delete a password from the portal-based local storage."""
+    secrets = _load_local_secrets()
+    if key.value in secrets:
+        del secrets[key.value]
+        _save_local_secrets(secrets)
+        return True
+    return False
+
+
 def get_password(key: Key) -> str | None:
+    # On Linux, try XDG Desktop Portal first (works in sandboxed environments)
+    if _is_linux():
+        result = _get_portal_password(key)
+
+
+        if result is not None:
+            return result
+
+    # Fall back to keyring (cross-platform, uses Secret Service on Linux)
     try:
         password = keyring.get_password(APP_NAME, username=key.value)
         if password is None:
@@ -22,4 +219,25 @@ def get_password(key: Key) -> str | None:
 
 
 def set_password(username: Key, password: str) -> None:
+    # On Linux, try XDG Desktop Portal first (works in sandboxed environments)
+    if _is_linux():
+        if _set_portal_password(username, password):
+            return
+
+    # Fall back to keyring (cross-platform, uses Secret Service on Linux)
     keyring.set_password(APP_NAME, username.value, password)
+
+
+def delete_password(key: Key) -> None:
+    """Delete a password from the secret store."""
+    # On Linux, also delete from portal storage
+    if _is_linux():
+        _delete_portal_password(key)
+
+    # Delete from keyring
+    try:
+        keyring.delete_password(APP_NAME, key.value)
+    except keyring.errors.PasswordDeleteError:
+        pass  # Password doesn't exist, ignore
+    except Exception as exc:
+        logging.warning("Unable to delete from keyring: %s", exc)

buzz/transcriber/file_transcriber.py

@@ -38,12 +38,35 @@ class FileTranscriber(QObject):
     @pyqtSlot()
     def run(self):
         if self.transcription_task.source == FileTranscriptionTask.Source.URL_IMPORT:
-            temp_output_path = tempfile.mktemp()
+            cookiefile = os.getenv("BUZZ_DOWNLOAD_COOKIEFILE")
+
+            # First extract info to get the video title
+            extract_options = {
+                "logger": logging.getLogger(),
+            }
+            if cookiefile:
+                extract_options["cookiefile"] = cookiefile
+
+            try:
+                with YoutubeDL(extract_options) as ydl_info:
+                    info = ydl_info.extract_info(self.transcription_task.url, download=False)
+                    video_title = info.get("title", "audio")
+            except Exception as exc:
+                logging.debug(f"Error extracting video info: {exc}")
+                video_title = "audio"
+
+            # Sanitize title for use as filename
+            video_title = YoutubeDL.sanitize_info({"title": video_title})["title"]
+            # Remove characters that are problematic in filenames
+            for char in ['/', '\\', ':', '*', '?', '"', '<', '>', '|']:
+                video_title = video_title.replace(char, '_')
+
+            # Create temp directory and use video title as filename
+            temp_dir = tempfile.mkdtemp()
+            temp_output_path = os.path.join(temp_dir, video_title)
             wav_file = temp_output_path + ".wav"
             wav_file = str(Path(wav_file).resolve())
 
-            cookiefile = os.getenv("BUZZ_DOWNLOAD_COOKIEFILE")
-
             options = {
                 "format": "bestaudio/best",
                 "progress_hooks": [self.on_download_progress],
@@ -126,13 +149,22 @@ class FileTranscriber(QObject):
             )
 
         if self.transcription_task.source == FileTranscriptionTask.Source.FOLDER_WATCH:
-            shutil.move(
-                self.transcription_task.file_path,
-                os.path.join(
-                    self.transcription_task.output_directory,
-                    os.path.basename(self.transcription_task.file_path),
-                ),
+            # Use original_file_path if available (before speech extraction changed file_path)
+            source_path = (
+                self.transcription_task.original_file_path
+                or self.transcription_task.file_path
             )
+            if source_path and os.path.exists(source_path):
+                if self.transcription_task.delete_source_file:
+                    os.remove(source_path)
+                else:
+                    shutil.move(
+                        source_path,
+                        os.path.join(
+                            self.transcription_task.output_directory,
+                            os.path.basename(source_path),
+                        ),
+                    )
 
     def on_download_progress(self, data: dict):
         if data["status"] == "downloading":
@@ -147,7 +179,6 @@ class FileTranscriber(QObject):
         ...
 
 
-# TODO: Move to transcription service
 def write_output(
     path: str,
     segments: List[Segment],
@@ -203,3 +234,9 @@ def to_timestamp(ms: float, ms_separator=".") -> str:
     sec = int(ms / 1000)
     ms = int(ms - sec * 1000)
     return f"{hr:02d}:{min:02d}:{sec:02d}{ms_separator}{ms:03d}"
+
+# To detect when transcription source is a video
+VIDEO_EXTENSIONS = {".mp4", ".mov", ".mkv", ".avi", ".m4v", ".webm", ".ogm", ".wmv"}
+
+def is_video_file(path: str) -> bool:
+    return Path(path).suffix.lower() in VIDEO_EXTENSIONS

buzz/transcriber/local_whisper_cpp_server_transcriber.py

@@ -64,7 +64,8 @@ class LocalWhisperCppServerTranscriber(OpenAIWhisperAPIFileTranscriber):
 
         self.openai_client = OpenAI(
             api_key="not-used",
-            base_url="http://127.0.0.1:3000"
+            base_url="http://127.0.0.1:3000",
+            max_retries=0
         )
 
     def transcribe(self) -> List[Segment]:

buzz/transcriber/openai_whisper_api_file_transcriber.py

@@ -12,7 +12,6 @@ from PyQt6.QtCore import QObject
 from openai import OpenAI
 
 from buzz.settings.settings import Settings
-from buzz.model_loader import get_custom_api_whisper_model
 from buzz.transcriber.file_transcriber import FileTranscriber, app_env
 from buzz.transcriber.transcriber import FileTranscriptionTask, Segment, Task
 
@@ -46,9 +45,12 @@ class OpenAIWhisperAPIFileTranscriber(FileTranscriber):
         self.task = task.transcription_options.task
         self.openai_client = OpenAI(
             api_key=self.transcription_task.transcription_options.openai_access_token,
-            base_url=custom_openai_base_url if custom_openai_base_url else None
+            base_url=custom_openai_base_url if custom_openai_base_url else None,
+            max_retries=0
+        )
+        self.whisper_api_model = settings.value(
+            key=Settings.Key.OPENAI_API_MODEL, default_value="whisper-1"
         )
-        self.whisper_api_model = get_custom_api_whisper_model(custom_openai_base_url)
         self.word_level_timings = self.transcription_task.transcription_options.word_level_timings
         logging.debug("Will use whisper API on %s, %s",
                       custom_openai_base_url, self.whisper_api_model)
@@ -181,17 +183,22 @@ class OpenAIWhisperAPIFileTranscriber(FileTranscriber):
         return segments
 
     @staticmethod
-    def get_value(segment, key):
+    def get_value(segment, key, default=None):
         if hasattr(segment, key):
             return getattr(segment, key)
-        return segment[key]
+        if isinstance(segment, dict):
+            return segment.get(key, default)
+        return default
 
     def get_segments_for_file(self, file: str, offset_ms: int = 0):
         with open(file, "rb") as file:
+            # gpt-4o models don't support verbose_json format
+            response_format = "json" if self.whisper_api_model.startswith("gpt-4o") else "verbose_json"
+
             options = {
                 "model": self.whisper_api_model,
                 "file": file,
-                "response_format": "verbose_json",
+                "response_format": response_format,
                 "prompt": self.transcription_task.transcription_options.initial_prompt,
             }
 
@@ -217,7 +224,8 @@ class OpenAIWhisperAPIFileTranscriber(FileTranscriber):
                 if "segments" in transcript.model_extra:
                     segments = transcript.model_extra["segments"]
                 else:
-                    segments = [{"words": words}]
+                    # gpt-4o models return only text without segments/timestamps
+                    segments = [{"text": transcript.text, "start": 0, "end": 0, "words": words}]
 
             result_segments = []
             if self.word_level_timings:
@@ -272,9 +280,9 @@ class OpenAIWhisperAPIFileTranscriber(FileTranscriber):
             else:
                 result_segments = [
                     Segment(
-                        int(self.get_value(segment, "start") * 1000 + offset_ms),
-                        int(self.get_value(segment,"end") * 1000 + offset_ms),
-                        self.get_value(segment,"text"),
+                        int(self.get_value(segment, "start", 0) * 1000 + offset_ms),
+                        int(self.get_value(segment, "end", 0) * 1000 + offset_ms),
+                        self.get_value(segment, "text", ""),
                     )
                     for segment in segments
                 ]

buzz/transcriber/recording_transcriber.py

@@ -11,6 +11,9 @@ import subprocess
 from typing import Optional
 from platformdirs import user_cache_dir
 
+# Preload CUDA libraries before importing torch
+from buzz import cuda_setup  # noqa: F401
+
 import torch
 import numpy as np
 import sounddevice
@@ -21,11 +24,10 @@ from PyQt6.QtCore import QObject, pyqtSignal
 from buzz import whisper_audio
 from buzz.locale import _
 from buzz.assets import APP_BASE_DIR
-from buzz.model_loader import ModelType, get_custom_api_whisper_model
+from buzz.model_loader import ModelType, map_language_to_mms
 from buzz.settings.settings import Settings
-from buzz.transcriber.transcriber import TranscriptionOptions, Task
-from buzz.transcriber.file_transcriber import app_env
-from buzz.transformers_whisper import TransformersWhisper
+from buzz.transcriber.transcriber import TranscriptionOptions, Task, DEFAULT_WHISPER_TEMPERATURE
+from buzz.transformers_whisper import TransformersTranscriber
 from buzz.settings.recording_transcriber_mode import RecordingTranscriberMode
 
 import whisper
@@ -36,6 +38,9 @@ class RecordingTranscriber(QObject):
     transcription = pyqtSignal(str)
     finished = pyqtSignal()
     error = pyqtSignal(str)
+    amplitude_changed = pyqtSignal(float)
+    average_amplitude_changed = pyqtSignal(float)
+    queue_size_changed = pyqtSignal(int)
     is_running = False
     SAMPLE_RATE = whisper_audio.SAMPLE_RATE
 
@@ -57,10 +62,10 @@ class RecordingTranscriber(QObject):
         self.input_device_index = input_device_index
         self.sample_rate = sample_rate if sample_rate is not None else whisper_audio.SAMPLE_RATE
         self.model_path = model_path
-        self.n_batch_samples = 5 * self.sample_rate  # 5 seconds
+        self.n_batch_samples = int(5 * self.sample_rate)  # 5 seconds
         self.keep_sample_seconds = 0.15
         if self.transcriber_mode == RecordingTranscriberMode.APPEND_AND_CORRECT:
-            self.n_batch_samples = 3 * self.sample_rate  # 3 seconds
+            self.n_batch_samples = int(transcription_options.transcription_step * self.sample_rate)
             self.keep_sample_seconds = 1.5
         # pause queueing if more than 3 batches behind
         self.max_queue_size = 3 * self.n_batch_samples
@@ -68,10 +73,14 @@ class RecordingTranscriber(QObject):
         self.mutex = threading.Lock()
         self.sounddevice = sounddevice
         self.openai_client = None
-        self.whisper_api_model = get_custom_api_whisper_model("")
+        self.whisper_api_model = self.settings.value(
+            key=Settings.Key.OPENAI_API_MODEL, default_value="whisper-1"
+        )
         self.process = None
+        self._stderr_lines: list[bytes] = []
 
     def start(self):
+        self.is_running = True
         model = None
         model_path = self.model_path
         keep_samples = int(self.keep_sample_seconds * self.sample_rate)
@@ -87,6 +96,12 @@ class RecordingTranscriber(QObject):
             model = whisper.load_model(model_path, device=device)
         elif self.transcription_options.model.model_type == ModelType.WHISPER_CPP:
             self.start_local_whisper_server()
+            if self.openai_client is None:
+                if not self.is_running:
+                    self.finished.emit()
+                else:
+                    self.error.emit(_("Whisper server failed to start. Check logs for details."))
+                return
         elif self.transcription_options.model.model_type == ModelType.FASTER_WHISPER:
             model_root_dir = user_cache_dir("Buzz")
             model_root_dir = os.path.join(model_root_dir, "models")
@@ -104,34 +119,34 @@ class RecordingTranscriber(QObject):
             if force_cpu != "false":
                 device = "cpu"
 
+            # Check if user wants reduced GPU memory usage (int8 quantization)
+            reduce_gpu_memory = os.getenv("BUZZ_REDUCE_GPU_MEMORY", "false") != "false"
+            compute_type = "default"
+            if reduce_gpu_memory:
+                compute_type = "int8" if device == "cpu" else "int8_float16"
+                logging.debug(f"Using {compute_type} compute type for reduced memory usage")
+
             model = faster_whisper.WhisperModel(
                 model_size_or_path=model_path,
                 download_root=model_root_dir,
                 device=device,
+                compute_type=compute_type,
                 cpu_threads=(os.cpu_count() or 8)//2,
             )
 
-            # This was commented out as it was causing issues. On the other hand some users are reporting errors without
-            # this. It is possible issues were present in older model versions without some config files and now are fixed
-            #
-            # Fix for large-v3 https://github.com/guillaumekln/faster-whisper/issues/547#issuecomment-1797962599
-            # if self.transcription_options.model.whisper_model_size in {WhisperModelSize.LARGEV3, WhisperModelSize.LARGEV3TURBO}:
-            #     model.feature_extractor.mel_filters = model.feature_extractor.get_mel_filters(
-            #         model.feature_extractor.sampling_rate, model.feature_extractor.n_fft, n_mels=128
-            #     )
         elif self.transcription_options.model.model_type == ModelType.OPEN_AI_WHISPER_API:
             custom_openai_base_url = self.settings.value(
                 key=Settings.Key.CUSTOM_OPENAI_BASE_URL, default_value=""
             )
-            self.whisper_api_model = get_custom_api_whisper_model(custom_openai_base_url)
             self.openai_client = OpenAI(
                 api_key=self.transcription_options.openai_access_token,
-                base_url=custom_openai_base_url if custom_openai_base_url else None
+                base_url=custom_openai_base_url if custom_openai_base_url else None,
+                max_retries=0
             )
             logging.debug("Will use whisper API on %s, %s",
                           custom_openai_base_url, self.whisper_api_model)
         else:  # ModelType.HUGGING_FACE
-            model = TransformersWhisper(model_path)
+            model = TransformersTranscriber(model_path)
 
         initial_prompt = self.transcription_options.initial_prompt
 
@@ -143,7 +158,6 @@ class RecordingTranscriber(QObject):
             self.input_device_index,
         )
 
-        self.is_running = True
         try:
             with self.sounddevice.InputStream(
                 samplerate=self.sample_rate,
@@ -155,11 +169,19 @@ class RecordingTranscriber(QObject):
                 while self.is_running:
                     if self.queue.size >= self.n_batch_samples:
                         self.mutex.acquire()
-                        samples = self.queue[: self.n_batch_samples]
-                        self.queue = self.queue[self.n_batch_samples - keep_samples:]
+                        cut = self.find_silence_cut_point(
+                            self.queue[:self.n_batch_samples], self.sample_rate
+                        )
+                        samples = self.queue[:cut]
+                        if self.transcriber_mode == RecordingTranscriberMode.APPEND_AND_CORRECT:
+                            self.queue = self.queue[cut - keep_samples:]
+                        else:
+                            self.queue = self.queue[cut:]
                         self.mutex.release()
 
                         amplitude = self.amplitude(samples)
+                        self.average_amplitude_changed.emit(amplitude)
+                        self.queue_size_changed.emit(self.queue.size)
 
                         logging.debug(
                             "Processing next frame, sample size = %s, queue size = %s, amplitude = %s",
@@ -168,7 +190,7 @@ class RecordingTranscriber(QObject):
                             amplitude,
                         )
 
-                        if amplitude < 0.025:
+                        if amplitude < self.transcription_options.silence_threshold:
                             time.sleep(0.5)
                             continue
 
@@ -184,8 +206,9 @@ class RecordingTranscriber(QObject):
                                 language=self.transcription_options.language,
                                 task=self.transcription_options.task.value,
                                 initial_prompt=initial_prompt,
-                                temperature=self.transcription_options.temperature,
-                                no_speech_threshold=0.4
+                                temperature=DEFAULT_WHISPER_TEMPERATURE,
+                                no_speech_threshold=0.4,
+                                fp16=False,
                             )
                         elif (
                                 self.transcription_options.model.model_type
@@ -199,7 +222,7 @@ class RecordingTranscriber(QObject):
                                 else None,
                                 task=self.transcription_options.task.value,
                                 # Prevent crash on Windows https://github.com/SYSTRAN/faster-whisper/issues/71#issuecomment-1526263764
-                                temperature=0 if platform.system() == "Windows" else self.transcription_options.temperature,
+                                temperature=0 if platform.system() == "Windows" else DEFAULT_WHISPER_TEMPERATURE,
                                 initial_prompt=self.transcription_options.initial_prompt,
                                 word_timestamps=False,
                                 without_timestamps=True,
@@ -210,18 +233,29 @@ class RecordingTranscriber(QObject):
                                 self.transcription_options.model.model_type
                                 == ModelType.HUGGING_FACE
                         ):
-                            assert isinstance(model, TransformersWhisper)
+                            assert isinstance(model, TransformersTranscriber)
+                            # Handle MMS-specific language and task
+                            if model.is_mms_model:
+                                language = map_language_to_mms(
+                                    self.transcription_options.language or "eng"
+                                )
+                                effective_task = Task.TRANSCRIBE.value
+                            else:
+                                language = (
+                                    self.transcription_options.language
+                                    if self.transcription_options.language is not None
+                                    else "en"
+                                )
+                                effective_task = self.transcription_options.task.value
+
                             result = model.transcribe(
                                 audio=samples,
-                                language=self.transcription_options.language
-                                if self.transcription_options.language is not None
-                                else "en",
-                                task=self.transcription_options.task.value,
+                                language=language,
+                                task=effective_task,
                             )
                         else:  # OPEN_AI_WHISPER_API, also used for WHISPER_CPP
                             if self.openai_client is None:
-                                self.transcription.emit(_("A connection error occurred"))
-                                self.stop_recording()
+                                self.error.emit(_("A connection error occurred"))
                                 return
 
                             # scale samples to 16-bit PCM
@@ -271,7 +305,7 @@ class RecordingTranscriber(QObject):
                         next_text: str = result.get("text")
 
                         # Update initial prompt between successive recording chunks
-                        initial_prompt += next_text
+                        initial_prompt = next_text
 
                         logging.debug(
                             "Received next result, length = %s, time taken = %s",
@@ -284,17 +318,22 @@ class RecordingTranscriber(QObject):
 
         except PortAudioError as exc:
             self.error.emit(str(exc))
-            logging.exception("")
+            logging.exception("PortAudio error during recording")
+            return
+        except Exception as exc:
+            logging.exception("Unexpected error during recording")
+            self.error.emit(str(exc))
             return
 
-        self.finished.emit()
-
-        # Cleanup
+        # Cleanup before emitting finished to avoid destroying QThread
+        # while this function is still on the call stack
         if model:
             del model
         if torch.cuda.is_available():
             torch.cuda.empty_cache()
 
+        self.finished.emit()
+
     @staticmethod
     def get_device_sample_rate(device_id: Optional[int]) -> int:
         """Returns the sample rate to be used for recording. It uses the default sample rate
@@ -314,23 +353,76 @@ class RecordingTranscriber(QObject):
     def stream_callback(self, in_data: np.ndarray, frame_count, time_info, status):
         # Try to enqueue the next block. If the queue is already full, drop the block.
         chunk: np.ndarray = in_data.ravel()
+
+        amplitude = self.amplitude(chunk)
+        self.amplitude_changed.emit(amplitude)
+
         with self.mutex:
             if self.queue.size < self.max_queue_size:
                 self.queue = np.append(self.queue, chunk)
 
+    @staticmethod
+    def find_silence_cut_point(samples: np.ndarray, sample_rate: int,
+                               search_seconds: float = 1.5,
+                               window_seconds: float = 0.02,
+                               silence_ratio: float = 0.5) -> int:
+        """Return index of the last quiet point in the final search_seconds of samples.
+
+        Scans backwards through short windows; returns the midpoint of the rightmost
+        window whose RMS is below silence_ratio * mean_rms of the search region.
+        Falls back to len(samples) if no quiet window is found.
+        """
+        window = int(window_seconds * sample_rate)
+        search_start = max(0, len(samples) - int(search_seconds * sample_rate))
+        region = samples[search_start:]
+        n_windows = (len(region) - window) // window
+        if n_windows < 1:
+            return len(samples)
+
+        energies = np.array([
+            np.sqrt(np.mean(region[i * window:(i + 1) * window] ** 2))
+            for i in range(n_windows)
+        ])
+        mean_energy = energies.mean()
+        threshold = silence_ratio * mean_energy
+
+        for i in range(n_windows - 1, -1, -1):
+            if energies[i] < threshold:
+                cut = search_start + i * window + window // 2
+                return cut
+
+        return len(samples)
+
     @staticmethod
     def amplitude(arr: np.ndarray):
-        return (abs(max(arr)) + abs(min(arr))) / 2
+        return float(np.sqrt(np.mean(arr**2)))
+
+    def _drain_stderr(self):
+        if self.process and self.process.stderr:
+            for line in self.process.stderr:
+                self._stderr_lines.append(line)
 
     def stop_recording(self):
         self.is_running = False
         if self.process and self.process.poll() is None:
             self.process.terminate()
-            self.process.wait()
+            try:
+                self.process.wait(timeout=5)
+            except subprocess.TimeoutExpired:
+                self.process.kill()
+                logging.warning("Whisper server process had to be killed after timeout")
 
     def start_local_whisper_server(self):
+        # Reduce verbose HTTP client logging from OpenAI/httpx
+        logging.getLogger("httpx").setLevel(logging.WARNING)
+        logging.getLogger("httpcore").setLevel(logging.WARNING)
+        logging.getLogger("openai").setLevel(logging.WARNING)
+
         self.transcription.emit(_("Starting Whisper.cpp..."))
 
+        if platform.system() == "Darwin" and platform.machine() == "arm64":
+            self.transcription.emit(_("First time use of a model may take up to several minutest to load."))
+
         self.process = None
 
         server_executable = "whisper-server.exe" if sys.platform == "win32" else "whisper-server"
@@ -347,7 +439,10 @@ class RecordingTranscriber(QObject):
             "--threads", str(os.getenv("BUZZ_WHISPERCPP_N_THREADS", (os.cpu_count() or 8) // 2)),
             "--model", self.model_path,
             "--no-timestamps",
-            "--no-context",  # on Windows context causes duplications of last message
+            # Protections against hallucinated repetition. Seems to be problem on macOS
+            # https://github.com/ggml-org/whisper.cpp/issues/1507
+            "--max-context", "64",
+            "--entropy-thold", "2.8",
             "--suppress-nst"
         ]
 
@@ -377,20 +472,27 @@ class RecordingTranscriber(QObject):
         except Exception as e:
             error_msg = f"Failed to start whisper-server subprocess: {str(e)}"
             logging.error(error_msg)
-            self.error.emit(error_msg)
             return
 
-        # Wait for server to start and load model
-        time.sleep(10)
+        # Drain stderr in a background thread to prevent pipe buffer from filling
+        # up and blocking the subprocess (especially on Windows with compiled exe).
+        self._stderr_lines = []
+        stderr_thread = threading.Thread(target=self._drain_stderr, daemon=True)
+        stderr_thread.start()
+
+        # Wait for server to start and load model, checking periodically
+        for i in range(100):  # 10 seconds total, in 0.1s increments
+            if not self.is_running or self.process.poll() is not None:
+                break
+            time.sleep(0.1)
 
         if self.process is not None and self.process.poll() is None:
             self.transcription.emit(_("Starting transcription..."))
             logging.debug(f"Whisper server started successfully.")
             logging.debug(f"Model: {self.model_path}")
         else:
-            stderr_output = ""
-            if self.process.stderr is not None:
-                stderr_output = self.process.stderr.read().decode()
+            stderr_thread.join(timeout=2)
+            stderr_output = b"".join(self._stderr_lines).decode(errors="replace")
             logging.error(f"Whisper server failed to start. Error: {stderr_output}")
 
             self.transcription.emit(_("Whisper server failed to start. Check logs for details."))
@@ -416,4 +518,7 @@ class RecordingTranscriber(QObject):
     def __del__(self):
         if self.process and self.process.poll() is None:
             self.process.terminate()
-            self.process.wait()
+            try:
+                self.process.wait(timeout=5)
+            except subprocess.TimeoutExpired:
+                self.process.kill()

buzz/transcriber/transcriber.py

@@ -153,6 +153,9 @@ class TranscriptionOptions:
     enable_llm_translation: bool = False
     llm_prompt: str = ""
     llm_model: str = ""
+    silence_threshold: float = 0.0025
+    line_separator: str = "\n\n"
+    transcription_step: float = 3.5
 
 
 def humanize_language(language: str) -> str:
@@ -199,6 +202,8 @@ class FileTranscriptionTask:
     output_directory: Optional[str] = None
     source: Source = Source.FILE_IMPORT
     file_path: Optional[str] = None
+    original_file_path: Optional[str] = None  # Original path before speech extraction
+    delete_source_file: bool = False
     url: Optional[str] = None
     fraction_downloaded: float = 0.0
 
@@ -229,6 +234,9 @@ def get_output_file_path(
     export_file_name_template: str | None = None,
 ):
     input_file_name = os.path.splitext(os.path.basename(file_path))[0]
+    # Remove "_speech" suffix from extracted speech files
+    if input_file_name.endswith("_speech"):
+        input_file_name = input_file_name[:-7]
     date_time_now = datetime.datetime.now().strftime("%d-%b-%Y %H-%M-%S")
 
     export_file_name_template = (

buzz/transcriber/whisper_cpp.py

@@ -4,7 +4,6 @@ import sys
 import logging
 import subprocess
 import json
-import tempfile
 from typing import List
 from buzz.assets import APP_BASE_DIR
 from buzz.transcriber.transcriber import Segment, Task, FileTranscriptionTask
@@ -58,9 +57,7 @@ class WhisperCpp:
         file_to_process = task.file_path
 
         if file_ext not in supported_formats:
-            # Create temporary WAV file
-            temp_dir = tempfile.gettempdir()
-            temp_file = os.path.join(temp_dir, f"buzz_temp_{os.path.basename(task.file_path)}.wav")
+            temp_file = task.file_path + ".wav"
 
             logging.info(f"Converting {task.file_path} to WAV format")
 
@@ -99,22 +96,32 @@ class WhisperCpp:
         # Build the command
         cmd = [
             whisper_cli_path,
-            "-m", task.model_path,
-            "-l", language,
+            "--model", task.model_path,
+            "--language", language,
             "--print-progress",
             "--suppress-nst",
+            # Protections against hallucinated repetition. Seems to be problem on macOS
+            # https://github.com/ggml-org/whisper.cpp/issues/1507
+            "--max-context", "64",
+            "--entropy-thold", "2.8",
             "--output-json-full",
+            "--threads", str(os.getenv("BUZZ_WHISPERCPP_N_THREADS", (os.cpu_count() or 8) // 2)),
             "-f", file_to_process,
         ]
     
+        # Add VAD if the model is available
+        vad_model_path = os.path.join(os.path.dirname(whisper_cli_path), "ggml-silero-v6.2.0.bin")
+        if os.path.exists(vad_model_path):
+            cmd.extend(["--vad", "--vad-model", vad_model_path])
+
         # Add translate flag if needed
         if task.transcription_options.task == Task.TRANSLATE:
-            cmd.append("--translate")
+            cmd.extend(["--translate"])
     
         # Force CPU if specified
         force_cpu = os.getenv("BUZZ_FORCE_CPU", "false")
-        if force_cpu != "false" or not IS_VULKAN_SUPPORTED:
-            cmd.append("--no-gpu")
+        if force_cpu != "false" or (not IS_VULKAN_SUPPORTED and platform.system() != "Darwin"):
+            cmd.extend(["--no-gpu"])
 
         print(f"Running Whisper CLI: {' '.join(cmd)}")
 
@@ -125,7 +132,7 @@ class WhisperCpp:
             si.wShowWindow = subprocess.SW_HIDE
             process = subprocess.Popen(
                 cmd,
-                stdout=subprocess.PIPE,
+                stdout=subprocess.DEVNULL,
                 stderr=subprocess.PIPE,
                 text=True,
                 startupinfo=si,
@@ -135,7 +142,7 @@ class WhisperCpp:
         else:
             process = subprocess.Popen(
                 cmd,
-                stdout=subprocess.PIPE,
+                stdout=subprocess.DEVNULL,
                 stderr=subprocess.PIPE,
                 text=True,
             )
@@ -178,79 +185,165 @@ class WhisperCpp:
                 # Extract word-level timestamps from tokens array
                 # Combine tokens into words using similar logic as whisper_cpp.py
                 transcription = result.get("transcription", [])
+
+                # Languages that don't use spaces between words
+                # For these, each token is treated as a separate word
+                non_space_languages = {"zh", "ja", "th", "lo", "km", "my"}
+                is_non_space_language = language in non_space_languages
+
                 for segment_data in transcription:
                     tokens = segment_data.get("tokens", [])
-    
-                    # Accumulate tokens into words
-                    word_buffer = b""
-                    word_start = 0
-                    word_end = 0
-    
-                    def append_word(buffer: bytes, start: int, end: int):
-                        """Try to decode and append a word segment, handling multi-byte UTF-8"""
-                        if not buffer:
-                            return True
-    
-                        # Try to decode as UTF-8
-                        # https://github.com/ggerganov/whisper.cpp/issues/1798
-                        try:
-                            text = buffer.decode("utf-8").strip()
-                            if text:
-                                segments.append(
-                                    Segment(
-                                        start=start,
-                                        end=end,
-                                        text=text,
-                                        translation=""
+
+                    if is_non_space_language:
+                        # For languages without spaces (Chinese, Japanese, etc.),
+                        # each complete UTF-8 character is treated as a separate word.
+                        # Some characters may be split across multiple tokens as raw bytes.
+                        char_buffer = b""
+                        char_start = 0
+                        char_end = 0
+
+                        def flush_complete_chars(buffer: bytes, start: int, end: int):
+                            """Extract and output all complete UTF-8 characters from buffer.
+                            Returns any remaining incomplete bytes."""
+                            nonlocal segments
+                            remaining = buffer
+                            pos = 0
+
+                            while pos < len(remaining):
+                                # Try to decode one character at a time
+                                for char_len in range(1, min(5, len(remaining) - pos + 1)):
+                                    try:
+                                        char = remaining[pos:pos + char_len].decode("utf-8")
+                                        # Successfully decoded a character
+                                        if char.strip():
+                                            segments.append(
+                                                Segment(
+                                                    start=start,
+                                                    end=end,
+                                                    text=char,
+                                                    translation=""
+                                                )
+                                            )
+                                        pos += char_len
+                                        break
+                                    except UnicodeDecodeError:
+                                        if char_len == 4 or pos + char_len >= len(remaining):
+                                            # Incomplete character at end - return as remaining
+                                            return remaining[pos:]
+                                else:
+                                    # Couldn't decode, might be incomplete at end
+                                    return remaining[pos:]
+
+                            return b""
+
+                        for token_data in tokens:
+                            token_text = token_data.get("text", "")
+
+                            # Skip special tokens like [_TT_], [_BEG_]
+                            if token_text.startswith("[_"):
+                                continue
+
+                            if not token_text:
+                                continue
+
+                            token_start = int(token_data.get("offsets", {}).get("from", 0))
+                            token_end = int(token_data.get("offsets", {}).get("to", 0))
+
+                            # Convert latin-1 string back to original bytes
+                            token_bytes = token_text.encode("latin-1")
+
+                            if not char_buffer:
+                                char_start = token_start
+
+                            char_buffer += token_bytes
+                            char_end = token_end
+
+                            # Try to flush complete characters
+                            char_buffer = flush_complete_chars(char_buffer, char_start, char_end)
+
+                            # If buffer was fully flushed, reset start time for next char
+                            if not char_buffer:
+                                char_start = token_end
+
+                        # Flush any remaining buffer at end of segment
+                        if char_buffer:
+                            flush_complete_chars(char_buffer, char_start, char_end)
+                    else:
+                        # For space-separated languages, accumulate tokens into words
+                        word_buffer = b""
+                        word_start = 0
+                        word_end = 0
+
+                        def append_word(buffer: bytes, start: int, end: int):
+                            """Try to decode and append a word segment, handling multi-byte UTF-8"""
+                            if not buffer:
+                                return True
+
+                            # Try to decode as UTF-8
+                            # https://github.com/ggerganov/whisper.cpp/issues/1798
+                            try:
+                                text = buffer.decode("utf-8").strip()
+                                if text:
+                                    segments.append(
+                                        Segment(
+                                            start=start,
+                                            end=end,
+                                            text=text,
+                                            translation=""
+                                        )
                                     )
-                                )
-                            return True
-                        except UnicodeDecodeError:
-                            # Multi-byte character is split, continue accumulating
-                            return False
-    
-                    for token_data in tokens:
-                        # Token text is read as latin-1, need to convert to bytes to get original data
-                        token_text = token_data.get("text", "")
-    
-                        # Skip special tokens like [_TT_], [_BEG_]
-                        if token_text.startswith("[_"):
-                            continue
-    
-                        if not token_text:
-                            continue
-    
-                        token_start = int(token_data.get("offsets", {}).get("from", 0))
-                        token_end = int(token_data.get("offsets", {}).get("to", 0))
-    
-                        # Convert latin-1 string back to original bytes
-                        # (latin-1 preserves byte values as code points)
-                        token_bytes = token_text.encode("latin-1")
-    
-                        # Check if token starts with space - indicates new word
-                        if token_bytes.startswith(b" ") and word_buffer:
-                            # Save previous word
-                            append_word(word_buffer, word_start, word_end)
-                            # Start new word
-                            word_buffer = token_bytes
-                            word_start = token_start
-                            word_end = token_end
-                        elif token_bytes.startswith(b", "):
-                            # Handle comma - save word with comma, then start new word
-                            word_buffer += b","
-                            append_word(word_buffer, word_start, word_end)
-                            word_buffer = token_bytes.lstrip(b",")
-                            word_start = token_start
-                            word_end = token_end
-                        else:
-                            # Accumulate token into current word
-                            if not word_buffer:
+                                return True
+                            except UnicodeDecodeError:
+                                # Multi-byte character is split, continue accumulating
+                                return False
+
+                        for token_data in tokens:
+                            # Token text is read as latin-1, need to convert to bytes to get original data
+                            token_text = token_data.get("text", "")
+
+                            # Skip special tokens like [_TT_], [_BEG_]
+                            if token_text.startswith("[_"):
+                                continue
+
+                            if not token_text:
+                                continue
+
+                            # Skip low probability tokens
+                            token_p = token_data.get("p", 1.0)
+                            if token_p < 0.01:
+                                continue
+
+                            token_start = int(token_data.get("offsets", {}).get("from", 0))
+                            token_end = int(token_data.get("offsets", {}).get("to", 0))
+
+                            # Convert latin-1 string back to original bytes
+                            # (latin-1 preserves byte values as code points)
+                            token_bytes = token_text.encode("latin-1")
+
+                            # Check if token starts with space - indicates new word
+                            if token_bytes.startswith(b" ") and word_buffer:
+                                # Save previous word
+                                append_word(word_buffer, word_start, word_end)
+                                # Start new word
+                                word_buffer = token_bytes
                                 word_start = token_start
-                            word_buffer += token_bytes
-                            word_end = token_end
-    
-                    # Add the last word
-                    append_word(word_buffer, word_start, word_end)
+                                word_end = token_end
+                            elif token_bytes.startswith(b", "):
+                                # Handle comma - save word with comma, then start new word
+                                word_buffer += b","
+                                append_word(word_buffer, word_start, word_end)
+                                word_buffer = token_bytes.lstrip(b",")
+                                word_start = token_start
+                                word_end = token_end
+                            else:
+                                # Accumulate token into current word
+                                if not word_buffer:
+                                    word_start = token_start
+                                word_buffer += token_bytes
+                                word_end = token_end
+
+                        # Add the last word
+                        append_word(word_buffer, word_start, word_end)
             else:
                 # Use segment-level timestamps
                 transcription = result.get("transcription", [])

buzz/transcriber/whisper_file_transcriber.py

@@ -5,6 +5,10 @@ import multiprocessing
 import re
 import os
 import sys
+
+# Preload CUDA libraries before importing torch - required for subprocess contexts
+from buzz import cuda_setup  # noqa: F401
+
 import torch
 import platform
 import subprocess
@@ -18,12 +22,13 @@ from PyQt6.QtCore import QObject
 
 from buzz import whisper_audio
 from buzz.conn import pipe_stderr
-from buzz.model_loader import ModelType, WhisperModelSize
-from buzz.transformers_whisper import TransformersWhisper
+from buzz.model_loader import ModelType, WhisperModelSize, map_language_to_mms
+from buzz.transformers_whisper import TransformersTranscriber
 from buzz.transcriber.file_transcriber import FileTranscriber
-from buzz.transcriber.transcriber import FileTranscriptionTask, Segment, Task
+from buzz.transcriber.transcriber import FileTranscriptionTask, Segment, Task, DEFAULT_WHISPER_TEMPERATURE
 from buzz.transcriber.whisper_cpp import WhisperCpp
 
+import av
 import faster_whisper
 import whisper
 import stable_whisper
@@ -32,6 +37,22 @@ from stable_whisper import WhisperResult
 PROGRESS_REGEX = re.compile(r"\d+(\.\d+)?%")
 
 
+def check_file_has_audio_stream(file_path: str) -> None:
+    """Check if a media file has at least one audio stream.
+
+    Raises:
+        ValueError: If the file has no audio streams.
+    """
+    try:
+        with av.open(file_path) as container:
+            if len(container.streams.audio) == 0:
+                raise ValueError("No audio streams found")
+    except av.error.InvalidDataError as e:
+        raise ValueError(f"Invalid media file: {e}")
+    except av.error.FileNotFoundError:
+        raise ValueError("File not found")
+
+
 class WhisperFileTranscriber(FileTranscriber):
     """WhisperFileTranscriber transcribes an audio file to text, writes the text to a file, and then opens the file
     using the default program for opening txt files."""
@@ -50,6 +71,7 @@ class WhisperFileTranscriber(FileTranscriber):
         self.stopped = False
         self.recv_pipe = None
         self.send_pipe = None
+        self.error_message = None
 
     def transcribe(self) -> List[Segment]:
         time_started = datetime.datetime.now()
@@ -72,10 +94,24 @@ class WhisperFileTranscriber(FileTranscriber):
         self.read_line_thread = Thread(target=self.read_line, args=(self.recv_pipe,))
         self.read_line_thread.start()
 
-        self.current_process.join()
+        # Only join the process if it was actually started
+        if self.started_process:
+            self.current_process.join()
 
-        if self.current_process.exitcode != 0:
-            self.send_pipe.close()
+        # Close the send pipe after process ends to signal read_line thread to stop
+        # This prevents the read thread from blocking on recv() after the process is gone
+        try:
+            if self.send_pipe and not self.send_pipe.closed:
+                self.send_pipe.close()
+        except OSError:
+            pass
+
+        # Close the receive pipe to unblock the read_line thread
+        try:
+            if self.recv_pipe and not self.recv_pipe.closed:
+                self.recv_pipe.close()
+        except OSError:
+            pass
 
         # Join read_line_thread with timeout to prevent hanging
         if self.read_line_thread and self.read_line_thread.is_alive():
@@ -94,7 +130,14 @@ class WhisperFileTranscriber(FileTranscriber):
         )
 
         if self.current_process.exitcode != 0:
-            raise Exception("Unknown error")
+            # Check if the process was terminated (likely due to cancellation)
+            # Exit codes 124-128 are often used for termination signals
+            if self.current_process.exitcode in [124, 125, 126, 127, 128, 130, 137, 143]:
+                # Process was likely terminated, treat as cancellation
+                logging.debug("Whisper process was terminated (exit code: %s), treating as cancellation", self.current_process.exitcode)
+                raise Exception("Transcription was canceled")
+            else:
+                raise Exception(self.error_message or "Unknown error")
 
         return self.segments
 
@@ -102,27 +145,67 @@ class WhisperFileTranscriber(FileTranscriber):
     def transcribe_whisper(
         cls, stderr_conn: Connection, task: FileTranscriptionTask
     ) -> None:
-        with pipe_stderr(stderr_conn):
-            if task.transcription_options.model.model_type == ModelType.WHISPER_CPP:
-                segments = cls.transcribe_whisper_cpp(task)
-            elif task.transcription_options.model.model_type == ModelType.HUGGING_FACE:
-                sys.stderr.write("0%\n")
-                segments = cls.transcribe_hugging_face(task)
-                sys.stderr.write("100%\n")
-            elif (
-                task.transcription_options.model.model_type == ModelType.FASTER_WHISPER
-            ):
-                segments = cls.transcribe_faster_whisper(task)
-            elif task.transcription_options.model.model_type == ModelType.WHISPER:
-                segments = cls.transcribe_openai_whisper(task)
-            else:
-                raise Exception(
-                    f"Invalid model type: {task.transcription_options.model.model_type}"
-                )
+        # Patch subprocess on Windows to prevent console window flash
+        # This is needed because multiprocessing spawns a new process without the main process patches
+        if sys.platform == "win32":
+            import subprocess
+            _original_run = subprocess.run
+            _original_popen = subprocess.Popen
 
-            segments_json = json.dumps(segments, ensure_ascii=True, default=vars)
-            sys.stderr.write(f"segments = {segments_json}\n")
-            sys.stderr.write(WhisperFileTranscriber.READ_LINE_THREAD_STOP_TOKEN + "\n")
+            def _patched_run(*args, **kwargs):
+                if 'startupinfo' not in kwargs:
+                    si = subprocess.STARTUPINFO()
+                    si.dwFlags |= subprocess.STARTF_USESHOWWINDOW
+                    si.wShowWindow = subprocess.SW_HIDE
+                    kwargs['startupinfo'] = si
+                if 'creationflags' not in kwargs:
+                    kwargs['creationflags'] = subprocess.CREATE_NO_WINDOW
+                return _original_run(*args, **kwargs)
+
+            class _PatchedPopen(subprocess.Popen):
+                def __init__(self, *args, **kwargs):
+                    if 'startupinfo' not in kwargs:
+                        si = subprocess.STARTUPINFO()
+                        si.dwFlags |= subprocess.STARTF_USESHOWWINDOW
+                        si.wShowWindow = subprocess.SW_HIDE
+                        kwargs['startupinfo'] = si
+                    if 'creationflags' not in kwargs:
+                        kwargs['creationflags'] = subprocess.CREATE_NO_WINDOW
+                    super().__init__(*args, **kwargs)
+
+            subprocess.run = _patched_run
+            subprocess.Popen = _PatchedPopen
+
+        try:
+            # Check if the file has audio streams before processing
+            check_file_has_audio_stream(task.file_path)
+
+            with pipe_stderr(stderr_conn):
+                if task.transcription_options.model.model_type == ModelType.WHISPER_CPP:
+                    segments = cls.transcribe_whisper_cpp(task)
+                elif task.transcription_options.model.model_type == ModelType.HUGGING_FACE:
+                    sys.stderr.write("0%\n")
+                    segments = cls.transcribe_hugging_face(task)
+                    sys.stderr.write("100%\n")
+                elif (
+                    task.transcription_options.model.model_type == ModelType.FASTER_WHISPER
+                ):
+                    segments = cls.transcribe_faster_whisper(task)
+                elif task.transcription_options.model.model_type == ModelType.WHISPER:
+                    segments = cls.transcribe_openai_whisper(task)
+                else:
+                    raise Exception(
+                        f"Invalid model type: {task.transcription_options.model.model_type}"
+                    )
+
+                segments_json = json.dumps(segments, ensure_ascii=True, default=vars)
+                sys.stderr.write(f"segments = {segments_json}\n")
+                sys.stderr.write(WhisperFileTranscriber.READ_LINE_THREAD_STOP_TOKEN + "\n")
+        except Exception as e:
+            # Send error message back to the parent process
+            stderr_conn.send(f"error = {str(e)}\n")
+            stderr_conn.send(WhisperFileTranscriber.READ_LINE_THREAD_STOP_TOKEN + "\n")
+            raise
 
     @classmethod
     def transcribe_whisper_cpp(cls, task: FileTranscriptionTask) -> List[Segment]:
@@ -130,17 +213,29 @@ class WhisperFileTranscriber(FileTranscriber):
 
     @classmethod
     def transcribe_hugging_face(cls, task: FileTranscriptionTask) -> List[Segment]:
-        model = TransformersWhisper(task.model_path)
-        language = (
-            task.transcription_options.language
-            if task.transcription_options.language is not None
-            else "en"
-        )
+        model = TransformersTranscriber(task.model_path)
+
+        # Handle language - MMS uses ISO 639-3 codes, Whisper uses ISO 639-1
+        if model.is_mms_model:
+            language = map_language_to_mms(task.transcription_options.language or "eng")
+            # MMS only supports transcription, ignore translation task
+            effective_task = Task.TRANSCRIBE.value
+            # MMS doesn't support word-level timestamps
+            word_timestamps = False
+        else:
+            language = (
+                task.transcription_options.language
+                if task.transcription_options.language is not None
+                else "en"
+            )
+            effective_task = task.transcription_options.task.value
+            word_timestamps = task.transcription_options.word_level_timings
+
         result = model.transcribe(
             audio=task.file_path,
             language=language,
-            task=task.transcription_options.task.value,
-            word_timestamps=task.transcription_options.word_level_timings,
+            task=effective_task,
+            word_timestamps=word_timestamps,
         )
         return [
             Segment(
@@ -176,10 +271,18 @@ class WhisperFileTranscriber(FileTranscriber):
         if force_cpu != "false":
             device = "cpu"
 
+        # Check if user wants reduced GPU memory usage (int8 quantization)
+        reduce_gpu_memory = os.getenv("BUZZ_REDUCE_GPU_MEMORY", "false") != "false"
+        compute_type = "default"
+        if reduce_gpu_memory:
+            compute_type = "int8" if device == "cpu" else "int8_float16"
+            logging.debug(f"Using {compute_type} compute type for reduced memory usage")
+
         model = faster_whisper.WhisperModel(
             model_size_or_path=model_size_or_path,
             download_root=model_root_dir,
             device=device,
+            compute_type=compute_type,
             cpu_threads=(os.cpu_count() or 8)//2,
         )
 
@@ -189,7 +292,7 @@ class WhisperFileTranscriber(FileTranscriber):
             language=task.transcription_options.language,
             task=task.transcription_options.task.value,
             # Prevent crash on Windows https://github.com/SYSTRAN/faster-whisper/issues/71#issuecomment-1526263764
-            temperature = 0 if platform.system() == "Windows" else task.transcription_options.temperature,
+            temperature = 0 if platform.system() == "Windows" else DEFAULT_WHISPER_TEMPERATURE,
             initial_prompt=task.transcription_options.initial_prompt,
             word_timestamps=task.transcription_options.word_level_timings,
             no_speech_threshold=0.4,
@@ -226,7 +329,19 @@ class WhisperFileTranscriber(FileTranscriber):
         use_cuda = torch.cuda.is_available() and force_cpu == "false"
 
         device = "cuda" if use_cuda else "cpu"
-        model = whisper.load_model(task.model_path, device=device)
+
+        # Monkeypatch torch.load to use weights_only=False for PyTorch 2.6+
+        # This is required for loading Whisper models with the newer PyTorch versions
+        original_torch_load = torch.load
+        def patched_torch_load(*args, **kwargs):
+            kwargs.setdefault('weights_only', False)
+            return original_torch_load(*args, **kwargs)
+
+        torch.load = patched_torch_load
+        try:
+            model = whisper.load_model(task.model_path, device=device)
+        finally:
+            torch.load = original_torch_load
 
         if task.transcription_options.word_level_timings:
             stable_whisper.modify_model(model)
@@ -234,9 +349,10 @@ class WhisperFileTranscriber(FileTranscriber):
                 audio=whisper_audio.load_audio(task.file_path),
                 language=task.transcription_options.language,
                 task=task.transcription_options.task.value,
-                temperature=task.transcription_options.temperature,
+                temperature=DEFAULT_WHISPER_TEMPERATURE,
                 initial_prompt=task.transcription_options.initial_prompt,
                 no_speech_threshold=0.4,
+                fp16=False,
             )
             return [
                 Segment(
@@ -256,6 +372,7 @@ class WhisperFileTranscriber(FileTranscriber):
             temperature=task.transcription_options.temperature,
             initial_prompt=task.transcription_options.initial_prompt,
             verbose=False,
+            fp16=False,
         )
         segments = result.get("segments")
         return [
@@ -273,27 +390,29 @@ class WhisperFileTranscriber(FileTranscriber):
 
         if self.started_process:
             self.current_process.terminate()
-            # Use timeout to avoid hanging indefinitely
-            self.current_process.join(timeout=5)
+
+            if self.read_line_thread and self.read_line_thread.is_alive():
+                self.read_line_thread.join(timeout=5)
+                if self.read_line_thread.is_alive():
+                    logging.warning("Read line thread still alive after 5s")
+
+            self.current_process.join(timeout=10)
             if self.current_process.is_alive():
                 logging.warning("Process didn't terminate gracefully, force killing")
                 self.current_process.kill()
-                self.current_process.join(timeout=2)
-            
-            # Close pipes to unblock the read_line thread
+                self.current_process.join(timeout=5)
+
             try:
-                if hasattr(self, 'send_pipe'):
+                if hasattr(self, 'send_pipe') and self.send_pipe:
                     self.send_pipe.close()
-                if hasattr(self, 'recv_pipe'):
+            except Exception as e:
+                logging.debug(f"Error closing send_pipe: {e}")
+
+            try:
+                if hasattr(self, 'recv_pipe') and self.recv_pipe:
                     self.recv_pipe.close()
             except Exception as e:
-                logging.debug(f"Error closing pipes: {e}")
-            
-            # Join read_line_thread with timeout to prevent hanging
-            if self.read_line_thread and self.read_line_thread.is_alive():
-                self.read_line_thread.join(timeout=3)
-                if self.read_line_thread.is_alive():
-                    logging.warning("Read line thread didn't terminate gracefully")
+                logging.debug(f"Error closing recv_pipe: {e}")
 
     def read_line(self, pipe: Connection):
         while True:
@@ -303,7 +422,8 @@ class WhisperFileTranscriber(FileTranscriber):
                 # Uncomment to debug
                 # print(f"*** DEBUG ***: {line}")
 
-            except (EOFError, BrokenPipeError, ConnectionResetError):  # Connection closed or broken
+            except (EOFError, BrokenPipeError, ConnectionResetError, OSError):
+                # Connection closed, broken, or process crashed (Windows RPC errors raise OSError)
                 break
             except Exception as e:
                 logging.debug(f"Error reading from pipe: {e}")
@@ -324,6 +444,8 @@ class WhisperFileTranscriber(FileTranscriber):
                     for segment in segments_dict
                 ]
                 self.segments = segments
+            elif line.startswith("error = "):
+                self.error_message = line[8:]
             else:
                 try:
                     match = PROGRESS_REGEX.search(line)

buzz/transformers_whisper.py

@@ -1,14 +1,32 @@
 import os
 import sys
+import logging
+import platform
 import numpy as np
+
+# Preload CUDA libraries before importing torch
+from buzz import cuda_setup  # noqa: F401
+
 import torch
 import requests
-from typing import Optional, Union
-from transformers import AutoModelForSpeechSeq2Seq, AutoProcessor, pipeline
+from typing import Union
+from transformers import AutoModelForSpeechSeq2Seq, AutoProcessor, pipeline, BitsAndBytesConfig
 from transformers.pipelines import AutomaticSpeechRecognitionPipeline
 from transformers.pipelines.audio_utils import ffmpeg_read
 from transformers.pipelines.automatic_speech_recognition import is_torchaudio_available
 
+from buzz.model_loader import is_mms_model, map_language_to_mms
+
+
+def is_intel_mac() -> bool:
+    """Check if running on Intel Mac (x86_64)."""
+    return sys.platform == 'darwin' and platform.machine() == 'x86_64'
+
+
+def is_peft_model(model_id: str) -> bool:
+    """Check if model is a PEFT model based on model ID containing '-peft'."""
+    return "-peft" in model_id.lower()
+
 
 class PipelineWithProgress(AutomaticSpeechRecognitionPipeline):  # pragma: no cover
     # Copy of transformers `AutomaticSpeechRecognitionPipeline.chunk_iter` method with custom progress output
@@ -162,11 +180,23 @@ class PipelineWithProgress(AutomaticSpeechRecognitionPipeline):  # pragma: no co
             yield {"is_last": True, **processed, **extra}
 
 
-class TransformersWhisper:
-    def __init__(
-        self, model_id: str
-    ):
+class TransformersTranscriber:
+    """Unified transcriber for HuggingFace models (Whisper and MMS)."""
+
+    def __init__(self, model_id: str):
         self.model_id = model_id
+        self._is_mms = is_mms_model(model_id)
+        self._is_peft = is_peft_model(model_id)
+
+    @property
+    def is_mms_model(self) -> bool:
+        """Returns True if this is an MMS model."""
+        return self._is_mms
+
+    @property
+    def is_peft_model(self) -> bool:
+        """Returns True if this is a PEFT model."""
+        return self._is_peft
 
     def transcribe(
         self,
@@ -175,39 +205,85 @@ class TransformersWhisper:
         task: str,
         word_timestamps: bool = False,
     ):
+        """Transcribe audio using either Whisper or MMS model."""
+        if self._is_mms:
+            return self._transcribe_mms(audio, language)
+        else:
+            return self._transcribe_whisper(audio, language, task, word_timestamps)
+
+    def _transcribe_whisper(
+        self,
+        audio: Union[str, np.ndarray],
+        language: str,
+        task: str,
+        word_timestamps: bool = False,
+    ):
+        """Transcribe using Whisper model."""
         force_cpu = os.getenv("BUZZ_FORCE_CPU", "false")
         use_cuda = torch.cuda.is_available() and force_cpu == "false"
         device = "cuda" if use_cuda else "cpu"
         torch_dtype = torch.float16 if use_cuda else torch.float32
 
-        use_safetensors = True
-        if os.path.exists(self.model_id):
-            safetensors_files = [f for f in os.listdir(self.model_id) if f.endswith(".safetensors")]
-            use_safetensors = len(safetensors_files) > 0
+        # Check if this is a PEFT model
+        if is_peft_model(self.model_id):
+            model, processor, use_8bit = self._load_peft_model(device, torch_dtype)
+        else:
+            use_safetensors = True
+            if os.path.isdir(self.model_id):
+                safetensors_files = [f for f in os.listdir(self.model_id) if f.endswith(".safetensors")]
+                use_safetensors = len(safetensors_files) > 0
 
-        model = AutoModelForSpeechSeq2Seq.from_pretrained(
-            self.model_id, torch_dtype=torch_dtype, low_cpu_mem_usage=True, use_safetensors=use_safetensors
-        )
+            # Check if user wants reduced GPU memory usage (8-bit quantization)
+            # Skip on Intel Macs as bitsandbytes is not available there
+            reduce_gpu_memory = os.getenv("BUZZ_REDUCE_GPU_MEMORY", "false") != "false"
+            use_8bit = False
+            if device == "cuda" and reduce_gpu_memory and not is_intel_mac():
+                try:
+                    import bitsandbytes  # noqa: F401
+                    use_8bit = True
+                    print("Using 8-bit quantization for reduced GPU memory usage")
+                except ImportError:
+                    print("bitsandbytes not available, using standard precision")
 
-        model.generation_config.language = language
-        model.to(device)
+            if use_8bit:
+                quantization_config = BitsAndBytesConfig(load_in_8bit=True)
+                model = AutoModelForSpeechSeq2Seq.from_pretrained(
+                    self.model_id,
+                    quantization_config=quantization_config,
+                    device_map="auto",
+                    use_safetensors=use_safetensors
+                )
+            else:
+                model = AutoModelForSpeechSeq2Seq.from_pretrained(
+                    self.model_id, torch_dtype=torch_dtype, low_cpu_mem_usage=True, use_safetensors=use_safetensors
+                )
+                model.to(device)
 
-        processor = AutoProcessor.from_pretrained(self.model_id)
+            model.generation_config.language = language
 
-        pipe = pipeline(
-            "automatic-speech-recognition",
-            pipeline_class=PipelineWithProgress,
-            generate_kwargs={"language": language, "task": task},
-            model=model,
-            tokenizer=processor.tokenizer,
-            feature_extractor=processor.feature_extractor,
+            processor = AutoProcessor.from_pretrained(self.model_id)
+
+        pipeline_kwargs = {
+            "task": "automatic-speech-recognition",
+            "pipeline_class": PipelineWithProgress,
+            "generate_kwargs": {
+                "language": language,
+                "task": task,
+                "no_repeat_ngram_size": 3,
+                "repetition_penalty": 1.2,
+            },
+            "model": model,
+            "tokenizer": processor.tokenizer,
+            "feature_extractor": processor.feature_extractor,
             # pipeline has built in chunking, works faster, but we loose progress output
             # needed for word level timestamps, otherwise there is huge RAM usage on longer audios
-            chunk_length_s=30 if word_timestamps else None,
-            torch_dtype=torch_dtype,
-            device=device,
-            ignore_warning=True  # Ignore warning about chunk_length_s being experimental for seq2seq models
-         )
+            "chunk_length_s": 30 if word_timestamps else None,
+            "torch_dtype": torch_dtype,
+            "ignore_warning": True,  # Ignore warning about chunk_length_s being experimental for seq2seq models
+        }
+        if not use_8bit:
+            pipeline_kwargs["device"] = device
+        pipe = pipeline(**pipeline_kwargs)
 
         transcript = pipe(
             audio,
@@ -238,3 +314,207 @@ class TransformersWhisper:
             "segments": segments,
         }
 
+    def _load_peft_model(self, device: str, torch_dtype):
+        """Load a PEFT (Parameter-Efficient Fine-Tuning) model.
+
+        PEFT models require loading the base model first, then applying the adapter.
+        The base model path is extracted from the PEFT config.
+
+        Returns:
+            Tuple of (model, processor, use_8bit)
+        """
+        from peft import PeftModel, PeftConfig
+        from transformers import WhisperForConditionalGeneration, WhisperFeatureExtractor, WhisperTokenizer
+
+        print(f"Loading PEFT model: {self.model_id}")
+
+        # Get the PEFT model ID (handle both local paths and repo IDs)
+        peft_model_id = self._get_peft_repo_id()
+
+        # Load PEFT config to get base model path
+        peft_config = PeftConfig.from_pretrained(peft_model_id)
+        base_model_path = peft_config.base_model_name_or_path
+        print(f"PEFT base model: {base_model_path}")
+
+        # Load the base Whisper model
+        # Use 8-bit quantization on CUDA if user enabled "Reduce GPU RAM" and bitsandbytes is available
+        # Skip on Intel Macs as bitsandbytes is not available there
+        reduce_gpu_memory = os.getenv("BUZZ_REDUCE_GPU_MEMORY", "false") != "false"
+        use_8bit = False
+        if device == "cuda" and reduce_gpu_memory and not is_intel_mac():
+            try:
+                import bitsandbytes  # noqa: F401
+                use_8bit = True
+                print("Using 8-bit quantization for reduced GPU memory usage")
+            except ImportError:
+                print("bitsandbytes not available, using standard precision for PEFT model")
+
+        if use_8bit:
+            quantization_config = BitsAndBytesConfig(load_in_8bit=True)
+            model = WhisperForConditionalGeneration.from_pretrained(
+                base_model_path,
+                quantization_config=quantization_config,
+                device_map="auto"
+            )
+        else:
+            model = WhisperForConditionalGeneration.from_pretrained(
+                base_model_path,
+                torch_dtype=torch_dtype,
+                low_cpu_mem_usage=True
+            )
+            model.to(device)
+
+        # Apply the PEFT adapter
+        model = PeftModel.from_pretrained(model, peft_model_id)
+        model.config.use_cache = True
+
+        # Load feature extractor and tokenizer from base model
+        feature_extractor = WhisperFeatureExtractor.from_pretrained(base_model_path)
+        tokenizer = WhisperTokenizer.from_pretrained(base_model_path, task="transcribe")
+
+        # Create a simple processor-like object that the pipeline expects
+        class PeftProcessor:
+            def __init__(self, feature_extractor, tokenizer):
+                self.feature_extractor = feature_extractor
+                self.tokenizer = tokenizer
+
+        processor = PeftProcessor(feature_extractor, tokenizer)
+
+        return model, processor, use_8bit
+
+    def _get_peft_repo_id(self) -> str:
+        """Extract HuggingFace repo ID from local cache path for PEFT models."""
+        model_id = self.model_id
+
+        # If it's already a repo ID (contains / but not a file path), return as-is
+        if "/" in model_id and not os.path.exists(model_id):
+            return model_id
+
+        # Extract repo ID from cache path
+        if "models--" in model_id:
+            parts = model_id.split("models--")
+            if len(parts) > 1:
+                repo_part = parts[1].split(os.sep + "snapshots")[0]
+                repo_id = repo_part.replace("--", "/", 1)
+                return repo_id
+
+        # Fallback: return as-is
+        return model_id
+
+    def _get_mms_repo_id(self) -> str:
+        """Extract HuggingFace repo ID from local cache path or return as-is if already a repo ID."""
+        model_id = self.model_id
+
+        # If it's already a repo ID (contains / but not a file path), return as-is
+        if "/" in model_id and not os.path.exists(model_id):
+            return model_id
+
+        # Extract repo ID from cache path like:
+        # Linux: /home/user/.cache/Buzz/models/models--facebook--mms-1b-all/snapshots/xxx
+        # Windows: C:\Users\user\.cache\Buzz\models\models--facebook--mms-1b-all\snapshots\xxx
+        if "models--" in model_id:
+            # Extract the part after "models--" and before "/snapshots" or "\snapshots"
+            parts = model_id.split("models--")
+            if len(parts) > 1:
+                # Split on os.sep to handle both Windows and Unix paths
+                repo_part = parts[1].split(os.sep + "snapshots")[0]
+                # Convert facebook--mms-1b-all to facebook/mms-1b-all
+                repo_id = repo_part.replace("--", "/", 1)
+                return repo_id
+
+        # Fallback: return as-is
+        return model_id
+
+    def _transcribe_mms(
+        self,
+        audio: Union[str, np.ndarray],
+        language: str,
+    ):
+        """Transcribe using MMS (Massively Multilingual Speech) model."""
+        from transformers import Wav2Vec2ForCTC, AutoProcessor as MMSAutoProcessor
+        from transformers.pipelines.audio_utils import ffmpeg_read as mms_ffmpeg_read
+
+        force_cpu = os.getenv("BUZZ_FORCE_CPU", "false")
+        use_cuda = torch.cuda.is_available() and force_cpu == "false"
+        device = "cuda" if use_cuda else "cpu"
+
+        # Map language code to ISO 639-3 for MMS
+        mms_language = map_language_to_mms(language)
+        print(f"MMS transcription with language: {mms_language} (original: {language})")
+
+        sys.stderr.write("0%\n")
+
+        # Use repo ID for MMS to allow adapter downloads
+        # Local paths don't work for adapter downloads
+        repo_id = self._get_mms_repo_id()
+        print(f"MMS using repo ID: {repo_id} (from model_id: {self.model_id})")
+
+        # Load processor and model with target language
+        # This will download the language adapter if not cached
+        processor = MMSAutoProcessor.from_pretrained(
+            repo_id,
+            target_lang=mms_language
+        )
+
+        model = Wav2Vec2ForCTC.from_pretrained(
+            repo_id,
+            target_lang=mms_language,
+            ignore_mismatched_sizes=True
+        )
+        model.to(device)
+
+        sys.stderr.write("25%\n")
+
+        # Load and process audio
+        if isinstance(audio, str):
+            with open(audio, "rb") as f:
+                audio_data = f.read()
+            audio_array = mms_ffmpeg_read(audio_data, processor.feature_extractor.sampling_rate)
+        else:
+            audio_array = audio
+
+        # Ensure audio is the right sample rate
+        sampling_rate = processor.feature_extractor.sampling_rate
+
+        sys.stderr.write("50%\n")
+
+        # Process audio in chunks for progress reporting
+        inputs = processor(
+            audio_array,
+            sampling_rate=sampling_rate,
+            return_tensors="pt",
+            padding=True
+        )
+        inputs = {k: v.to(device) for k, v in inputs.items()}
+
+        sys.stderr.write("75%\n")
+
+        # Run inference
+        with torch.no_grad():
+            outputs = model(**inputs).logits
+
+        # Decode
+        ids = torch.argmax(outputs, dim=-1)[0]
+        transcription = processor.decode(ids)
+
+        sys.stderr.write("100%\n")
+
+        # Calculate approximate duration for segment
+        duration = len(audio_array) / sampling_rate if isinstance(audio_array, np.ndarray) else 0
+
+        # Return in same format as Whisper for consistency
+        # MMS doesn't provide word-level timestamps, so we return a single segment
+        return {
+            "text": transcription,
+            "segments": [{
+                "start": 0,
+                "end": duration,
+                "text": transcription.strip(),
+                "translation": ""
+            }] if transcription.strip() else []
+        }
+
+
+# Alias for backward compatibility
+TransformersWhisper = TransformersTranscriber
+

buzz/translator.py

@@ -1,21 +1,25 @@
 import os
+import re
 import logging
 import queue
 
-from typing import Optional
-from openai import OpenAI
+from typing import Optional, List, Tuple
+from openai import OpenAI, max_retries
 from PyQt6.QtCore import QObject, pyqtSignal
 
+from buzz.locale import _
 from buzz.settings.settings import Settings
 from buzz.store.keyring_store import get_password, Key
 from buzz.transcriber.transcriber import TranscriptionOptions
 from buzz.widgets.transcriber.advanced_settings_dialog import AdvancedSettingsDialog
 
 
+BATCH_SIZE = 10
+
+
 class Translator(QObject):
     translation = pyqtSignal(str, int)
     finished = pyqtSignal()
-    is_running = False
 
     def __init__(
         self,
@@ -48,41 +52,137 @@ class Translator(QObject):
         )
         self.openai_client = OpenAI(
             api_key=openai_api_key,
-            base_url=custom_openai_base_url if custom_openai_base_url else None
+            base_url=custom_openai_base_url if custom_openai_base_url else None,
+            max_retries=0
         )
 
+    def _translate_single(self, transcript: str, transcript_id: int) -> Tuple[str, int]:
+        """Translate a single transcript via the API. Returns (translation, transcript_id)."""
+        try:
+            completion = self.openai_client.chat.completions.create(
+                model=self.transcription_options.llm_model,
+                messages=[
+                    {"role": "system", "content": self.transcription_options.llm_prompt},
+                    {"role": "user", "content": transcript}
+                ],
+                timeout=60.0,
+            )
+        except Exception as e:
+            completion = None
+            logging.error(f"Translation error! Server response: {e}")
+
+        if completion and completion.choices and completion.choices[0].message:
+            logging.debug(f"Received translation response: {completion}")
+            return completion.choices[0].message.content, transcript_id
+        else:
+            logging.error(f"Translation error! Server response: {completion}")
+            # Translation error
+            return "", transcript_id
+
+    def _translate_batch(self, items: List[Tuple[str, int]]) -> List[Tuple[str, int]]:
+        """Translate multiple transcripts in a single API call.
+        Returns list of (translation, transcript_id) in the same order as input."""
+        numbered_parts = []
+        for i, (transcript, _) in enumerate(items, 1):
+            numbered_parts.append(f"[{i}] {transcript}")
+        combined = "\n".join(numbered_parts)
+
+        batch_prompt = (
+            f"{self.transcription_options.llm_prompt}\n\n"
+            f"You will receive {len(items)} numbered texts. "
+            f"Process each one separately according to the instruction above "
+            f"and return them in the exact same numbered format, e.g.:\n"
+            f"[1] processed text\n[2] processed text"
+        )
+
+        try:
+            completion = self.openai_client.chat.completions.create(
+                model=self.transcription_options.llm_model,
+                messages=[
+                    {"role": "system", "content": batch_prompt},
+                    {"role": "user", "content": combined}
+                ],
+                timeout=60.0,
+            )
+        except Exception as e:
+            completion = None
+            logging.error(f"Batch translation error! Server response: {e}")
+
+        if not (completion and completion.choices and completion.choices[0].message):
+            logging.error(f"Batch translation error! Server response: {completion}")
+            # Translation error
+            return [("", tid) for _, tid in items]
+
+        response_text = completion.choices[0].message.content
+        logging.debug(f"Received batch translation response: {response_text}")
+
+        translations = self._parse_batch_response(response_text, len(items))
+
+        results = []
+        for i, (_, transcript_id) in enumerate(items):
+            if i < len(translations):
+                results.append((translations[i], transcript_id))
+            else:
+                # Translation error
+                results.append(("", transcript_id))
+        return results
+
+    @staticmethod
+    def _parse_batch_response(response: str, expected_count: int) -> List[str]:
+        """Parse a numbered batch response like '[1] text\\n[2] text' into a list of strings."""
+        # Split on [N] markers — re.split with a group returns: [before, group1, after1, group2, after2, ...]
+        parts = re.split(r'\[(\d+)\]\s*', response)
+
+        translations = {}
+        for i in range(1, len(parts) - 1, 2):
+            num = int(parts[i])
+            text = parts[i + 1].strip()
+            translations[num] = text
+
+        return [
+            translations.get(i, "")
+            for i in range(1, expected_count + 1)
+        ]
+
     def start(self):
         logging.debug("Starting translation queue")
 
-        self.is_running = True
+        while True:
+            item = self.queue.get()  # Block until item available
 
-        while self.is_running:
-            try:
-                transcript, transcript_id = self.queue.get(timeout=1)
-            except queue.Empty:
-                continue
+            # Check for sentinel value (None means stop)
+            if item is None:
+                logging.debug("Translation queue received stop signal")
+                break
 
-            try:
-                completion = self.openai_client.chat.completions.create(
-                    model=self.transcription_options.llm_model,
-                    messages=[
-                        {"role": "system", "content": self.transcription_options.llm_prompt},
-                        {"role": "user", "content": transcript}
-                    ]
-                )
-            except Exception as e:
-                completion = None
-                logging.error(f"Translation error! Server response: {e}")
+            # Collect a batch: start with the first item, then drain more
+            batch = [item]
+            stop_after_batch = False
+            while len(batch) < BATCH_SIZE:
+                try:
+                    next_item = self.queue.get_nowait()
+                    if next_item is None:
+                        stop_after_batch = True
+                        break
+                    batch.append(next_item)
+                except queue.Empty:
+                    break
 
-            if completion and completion.choices and completion.choices[0].message:
-                logging.debug(f"Received translation response: {completion}")
-                next_translation = completion.choices[0].message.content
+            if len(batch) == 1:
+                transcript, transcript_id = batch[0]
+                translation, tid = self._translate_single(transcript, transcript_id)
+                self.translation.emit(translation, tid)
             else:
-                logging.error(f"Translation error! Server response: {completion}")
-                next_translation = "Translation error, see logs!"
+                logging.debug(f"Translating batch of {len(batch)} in single request")
+                results = self._translate_batch(batch)
+                for translation, tid in results:
+                    self.translation.emit(translation, tid)
 
-            self.translation.emit(next_translation, transcript_id)
+            if stop_after_batch:
+                logging.debug("Translation queue received stop signal")
+                break
 
+        logging.debug("Translation queue stopped")
         self.finished.emit()
 
     def on_transcription_options_changed(
@@ -94,4 +194,5 @@ class Translator(QObject):
         self.queue.put((transcript, transcript_id))
 
     def stop(self):
-        self.is_running = False
+        # Send sentinel value to unblock and stop the worker thread
+        self.queue.put(None)

buzz/update_checker.py

@@ -0,0 +1,163 @@
+import json
+import logging
+import platform
+from datetime import datetime
+from typing import Optional
+from dataclasses import dataclass
+
+from PyQt6.QtCore import QObject, pyqtSignal, QUrl
+from PyQt6.QtNetwork import QNetworkAccessManager, QNetworkRequest, QNetworkReply
+from buzz.__version__ import VERSION
+from buzz.settings.settings import Settings
+
+
+@dataclass
+class UpdateInfo:
+    version: str
+    release_notes: str
+    download_urls: list
+
+class UpdateChecker(QObject):
+    update_available = pyqtSignal(object)
+
+    VERSION_JSON_URL = "https://github.com/chidiwilliams/buzz/releases/latest/download/version_info.json"
+
+    CHECK_INTERVAL_DAYS = 7
+
+    def __init__(
+        self,
+        settings: Settings,
+        network_manager: Optional[QNetworkAccessManager] = None,
+        parent: Optional[QObject] = None
+    ):
+        super().__init__(parent)
+
+        self.settings = settings
+
+        if network_manager is None:
+            network_manager = QNetworkAccessManager(self)
+        self.network_manager = network_manager
+        self.network_manager.finished.connect(self._on_reply_finished)
+
+    def should_check_for_updates(self) -> bool:
+        """Check if we are on Windows/macOS and if 7 days passed"""
+        system = platform.system()
+        if system not in ("Windows", "Darwin"):
+            logging.debug("Skipping update check on linux")
+            return False
+
+        last_check = self.settings.value(
+            Settings.Key.LAST_UPDATE_CHECK,
+            "",
+        )
+
+        if last_check:
+            try:
+                last_check_date = datetime.fromisoformat(last_check)
+                days_since_check = (datetime.now() - last_check_date).days
+                if days_since_check < self.CHECK_INTERVAL_DAYS:
+                    logging.debug(
+                        f"Skipping update check, last checked {days_since_check} days ago"
+                    )
+                    return False
+            except ValueError:
+                #Invalid date format
+                pass
+
+        return True
+
+    def check_for_updates(self) -> None:
+        """Start the network request"""
+        if not self.should_check_for_updates():
+            return
+
+        logging.info("Checking for updates...")
+
+        url = QUrl(self.VERSION_JSON_URL)
+        request = QNetworkRequest(url)
+        self.network_manager.get(request)
+
+    def _on_reply_finished(self, reply: QNetworkReply) -> None:
+        """Handles the network reply for version.json fetch"""
+        self.settings.set_value(
+            Settings.Key.LAST_UPDATE_CHECK,
+            datetime.now().isoformat()
+        )
+
+        if reply.error() != QNetworkReply.NetworkError.NoError:
+            error_msg = f"Failed to check for updates: {reply.errorString()}"
+            logging.error(error_msg)
+            reply.deleteLater()
+            return
+
+        try:
+            data = json.loads(reply.readAll().data().decode("utf-8"))
+            reply.deleteLater()
+
+            remote_version = data.get("version", "")
+            release_notes = data.get("release_notes", "")
+            download_urls = data.get("download_urls", {})
+
+            #Get the download url for current platform
+            download_url = self._get_download_url(download_urls)
+
+            if self._is_newer_version(remote_version):
+                logging.info(f"Update available: {remote_version}")
+
+                #Store the available version
+                self.settings.set_value(
+                    Settings.Key.UPDATE_AVAILABLE_VERSION,
+                    remote_version
+                )
+
+                update_info = UpdateInfo(
+                    version=remote_version,
+                    release_notes=release_notes,
+                    download_urls=download_url
+                )
+                self.update_available.emit(update_info)
+
+            else:
+                logging.info("No update available")
+                self.settings.set_value(
+                    Settings.Key.UPDATE_AVAILABLE_VERSION,
+                    ""
+                )
+
+        except (json.JSONDecodeError, KeyError) as e:
+            error_msg = f"Failed to parse version info: {e}"
+            logging.error(error_msg)
+
+    def _get_download_url(self, download_urls: dict) -> list:
+        system = platform.system()
+        machine = platform.machine().lower()
+
+        if system == "Windows":
+            urls = download_urls.get("windows_x64", [])
+        elif system == "Darwin":
+            if machine in ("arm64", "aarch64"):
+                urls = download_urls.get("macos_arm", [])
+            else:
+                urls = download_urls.get("macos_x86", [])
+        else:
+            urls = []
+
+        return urls if isinstance(urls, list) else [urls]
+
+    def _is_newer_version(self, remote_version: str) -> bool:
+        """Compare remote version with current version"""
+        try:
+            current_parts = [int(x) for x in VERSION.split(".")]
+            remote_parts = [int(x) for x in remote_version.split(".")]
+
+            #pad with zeros if needed
+            while len(current_parts) < len(remote_parts):
+                current_parts.append(0)
+            while len(remote_parts) < len(current_parts):
+                remote_parts.append(0)
+
+            return remote_parts > current_parts
+
+        except ValueError:
+            logging.error(f"Invalid version format: {VERSION} or {remote_version}")
+            return False

buzz/widgets/about_dialog.py

@@ -1,5 +1,6 @@
 import json
 from typing import Optional
+from platformdirs import user_log_dir
 
 from PyQt6 import QtGui
 from PyQt6.QtCore import Qt, QUrl
@@ -80,6 +81,9 @@ class AboutDialog(QDialog):
         self.check_updates_button = QPushButton(_("Check for updates"), self)
         self.check_updates_button.clicked.connect(self.on_click_check_for_updates)
 
+        self.show_logs_button = QPushButton(_("Show logs"), self)
+        self.show_logs_button.clicked.connect(self.on_click_show_logs)
+
         button_box = QDialogButtonBox(
             QDialogButtonBox.StandardButton(QDialogButtonBox.StandardButton.Close), self
         )
@@ -90,15 +94,21 @@ class AboutDialog(QDialog):
         layout.addWidget(buzz_label)
         layout.addWidget(version_label)
         layout.addWidget(self.check_updates_button)
+        layout.addWidget(self.show_logs_button)
         layout.addWidget(button_box)
 
         self.setLayout(layout)
+        self.setMinimumWidth(350)
 
     def on_click_check_for_updates(self):
         url = QUrl(self.GITHUB_API_LATEST_RELEASE_URL)
         self.network_access_manager.get(QNetworkRequest(url))
         self.check_updates_button.setDisabled(True)
 
+    def on_click_show_logs(self):
+        log_dir = user_log_dir(appname="Buzz")
+        QDesktopServices.openUrl(QUrl.fromLocalFile(log_dir))
+
     def on_latest_release_reply(self, reply: QNetworkReply):
         if reply.error() == QNetworkReply.NetworkError.NoError:
             response = json.loads(reply.readAll().data())

buzz/widgets/application.py

@@ -34,11 +34,13 @@ class Application(QApplication):
 
         if darkdetect.isDark():
             self.styleHints().setColorScheme(Qt.ColorScheme.Dark)
+            self.setStyleSheet("QCheckBox::indicator:unchecked { border: 1px solid white; }")
 
         if sys.platform.startswith("win"):
             self.setStyle(QStyleFactory.create("Fusion"))
 
         self.settings = Settings()
+        logging.debug(f"Settings filename: {self.settings.settings.fileName()}")
         
         # Set BUZZ_FORCE_CPU environment variable if Force CPU setting is enabled
         force_cpu_enabled = self.settings.value(
@@ -46,6 +48,13 @@ class Application(QApplication):
         )
         if force_cpu_enabled:
             os.environ["BUZZ_FORCE_CPU"] = "true"
+
+        # Set BUZZ_REDUCE_GPU_MEMORY environment variable if Reduce GPU RAM setting is enabled
+        reduce_gpu_memory_enabled = self.settings.value(
+            key=Settings.Key.REDUCE_GPU_MEMORY, default_value=False
+        )
+        if reduce_gpu_memory_enabled:
+            os.environ["BUZZ_REDUCE_GPU_MEMORY"] = "true"
         
         font_size = self.settings.value(
             key=Settings.Key.FONT_SIZE, default_value=self.font().pointSize()
@@ -56,9 +65,9 @@ class Application(QApplication):
         else:
             self.setFont(QFont(self.font().family(), font_size))
 
-        db = setup_app_db()
+        self.db = setup_app_db()
         transcription_service = TranscriptionService(
-            TranscriptionDAO(db), TranscriptionSegmentDAO(db)
+            TranscriptionDAO(self.db), TranscriptionSegmentDAO(self.db)
         )
 
         self.window = MainWindow(transcription_service)
@@ -91,3 +100,7 @@ class Application(QApplication):
     def add_task(self, task: FileTranscriptionTask, quit_on_complete: bool = False):
         self.window.quit_on_complete = quit_on_complete
         self.window.add_task(task)
+
+    def close_database(self):
+        from buzz.db.db import close_app_db
+        close_app_db()

buzz/widgets/audio_meter_widget.py

@@ -1,10 +1,12 @@
 from typing import Optional
 
 from PyQt6 import QtGui
-from PyQt6.QtCore import Qt
+from PyQt6.QtCore import Qt, QRect
 from PyQt6.QtGui import QColor, QPainter
 from PyQt6.QtWidgets import QWidget
 
+from buzz.locale import _
+
 
 class AudioMeterWidget(QWidget):
     current_amplitude: float
@@ -20,13 +22,17 @@ class AudioMeterWidget(QWidget):
     def __init__(self, parent: Optional[QWidget] = None):
         super().__init__(parent)
         self.setMinimumWidth(10)
-        self.setFixedHeight(16)
+        self.setFixedHeight(56)
 
+        self.BARS_HEIGHT = 28
         # Extra padding to fix layout
-        self.PADDING_TOP = 3
+        self.PADDING_TOP = 14
 
         self.current_amplitude = 0.0
 
+        self.average_amplitude = 0.0
+        self.queue_size = 0
+
         self.MINIMUM_AMPLITUDE = 0.00005  # minimum amplitude to show the first bar
         self.AMPLITUDE_SCALE_FACTOR = 10  # scale the amplitudes such that 1/AMPLITUDE_SCALE_FACTOR will show all bars
 
@@ -58,18 +64,39 @@ class AudioMeterWidget(QWidget):
                 center_x - ((i + 1) * (self.BAR_MARGIN + self.BAR_WIDTH)),
                 rect.top() + self.PADDING_TOP,
                 self.BAR_WIDTH,
-                rect.height() - self.PADDING_TOP,
+                self.BARS_HEIGHT - self.PADDING_TOP,
             )
             # draw to right
             painter.drawRect(
                 center_x + (self.BAR_MARGIN + (i * (self.BAR_MARGIN + self.BAR_WIDTH))),
                 rect.top() + self.PADDING_TOP,
                 self.BAR_WIDTH,
-                rect.height() - self.PADDING_TOP,
+                self.BARS_HEIGHT - self.PADDING_TOP,
             )
 
+        text_rect = QRect(rect.left(), self.BARS_HEIGHT, rect.width(), rect.height() - self.BARS_HEIGHT)
+        painter.setPen(self.BAR_ACTIVE_COLOR)
+        average_volume_label = _("Average volume")
+        queue_label = _("Queue")
+        painter.drawText(text_rect, Qt.AlignmentFlag.AlignCenter,
+                         f"{average_volume_label}: {self.average_amplitude:.4f}  {queue_label}: {self.queue_size}")
+
+    def reset_amplitude(self):
+        self.current_amplitude = 0.0
+        self.average_amplitude = 0.0
+        self.queue_size = 0
+        self.repaint()
+
     def update_amplitude(self, amplitude: float):
         self.current_amplitude = max(
             amplitude, self.current_amplitude * self.SMOOTHING_FACTOR
         )
-        self.repaint()
+        self.update()
+
+    def update_average_amplitude(self, amplitude: float):
+        self.average_amplitude = amplitude
+        self.update()
+
+    def update_queue_size(self, size: int):
+        self.queue_size = size
+        self.update()

buzz/widgets/audio_player.py

@@ -3,11 +3,12 @@ from typing import Tuple, Optional
 
 from PyQt6 import QtGui
 from PyQt6.QtCore import QTime, QUrl, Qt, pyqtSignal
-from PyQt6.QtMultimedia import QAudioOutput, QMediaPlayer
-from PyQt6.QtWidgets import QWidget, QSlider, QPushButton, QLabel, QHBoxLayout
+from PyQt6.QtMultimedia import QAudioOutput, QMediaPlayer, QMediaDevices
+from PyQt6.QtWidgets import QWidget, QSlider, QPushButton, QLabel, QHBoxLayout, QVBoxLayout
 
 from buzz.widgets.icon import PlayIcon, PauseIcon
 from buzz.settings.settings import Settings
+from buzz.transcriber.file_transcriber import is_video_file
 
 
 class AudioPlayer(QWidget):
@@ -21,17 +22,37 @@ class AudioPlayer(QWidget):
         self.duration_ms = 0
         self.invalid_media = None
         self.is_looping = False  # Flag to prevent recursive position changes
+        self.is_slider_dragging = False # Flag to track if use is dragging slider
 
         # Initialize settings
         self.settings = Settings()
 
+        self.is_video = is_video_file(file_path)
+
         self.audio_output = QAudioOutput()
         self.audio_output.setVolume(100)
 
+        # Log audio device info for debugging
+        default_device = QMediaDevices.defaultAudioOutput()
+        if default_device.isNull():
+            logging.warning("No default audio output device found!")
+        else:
+            logging.info(f"Audio output device: {default_device.description()}")
+
+        audio_outputs = QMediaDevices.audioOutputs()
+        logging.info(f"Available audio outputs: {[d.description() for d in audio_outputs]}")
+
         self.media_player = QMediaPlayer()
         self.media_player.setSource(QUrl.fromLocalFile(file_path))
         self.media_player.setAudioOutput(self.audio_output)
 
+        if self.is_video:
+            from PyQt6.QtMultimediaWidgets import QVideoWidget
+            self.video_widget = QVideoWidget(self)
+            self.media_player.setVideoOutput(self.video_widget)
+        else:
+            self.video_widget = None
+
         # Speed control moved to transcription viewer - just set default rate
         saved_rate = self.settings.value(Settings.Key.AUDIO_PLAYBACK_RATE, 1.0, float)
         saved_rate = max(0.1, min(5.0, saved_rate))  # Ensure valid range
@@ -40,6 +61,11 @@ class AudioPlayer(QWidget):
         self.scrubber = QSlider(Qt.Orientation.Horizontal)
         self.scrubber.setRange(0, 0)
         self.scrubber.sliderMoved.connect(self.on_slider_moved)
+        self.scrubber.sliderPressed.connect(self.on_slider_pressed)
+        self.scrubber.sliderReleased.connect(self.on_slider_released)
+
+        # Track if user is dragging the slider
+        self.is_slider_dragging = False
 
         self.play_icon = PlayIcon(self)
         self.pause_icon = PauseIcon(self)
@@ -54,10 +80,23 @@ class AudioPlayer(QWidget):
         self.time_label.setAlignment(Qt.AlignmentFlag.AlignRight)
 
         # Create main layout - simplified without speed controls
-        main_layout = QHBoxLayout()
-        main_layout.addWidget(self.play_button, alignment=Qt.AlignmentFlag.AlignVCenter)
-        main_layout.addWidget(self.scrubber, alignment=Qt.AlignmentFlag.AlignVCenter)
-        main_layout.addWidget(self.time_label, alignment=Qt.AlignmentFlag.AlignVCenter)
+        if self.is_video:
+            #Vertical layout for video
+            main_layout = QVBoxLayout()
+            main_layout.addWidget(self.video_widget, stretch=1) # As video takes more space
+
+            controls_layout = QHBoxLayout()
+            controls_layout.addWidget(self.play_button, alignment=Qt.AlignmentFlag.AlignVCenter)
+            controls_layout.addWidget(self.scrubber, alignment=Qt.AlignmentFlag.AlignVCenter)
+            controls_layout.addWidget(self.time_label, alignment=Qt.AlignmentFlag.AlignVCenter)
+
+            main_layout.addLayout(controls_layout)
+        else:
+            # Horizontal layout for audio only
+            main_layout = QHBoxLayout()
+            main_layout.addWidget(self.play_button, alignment=Qt.AlignmentFlag.AlignVCenter)
+            main_layout.addWidget(self.scrubber, alignment=Qt.AlignmentFlag.AlignVCenter)
+            main_layout.addWidget(self.time_label, alignment=Qt.AlignmentFlag.AlignVCenter)
 
         self.setLayout(main_layout)
 
@@ -66,6 +105,7 @@ class AudioPlayer(QWidget):
         self.media_player.positionChanged.connect(self.on_position_changed)
         self.media_player.playbackStateChanged.connect(self.on_playback_state_changed)
         self.media_player.mediaStatusChanged.connect(self.on_media_status_changed)
+        self.media_player.errorOccurred.connect(self.on_error_occurred)
 
         self.on_duration_changed(self.media_player.duration())
 
@@ -75,7 +115,12 @@ class AudioPlayer(QWidget):
         self.update_time_label()
 
     def on_position_changed(self, position_ms: int):
-        self.scrubber.setValue(position_ms)
+        # Don't update slider if user is currently dragging it
+        if not self.is_slider_dragging:
+            self.scrubber.blockSignals(True)
+            self.scrubber.setValue(position_ms)
+            self.scrubber.blockSignals(False)
+
         self.position_ms = position_ms
         self.position_ms_changed.emit(self.position_ms)
         self.update_time_label()
@@ -99,12 +144,16 @@ class AudioPlayer(QWidget):
             self.play_button.setIcon(self.play_icon)
 
     def on_media_status_changed(self, status: QMediaPlayer.MediaStatus):
+        logging.debug(f"Media status changed: {status}")
         match status:
             case QMediaPlayer.MediaStatus.InvalidMedia:
                 self.set_invalid_media(True)
             case QMediaPlayer.MediaStatus.LoadedMedia:
                 self.set_invalid_media(False)
 
+    def on_error_occurred(self, error: QMediaPlayer.Error, error_string: str):
+        logging.error(f"Media player error: {error} - {error_string}")
+
     def set_invalid_media(self, invalid_media: bool):
         self.invalid_media = invalid_media
         if self.invalid_media:
@@ -150,6 +199,16 @@ class AudioPlayer(QWidget):
             if position_ms < (start_range_ms - 2000) or position_ms > (end_range_ms + 2000):
                 self.range_ms = None
 
+    def on_slider_pressed(self):
+        """Called when the user starts dragging the slider"""
+        self.is_slider_dragging = True
+
+    def on_slider_released(self):
+        """Called when user releases the slider"""
+        self.is_slider_dragging = False
+        # Update the position where user released
+        self.set_position(self.scrubber.value())
+
     def set_position(self, position_ms: int):
         self.media_player.setPosition(position_ms)
 

buzz/widgets/icon.py

@@ -82,6 +82,10 @@ class ResizeIcon(Icon):
     def __init__(self, parent: QWidget):
         super().__init__(get_path("assets/resize_black.svg"), parent)
 
+class SpeakerIdentificationIcon(Icon):
+    def __init__(self, parent: QWidget):
+        super().__init__(get_path("assets/speaker-identification.svg"), parent)
+
 class VisibilityIcon(Icon):
     def __init__(self, parent: QWidget):
         super().__init__(
@@ -95,6 +99,25 @@ class ScrollToCurrentIcon(Icon):
             get_path("assets/visibility_FILL0_wght700_GRAD0_opsz48.svg"), parent
         )
 
+class NewWindowIcon(Icon):
+    def __init__(self, parent: QWidget):
+        super().__init__(get_path("assets/icons/new-window.svg"), parent)
+
+
+class FullscreenIcon(Icon):
+    def __init__(self, parent: QWidget):
+        super().__init__(get_path("assets/icons/fullscreen.svg"), parent)
+
+
+class ColorBackgroundIcon(Icon):
+    def __init__(self, parent: QWidget):
+        super().__init__(get_path("assets/icons/color-background.svg"), parent)
+
+
+class TextColorIcon(Icon):
+    def __init__(self, parent: QWidget):
+        super().__init__(get_path("assets/icons/gui-text-color.svg"), parent)
+
 
 BUZZ_ICON_PATH = get_path("assets/buzz.ico")
 BUZZ_LARGE_ICON_PATH = get_path("assets/buzz-icon-1024.png")
@@ -106,3 +129,4 @@ ADD_ICON_PATH = get_path("assets/add_FILL0_wght700_GRAD0_opsz48.svg")
 URL_ICON_PATH = get_path("assets/url.svg")
 TRASH_ICON_PATH = get_path("assets/delete_FILL0_wght700_GRAD0_opsz48.svg")
 CANCEL_ICON_PATH = get_path("assets/cancel_FILL0_wght700_GRAD0_opsz48.svg")
+UPDATE_ICON_PATH = get_path("assets/update_FILL0_wght700_GRAD0_opsz48.svg")

buzz/widgets/icon_presentation.py

@@ -0,0 +1,60 @@
+from PyQt6.QtGui import QIcon, QPixmap, QPainter, QPalette
+from PyQt6.QtCore import QSize
+from PyQt6.QtSvg import QSvgRenderer
+import os
+from buzz.assets import APP_BASE_DIR
+
+class PresentationIcon:
+    "Icons for presentation window controls"
+    def __init__(self, parent, svg_path: str, color: str = None):
+        self.parent = parent
+        self.svg_path = svg_path
+        self.color = color or self.get_default_color()
+
+
+    def get_default_color(self) -> str:
+        """Get default icon color based on theme"""
+        palette = self.parent.palette()
+        is_dark = palette.window().color().black() > 127
+
+        return "#EEE" if is_dark else "#555"
+
+    def get_icon(self) -> QIcon:
+        """Load SVG icon and return as QIcon"""
+        #Load from asset first
+        full_path = os.path.join(APP_BASE_DIR, "assets", "icons", os.path.basename(self.svg_path))
+
+        if not os.path.exists(full_path):
+            pixmap = QPixmap(24, 24)
+            pixmap.fill(self.color)
+
+            return QIcon(pixmap)
+
+        #Load SVG
+        renderer = QSvgRenderer(full_path)
+        pixmap = QPixmap(24, 24)
+        pixmap.fill(Qt.GlobalColor.transparent)
+        painter = QPainter(pixmap)
+        renderer.render(painter)
+        painter.end()
+
+        return QIcon(pixmap)
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+

buzz/widgets/main_window.py

@@ -1,6 +1,5 @@
 import os
 import logging
-import keyring
 from typing import Tuple, List, Optional
 from uuid import UUID
 
@@ -25,6 +24,8 @@ from buzz.db.service.transcription_service import TranscriptionService
 from buzz.file_transcriber_queue_worker import FileTranscriberQueueWorker
 from buzz.locale import _
 from buzz.settings.settings import APP_NAME, Settings
+from buzz.update_checker import UpdateChecker, UpdateInfo
+from buzz.widgets.update_dialog import UpdateDialog
 from buzz.settings.shortcuts import Shortcuts
 from buzz.store.keyring_store import set_password, Key
 from buzz.transcriber.transcriber import (
@@ -38,11 +39,11 @@ from buzz.widgets.icon import BUZZ_ICON_PATH
 from buzz.widgets.import_url_dialog import ImportURLDialog
 from buzz.widgets.main_window_toolbar import MainWindowToolbar
 from buzz.widgets.menu_bar import MenuBar
-from buzz.widgets.snap_notice import SnapNotice
 from buzz.widgets.preferences_dialog.models.preferences import Preferences
 from buzz.widgets.transcriber.file_transcriber_widget import FileTranscriberWidget
 from buzz.widgets.transcription_task_folder_watcher import (
     TranscriptionTaskFolderWatcher,
+    SUPPORTED_EXTENSIONS,
 )
 from buzz.widgets.transcription_tasks_table_widget import (
     TranscriptionTasksTableWidget,
@@ -71,6 +72,9 @@ class MainWindow(QMainWindow):
         self.quit_on_complete = False
         self.transcription_service = transcription_service
 
+        #update checker
+        self._update_info: Optional[UpdateInfo] = None
+
         self.toolbar = MainWindowToolbar(shortcuts=self.shortcuts, parent=self)
         self.toolbar.new_transcription_action_triggered.connect(
             self.on_new_transcription_action_triggered
@@ -88,6 +92,7 @@ class MainWindow(QMainWindow):
             self.on_stop_transcription_action_triggered
         )
         self.addToolBar(self.toolbar)
+        self.toolbar.update_action_triggered.connect(self.on_update_action_triggered)
         self.setUnifiedTitleAndToolBarOnMac(True)
 
         self.preferences = self.load_preferences(settings=self.settings)
@@ -102,6 +107,9 @@ class MainWindow(QMainWindow):
         self.menu_bar.import_url_action_triggered.connect(
             self.on_new_url_transcription_action_triggered
         )
+        self.menu_bar.import_folder_action_triggered.connect(
+            self.on_import_folder_action_triggered
+        )
         self.menu_bar.shortcuts_changed.connect(self.on_shortcuts_changed)
         self.menu_bar.openai_api_key_changed.connect(
             self.on_openai_access_token_changed
@@ -110,8 +118,10 @@ class MainWindow(QMainWindow):
         self.setMenuBar(self.menu_bar)
 
         self.table_widget = TranscriptionTasksTableWidget(self)
+        self.table_widget.transcription_service = self.transcription_service
         self.table_widget.doubleClicked.connect(self.on_table_double_clicked)
         self.table_widget.return_clicked.connect(self.open_transcript_viewer)
+        self.table_widget.delete_requested.connect(self.on_clear_history_action_triggered)
         self.table_widget.selectionModel().selectionChanged.connect(
             self.on_table_selection_changed
         )
@@ -152,18 +162,8 @@ class MainWindow(QMainWindow):
 
         self.transcription_viewer_widget = None
 
-        # TODO Move this to the first user interaction with OpenAI api Key field
-        #  that is the only place that needs access to password manager service
-        if os.environ.get('SNAP_NAME', '') == 'buzz':
-            logging.debug("Running in a snap environment")
-            self.check_linux_permissions()
-
-    def check_linux_permissions(self):
-        try:
-            _ = keyring.get_password(APP_NAME, username="random")
-        except Exception:
-            snap_notice = SnapNotice(self)
-            snap_notice.show()
+        #Initialize and run update checker
+        self._init_update_checker()
 
     def on_preferences_changed(self, preferences: Preferences):
         self.preferences = preferences
@@ -268,6 +268,20 @@ class MainWindow(QMainWindow):
         if url is not None:
             self.open_file_transcriber_widget(url=url)
 
+    def on_import_folder_action_triggered(self):
+        folder = QFileDialog.getExistingDirectory(self, _("Select folder"))
+        if not folder:
+            return
+        file_paths = []
+        for dirpath, _dirs, filenames in os.walk(folder):
+            for filename in filenames:
+                ext = os.path.splitext(filename)[1].lower()
+                if ext in SUPPORTED_EXTENSIONS:
+                    file_paths.append(os.path.join(dirpath, filename))
+        if not file_paths:
+            return
+        self.open_file_transcriber_widget(file_paths)
+
     def open_file_transcriber_widget(
         self, file_paths: Optional[List[str]] = None, url: Optional[str] = None
     ):
@@ -397,6 +411,14 @@ class MainWindow(QMainWindow):
         pass
 
     def on_task_completed(self, task: FileTranscriptionTask, segments: List[Segment]):
+        # Update file path in database only for URL imports where file is downloaded
+        if task.source == FileTranscriptionTask.Source.URL_IMPORT and task.file_path:
+            logging.debug(f"Updating transcription file path: {task.file_path}")
+            # Use the file basename (video title) as the display name
+            basename = os.path.basename(task.file_path)
+            name = os.path.splitext(basename)[0]  # Remove .wav extension
+            self.transcription_service.update_transcription_file_and_name(task.uid, task.file_path, name)
+
         self.transcription_service.update_transcription_as_completed(task.uid, segments)
         self.table_widget.refresh_row(task.uid)
 
@@ -422,15 +444,47 @@ class MainWindow(QMainWindow):
 
     def closeEvent(self, event: QtGui.QCloseEvent) -> None:
         self.save_geometry()
+        self.settings.settings.sync()
+
+        if self.folder_watcher:
+            try:
+                self.folder_watcher.task_found.disconnect()
+                if len(self.folder_watcher.directories()) > 0:
+                    self.folder_watcher.removePaths(self.folder_watcher.directories())
+            except Exception as e:
+                logging.warning(f"Error cleaning up folder watcher: {e}")
+
+        try:
+            self.transcriber_worker.task_started.disconnect()
+            self.transcriber_worker.task_progress.disconnect()
+            self.transcriber_worker.task_download_progress.disconnect()
+            self.transcriber_worker.task_error.disconnect()
+            self.transcriber_worker.task_completed.disconnect()
+        except Exception as e:
+            logging.warning(f"Error disconnecting signals: {e}")
 
         self.transcriber_worker.stop()
         self.transcriber_thread.quit()
-        self.transcriber_thread.wait()
+
+        if self.transcriber_thread.isRunning():
+            if not self.transcriber_thread.wait(10000):
+                logging.warning("Transcriber thread did not finish within 10s timeout, terminating")
+                self.transcriber_thread.terminate()
+                if not self.transcriber_thread.wait(2000):
+                    logging.error("Transcriber thread could not be terminated")
 
         if self.transcription_viewer_widget is not None:
             self.transcription_viewer_widget.close()
 
-        logging.debug("Closing MainWindow")
+        try:
+            from buzz.widgets.application import Application
+            app = Application.instance()
+            if app and hasattr(app, 'close_database'):
+                app.close_database()
+        except Exception as e:
+            logging.warning(f"Error closing database: {e}")
+
+        logging.debug("MainWindow closeEvent completed")
 
         super().closeEvent(event)
 
@@ -448,3 +502,27 @@ class MainWindow(QMainWindow):
             self.setBaseSize(1240, 600)
             self.resize(1240, 600)
         self.settings.end_group()
+
+    def _init_update_checker(self):
+        """Initializes and runs the update checker."""
+        self.update_checker = UpdateChecker(settings=self.settings, parent=self)
+        self.update_checker.update_available.connect(self._on_update_available)
+
+        # Check for updates on startup
+        self.update_checker.check_for_updates()
+
+    def _on_update_available(self, update_info: UpdateInfo):
+        """Called when an update is available."""
+        self._update_info = update_info
+        self.toolbar.set_update_available(True)
+
+    def on_update_action_triggered(self):
+        """Called when user clicks the update action in toolbar."""
+        if self._update_info is None:
+            return
+
+        dialog = UpdateDialog(
+            update_info=self._update_info,
+            parent=self
+        )
+        dialog.exec()

buzz/widgets/main_window_toolbar.py

@@ -16,6 +16,7 @@ from buzz.widgets.icon import (
     EXPAND_ICON_PATH,
     CANCEL_ICON_PATH,
     TRASH_ICON_PATH,
+    UPDATE_ICON_PATH,
 )
 from buzz.widgets.recording_transcriber_widget import RecordingTranscriberWidget
 from buzz.widgets.toolbar import ToolBar
@@ -26,6 +27,7 @@ class MainWindowToolbar(ToolBar):
     new_url_transcription_action_triggered: pyqtSignal
     open_transcript_action_triggered: pyqtSignal
     clear_history_action_triggered: pyqtSignal
+    update_action_triggered: pyqtSignal
     ICON_LIGHT_THEME_BACKGROUND = "#555"
     ICON_DARK_THEME_BACKGROUND = "#AAA"
 
@@ -70,6 +72,13 @@ class MainWindowToolbar(ToolBar):
         self.clear_history_action = Action(
             Icon(TRASH_ICON_PATH, self), _("Clear History"), self
         )
+
+        self.update_action = Action(
+            Icon(UPDATE_ICON_PATH, self), _("Update Available"), self
+        )
+        self.update_action_triggered = self.update_action.triggered
+        self.update_action.setVisible(False)
+
         self.clear_history_action_triggered = self.clear_history_action.triggered
         self.clear_history_action.setDisabled(True)
 
@@ -86,6 +95,10 @@ class MainWindowToolbar(ToolBar):
                 self.clear_history_action,
             ]
         )
+
+        self.addSeparator()
+        self.addAction(self.update_action)
+
         self.setMovable(False)
         self.setToolButtonStyle(Qt.ToolButtonStyle.ToolButtonIconOnly)
 
@@ -93,12 +106,6 @@ class MainWindowToolbar(ToolBar):
         self.record_action.setShortcut(
             QKeySequence.fromString(self.shortcuts.get(Shortcut.OPEN_RECORD_WINDOW))
         )
-        self.new_transcription_action.setShortcut(
-            QKeySequence.fromString(self.shortcuts.get(Shortcut.OPEN_IMPORT_WINDOW))
-        )
-        self.new_url_transcription_action.setShortcut(
-            QKeySequence.fromString(self.shortcuts.get(Shortcut.OPEN_IMPORT_URL_WINDOW))
-        )
         self.stop_transcription_action.setShortcut(
             QKeySequence.fromString(self.shortcuts.get(Shortcut.STOP_TRANSCRIPTION))
         )
@@ -120,3 +127,7 @@ class MainWindowToolbar(ToolBar):
 
     def set_clear_history_action_enabled(self, enabled: bool):
         self.clear_history_action.setEnabled(enabled)
+
+    def set_update_available(self, available: bool):
+        """Shows or hides the update action in the toolbar."""
+        self.update_action.setVisible(available)

buzz/widgets/menu_bar.py

@@ -1,3 +1,4 @@
+import platform
 import webbrowser
 from typing import Optional
 
@@ -19,6 +20,7 @@ from buzz.widgets.preferences_dialog.preferences_dialog import (
 class MenuBar(QMenuBar):
     import_action_triggered = pyqtSignal()
     import_url_action_triggered = pyqtSignal()
+    import_folder_action_triggered = pyqtSignal()
     shortcuts_changed = pyqtSignal()
     openai_api_key_changed = pyqtSignal(str)
     preferences_changed = pyqtSignal(Preferences)
@@ -41,12 +43,17 @@ class MenuBar(QMenuBar):
         self.import_url_action = QAction(_("Import URL..."), self)
         self.import_url_action.triggered.connect(self.import_url_action_triggered)
 
+        self.import_folder_action = QAction(_("Import Folder..."), self)
+        self.import_folder_action.triggered.connect(self.import_folder_action_triggered)
+
         about_label = _("About")
         about_action = QAction(f'{about_label} {APP_NAME}', self)
         about_action.triggered.connect(self.on_about_action_triggered)
+        about_action.setMenuRole(QAction.MenuRole.AboutRole)
 
         self.preferences_action = QAction(_("Preferences..."), self)
         self.preferences_action.triggered.connect(self.on_preferences_action_triggered)
+        self.preferences_action.setMenuRole(QAction.MenuRole.PreferencesRole)
 
         help_label = _("Help")
         help_action = QAction(f'{help_label}', self)
@@ -57,8 +64,10 @@ class MenuBar(QMenuBar):
         file_menu = self.addMenu(_("File"))
         file_menu.addAction(self.import_action)
         file_menu.addAction(self.import_url_action)
+        file_menu.addAction(self.import_folder_action)
 
-        help_menu = self.addMenu(_("Help"))
+        help_menu_title = _("Help") + ("\u200B" if platform.system() == "Darwin" else "")
+        help_menu = self.addMenu(help_menu_title)
         help_menu.addAction(about_action)
         help_menu.addAction(help_action)
         help_menu.addAction(self.preferences_action)

buzz/widgets/model_download_progress_dialog.py

@@ -20,7 +20,7 @@ class ModelDownloadProgressDialog(QProgressDialog):
 
         self.setMinimumWidth(350)
         self.cancelable = (
-            model_type == ModelType.WHISPER or model_type == ModelType.WHISPER_CPP
+            model_type == ModelType.WHISPER
         )
         self.start_time = datetime.now()
         self.setRange(0, 100)

buzz/widgets/preferences_dialog/folder_watch_preferences_widget.py

@@ -44,11 +44,16 @@ class FolderWatchPreferencesWidget(QWidget):
         checkbox.setObjectName("EnableFolderWatchCheckbox")
         checkbox.stateChanged.connect(self.on_enable_changed)
 
-        input_folder_browse_button = QPushButton(_("Browse"))
-        input_folder_browse_button.clicked.connect(self.on_click_browse_input_folder)
+        delete_checkbox = QCheckBox(_("Delete processed files"))
+        delete_checkbox.setChecked(config.delete_processed_files)
+        delete_checkbox.setObjectName("DeleteProcessedFilesCheckbox")
+        delete_checkbox.stateChanged.connect(self.on_delete_processed_files_changed)
 
-        output_folder_browse_button = QPushButton(_("Browse"))
-        output_folder_browse_button.clicked.connect(self.on_click_browse_output_folder)
+        self.input_folder_browse_button = QPushButton(_("Browse"))
+        self.input_folder_browse_button.clicked.connect(self.on_click_browse_input_folder)
+
+        self.output_folder_browse_button = QPushButton(_("Browse"))
+        self.output_folder_browse_button.clicked.connect(self.on_click_browse_output_folder)
 
         input_folder_row = QHBoxLayout()
         self.input_folder_line_edit = LineEdit(config.input_directory, self)
@@ -57,7 +62,7 @@ class FolderWatchPreferencesWidget(QWidget):
         self.input_folder_line_edit.setObjectName("InputFolderLineEdit")
 
         input_folder_row.addWidget(self.input_folder_line_edit)
-        input_folder_row.addWidget(input_folder_browse_button)
+        input_folder_row.addWidget(self.input_folder_browse_button)
 
         output_folder_row = QHBoxLayout()
         self.output_folder_line_edit = LineEdit(config.output_directory, self)
@@ -66,7 +71,7 @@ class FolderWatchPreferencesWidget(QWidget):
         self.output_folder_line_edit.setObjectName("OutputFolderLineEdit")
 
         output_folder_row.addWidget(self.output_folder_line_edit)
-        output_folder_row.addWidget(output_folder_browse_button)
+        output_folder_row.addWidget(self.output_folder_browse_button)
 
         openai_access_token = get_password(Key.OPENAI_API_KEY)
         (
@@ -77,15 +82,17 @@ class FolderWatchPreferencesWidget(QWidget):
             file_paths=[],
         )
 
-        transcription_form_widget = FileTranscriptionFormWidget(
+        self.transcription_form_widget = FileTranscriptionFormWidget(
             transcription_options=transcription_options,
             file_transcription_options=file_transcription_options,
             parent=self,
         )
-        transcription_form_widget.transcription_options_changed.connect(
+        self.transcription_form_widget.transcription_options_changed.connect(
             self.on_transcription_options_changed
         )
 
+        self.delete_checkbox = delete_checkbox
+
         layout = QVBoxLayout(self)
 
         folders_form_layout = QFormLayout()
@@ -93,14 +100,17 @@ class FolderWatchPreferencesWidget(QWidget):
         folders_form_layout.addRow("", checkbox)
         folders_form_layout.addRow(_("Input folder"), input_folder_row)
         folders_form_layout.addRow(_("Output folder"), output_folder_row)
-        folders_form_layout.addWidget(transcription_form_widget)
+        folders_form_layout.addRow("", delete_checkbox)
+        folders_form_layout.addWidget(self.transcription_form_widget)
 
         layout.addLayout(folders_form_layout)
-        layout.addWidget(transcription_form_widget)
+        layout.addWidget(self.transcription_form_widget)
         layout.addStretch()
 
         self.setLayout(layout)
 
+        self._set_settings_enabled(config.enabled)
+
     def on_click_browse_input_folder(self):
         folder = QFileDialog.getExistingDirectory(self, _("Select Input Folder"))
         self.input_folder_line_edit.setText(folder)
@@ -119,8 +129,22 @@ class FolderWatchPreferencesWidget(QWidget):
         self.config.output_directory = folder
         self.config_changed.emit(self.config)
 
+    def _set_settings_enabled(self, enabled: bool):
+        self.input_folder_line_edit.setEnabled(enabled)
+        self.input_folder_browse_button.setEnabled(enabled)
+        self.output_folder_line_edit.setEnabled(enabled)
+        self.output_folder_browse_button.setEnabled(enabled)
+        self.delete_checkbox.setEnabled(enabled)
+        self.transcription_form_widget.setEnabled(enabled)
+
     def on_enable_changed(self, state: int):
-        self.config.enabled = state == 2
+        enabled = state == 2
+        self.config.enabled = enabled
+        self._set_settings_enabled(enabled)
+        self.config_changed.emit(self.config)
+
+    def on_delete_processed_files_changed(self, state: int):
+        self.config.delete_processed_files = state == 2
         self.config_changed.emit(self.config)
 
     def on_transcription_options_changed(

buzz/widgets/preferences_dialog/general_preferences_widget.py

@@ -125,6 +125,18 @@ class GeneralPreferencesWidget(QWidget):
         self.custom_openai_base_url_line_edit.setPlaceholderText("https://api.openai.com/v1")
         layout.addRow(_("OpenAI base url"), self.custom_openai_base_url_line_edit)
 
+        self.openai_api_model = self.settings.value(
+            key=Settings.Key.OPENAI_API_MODEL, default_value="whisper-1"
+        )
+
+        self.openai_api_model_line_edit = LineEdit(self.openai_api_model, self)
+        self.openai_api_model_line_edit.textChanged.connect(
+            self.on_openai_api_model_changed
+        )
+        self.openai_api_model_line_edit.setMinimumWidth(200)
+        self.openai_api_model_line_edit.setPlaceholderText("whisper-1")
+        layout.addRow(_("OpenAI API model"), self.openai_api_model_line_edit)
+
         default_export_file_name = self.settings.get_default_export_file_template()
 
         default_export_file_name_line_edit = LineEdit(default_export_file_name, self)
@@ -176,6 +188,28 @@ class GeneralPreferencesWidget(QWidget):
 
         layout.addRow(_("Live recording mode"), self.recording_transcriber_mode)
 
+        export_note_label = QLabel(
+            _("Note: Live recording export settings will be moved to the Advanced Settings in the Live Recording screen in a future version."),
+            self,
+        )
+        export_note_label.setWordWrap(True)
+        export_note_label.setSizePolicy(QSizePolicy.Policy.Expanding, QSizePolicy.Policy.Preferred)
+        layout.addRow("", export_note_label)
+
+        self.reduce_gpu_memory_enabled = self.settings.value(
+            key=Settings.Key.REDUCE_GPU_MEMORY, default_value=False
+        )
+
+        self.reduce_gpu_memory_checkbox = QCheckBox(_("Use 8-bit quantization to reduce memory usage"))
+        self.reduce_gpu_memory_checkbox.setChecked(self.reduce_gpu_memory_enabled)
+        self.reduce_gpu_memory_checkbox.setObjectName("ReduceGPUMemoryCheckbox")
+        self.reduce_gpu_memory_checkbox.setToolTip(
+            _("Applies to Huggingface and Faster Whisper models. "
+              "Reduces GPU memory usage but may slightly decrease transcription quality.")
+        )
+        self.reduce_gpu_memory_checkbox.stateChanged.connect(self.on_reduce_gpu_memory_changed)
+        layout.addRow(_("Reduce GPU RAM"), self.reduce_gpu_memory_checkbox)
+
         self.force_cpu_enabled = self.settings.value(
             key=Settings.Key.FORCE_CPU, default_value=False
         )
@@ -234,6 +268,9 @@ class GeneralPreferencesWidget(QWidget):
     def on_custom_openai_base_url_changed(self, text: str):
         self.settings.set_value(Settings.Key.CUSTOM_OPENAI_BASE_URL, text)
 
+    def on_openai_api_model_changed(self, text: str):
+        self.settings.set_value(Settings.Key.OPENAI_API_MODEL, text)
+
     def on_recording_export_enable_changed(self, state: int):
         self.recording_export_enabled = state == 2
 
@@ -280,12 +317,23 @@ class GeneralPreferencesWidget(QWidget):
         import os
         self.force_cpu_enabled = state == 2
         self.settings.set_value(Settings.Key.FORCE_CPU, self.force_cpu_enabled)
-        
+
         if self.force_cpu_enabled:
             os.environ["BUZZ_FORCE_CPU"] = "true"
         else:
             os.environ.pop("BUZZ_FORCE_CPU", None)
 
+    def on_reduce_gpu_memory_changed(self, state: int):
+        import os
+        self.reduce_gpu_memory_enabled = state == 2
+        self.settings.set_value(Settings.Key.REDUCE_GPU_MEMORY, self.reduce_gpu_memory_enabled)
+
+        if self.reduce_gpu_memory_enabled:
+            os.environ["BUZZ_REDUCE_GPU_MEMORY"] = "true"
+        else:
+            os.environ.pop("BUZZ_REDUCE_GPU_MEMORY", None)
+
+
 class ValidateOpenAIApiKeyJob(QRunnable):
     class Signals(QObject):
         success = pyqtSignal()
@@ -328,7 +376,7 @@ class ValidateOpenAIApiKeyJob(QRunnable):
             client = OpenAI(
                 api_key=self.api_key,
                 base_url=custom_openai_base_url if custom_openai_base_url else None,
-                timeout=5,
+                timeout=15,
             )
             client.models.list()
             self.signals.success.emit()

buzz/widgets/preferences_dialog/models/file_transcription_preferences.py

@@ -7,7 +7,6 @@ from buzz.model_loader import TranscriptionModel
 from buzz.transcriber.transcriber import (
     Task,
     OutputFormat,
-    DEFAULT_WHISPER_TEMPERATURE,
     TranscriptionOptions,
     FileTranscriptionOptions,
 )
@@ -20,7 +19,6 @@ class FileTranscriptionPreferences:
     model: TranscriptionModel
     word_level_timings: bool
     extract_speech: bool
-    temperature: Tuple[float, ...]
     initial_prompt: str
     enable_llm_translation: bool
     llm_prompt: str
@@ -33,7 +31,6 @@ class FileTranscriptionPreferences:
         settings.setValue("model", self.model)
         settings.setValue("word_level_timings", self.word_level_timings)
         settings.setValue("extract_speech", self.extract_speech)
-        settings.setValue("temperature", self.temperature)
         settings.setValue("initial_prompt", self.initial_prompt)
         settings.setValue("enable_llm_translation", self.enable_llm_translation)
         settings.setValue("llm_model", self.llm_model)
@@ -59,7 +56,6 @@ class FileTranscriptionPreferences:
         extract_speech = False if extract_speech_value == "false" \
             else bool(extract_speech_value)
 
-        temperature = settings.value("temperature", DEFAULT_WHISPER_TEMPERATURE)
         initial_prompt = settings.value("initial_prompt", "")
         enable_llm_translation_value = settings.value("enable_llm_translation", False)
         enable_llm_translation = False if enable_llm_translation_value == "false" \
@@ -75,7 +71,6 @@ class FileTranscriptionPreferences:
             else TranscriptionModel.default(),
             word_level_timings=word_level_timings,
             extract_speech=extract_speech,
-            temperature=temperature,
             initial_prompt=initial_prompt,
             enable_llm_translation=enable_llm_translation,
             llm_model=llm_model,
@@ -94,7 +89,6 @@ class FileTranscriptionPreferences:
         return FileTranscriptionPreferences(
             task=transcription_options.task,
             language=transcription_options.language,
-            temperature=transcription_options.temperature,
             initial_prompt=transcription_options.initial_prompt,
             enable_llm_translation=transcription_options.enable_llm_translation,
             llm_model=transcription_options.llm_model,
@@ -115,7 +109,6 @@ class FileTranscriptionPreferences:
             TranscriptionOptions(
                 task=self.task,
                 language=self.language,
-                temperature=self.temperature,
                 initial_prompt=self.initial_prompt,
                 enable_llm_translation=self.enable_llm_translation,
                 llm_model=self.llm_model,

buzz/widgets/preferences_dialog/models/folder_watch_preferences.py

@@ -13,11 +13,13 @@ class FolderWatchPreferences:
     input_directory: str
     output_directory: str
     file_transcription_options: FileTranscriptionPreferences
+    delete_processed_files: bool = False
 
     def save(self, settings: QSettings):
         settings.setValue("enabled", self.enabled)
         settings.setValue("input_folder", self.input_directory)
         settings.setValue("output_directory", self.output_directory)
+        settings.setValue("delete_processed_files", self.delete_processed_files)
         settings.beginGroup("file_transcription_options")
         self.file_transcription_options.save(settings)
         settings.endGroup()
@@ -29,6 +31,8 @@ class FolderWatchPreferences:
 
         input_folder = settings.value("input_folder", defaultValue="", type=str)
         output_folder = settings.value("output_directory", defaultValue="", type=str)
+        delete_value = settings.value("delete_processed_files", False)
+        delete_processed_files = False if delete_value == "false" else bool(delete_value)
         settings.beginGroup("file_transcription_options")
         file_transcription_options = FileTranscriptionPreferences.load(settings)
         settings.endGroup()
@@ -37,4 +41,5 @@ class FolderWatchPreferences:
             input_directory=input_folder,
             output_directory=output_folder,
             file_transcription_options=file_transcription_options,
+            delete_processed_files=delete_processed_files,
         )

buzz/widgets/preferences_dialog/shortcuts_editor_preferences_widget.py

@@ -7,6 +7,7 @@ from PyQt6.QtWidgets import QWidget, QFormLayout, QPushButton
 from buzz.locale import _
 from buzz.settings.shortcut import Shortcut
 from buzz.settings.shortcuts import Shortcuts
+from buzz.widgets.line_edit import LineEdit
 from buzz.widgets.sequence_edit import SequenceEdit
 
 
@@ -19,8 +20,10 @@ class ShortcutsEditorPreferencesWidget(QWidget):
         self.shortcuts = shortcuts
 
         self.layout = QFormLayout(self)
+        _field_height = LineEdit().sizeHint().height()
         for shortcut in Shortcut:
             sequence_edit = SequenceEdit(shortcuts.get(shortcut), self)
+            sequence_edit.setFixedHeight(_field_height)
             sequence_edit.keySequenceChanged.connect(
                 self.get_key_sequence_changed(shortcut)
             )

buzz/widgets/presentation_window.py

@@ -0,0 +1,189 @@
+import logging
+from typing import Optional
+from PyQt6.QtCore import Qt
+from PyQt6.QtGui import QTextCursor
+from PyQt6.QtWidgets import QWidget, QVBoxLayout, QTextBrowser
+from platformdirs import user_cache_dir
+
+from buzz.locale import _
+from buzz.settings.settings import Settings
+
+import os
+
+class PresentationWindow(QWidget):
+    """Window for displaying live transcripts in presentation mode"""
+
+    def __init__(self, parent: Optional[QWidget] = None):
+        super().__init__(parent)
+
+        self.settings = Settings()
+        self._current_transcript = ""
+        self._current_translation = ""
+        self.window_style = ""
+        self.setWindowTitle(_("Live Transcript Presentation"))
+        self.setWindowFlag(Qt.WindowType.Window)
+
+        # Window size
+        self.resize(800, 600)
+
+        # Create layout
+        layout = QVBoxLayout(self)
+        layout.setContentsMargins(0, 0, 0, 0)
+        layout.setSpacing(0)
+
+        # Text display widget
+        self.transcript_display = QTextBrowser(self)
+        self.transcript_display.setReadOnly(True)
+
+        # Translation display (hidden first)
+        self.translation_display = QTextBrowser(self)
+        self.translation_display.setReadOnly(True)
+        self.translation_display.hide()
+
+        # Add to layout
+        layout.addWidget(self.transcript_display)
+        layout.addWidget(self.translation_display)
+
+        self.load_settings()
+
+    def load_settings(self):
+        """Load and apply saved presentation settings"""
+        theme = self.settings.value(
+            Settings.Key.PRESENTATION_WINDOW_THEME,
+            "light"
+        )
+
+        # Load text size
+        text_size = self.settings.value(
+            Settings.Key.PRESENTATION_WINDOW_TEXT_SIZE,
+            24,
+            int
+        )
+
+        # Load colors based on theme
+        if theme == "light":
+            text_color = "#000000"
+            bg_color = "#FFFFFF"
+        elif theme == "dark":
+            text_color = "#FFFFFF"
+            bg_color = "#000000"
+        else:
+            text_color = self.settings.value(
+                Settings.Key.PRESENTATION_WINDOW_TEXT_COLOR,
+                "#000000"
+            )
+
+            bg_color = self.settings.value(
+                Settings.Key.PRESENTATION_WINDOW_BACKGROUND_COLOR,
+                "#FFFFFF"
+            )
+
+        self.apply_styling(text_color, bg_color, text_size)
+
+        # Refresh content with new styling
+        if self._current_transcript:
+            self.update_transcripts(self._current_transcript)
+        if self._current_translation:
+            self.update_translations(self._current_translation)
+
+    def apply_styling(self, text_color: str, bg_color: str, text_size: int):
+        """Apply text color, background color and font size"""
+
+        # Load custom CSS if it exists
+        css_file_path = self.get_css_file_path()
+
+        if os.path.exists(css_file_path):
+            try:
+                with open(css_file_path, "r", encoding="utf-8") as f:
+                    self.window_style = f.read()
+            except Exception as e:
+                logging.warning(f"Failed to load custom CSS: {e}")
+        else:
+            self.window_style = f"""
+                body {{
+                    color: {text_color};
+                    background-color: {bg_color};
+                    font-size: {text_size}pt;
+                    font-family: Arial, sans-serif;
+                    padding: 0;
+                    margin: 20px;
+                }}
+            """
+
+    def update_transcripts(self, text: str):
+        """Update the transcript display with new text"""
+        if not text:
+            return
+
+        self._current_transcript = text
+        escaped_text = text.replace("&", "&amp;").replace("<", "&lt;").replace(">", "&gt;")
+        html_text = escaped_text.replace("\n", "<br>")
+
+        html_content = f"""
+                    <html>
+                        <head>
+                            <style>
+                                {self.window_style}
+                            </style>
+                        </head>
+                        <body>
+                            {html_text}
+                        </body>
+                    </html>
+                    """
+
+        self.transcript_display.setHtml(html_content)
+        self.transcript_display.moveCursor(QTextCursor.MoveOperation.End)
+
+    def update_translations(self, text: str):
+        """Update the translation display with new text"""
+        if not text:
+            return
+
+        self._current_translation = text
+        self.translation_display.show()
+
+        escaped_text = text.replace("&", "&amp;").replace("<", "&lt;").replace(">", "&gt;")
+        html_text = escaped_text.replace("\n", "<br>")
+
+        html_content = f"""
+                    <html>
+                        <head>
+                            <style>
+                                {self.window_style}
+                            </style>
+                        </head>
+                        <body>
+                            {html_text}
+                        </body>
+                    </html>
+                    """
+
+        self.translation_display.setHtml(html_content)
+        self.translation_display.moveCursor(QTextCursor.MoveOperation.End)
+
+    def toggle_fullscreen(self):
+        """Toggle fullscreen mode"""
+        if self.isFullScreen():
+            self.showNormal()
+        else:
+            self.showFullScreen()
+
+    def keyPressEvent(self, event):
+        """Handle keyboard events"""
+        # ESC Key exits fullscreen
+        if event.key() == Qt.Key.Key_Escape and self.isFullScreen():
+            self.showNormal()
+            event.accept()
+        else:
+            super().keyPressEvent(event)
+
+
+    def get_css_file_path(self) -> str:
+        """Get path to custom CSS file"""
+        cache_dir = user_cache_dir("Buzz")
+        os.makedirs(cache_dir, exist_ok=True)
+
+        return os.path.join(cache_dir, "presentation_window_style.css")
+
+

buzz/widgets/recording_transcriber_widget.py

@@ -1,6 +1,9 @@
+import csv
+import io
 import os
 import re
 import enum
+import time
 import requests
 import logging
 import datetime
@@ -8,9 +11,21 @@ import sounddevice
 from enum import auto
 from typing import Optional, Tuple, Any
 
-from PyQt6.QtCore import QThread, Qt, QThreadPool
-from PyQt6.QtGui import QTextCursor, QCloseEvent
-from PyQt6.QtWidgets import QWidget, QVBoxLayout, QFormLayout, QHBoxLayout, QMessageBox
+from PyQt6.QtCore import QThread, Qt, QThreadPool, QTimer, pyqtSignal
+from PyQt6.QtGui import QTextCursor, QCloseEvent, QColor
+from PyQt6.QtWidgets import (
+    QWidget,
+    QVBoxLayout,
+    QFormLayout,
+    QHBoxLayout,
+    QMessageBox,
+    QApplication,
+    QPushButton,
+    QComboBox,
+    QLabel,
+    QSpinBox,
+    QColorDialog
+)
 
 from buzz.dialogs import show_model_download_error_dialog
 from buzz.locale import _
@@ -27,7 +42,6 @@ from buzz.settings.recording_transcriber_mode import RecordingTranscriberMode
 from buzz.transcriber.recording_transcriber import RecordingTranscriber
 from buzz.transcriber.transcriber import (
     TranscriptionOptions,
-    DEFAULT_WHISPER_TEMPERATURE,
     Task,
 )
 from buzz.translator import Translator
@@ -39,6 +53,8 @@ from buzz.widgets.text_display_box import TextDisplayBox
 from buzz.widgets.transcriber.transcription_options_group_box import (
     TranscriptionOptionsGroupBox,
 )
+from buzz.widgets.presentation_window import PresentationWindow
+from buzz.widgets.icon import NewWindowIcon, FullscreenIcon, ColorBackgroundIcon, TextColorIcon
 
 REAL_CHARS_REGEX = re.compile(r'\w')
 NO_SPACE_BETWEEN_SENTENCES = re.compile(r'([.!?。！？])([A-Z])')
@@ -55,6 +71,8 @@ class RecordingTranscriberWidget(QWidget):
     recording_amplitude_listener: Optional[RecordingAmplitudeListener] = None
     device_sample_rate: Optional[int] = None
 
+    transcription_stopped = pyqtSignal()
+
     class RecordingStatus(enum.Enum):
         STOPPED = auto()
         RECORDING = auto()
@@ -120,10 +138,6 @@ class RecordingTranscriberWidget(QWidget):
             initial_prompt=self.settings.value(
                 key=Settings.Key.RECORDING_TRANSCRIBER_INITIAL_PROMPT, default_value=""
             ),
-            temperature=self.settings.value(
-                key=Settings.Key.RECORDING_TRANSCRIBER_TEMPERATURE,
-                default_value=DEFAULT_WHISPER_TEMPERATURE,
-            ),
             word_level_timings=False,
             enable_llm_translation=self.settings.value(
                 key=Settings.Key.RECORDING_TRANSCRIBER_ENABLE_LLM_TRANSLATION,
@@ -135,6 +149,18 @@ class RecordingTranscriberWidget(QWidget):
             llm_prompt=self.settings.value(
                 key=Settings.Key.RECORDING_TRANSCRIBER_LLM_PROMPT, default_value=""
             ),
+            silence_threshold=self.settings.value(
+                key=Settings.Key.RECORDING_TRANSCRIBER_SILENCE_THRESHOLD,
+                default_value=0.0025,
+            ),
+            line_separator=self.settings.value(
+                key=Settings.Key.RECORDING_TRANSCRIBER_LINE_SEPARATOR,
+                default_value="\n\n",
+            ),
+            transcription_step=self.settings.value(
+                key=Settings.Key.RECORDING_TRANSCRIBER_TRANSCRIPTION_STEP,
+                default_value=3.5,
+            ),
         )
 
         self.audio_devices_combo_box = AudioDevicesComboBox(self)
@@ -155,18 +181,27 @@ class RecordingTranscriberWidget(QWidget):
             default_transcription_options=self.transcription_options,
             model_types=model_types,
             parent=self,
+            show_recording_settings=True,
         )
         self.transcription_options_group_box.transcription_options_changed.connect(
             self.on_transcription_options_changed
         )
+        self.transcription_options_group_box.advanced_settings_dialog.recording_mode_changed.connect(
+            self.on_recording_mode_changed
+        )
+        self.transcription_options_group_box.advanced_settings_dialog.hide_unconfirmed_changed.connect(
+            self.on_hide_unconfirmed_changed
+        )
 
         recording_options_layout = QFormLayout()
-        recording_options_layout.addRow(_("Microphone:"), self.audio_devices_combo_box)
+        self.microphone_label = QLabel(_("Microphone:"))
+        recording_options_layout.addRow(self.microphone_label, self.audio_devices_combo_box)
 
         self.audio_meter_widget = AudioMeterWidget(self)
 
         record_button_layout = QHBoxLayout()
-        record_button_layout.addWidget(self.audio_meter_widget)
+        record_button_layout.setContentsMargins(0, 4, 0, 8)
+        record_button_layout.addWidget(self.audio_meter_widget, alignment=Qt.AlignmentFlag.AlignVCenter)
         record_button_layout.addWidget(self.record_button)
 
         layout.addWidget(self.transcription_options_group_box)
@@ -179,17 +214,250 @@ class RecordingTranscriberWidget(QWidget):
             self.translation_text_box.hide()
 
         self.setLayout(layout)
-        self.resize(450, 500)
+        self.resize(700, 600)
 
         self.reset_recording_amplitude_listener()
 
+        self._closing = False
         self.transcript_export_file = None
         self.translation_export_file = None
+        self.export_file_type = "txt"
+        self.export_max_entries = 0
+        self.hide_unconfirmed = self.settings.value(
+            Settings.Key.RECORDING_TRANSCRIBER_HIDE_UNCONFIRMED, True
+        )
         self.export_enabled = self.settings.value(
             key=Settings.Key.RECORDING_TRANSCRIBER_EXPORT_ENABLED,
             default_value=False,
         )
 
+        #Presentation window
+        self.presentation_window: Optional[PresentationWindow] = None
+
+        self.presentation_options_bar = self.create_presentation_options_bar()
+        layout.insertWidget(3, self.presentation_options_bar)
+        self.presentation_options_bar.hide()
+        self.copy_actions_bar = self.create_copy_actions_bar()
+        layout.addWidget(self.copy_actions_bar)  # Add at the bottom
+        self.copy_actions_bar.hide()
+
+    def create_presentation_options_bar(self) -> QWidget:
+        """Crete the presentation options bar widget"""
+
+        bar = QWidget(self)
+        layout = QHBoxLayout(bar)
+        layout.setContentsMargins(5, 5, 5, 5)
+        layout.setSpacing(10)
+
+        self.show_presentation_button = QPushButton(bar)
+        self.show_presentation_button.setIcon(NewWindowIcon(bar))
+        self.show_presentation_button.setToolTip(_("Show in new window"))
+        self.show_presentation_button.clicked.connect(self.on_show_presentation_clicked)
+        layout.addWidget(self.show_presentation_button)
+
+        layout.addStretch() #Push other controls to the right
+
+        text_size_label = QLabel(_("Text Size:"), bar)
+        layout.addWidget(text_size_label)
+
+        self.text_size_spinbox = QSpinBox(bar)
+        self.text_size_spinbox.setRange(10, 100) #10pt to 100pt
+
+        saved_text_size = self.settings.value(
+            Settings.Key.PRESENTATION_WINDOW_TEXT_SIZE,
+            24,
+            int
+        )
+        self.text_size_spinbox.setValue(saved_text_size)
+        self.text_size_spinbox.valueChanged.connect(self.on_text_size_changed)
+        layout.addWidget(self.text_size_spinbox)
+
+        #Theme selector
+        theme_label = QLabel(_("Theme"), bar)
+        layout.addWidget(theme_label)
+
+        self.theme_combo = QComboBox(bar)
+        self.theme_combo.addItems([_("Light"), _("Dark"), _("Custom")])
+        #Load saved theme
+        saved_theme = self.settings.value(
+            Settings.Key.PRESENTATION_WINDOW_THEME,
+            "light"
+        )
+        theme_index = {"light": 0, "dark": 1, "custom": 2}.get(saved_theme, 0)
+        self.theme_combo.setCurrentIndex(theme_index)
+        self.theme_combo.currentIndexChanged.connect(self.on_theme_changed)
+        layout.addWidget(self.theme_combo)
+
+        #Color buttons hidden first, show when custom is selected
+        self.text_color_button = QPushButton(bar)
+        self.text_color_button.setIcon(TextColorIcon(bar))
+        self.text_color_button.setToolTip(_("Text Color"))
+        self.text_color_button.clicked.connect(self.on_text_color_clicked)
+        self.text_color_button.hide()
+
+        if saved_theme == "custom":
+            self.text_color_button.show()
+        layout.addWidget(self.text_color_button)
+
+        self.bg_color_button = QPushButton(bar)
+        self.bg_color_button.setIcon(ColorBackgroundIcon(bar))
+        self.bg_color_button.setToolTip(_("Background Color"))
+        self.bg_color_button.clicked.connect(self.on_bg_color_clicked)
+        self.bg_color_button.hide()
+        if saved_theme == "custom":
+            self.bg_color_button.show()
+        layout.addWidget(self.bg_color_button)
+
+        self.fullscreen_button = QPushButton(bar)
+        self.fullscreen_button.setIcon(FullscreenIcon(bar))
+        self.fullscreen_button.setToolTip(_("Fullscreen"))
+        self.fullscreen_button.clicked.connect(self.on_fullscreen_clicked)
+        self.fullscreen_button.setEnabled(False)
+        layout.addWidget(self.fullscreen_button)
+
+        return bar
+
+    def create_copy_actions_bar(self) -> QWidget:
+        """Create the copy actions bar widget"""
+        bar = QWidget(self)
+        layout = QHBoxLayout(bar)
+        layout.setContentsMargins(5, 5, 5, 5)
+        layout.setSpacing(10)
+
+        layout.addStretch()  # Push button to the right
+
+        self.copy_transcript_button = QPushButton(_("Copy"), bar)
+        self.copy_transcript_button.setToolTip(_("Copy transcription to clipboard"))
+        self.copy_transcript_button.clicked.connect(self.on_copy_transcript_clicked)
+        layout.addWidget(self.copy_transcript_button)
+
+        return bar
+
+    def on_copy_transcript_clicked(self):
+        """Handle copy transcript button click"""
+        transcript_text = self.transcription_text_box.toPlainText().strip()
+
+        if not transcript_text:
+            self.copy_transcript_button.setText(_("Nothing to copy!"))
+            QTimer.singleShot(1500, lambda: self.copy_transcript_button.setText(_("Copy")))
+            return
+
+        app = QApplication.instance()
+        if app is None:
+            logging.warning("QApplication instance not available; clipboard disabled")
+            self.copy_transcript_button.setText(_("Copy failed"))
+            QTimer.singleShot(1500, lambda: self.copy_transcript_button.setText(_("Copy")))
+            return
+
+        clipboard = app.clipboard()
+        if clipboard is None:
+            logging.warning("Clipboard not available")
+            self.copy_transcript_button.setText(_("Copy failed"))
+            QTimer.singleShot(1500, lambda: self.copy_transcript_button.setText(_("Copy")))
+            return
+
+        try:
+            clipboard.setText(transcript_text)
+        except Exception as e:
+            logging.warning("Clipboard error: %s", e)
+            self.copy_transcript_button.setText(_("Copy failed"))
+            QTimer.singleShot(1500, lambda: self.copy_transcript_button.setText(_("Copy")))
+            return
+
+        self.copy_transcript_button.setText(_("Copied!"))
+        QTimer.singleShot(2000, lambda: self.copy_transcript_button.setText(_("Copy")))
+
+    def on_show_presentation_clicked(self):
+        """Handle click on 'Show in new window' button"""
+        if self.presentation_window is None or not self.presentation_window.isVisible():
+            #Create new presentation window
+            self.presentation_window = PresentationWindow(self)
+            self.presentation_window.show()
+
+            #Enable fullscreen button
+            self.fullscreen_button.setEnabled(True)
+
+            #Sync current content to presentation window
+            transcript_text = self.transcription_text_box.toPlainText()
+            if transcript_text:
+                self.presentation_window.update_transcripts(transcript_text)
+
+            if self.transcription_options.enable_llm_translation:
+                translation_text = self.translation_text_box.toPlainText()
+                if translation_text:
+                    self.presentation_window.update_translations(translation_text)
+        else:
+            #Window already open, bring to front
+            self.presentation_window.raise_()
+            self.presentation_window.activateWindow()
+
+    def on_text_size_changed(self, value: int):
+        """Handle text size change"""
+        def save_settings():
+            self.settings.set_value(Settings.Key.PRESENTATION_WINDOW_TEXT_SIZE, value)
+            if self.presentation_window:
+                # reload setting to apply new size
+                self.presentation_window.load_settings()
+        #Incase user drags slider, Debounce by waiting 100ms before saving
+        QTimer.singleShot(100, save_settings)
+
+    def on_theme_changed(self, index: int):
+        """Handle theme selection change"""
+        theme = ["light", "dark", "custom"]
+        selected_theme = theme[index]
+        self.settings.set_value(Settings.Key.PRESENTATION_WINDOW_THEME, selected_theme)
+
+        #Show/hide color buttons based on selection
+        if selected_theme == "custom":
+            self.text_color_button.show()
+            self.bg_color_button.show()
+        else:
+            self.text_color_button.hide()
+            self.bg_color_button.hide()
+
+        # Apply theme to presentation window
+        if self.presentation_window:
+            self.presentation_window.load_settings()
+
+    def on_text_color_clicked(self):
+        """Handle text color button click"""
+
+        current_color = QColor(
+            self.settings.value(
+                Settings.Key.PRESENTATION_WINDOW_TEXT_COLOR,
+                "#000000"
+            )
+        )
+
+        color = QColorDialog.getColor(current_color, self, _("Select Text Color"))
+        if color.isValid():
+            color_hex = color.name()
+            self.settings.set_value(Settings.Key.PRESENTATION_WINDOW_TEXT_COLOR, color_hex)
+            if self.presentation_window:
+                self.presentation_window.load_settings()
+
+    def on_bg_color_clicked(self):
+        """Handle background color button click"""
+
+        current_color = QColor(
+            self.settings.value(
+                Settings.Key.PRESENTATION_WINDOW_BACKGROUND_COLOR,
+                "#FFFFFF"
+            )
+        )
+
+        color = QColorDialog.getColor(current_color, self, _("Select Background Color"))
+        if color.isValid():
+            color_hex = color.name()
+            self.settings.set_value(Settings.Key.PRESENTATION_WINDOW_BACKGROUND_COLOR, color_hex)
+            if self.presentation_window:
+                self.presentation_window.load_settings()
+
+    def on_fullscreen_clicked(self):
+        """Handle fullscreen button click"""
+        if self.presentation_window:
+            self.presentation_window.toggle_fullscreen()
+
     def setup_for_export(self):
         export_folder = self.settings.value(
             key=Settings.Key.RECORDING_TRANSCRIBER_EXPORT_FOLDER,
@@ -198,7 +466,23 @@ class RecordingTranscriberWidget(QWidget):
 
         date_time_now = datetime.datetime.now().strftime("%d-%b-%Y %H-%M-%S")
 
-        export_file_name_template = Settings().get_default_export_file_template()
+        custom_template = self.settings.value(
+            key=Settings.Key.RECORDING_TRANSCRIBER_EXPORT_FILE_NAME,
+            default_value="",
+        )
+        export_file_name_template = custom_template if custom_template else Settings().get_default_export_file_template()
+
+        self.export_file_type = self.settings.value(
+            key=Settings.Key.RECORDING_TRANSCRIBER_EXPORT_FILE_TYPE,
+            default_value="txt",
+        )
+        self.export_max_entries = self.settings.value(
+            Settings.Key.RECORDING_TRANSCRIBER_EXPORT_MAX_ENTRIES, 0, int
+        )
+        self.hide_unconfirmed = self.settings.value(
+            Settings.Key.RECORDING_TRANSCRIBER_HIDE_UNCONFIRMED, True
+        )
+        ext = ".csv" if self.export_file_type == "csv" else ".txt"
 
         export_file_name = (
                 export_file_name_template.replace("{{ input_file_name }}", "live recording")
@@ -207,14 +491,27 @@ class RecordingTranscriberWidget(QWidget):
                 .replace("{{ model_type }}", self.transcription_options.model.model_type.value)
                 .replace("{{ model_size }}", self.transcription_options.model.whisper_model_size or "")
                 .replace("{{ date_time }}", date_time_now)
-                + ".txt"
+                + ext
         )
 
+        translated_ext = ".translated" + ext
+
         if not os.path.isdir(export_folder):
             self.export_enabled = False
 
         self.transcript_export_file = os.path.join(export_folder, export_file_name)
-        self.translation_export_file = self.transcript_export_file.replace(".txt", ".translated.txt")
+        self.translation_export_file = self.transcript_export_file.replace(ext, translated_ext)
+
+        # Clear export files at the start of each recording session
+        for path in (self.transcript_export_file, self.translation_export_file):
+            if os.path.isfile(path):
+                self.write_to_export_file(path, "", mode="w")
+
+    def on_recording_mode_changed(self, mode: RecordingTranscriberMode):
+        self.transcriber_mode = mode
+
+    def on_hide_unconfirmed_changed(self, value: bool):
+        self.hide_unconfirmed = value
 
     def on_transcription_options_changed(
         self, transcription_options: TranscriptionOptions
@@ -267,18 +564,38 @@ class RecordingTranscriberWidget(QWidget):
         self.recording_amplitude_listener.amplitude_changed.connect(
             self.on_recording_amplitude_changed, Qt.ConnectionType.QueuedConnection
         )
+        self.recording_amplitude_listener.average_amplitude_changed.connect(
+            self.audio_meter_widget.update_average_amplitude, Qt.ConnectionType.QueuedConnection
+        )
         self.recording_amplitude_listener.start_recording()
 
     def on_record_button_clicked(self):
         if self.current_status == self.RecordingStatus.STOPPED:
+            # Stop amplitude listener and disconnect its signal before resetting
+            # to prevent queued amplitude events from overriding the reset
+            if self.recording_amplitude_listener is not None:
+                self.recording_amplitude_listener.amplitude_changed.disconnect(
+                    self.on_recording_amplitude_changed
+                )
+                self.recording_amplitude_listener.average_amplitude_changed.disconnect(
+                    self.audio_meter_widget.update_average_amplitude
+                )
+                self.recording_amplitude_listener.stop_recording()
+                self.recording_amplitude_listener = None
+            self.audio_meter_widget.reset_amplitude()
             self.start_recording()
             self.current_status = self.RecordingStatus.RECORDING
             self.record_button.set_recording()
             self.transcription_options_group_box.setEnabled(False)
             self.audio_devices_combo_box.setEnabled(False)
+            self.microphone_label.setEnabled(False)
+            self.presentation_options_bar.show()
+            self.copy_actions_bar.hide()
+
         else:  # RecordingStatus.RECORDING
             self.stop_recording()
             self.set_recording_status_stopped()
+            self.presentation_options_bar.hide()
 
     def start_recording(self):
         self.record_button.setDisabled(True)
@@ -313,7 +630,6 @@ class RecordingTranscriberWidget(QWidget):
 
         self.transcription_thread = QThread()
 
-        # TODO: make runnable
         self.transcriber = RecordingTranscriber(
             input_device_index=self.selected_device_id,
             sample_rate=self.device_sample_rate,
@@ -330,6 +646,19 @@ class RecordingTranscriberWidget(QWidget):
         )
 
         self.transcriber.transcription.connect(self.on_next_transcription)
+        self.transcriber.amplitude_changed.connect(
+            self.on_recording_amplitude_changed, Qt.ConnectionType.QueuedConnection
+        )
+        self.transcriber.average_amplitude_changed.connect(
+            self.audio_meter_widget.update_average_amplitude, Qt.ConnectionType.QueuedConnection
+        )
+        self.transcriber.queue_size_changed.connect(
+            self.audio_meter_widget.update_queue_size, Qt.ConnectionType.QueuedConnection
+        )
+
+        # Stop the separate amplitude listener to avoid two streams on the same device
+        if self.recording_amplitude_listener is not None:
+            self.recording_amplitude_listener.stop_recording()
 
         self.transcriber.finished.connect(self.on_transcriber_finished)
         self.transcriber.finished.connect(self.transcription_thread.quit)
@@ -353,9 +682,15 @@ class RecordingTranscriberWidget(QWidget):
             self.translation_thread.finished.connect(
                 self.translation_thread.deleteLater
             )
+            self.translation_thread.finished.connect(
+                lambda: setattr(self, "translation_thread", None)
+            )
 
             self.translator.finished.connect(self.translation_thread.quit)
             self.translator.finished.connect(self.translator.deleteLater)
+            self.translator.finished.connect(
+                lambda: setattr(self, "translator", None)
+            )
 
             self.translator.translation.connect(self.on_next_translation)
 
@@ -384,12 +719,16 @@ class RecordingTranscriberWidget(QWidget):
         self.current_status = self.RecordingStatus.STOPPED
         self.transcription_options_group_box.setEnabled(True)
         self.audio_devices_combo_box.setEnabled(True)
+        self.microphone_label.setEnabled(True)
+        self.presentation_options_bar.hide()
+        self.copy_actions_bar.show() #added this here
 
     def on_download_model_error(self, error: str):
         self.reset_model_download()
         show_model_download_error_dialog(self, error)
         self.stop_recording()
         self.set_recording_status_stopped()
+        self.reset_recording_amplitude_listener()
         self.record_button.setDisabled(False)
 
     @staticmethod
@@ -405,6 +744,102 @@ class RecordingTranscriberWidget(QWidget):
 
         return text
 
+    @staticmethod
+    def write_to_export_file(file_path: str, content: str, mode: str = "a", retries: int = 5, delay: float = 0.2):
+        """Write to an export file with retry logic for Windows file locking."""
+        for attempt in range(retries):
+            try:
+                with open(file_path, mode, encoding='utf-8') as f:
+                    f.write(content)
+                return
+            except PermissionError:
+                if attempt < retries - 1:
+                    time.sleep(delay)
+                else:
+                    logging.warning("Export write failed after %d retries: %s", retries, file_path)
+            except OSError as e:
+                logging.warning("Export write failed: %s", e)
+                return
+
+    @staticmethod
+    def write_csv_export(file_path: str, text: str, max_entries: int):
+        """Append a new column to a single-row CSV export file, applying max_entries limit."""
+        existing_columns = []
+        if os.path.isfile(file_path):
+            try:
+                with open(file_path, "r", encoding="utf-8-sig") as f:
+                    raw = f.read()
+                if raw.strip():
+                    reader = csv.reader(io.StringIO(raw))
+                    for row in reader:
+                        existing_columns = row
+                        break
+            except OSError:
+                pass
+        existing_columns.append(text)
+        if max_entries > 0:
+            existing_columns = existing_columns[-max_entries:]
+        buf = io.StringIO()
+        writer = csv.writer(buf)
+        writer.writerow(existing_columns)
+        for attempt in range(5):
+            try:
+                with open(file_path, "w", encoding='utf-8-sig') as f:
+                    f.write(buf.getvalue())
+                return
+            except PermissionError:
+                if attempt < 4:
+                    time.sleep(0.2)
+                else:
+                    logging.warning("CSV export write failed after retries: %s", file_path)
+            except OSError as e:
+                logging.warning("CSV export write failed: %s", e)
+                return
+
+    @staticmethod
+    def write_txt_export(file_path: str, text: str, mode: str, max_entries: int, line_separator: str):
+        """Write to a TXT export file, applying max_entries limit when needed."""
+        if mode == "a":
+            RecordingTranscriberWidget.write_to_export_file(file_path, text + line_separator)
+            if max_entries > 0 and os.path.isfile(file_path):
+                raw = RecordingTranscriberWidget.read_export_file(file_path)
+                parts = [p for p in raw.split(line_separator) if p]
+                if len(parts) > max_entries:
+                    parts = parts[-max_entries:]
+                    RecordingTranscriberWidget.write_to_export_file(
+                        file_path, line_separator.join(parts) + line_separator, mode="w"
+                    )
+        elif mode == "prepend":
+            existing_content = ""
+            if os.path.isfile(file_path):
+                existing_content = RecordingTranscriberWidget.read_export_file(file_path)
+            new_content = text + line_separator + existing_content
+            if max_entries > 0:
+                parts = [p for p in new_content.split(line_separator) if p]
+                if len(parts) > max_entries:
+                    parts = parts[:max_entries]
+                new_content = line_separator.join(parts) + line_separator
+            RecordingTranscriberWidget.write_to_export_file(file_path, new_content, mode="w")
+        else:
+            RecordingTranscriberWidget.write_to_export_file(file_path, text, mode=mode)
+
+    @staticmethod
+    def read_export_file(file_path: str, retries: int = 5, delay: float = 0.2) -> str:
+        """Read an export file with retry logic for Windows file locking."""
+        for attempt in range(retries):
+            try:
+                with open(file_path, "r", encoding='utf-8') as f:
+                    return f.read()
+            except PermissionError:
+                if attempt < retries - 1:
+                    time.sleep(delay)
+                else:
+                    logging.warning("Export read failed after %d retries: %s", retries, file_path)
+            except OSError as e:
+                logging.warning("Export read failed: %s", e)
+                return ""
+        return ""
+
     # Copilot magic implementation of a sliding window approach to find the longest common substring between two texts,
     # ignoring the initial differences.
     @staticmethod
@@ -441,16 +876,36 @@ class RecordingTranscriberWidget(QWidget):
     def process_transcription_merge(self, text: str, texts, text_box, export_file):
         texts.append(text)
 
+        # Possibly in future we want to tie this to some setting, to limit amount of data that needs
+        # to be processed and exported. Value should not be less than ~10, so we have enough data to
+        # work with.
+        # if len(texts) > 20:
+        #     del texts[:len(texts) - 20]
+
         # Remove possibly errorous parts from overlapping audio chunks
+        last_common_length = None
         for i in range(len(texts) - 1):
             common_part = self.find_common_part(texts[i], texts[i + 1])
             if common_part:
                 common_length = len(common_part)
                 texts[i] = texts[i][:texts[i].rfind(common_part) + common_length]
                 texts[i + 1] = texts[i + 1][texts[i + 1].find(common_part):]
+                if i == len(texts) - 2:
+                    last_common_length = common_length
+            elif i == len(texts) - 2:
+                last_common_length = None
+
+        # When hiding unconfirmed: trim the last text to only the part confirmed by overlap
+        # with the previous chunk. If no overlap found, drop the last text entirely.
+        display_texts = list(texts)
+        if self.hide_unconfirmed and len(display_texts) > 1:
+            if last_common_length is not None:
+                display_texts[-1] = display_texts[-1][:last_common_length]
+            else:
+                display_texts = display_texts[:-1]
 
         merged_texts = ""
-        for text in texts:
+        for text in display_texts:
             merged_texts = self.merge_text_no_overlap(merged_texts, text)
 
         merged_texts = NO_SPACE_BETWEEN_SENTENCES.sub(r'\1 \2', merged_texts)
@@ -459,8 +914,12 @@ class RecordingTranscriberWidget(QWidget):
         text_box.moveCursor(QTextCursor.MoveOperation.End)
 
         if self.export_enabled and export_file:
-            with open(export_file, "w") as f:
-                f.write(merged_texts)
+            if self.export_file_type == "csv":
+                # For APPEND_AND_CORRECT mode, rewrite the whole CSV with all merged text as a single entry
+                self.write_to_export_file(export_file, "", mode="w")
+                self.write_csv_export(export_file, merged_texts, 0)
+            else:
+                self.write_to_export_file(export_file, merged_texts, mode="w")
 
     def on_next_transcription(self, text: str):
         text = self.filter_text(text)
@@ -474,32 +933,52 @@ class RecordingTranscriberWidget(QWidget):
         if self.transcriber_mode == RecordingTranscriberMode.APPEND_BELOW:
             self.transcription_text_box.moveCursor(QTextCursor.MoveOperation.End)
             if len(self.transcription_text_box.toPlainText()) > 0:
-                self.transcription_text_box.insertPlainText("\n\n")
+                self.transcription_text_box.insertPlainText(self.transcription_options.line_separator)
             self.transcription_text_box.insertPlainText(text)
             self.transcription_text_box.moveCursor(QTextCursor.MoveOperation.End)
 
             if self.export_enabled and self.transcript_export_file:
-                with open(self.transcript_export_file, "a") as f:
-                    f.write(text + "\n\n")
+                if self.export_file_type == "csv":
+                    self.write_csv_export(self.transcript_export_file, text, self.export_max_entries)
+                else:
+                    self.write_txt_export(self.transcript_export_file, text, "a", self.export_max_entries, self.transcription_options.line_separator)
 
         elif self.transcriber_mode == RecordingTranscriberMode.APPEND_ABOVE:
             self.transcription_text_box.moveCursor(QTextCursor.MoveOperation.Start)
             self.transcription_text_box.insertPlainText(text)
-            self.transcription_text_box.insertPlainText("\n\n")
+            self.transcription_text_box.insertPlainText(self.transcription_options.line_separator)
             self.transcription_text_box.moveCursor(QTextCursor.MoveOperation.Start)
 
             if self.export_enabled and self.transcript_export_file:
-                with open(self.transcript_export_file, "r") as f:
-                    existing_content = f.read()
-
-                new_content = text + "\n\n" + existing_content
-
-                with open(self.transcript_export_file, "w") as f:
-                    f.write(new_content)
+                if self.export_file_type == "csv":
+                    # For APPEND_ABOVE, prepend in CSV means inserting at beginning of columns
+                    existing_columns = []
+                    if os.path.isfile(self.transcript_export_file):
+                        raw = self.read_export_file(self.transcript_export_file)
+                        if raw.strip():
+                            reader = csv.reader(io.StringIO(raw))
+                            for row in reader:
+                                existing_columns = row
+                                break
+                    new_columns = [text] + existing_columns
+                    if self.export_max_entries > 0:
+                        new_columns = new_columns[:self.export_max_entries]
+                    buf = io.StringIO()
+                    writer = csv.writer(buf)
+                    writer.writerow(new_columns)
+                    self.write_to_export_file(self.transcript_export_file, buf.getvalue(), mode="w")
+                else:
+                    self.write_txt_export(self.transcript_export_file, text, "prepend", self.export_max_entries, self.transcription_options.line_separator)
 
         elif self.transcriber_mode == RecordingTranscriberMode.APPEND_AND_CORRECT:
             self.process_transcription_merge(text, self.transcripts, self.transcription_text_box, self.transcript_export_file)
 
+        #Update presentation window if it is open
+        if self.presentation_window and self.presentation_window.isVisible():
+            #Get current merged text from the translation box
+            current_text = self.transcription_text_box.toPlainText()
+            self.presentation_window.update_transcripts(current_text)
+
         # Upload to server
         if self.upload_url:
             try:
@@ -519,32 +998,49 @@ class RecordingTranscriberWidget(QWidget):
         if self.transcriber_mode == RecordingTranscriberMode.APPEND_BELOW:
             self.translation_text_box.moveCursor(QTextCursor.MoveOperation.End)
             if len(self.translation_text_box.toPlainText()) > 0:
-                self.translation_text_box.insertPlainText("\n\n")
+                self.translation_text_box.insertPlainText(self.transcription_options.line_separator)
             self.translation_text_box.insertPlainText(self.strip_newlines(text))
             self.translation_text_box.moveCursor(QTextCursor.MoveOperation.End)
 
-            if self.export_enabled:
-                with open(self.translation_export_file, "a") as f:
-                    f.write(text + "\n\n")
+            if self.export_enabled and self.translation_export_file:
+                if self.export_file_type == "csv":
+                    self.write_csv_export(self.translation_export_file, text, self.export_max_entries)
+                else:
+                    self.write_txt_export(self.translation_export_file, text, "a", self.export_max_entries, self.transcription_options.line_separator)
 
         elif self.transcriber_mode == RecordingTranscriberMode.APPEND_ABOVE:
             self.translation_text_box.moveCursor(QTextCursor.MoveOperation.Start)
             self.translation_text_box.insertPlainText(self.strip_newlines(text))
-            self.translation_text_box.insertPlainText("\n\n")
+            self.translation_text_box.insertPlainText(self.transcription_options.line_separator)
             self.translation_text_box.moveCursor(QTextCursor.MoveOperation.Start)
 
-            if self.export_enabled:
-                with open(self.translation_export_file, "r") as f:
-                    existing_content = f.read()
-
-                new_content = text + "\n\n" + existing_content
-
-                with open(self.translation_export_file, "w") as f:
-                    f.write(new_content)
+            if self.export_enabled and self.translation_export_file:
+                if self.export_file_type == "csv":
+                    existing_columns = []
+                    if os.path.isfile(self.translation_export_file):
+                        raw = self.read_export_file(self.translation_export_file)
+                        if raw.strip():
+                            reader = csv.reader(io.StringIO(raw))
+                            for row in reader:
+                                existing_columns = row
+                                break
+                    new_columns = [text] + existing_columns
+                    if self.export_max_entries > 0:
+                        new_columns = new_columns[:self.export_max_entries]
+                    buf = io.StringIO()
+                    writer = csv.writer(buf)
+                    writer.writerow(new_columns)
+                    self.write_to_export_file(self.translation_export_file, buf.getvalue(), mode="w")
+                else:
+                    self.write_txt_export(self.translation_export_file, text, "prepend", self.export_max_entries, self.transcription_options.line_separator)
 
         elif self.transcriber_mode == RecordingTranscriberMode.APPEND_AND_CORRECT:
             self.process_transcription_merge(text, self.translations, self.translation_text_box, self.translation_export_file)
 
+        if self.presentation_window and self.presentation_window.isVisible():
+            current_translation = self.translation_text_box.toPlainText()
+            self.presentation_window.update_translations(current_translation)
+
         # Upload to server
         if self.upload_url:
             try:
@@ -569,10 +1065,14 @@ class RecordingTranscriberWidget(QWidget):
 
     def on_transcriber_finished(self):
         self.reset_record_button()
+        # Restart amplitude listener now that the transcription stream is closed
+        self.reset_recording_amplitude_listener()
+        self.transcription_stopped.emit()
 
     def on_transcriber_error(self, error: str):
         self.reset_record_button()
         self.set_recording_status_stopped()
+        self.reset_recording_amplitude_listener()
         QMessageBox.critical(
             self,
             "",
@@ -589,6 +1089,7 @@ class RecordingTranscriberWidget(QWidget):
             self.model_loader.cancel()
         self.reset_model_download()
         self.set_recording_status_stopped()
+        self.reset_recording_amplitude_listener()
         self.record_button.setDisabled(False)
 
     def reset_model_download(self):
@@ -612,10 +1113,51 @@ class RecordingTranscriberWidget(QWidget):
         self.audio_meter_widget.update_amplitude(amplitude)
 
     def closeEvent(self, event: QCloseEvent) -> None:
-        if self.model_loader is not None:
-            self.model_loader.cancel()
+        if self._closing:
+            # Second call after deferred close — proceed normally
+            self._do_close()
+            super().closeEvent(event)
+            return
+
+        if self.current_status == self.RecordingStatus.RECORDING:
+            # Defer the close until the transcription thread finishes to avoid
+            # blocking the GUI thread with a synchronous wait.
+            event.ignore()
+            self._closing = True
+
+            if self.model_loader is not None:
+                self.model_loader.cancel()
+
+            self.stop_recording()
+
+            # Connect to QThread.finished — the transcriber C++ object may already
+            # be scheduled for deletion via deleteLater() by this point.
+            thread = self.transcription_thread
+            if thread is not None:
+                try:
+                    if thread.isRunning():
+                        thread.finished.connect(self._on_close_transcriber_finished)
+                    else:
+                        self._on_close_transcriber_finished()
+                except RuntimeError:
+                    self._on_close_transcriber_finished()
+            else:
+                self._on_close_transcriber_finished()
+            return
+
+        self._do_close()
+        super().closeEvent(event)
+
+    def _on_close_transcriber_finished(self):
+        self.transcription_thread = None
+        self.close()
+
+    def _do_close(self):
+        #Close presentation window if open
+        if self.presentation_window:
+            self.presentation_window.close()
+            self.presentation_window = None
 
-        self.stop_recording()
         if self.recording_amplitude_listener is not None:
             self.recording_amplitude_listener.stop_recording()
             self.recording_amplitude_listener.deleteLater()
@@ -624,6 +1166,10 @@ class RecordingTranscriberWidget(QWidget):
         if self.translator is not None:
             self.translator.stop()
 
+        if self.translation_thread is not None:
+            # Just request quit — do not block the GUI thread waiting for it
+            self.translation_thread.quit()
+
         self.settings.set_value(
             Settings.Key.RECORDING_TRANSCRIBER_LANGUAGE,
             self.transcription_options.language,
@@ -631,10 +1177,6 @@ class RecordingTranscriberWidget(QWidget):
         self.settings.set_value(
             Settings.Key.RECORDING_TRANSCRIBER_TASK, self.transcription_options.task
         )
-        self.settings.set_value(
-            Settings.Key.RECORDING_TRANSCRIBER_TEMPERATURE,
-            self.transcription_options.temperature,
-        )
         self.settings.set_value(
             Settings.Key.RECORDING_TRANSCRIBER_INITIAL_PROMPT,
             self.transcription_options.initial_prompt,
@@ -654,5 +1196,15 @@ class RecordingTranscriberWidget(QWidget):
             Settings.Key.RECORDING_TRANSCRIBER_LLM_PROMPT,
             self.transcription_options.llm_prompt,
         )
-
-        return super().closeEvent(event)
+        self.settings.set_value(
+            Settings.Key.RECORDING_TRANSCRIBER_SILENCE_THRESHOLD,
+            self.transcription_options.silence_threshold,
+        )
+        self.settings.set_value(
+            Settings.Key.RECORDING_TRANSCRIBER_LINE_SEPARATOR,
+            self.transcription_options.line_separator,
+        )
+        self.settings.set_value(
+            Settings.Key.RECORDING_TRANSCRIBER_TRANSCRIPTION_STEP,
+            self.transcription_options.transcription_step,
+        )

buzz/widgets/snap_notice.py

@@ -1,29 +0,0 @@
-from PyQt6.QtWidgets import QDialog, QVBoxLayout, QTextEdit, QLabel, QPushButton
-from buzz.locale import _
-
-
-class SnapNotice(QDialog):
-    def __init__(self, parent=None):
-        super().__init__(parent)
-
-        self.setWindowTitle(_("Snap permission notice"))
-
-        self.layout = QVBoxLayout(self)
-
-        self.notice_label = QLabel(_("Detected missing permissions, please check that snap permissions have been granted"))
-        self.layout.addWidget(self.notice_label)
-
-        self.instruction_label = QLabel(_("To enable necessary permissions run the following commands in the terminal"))
-        self.layout.addWidget(self.instruction_label)
-
-        self.text_edit = QTextEdit(self)
-        self.text_edit.setPlainText(
-            "sudo snap connect buzz:password-manager-service\n"
-        )
-        self.text_edit.setReadOnly(True)
-        self.text_edit.setFixedHeight(80)
-        self.layout.addWidget(self.text_edit)
-
-        self.button = QPushButton(_("Close"), self)
-        self.button.clicked.connect(self.close)
-        self.layout.addWidget(self.button)

buzz/widgets/transcriber/advanced_settings_dialog.py

@@ -7,23 +7,34 @@ from PyQt6.QtWidgets import (
     QPlainTextEdit,
     QFormLayout,
     QLabel,
+    QDoubleSpinBox,
+    QLineEdit,
+    QComboBox,
+    QHBoxLayout,
+    QPushButton,
+    QSpinBox,
+    QFileDialog,
 )
 
 from buzz.locale import _
-from buzz.model_loader import ModelType
 from buzz.transcriber.transcriber import TranscriptionOptions
 from buzz.settings.settings import Settings
+from buzz.settings.recording_transcriber_mode import RecordingTranscriberMode
 from buzz.widgets.line_edit import LineEdit
 from buzz.widgets.transcriber.initial_prompt_text_edit import InitialPromptTextEdit
-from buzz.widgets.transcriber.temperature_validator import TemperatureValidator
 
 
 class AdvancedSettingsDialog(QDialog):
     transcription_options: TranscriptionOptions
     transcription_options_changed = pyqtSignal(TranscriptionOptions)
+    recording_mode_changed = pyqtSignal(RecordingTranscriberMode)
+    hide_unconfirmed_changed = pyqtSignal(bool)
 
     def __init__(
-        self, transcription_options: TranscriptionOptions, parent: QWidget | None = None
+        self,
+        transcription_options: TranscriptionOptions,
+        parent: QWidget | None = None,
+        show_recording_settings: bool = False,
     ):
         super().__init__(parent)
 
@@ -31,29 +42,15 @@ class AdvancedSettingsDialog(QDialog):
         self.settings = Settings()
 
         self.setWindowTitle(_("Advanced Settings"))
+        self.setMinimumWidth(800)
 
         layout = QFormLayout(self)
+        layout.setFieldGrowthPolicy(QFormLayout.FieldGrowthPolicy.ExpandingFieldsGrow)
 
         transcription_settings_title= _("Speech recognition settings")
         transcription_settings_title_label = QLabel(f"<h4>{transcription_settings_title}</h4>", self)
         layout.addRow("", transcription_settings_title_label)
 
-        default_temperature_text = ", ".join(
-            [str(temp) for temp in transcription_options.temperature]
-        )
-        self.temperature_line_edit = LineEdit(default_temperature_text, self)
-        self.temperature_line_edit.setPlaceholderText(
-            _('Comma-separated, e.g. "0.0, 0.2, 0.4, 0.6, 0.8, 1.0"')
-        )
-        self.temperature_line_edit.setMinimumWidth(250)
-        self.temperature_line_edit.textChanged.connect(self.on_temperature_changed)
-        self.temperature_line_edit.setValidator(TemperatureValidator(self))
-        self.temperature_line_edit.setEnabled(
-            transcription_options.model.model_type == ModelType.WHISPER
-        )
-
-        layout.addRow(_("Temperature:"), self.temperature_line_edit)
-
         self.initial_prompt_text_edit = InitialPromptTextEdit(
             transcription_options.initial_prompt,
             transcription_options.model.model_type,
@@ -74,22 +71,160 @@ class AdvancedSettingsDialog(QDialog):
         self.enable_llm_translation_checkbox.stateChanged.connect(self.on_enable_llm_translation_changed)
         layout.addRow("", self.enable_llm_translation_checkbox)
 
-        self.llm_model_line_edit = LineEdit(self.transcription_options.llm_model, self)
-        self.llm_model_line_edit.textChanged.connect(
-            self.on_llm_model_changed
-        )
+        llm_model = self.transcription_options.llm_model or "gpt-4.1-mini"
+        self.llm_model_line_edit = LineEdit(llm_model, self)
+        self.llm_model_line_edit.textChanged.connect(self.on_llm_model_changed)
         self.llm_model_line_edit.setMinimumWidth(170)
         self.llm_model_line_edit.setEnabled(self.transcription_options.enable_llm_translation)
-        self.llm_model_line_edit.setPlaceholderText("gpt-4.1-mini")
-        layout.addRow(_("AI model:"), self.llm_model_line_edit)
+        self.llm_model_label = QLabel(_("AI model:"))
+        self.llm_model_label.setEnabled(self.transcription_options.enable_llm_translation)
+        layout.addRow(self.llm_model_label, self.llm_model_line_edit)
 
-        self.llm_prompt_text_edit = QPlainTextEdit(self.transcription_options.llm_prompt)
+        default_llm_prompt = self.transcription_options.llm_prompt or _(
+            "Please translate each text sent to you from English to Spanish. Translation will be used in an automated system, please do not add any comments or notes, just the translation."
+        )
+        self.llm_prompt_text_edit = QPlainTextEdit(default_llm_prompt)
         self.llm_prompt_text_edit.setEnabled(self.transcription_options.enable_llm_translation)
-        self.llm_prompt_text_edit.setPlaceholderText(_("Enter instructions for AI on how to translate, for example 'Please translate each text sent to you from English to Spanish.'"))
         self.llm_prompt_text_edit.setMinimumWidth(170)
-        self.llm_prompt_text_edit.setFixedHeight(115)
+        self.llm_prompt_text_edit.setFixedHeight(80)
         self.llm_prompt_text_edit.textChanged.connect(self.on_llm_prompt_changed)
-        layout.addRow(_("Instructions for AI:"), self.llm_prompt_text_edit)
+        self.llm_prompt_label = QLabel(_("Instructions for AI:"))
+        self.llm_prompt_label.setEnabled(self.transcription_options.enable_llm_translation)
+        layout.addRow(self.llm_prompt_label, self.llm_prompt_text_edit)
+
+        if show_recording_settings:
+            recording_settings_title = _("Recording settings")
+            recording_settings_title_label = QLabel(f"<h4>{recording_settings_title}</h4>", self)
+            layout.addRow("", recording_settings_title_label)
+
+            self.silence_threshold_spin_box = QDoubleSpinBox(self)
+            self.silence_threshold_spin_box.setRange(0.0, 1.0)
+            self.silence_threshold_spin_box.setSingleStep(0.0005)
+            self.silence_threshold_spin_box.setDecimals(4)
+            self.silence_threshold_spin_box.setValue(transcription_options.silence_threshold)
+            self.silence_threshold_spin_box.valueChanged.connect(self.on_silence_threshold_changed)
+            self.silence_threshold_spin_box.setFixedWidth(90)
+            layout.addRow(_("Silence threshold:"), self.silence_threshold_spin_box)
+
+            # Live recording mode
+            self.recording_mode_combo = QComboBox(self)
+            for mode in RecordingTranscriberMode:
+                self.recording_mode_combo.addItem(mode.value)
+            self.recording_mode_combo.setCurrentIndex(
+                self.settings.value(Settings.Key.RECORDING_TRANSCRIBER_MODE, 0)
+            )
+            self.recording_mode_combo.currentIndexChanged.connect(self.on_recording_mode_changed)
+            self.recording_mode_combo.setFixedWidth(250)
+            layout.addRow(_("Live recording mode") + ":", self.recording_mode_combo)
+
+            self.line_separator_line_edit = QLineEdit(self)
+            line_sep_display = repr(transcription_options.line_separator)[1:-1] or r"\n\n"
+            self.line_separator_line_edit.setText(line_sep_display)
+            self.line_separator_line_edit.textChanged.connect(self.on_line_separator_changed)
+            self.line_separator_label = QLabel(_("Line separator:"))
+            layout.addRow(self.line_separator_label, self.line_separator_line_edit)
+
+            self.transcription_step_spin_box = QDoubleSpinBox(self)
+            self.transcription_step_spin_box.setRange(2.0, 5.0)
+            self.transcription_step_spin_box.setSingleStep(0.1)
+            self.transcription_step_spin_box.setDecimals(1)
+            self.transcription_step_spin_box.setValue(transcription_options.transcription_step)
+            self.transcription_step_spin_box.valueChanged.connect(self.on_transcription_step_changed)
+            self.transcription_step_spin_box.setFixedWidth(80)
+            self.transcription_step_label = QLabel(_("Transcription step:"))
+            layout.addRow(self.transcription_step_label, self.transcription_step_spin_box)
+
+            hide_unconfirmed = self.settings.value(
+                Settings.Key.RECORDING_TRANSCRIBER_HIDE_UNCONFIRMED, True
+            )
+            self.hide_unconfirmed_checkbox = QCheckBox(_("Hide unconfirmed"))
+            self.hide_unconfirmed_checkbox.setChecked(hide_unconfirmed)
+            self.hide_unconfirmed_checkbox.stateChanged.connect(self.on_hide_unconfirmed_changed)
+            self.hide_unconfirmed_label = QLabel("")
+            layout.addRow(self.hide_unconfirmed_label, self.hide_unconfirmed_checkbox)
+
+            self._update_recording_mode_visibility(
+                RecordingTranscriberMode(self.recording_mode_combo.currentText())
+            )
+
+            # Export enabled checkbox
+            self._export_enabled = self.settings.value(
+                Settings.Key.RECORDING_TRANSCRIBER_EXPORT_ENABLED, False
+            )
+            self.export_enabled_checkbox = QCheckBox(_("Enable live recording export"))
+            self.export_enabled_checkbox.setChecked(self._export_enabled)
+            self.export_enabled_checkbox.stateChanged.connect(self.on_export_enabled_changed)
+            layout.addRow("", self.export_enabled_checkbox)
+
+            # Export folder
+            export_folder = self.settings.value(
+                Settings.Key.RECORDING_TRANSCRIBER_EXPORT_FOLDER, ""
+            )
+            self.export_folder_line_edit = LineEdit(export_folder, self)
+            self.export_folder_line_edit.setEnabled(self._export_enabled)
+            self.export_folder_line_edit.textChanged.connect(self.on_export_folder_changed)
+            self.export_folder_browse_button = QPushButton(_("Browse"), self)
+            self.export_folder_browse_button.setEnabled(self._export_enabled)
+            self.export_folder_browse_button.clicked.connect(self.on_browse_export_folder)
+            export_folder_row = QHBoxLayout()
+            export_folder_row.addWidget(self.export_folder_line_edit)
+            export_folder_row.addWidget(self.export_folder_browse_button)
+            self.export_folder_label = QLabel(_("Export folder:"))
+            self.export_folder_label.setEnabled(self._export_enabled)
+            layout.addRow(self.export_folder_label, export_folder_row)
+
+            # Export file name template
+            export_file_name = self.settings.value(
+                Settings.Key.RECORDING_TRANSCRIBER_EXPORT_FILE_NAME, ""
+            )
+            self.export_file_name_line_edit = LineEdit(export_file_name, self)
+            self.export_file_name_line_edit.setEnabled(self._export_enabled)
+            self.export_file_name_line_edit.textChanged.connect(self.on_export_file_name_changed)
+            self.export_file_name_label = QLabel(_("Export file name:"))
+            self.export_file_name_label.setEnabled(self._export_enabled)
+            layout.addRow(self.export_file_name_label, self.export_file_name_line_edit)
+
+            # Export file type
+            self.export_file_type_combo = QComboBox(self)
+            self.export_file_type_combo.addItem(_("Text file (.txt)"), "txt")
+            self.export_file_type_combo.addItem(_("CSV (.csv)"), "csv")
+            current_type = self.settings.value(
+                Settings.Key.RECORDING_TRANSCRIBER_EXPORT_FILE_TYPE, "txt"
+            )
+            type_index = self.export_file_type_combo.findData(current_type)
+            if type_index >= 0:
+                self.export_file_type_combo.setCurrentIndex(type_index)
+            self.export_file_type_combo.setEnabled(self._export_enabled)
+            self.export_file_type_combo.currentIndexChanged.connect(self.on_export_file_type_changed)
+            self.export_file_type_combo.setFixedWidth(200)
+            self.export_file_type_label = QLabel(_("Export file type:"))
+            self.export_file_type_label.setEnabled(self._export_enabled)
+            layout.addRow(self.export_file_type_label, self.export_file_type_combo)
+
+            # Max entries
+            max_entries = self.settings.value(
+                Settings.Key.RECORDING_TRANSCRIBER_EXPORT_MAX_ENTRIES, 0, int
+            )
+            self.export_max_entries_spin = QSpinBox(self)
+            self.export_max_entries_spin.setRange(0, 99)
+            self.export_max_entries_spin.setValue(max_entries)
+            self.export_max_entries_spin.setEnabled(self._export_enabled)
+            self.export_max_entries_spin.valueChanged.connect(self.on_export_max_entries_changed)
+            self.export_max_entries_spin.setFixedWidth(90)
+            self.export_max_entries_label = QLabel(_("Limit export entries\n(0 = export all):"))
+            self.export_max_entries_label.setEnabled(self._export_enabled)
+            layout.addRow(self.export_max_entries_label, self.export_max_entries_spin)
+
+            _field_height = self.llm_model_line_edit.sizeHint().height()
+            for widget in (
+                self.line_separator_line_edit,
+                self.silence_threshold_spin_box,
+                self.recording_mode_combo,
+                self.transcription_step_spin_box,
+                self.export_file_type_combo,
+                self.export_max_entries_spin,
+            ):
+                widget.setFixedHeight(_field_height)
 
         button_box = QDialogButtonBox(
             QDialogButtonBox.StandardButton(QDialogButtonBox.StandardButton.Ok), self
@@ -100,15 +235,6 @@ class AdvancedSettingsDialog(QDialog):
         layout.addWidget(button_box)
 
         self.setLayout(layout)
-        self.resize(self.sizeHint())
-
-    def on_temperature_changed(self, text: str):
-        try:
-            temperatures = [float(temp.strip()) for temp in text.split(",")]
-            self.transcription_options.temperature = tuple(temperatures)
-            self.transcription_options_changed.emit(self.transcription_options)
-        except ValueError:
-            pass
 
     def on_initial_prompt_changed(self):
         self.transcription_options.initial_prompt = (
@@ -120,8 +246,11 @@ class AdvancedSettingsDialog(QDialog):
         self.transcription_options.enable_llm_translation = state == 2
         self.transcription_options_changed.emit(self.transcription_options)
 
-        self.llm_model_line_edit.setEnabled(self.transcription_options.enable_llm_translation)
-        self.llm_prompt_text_edit.setEnabled(self.transcription_options.enable_llm_translation)
+        enabled = self.transcription_options.enable_llm_translation
+        self.llm_model_label.setEnabled(enabled)
+        self.llm_model_line_edit.setEnabled(enabled)
+        self.llm_prompt_label.setEnabled(enabled)
+        self.llm_prompt_text_edit.setEnabled(enabled)
 
     def on_llm_model_changed(self, text: str):
         self.transcription_options.llm_model = text
@@ -132,3 +261,72 @@ class AdvancedSettingsDialog(QDialog):
             self.llm_prompt_text_edit.toPlainText()
         )
         self.transcription_options_changed.emit(self.transcription_options)
+
+    def on_silence_threshold_changed(self, value: float):
+        self.transcription_options.silence_threshold = value
+        self.transcription_options_changed.emit(self.transcription_options)
+
+    def on_line_separator_changed(self, text: str):
+        try:
+            self.transcription_options.line_separator = text.encode().decode("unicode_escape")
+        except UnicodeDecodeError:
+            return
+        self.transcription_options_changed.emit(self.transcription_options)
+
+    def on_recording_mode_changed(self, index: int):
+        self.settings.set_value(Settings.Key.RECORDING_TRANSCRIBER_MODE, index)
+        mode = list(RecordingTranscriberMode)[index]
+        self._update_recording_mode_visibility(mode)
+        self.recording_mode_changed.emit(mode)
+
+    def _update_recording_mode_visibility(self, mode: RecordingTranscriberMode):
+        is_append_and_correct = mode == RecordingTranscriberMode.APPEND_AND_CORRECT
+        self.line_separator_label.setVisible(not is_append_and_correct)
+        self.line_separator_line_edit.setVisible(not is_append_and_correct)
+        self.transcription_step_label.setVisible(is_append_and_correct)
+        self.transcription_step_spin_box.setVisible(is_append_and_correct)
+        self.hide_unconfirmed_label.setVisible(is_append_and_correct)
+        self.hide_unconfirmed_checkbox.setVisible(is_append_and_correct)
+
+    def on_transcription_step_changed(self, value: float):
+        self.transcription_options.transcription_step = round(value, 1)
+        self.transcription_options_changed.emit(self.transcription_options)
+
+    def on_hide_unconfirmed_changed(self, state: int):
+        value = state == 2
+        self.settings.set_value(Settings.Key.RECORDING_TRANSCRIBER_HIDE_UNCONFIRMED, value)
+        self.hide_unconfirmed_changed.emit(value)
+
+    def on_export_enabled_changed(self, state: int):
+        self._export_enabled = state == 2
+        self.settings.set_value(Settings.Key.RECORDING_TRANSCRIBER_EXPORT_ENABLED, self._export_enabled)
+        for widget in (
+            self.export_folder_label,
+            self.export_folder_line_edit,
+            self.export_folder_browse_button,
+            self.export_file_name_label,
+            self.export_file_name_line_edit,
+            self.export_file_type_label,
+            self.export_file_type_combo,
+            self.export_max_entries_label,
+            self.export_max_entries_spin,
+        ):
+            widget.setEnabled(self._export_enabled)
+
+    def on_export_folder_changed(self, text: str):
+        self.settings.set_value(Settings.Key.RECORDING_TRANSCRIBER_EXPORT_FOLDER, text)
+
+    def on_browse_export_folder(self):
+        folder = QFileDialog.getExistingDirectory(self, _("Select Export Folder"))
+        if folder:
+            self.export_folder_line_edit.setText(folder)
+
+    def on_export_file_name_changed(self, text: str):
+        self.settings.set_value(Settings.Key.RECORDING_TRANSCRIBER_EXPORT_FILE_NAME, text)
+
+    def on_export_file_type_changed(self, index: int):
+        file_type = self.export_file_type_combo.itemData(index)
+        self.settings.set_value(Settings.Key.RECORDING_TRANSCRIBER_EXPORT_FILE_TYPE, file_type)
+
+    def on_export_max_entries_changed(self, value: int):
+        self.settings.set_value(Settings.Key.RECORDING_TRANSCRIBER_EXPORT_MAX_ENTRIES, value)

buzz/widgets/transcriber/hugging_face_search_line_edit.py

@@ -64,7 +64,8 @@ class HuggingFaceSearchLineEdit(LineEdit):
 
     def focusInEvent(self, event):
         super().focusInEvent(event)
-        self.clear()
+        # Defer selectAll to run after mouse events are processed
+        QTimer.singleShot(0, self.selectAll)
 
     def on_text_edited(self, text: str):
         self.model_selected.emit(text)

buzz/widgets/transcriber/initial_prompt_text_edit.py

@@ -10,4 +10,4 @@ class InitialPromptTextEdit(QPlainTextEdit):
         self.setPlaceholderText(_("Enter prompt..."))
         self.setEnabled(model_type.supports_initial_prompt)
         self.setMinimumWidth(350)
-        self.setFixedHeight(115)
+        self.setFixedHeight(80)

buzz/widgets/transcriber/languages_combo_box.py

@@ -2,7 +2,7 @@ from typing import Optional
 import os
 
 from PyQt6.QtCore import pyqtSignal, Qt
-from PyQt6.QtWidgets import QComboBox, QWidget
+from PyQt6.QtWidgets import QComboBox, QWidget, QFrame
 from PyQt6.QtGui import QStandardItem, QStandardItemModel
 
 from buzz.locale import _
@@ -51,3 +51,9 @@ class LanguagesComboBox(QComboBox):
 
     def on_index_changed(self, index: int):
         self.languageChanged.emit(self.languages[index][0])
+
+    def showPopup(self):
+        super().showPopup()
+        popup = self.findChild(QFrame)
+        if popup and popup.height() > 400:
+            popup.setFixedHeight(400)

buzz/widgets/transcriber/mms_language_line_edit.py

@@ -0,0 +1,48 @@
+from typing import Optional
+
+from PyQt6.QtCore import pyqtSignal
+from PyQt6.QtWidgets import QWidget, QSizePolicy
+
+from buzz.locale import _
+from buzz.widgets.line_edit import LineEdit
+
+
+class MMSLanguageLineEdit(LineEdit):
+    """Text input for MMS language codes (ISO 639-3).
+
+    MMS models support 1000+ languages using ISO 639-3 codes (3 letters).
+    Examples: eng (English), fra (French), deu (German), spa (Spanish)
+    """
+
+    languageChanged = pyqtSignal(str)
+
+    def __init__(
+        self,
+        default_language: str = "eng",
+        parent: Optional[QWidget] = None
+    ):
+        super().__init__(default_language, parent)
+        self.setSizePolicy(QSizePolicy.Policy.Expanding, QSizePolicy.Policy.Fixed)
+        self.setPlaceholderText(_("e.g., eng, fra, deu"))
+        self.setToolTip(
+            _("Enter an ISO 639-3 language code (3 letters).\n"
+              "Examples: eng (English), fra (French), deu (German),\n"
+              "spa (Spanish), lav (Latvian)")
+        )
+        self.setMaxLength(10)  # Allow some flexibility for edge cases
+        self.setMinimumWidth(100)
+
+        self.textChanged.connect(self._on_text_changed)
+
+    def _on_text_changed(self, text: str):
+        """Emit language changed signal with cleaned text."""
+        cleaned = text.strip().lower()
+        self.languageChanged.emit(cleaned)
+
+    def language(self) -> str:
+        """Get the current language code."""
+        return self.text().strip().lower()
+
+    def setLanguage(self, language: str):
+        """Set the language code."""
+        self.setText(language.strip().lower() if language else "eng")

buzz/widgets/transcriber/temperature_validator.py

@@ -1,21 +0,0 @@
-from typing import Optional, Tuple
-
-from PyQt6.QtCore import QObject
-from PyQt6.QtGui import QValidator
-
-
-class TemperatureValidator(QValidator):
-    def __init__(self, parent: Optional[QObject] = ...) -> None:
-        super().__init__(parent)
-
-    def validate(
-        self, text: str, cursor_position: int
-    ) -> Tuple["QValidator.State", str, int]:
-        try:
-            temp_strings = [temp.strip() for temp in text.split(",")]
-            if temp_strings[-1] == "":
-                return QValidator.State.Intermediate, text, cursor_position
-            _ = [float(temp) for temp in temp_strings]
-            return QValidator.State.Acceptable, text, cursor_position
-        except ValueError:
-            return QValidator.State.Invalid, text, cursor_position

buzz/widgets/transcriber/transcription_options_group_box.py

@@ -10,7 +10,7 @@ from PyQt6.QtWidgets import QGroupBox, QWidget, QFormLayout, QComboBox, QLabel,
 from buzz.locale import _
 from buzz.settings.settings import Settings
 from buzz.widgets.icon import INFO_ICON_PATH
-from buzz.model_loader import ModelType, WhisperModelSize, get_whisper_cpp_file_path
+from buzz.model_loader import ModelType, WhisperModelSize, get_whisper_cpp_file_path, is_mms_model
 from buzz.transcriber.transcriber import TranscriptionOptions, Task
 from buzz.widgets.model_type_combo_box import ModelTypeComboBox
 from buzz.widgets.openai_api_key_line_edit import OpenAIAPIKeyLineEdit
@@ -20,6 +20,7 @@ from buzz.widgets.transcriber.hugging_face_search_line_edit import (
     HuggingFaceSearchLineEdit,
 )
 from buzz.widgets.transcriber.languages_combo_box import LanguagesComboBox
+from buzz.widgets.transcriber.mms_language_line_edit import MMSLanguageLineEdit
 from buzz.widgets.transcriber.tasks_combo_box import TasksComboBox
 
 
@@ -32,6 +33,7 @@ class TranscriptionOptionsGroupBox(QGroupBox):
         default_transcription_options: TranscriptionOptions = TranscriptionOptions(),
         model_types: Optional[List[ModelType]] = None,
         parent: Optional[QWidget] = None,
+        show_recording_settings: bool = False,
     ):
         super().__init__(title="", parent=parent)
         self.settings = Settings()
@@ -48,7 +50,9 @@ class TranscriptionOptionsGroupBox(QGroupBox):
         self.model_type_combo_box.changed.connect(self.on_model_type_changed)
 
         self.advanced_settings_dialog = AdvancedSettingsDialog(
-            transcription_options=self.transcription_options, parent=self
+            transcription_options=self.transcription_options,
+            parent=self,
+            show_recording_settings=show_recording_settings,
         )
         self.advanced_settings_dialog.transcription_options_changed.connect(
             self.on_transcription_options_changed
@@ -87,6 +91,13 @@ class TranscriptionOptionsGroupBox(QGroupBox):
         )
         self.languages_combo_box.languageChanged.connect(self.on_language_changed)
 
+        # MMS language input (text field for ISO 639-3 codes)
+        self.mms_language_line_edit = MMSLanguageLineEdit(
+            default_language="eng", parent=self
+        )
+        self.mms_language_line_edit.languageChanged.connect(self.on_mms_language_changed)
+        self.mms_language_line_edit.setVisible(False)
+
         self.advanced_settings_button = AdvancedSettingsButton(self)
         self.advanced_settings_button.clicked.connect(self.open_advanced_settings)
 
@@ -115,6 +126,7 @@ class TranscriptionOptionsGroupBox(QGroupBox):
         self.form_layout.addRow(_("Api Key:"), self.openai_access_token_edit)
         self.form_layout.addRow(_("Task:"), self.tasks_combo_box)
         self.form_layout.addRow(_("Language:"), self.languages_combo_box)
+        self.form_layout.addRow(_("Language:"), self.mms_language_line_edit)
 
         self.reset_visible_rows()
 
@@ -133,6 +145,14 @@ class TranscriptionOptionsGroupBox(QGroupBox):
         self.transcription_options.language = language
         self.transcription_options_changed.emit(self.transcription_options)
 
+    def on_mms_language_changed(self, language: str):
+        """Handle MMS language code changes."""
+        if language == "":
+            language = "eng"  # Default to English for MMS
+
+        self.transcription_options.language = language
+        self.transcription_options_changed.emit(self.transcription_options)
+
     def on_task_changed(self, task: Task):
         self.transcription_options.task = task
         self.transcription_options_changed.emit(self.transcription_options)
@@ -229,6 +249,9 @@ class TranscriptionOptionsGroupBox(QGroupBox):
                 self.transcription_options.model.model_type == ModelType.WHISPER_CPP
             )
 
+        # Update language widget visibility (MMS vs Whisper)
+        self._update_language_widget_visibility()
+
     def on_model_type_changed(self, model_type: ModelType):
         self.transcription_options.model.model_type = model_type
         if not model_type.supports_initial_prompt:
@@ -254,3 +277,34 @@ class TranscriptionOptionsGroupBox(QGroupBox):
         self.transcription_options_changed.emit(self.transcription_options)
 
         self.settings.save_custom_model_id(self.transcription_options.model)
+
+        # Update language widget visibility based on whether this is an MMS model
+        self._update_language_widget_visibility()
+
+    def _update_language_widget_visibility(self):
+        """Update language widget visibility based on whether the selected model is MMS."""
+        model_type = self.transcription_options.model.model_type
+        model_id = self.transcription_options.model.hugging_face_model_id
+
+        # Check if this is an MMS model
+        is_mms = (model_type == ModelType.HUGGING_FACE and is_mms_model(model_id))
+
+        # Show MMS language input for MMS models, show dropdown for others
+        self.form_layout.setRowVisible(self.mms_language_line_edit, is_mms)
+        self.form_layout.setRowVisible(self.languages_combo_box, not is_mms)
+
+        # Sync the language value when switching between MMS and non-MMS
+        if is_mms:
+            # When switching to MMS, use the MMS language input value
+            mms_lang = self.mms_language_line_edit.language()
+            if mms_lang:
+                self.transcription_options.language = mms_lang
+                self.transcription_options_changed.emit(self.transcription_options)
+        else:
+            # When switching from MMS to a regular model, use the dropdown's current value
+            # This prevents invalid MMS language codes (like "eng") being used with Whisper
+            current_index = self.languages_combo_box.currentIndex()
+            dropdown_lang = self.languages_combo_box.languages[current_index][0]
+            if self.transcription_options.language != dropdown_lang:
+                self.transcription_options.language = dropdown_lang if dropdown_lang else None
+                self.transcription_options_changed.emit(self.transcription_options)

buzz/widgets/transcription_task_folder_watcher.py

@@ -11,6 +11,12 @@ from buzz.widgets.preferences_dialog.models.folder_watch_preferences import (
     FolderWatchPreferences,
 )
 
+# Supported media file extensions (audio and video)
+SUPPORTED_EXTENSIONS = {
+    ".mp3", ".wav", ".m4a", ".ogg", ".opus", ".flac",  # audio
+    ".mp4", ".webm", ".ogm", ".mov", ".mkv", ".avi", ".wmv",  # video
+}
+
 
 class TranscriptionTaskFolderWatcher(QFileSystemWatcher):
     preferences: FolderWatchPreferences
@@ -34,9 +40,14 @@ class TranscriptionTaskFolderWatcher(QFileSystemWatcher):
         if len(self.directories()) > 0:
             self.removePaths(self.directories())
         if preferences.enabled:
-            self.addPath(preferences.input_directory)
+            # Add the input directory and all subdirectories to the watcher
+            for dirpath, dirnames, _ in os.walk(preferences.input_directory):
+                # Skip hidden directories
+                dirnames[:] = [d for d in dirnames if not d.startswith(".")]
+                self.addPath(dirpath)
             logging.debug(
-                'Watching for media files in "%s"', preferences.input_directory
+                'Watching for media files in "%s" and subdirectories',
+                preferences.input_directory,
             )
 
     def find_tasks(self):
@@ -49,8 +60,18 @@ class TranscriptionTaskFolderWatcher(QFileSystemWatcher):
         for dirpath, dirnames, filenames in os.walk(input_directory):
             for filename in filenames:
                 file_path = os.path.join(dirpath, filename)
+                file_ext = os.path.splitext(filename)[1].lower()
+
+                # Check for temp conversion files (e.g., .ogg.wav)
+                name_without_ext = os.path.splitext(filename)[0]
+                secondary_ext = os.path.splitext(name_without_ext)[1].lower()
+                is_temp_conversion_file = secondary_ext in SUPPORTED_EXTENSIONS
+
                 if (
                     filename.startswith(".")  # hidden files
+                    or file_ext not in SUPPORTED_EXTENSIONS  # non-media files
+                    or is_temp_conversion_file  # temp conversion files like .ogg.wav
+                    or "_speech.mp3" in filename  # extracted speech output files
                     or file_path in tasks  # file already in tasks
                     or file_path in self.paths_emitted  # file already emitted
                 ):
@@ -70,16 +91,34 @@ class TranscriptionTaskFolderWatcher(QFileSystemWatcher):
                     ModelDownloader(model=transcription_options.model).run()
                     model_path = transcription_options.model.get_local_model_path()
 
+                # Preserve subdirectory structure in output directory
+                relative_path = os.path.relpath(dirpath, input_directory)
+                if relative_path == ".":
+                    output_directory = self.preferences.output_directory
+                else:
+                    output_directory = os.path.join(
+                        self.preferences.output_directory, relative_path
+                    )
+
+                # Create output directory if it doesn't exist
+                os.makedirs(output_directory, exist_ok=True)
+
                 task = FileTranscriptionTask(
                     file_path=file_path,
+                    original_file_path=file_path,
                     transcription_options=transcription_options,
                     file_transcription_options=file_transcription_options,
                     model_path=model_path,
-                    output_directory=self.preferences.output_directory,
+                    output_directory=output_directory,
                     source=FileTranscriptionTask.Source.FOLDER_WATCH,
+                    delete_source_file=self.preferences.delete_processed_files,
                 )
                 self.task_found.emit(task)
                 self.paths_emitted.add(file_path)
 
-            # Don't traverse into subdirectories
-            break
+            # Filter out hidden directories and add new subdirectories to the watcher
+            dirnames[:] = [d for d in dirnames if not d.startswith(".")]
+            for dirname in dirnames:
+                subdir_path = os.path.join(dirpath, dirname)
+                if subdir_path not in self.directories():
+                    self.addPath(subdir_path)

buzz/widgets/transcription_tasks_table_widget.py

@@ -50,6 +50,8 @@ class Column(enum.Enum):
     HUGGING_FACE_MODEL_ID = 16
     WORD_LEVEL_TIMINGS = 17
     EXTRACT_SPEECH = 18
+    NAME = 19
+    NOTES = 20
 
 
 @dataclass
@@ -92,9 +94,10 @@ column_definitions = [
         column=Column.FILE,
         width=400,
         delegate=RecordDelegate(
-            text_getter=lambda record: record.value("url")
-            if record.value("url") != ""
-            else os.path.basename(record.value("file"))
+            text_getter=lambda record: record.value("name") or (
+                os.path.basename(record.value("file")) if record.value("file")
+                else record.value("url") or ""
+            )
         ),
         hidden_toggleable=False,
     ),
@@ -122,19 +125,9 @@ column_definitions = [
         column=Column.STATUS,
         width=180,
         delegate=RecordDelegate(text_getter=format_record_status_text),
-        hidden_toggleable=False,
-    ),
-    ColDef(
-        id="date_added",
-        header=_("Date Added"),
-        column=Column.TIME_QUEUED,
-        width=180,
-        delegate=RecordDelegate(
-            text_getter=lambda record: datetime.fromisoformat(
-                record.value("time_queued")
-            ).strftime("%Y-%m-%d %H:%M:%S")
-        ),
+        hidden_toggleable=True,
     ),
+
     ColDef(
         id="date_completed",
         header=_("Date Completed"),
@@ -147,6 +140,26 @@ column_definitions = [
             if record.value("time_ended") != ""
             else ""
         ),
+    ),    ColDef(
+        id="date_added",
+        header=_("Date Added"),
+        column=Column.TIME_QUEUED,
+        width=180,
+        delegate=RecordDelegate(
+            text_getter=lambda record: datetime.fromisoformat(
+                record.value("time_queued")
+            ).strftime("%Y-%m-%d %H:%M:%S")
+        ),
+    ),
+    ColDef(
+        id="notes",
+        header=_("Notes"),
+        column=Column.NOTES,
+        width=300,
+        delegate=RecordDelegate(
+            text_getter=lambda record: record.value("notes") or ""
+        ),
+        hidden_toggleable=True,
     ),
 ]
 
@@ -156,28 +169,72 @@ class TranscriptionTasksTableHeaderView(QHeaderView):
 
     def contextMenuEvent(self, event):
         menu = QMenu(self)
+        
+        # Add reset column order option
+        menu.addAction(_("Reset Column Order")).triggered.connect(self.parent().reset_column_order)
+        menu.addSeparator()
+        
+        # Add column visibility toggles
         for definition in column_definitions:
-            if not definition.hidden_toggleable:
-                continue
-            action = menu.addAction(definition.header)
-            action.setCheckable(True)
-            action.setChecked(not self.isSectionHidden(definition.column.value))
-            action.toggled.connect(
-                lambda checked, column_index=definition.column.value: self.on_column_checked(
-                    column_index, checked
+            if definition.hidden_toggleable:
+                action = menu.addAction(definition.header)
+                action.setCheckable(True)
+                action.setChecked(not self.parent().isColumnHidden(definition.column.value))
+                action.toggled.connect(
+                    lambda checked, column_index=definition.column.value: self.on_column_checked(
+                        column_index, checked
+                    )
                 )
-            )
         menu.exec(event.globalPos())
 
     def on_column_checked(self, column_index: int, checked: bool):
-        self.setSectionHidden(column_index, not checked)
+        # Find the column definition for this index
+        column_def = None
+        for definition in column_definitions:
+            if definition.column.value == column_index:
+                column_def = definition
+                break
+
+        # If we're hiding the column, save its current width first
+        if not checked and not self.parent().isColumnHidden(column_index):
+            current_width = self.parent().columnWidth(column_index)
+            if current_width > 0:  # Only save if there's a meaningful width
+                self.parent().settings.begin_group(self.parent().settings.Key.TRANSCRIPTION_TASKS_TABLE_COLUMN_WIDTHS)
+                self.parent().settings.settings.setValue(column_def.id, current_width)
+                self.parent().settings.end_group()
+
+        # Update the visibility state on the table view (not header view)
+        self.parent().setColumnHidden(column_index, not checked)
+        
+        # Save current column order before any reloading
+        self.parent().save_column_order()
+        
+        # Save both visibility and widths after the change
         self.parent().save_column_visibility()
+        self.parent().save_column_widths()
+        
+        # Ensure settings are synchronized
+        self.parent().settings.settings.sync()
+        
+        # Force a complete refresh of the table
+        self.parent().viewport().update()
+        self.parent().repaint()
+        self.parent().horizontalHeader().update()
+        self.parent().updateGeometry()
+        self.parent().adjustSize()
+        
+        # Force a model refresh to ensure the view is updated
+        self.parent().model().layoutChanged.emit()
+
+        self.parent().reload_column_order_from_settings()
 
 class TranscriptionTasksTableWidget(QTableView):
     return_clicked = pyqtSignal()
+    delete_requested = pyqtSignal()
 
     def __init__(self, parent: Optional[QWidget] = None):
         super().__init__(parent)
+        self.transcription_service = None
 
         self.setHorizontalHeader(TranscriptionTasksTableHeaderView(Qt.Orientation.Horizontal, self))
 
@@ -193,57 +250,68 @@ class TranscriptionTasksTableWidget(QTableView):
 
         self.settings = Settings()
 
-        self.settings.begin_group(
-            Settings.Key.TRANSCRIPTION_TASKS_TABLE_COLUMN_VISIBILITY
-        )
+        # Set up column headers and delegates
         for definition in column_definitions:
             self.model().setHeaderData(
                 definition.column.value,
                 Qt.Orientation.Horizontal,
                 definition.header,
             )
-
-            visible = True
-            if definition.hidden_toggleable:
-                visible = self.settings.settings.value(definition.id, "true") in {"true", "True", True}
-
-            self.setColumnHidden(definition.column.value, not visible)
-            if definition.width is not None:
-                self.setColumnWidth(definition.column.value, definition.width)
             if definition.delegate is not None:
                 self.setItemDelegateForColumn(
                     definition.column.value, definition.delegate
                 )
-        self.settings.end_group()
+
+        # Load column visibility
+        self.load_column_visibility()
 
         self.model().select()
         self.setEditTriggers(QAbstractItemView.EditTrigger.NoEditTriggers)
         self.setSelectionBehavior(QAbstractItemView.SelectionBehavior.SelectRows)
         self.verticalHeader().hide()
         self.setAlternatingRowColors(True)
+        
+        # Enable column sorting and moving
+        self.setSortingEnabled(True)
+        self.horizontalHeader().setSectionsMovable(True)
+        self.horizontalHeader().setSectionsClickable(True)
+        self.horizontalHeader().setSortIndicatorShown(True)
 
-        # Show date added before date completed
-        self.horizontalHeader().swapSections(11, 12)
+        # Connect signals for column resize and move
+        self.horizontalHeader().sectionResized.connect(self.on_column_resized)
+        self.horizontalHeader().sectionMoved.connect(self.on_column_moved)
+        self.horizontalHeader().sortIndicatorChanged.connect(self.on_sort_indicator_changed)
+
+        # Load saved column order, widths, and sort state
+        self.load_column_order()
+        self.load_column_widths()
+        self.load_sort_state()
+
+
+        # Reload column visibility after all reordering is complete
+        self.load_column_visibility()
 
     def contextMenuEvent(self, event):
         menu = QMenu(self)
-        for definition in column_definitions:
-            if not definition.hidden_toggleable:
-                continue
-            action = menu.addAction(definition.header)
-            action.setCheckable(True)
-            action.setChecked(not self.isColumnHidden(definition.column.value))
-            action.toggled.connect(
-                lambda checked,
-                column_index=definition.column.value: self.on_column_checked(
-                    column_index, checked
-                )
-            )
-        menu.exec(event.globalPos())
+        
+        # Add transcription actions if a row is selected
+        selected_rows = self.selectionModel().selectedRows()
+        if selected_rows:
+            transcription = self.transcription(selected_rows[0])
 
-    def on_column_checked(self, column_index: int, checked: bool):
-        self.setColumnHidden(column_index, not checked)
-        self.save_column_visibility()
+            # Add restart/continue action for failed/canceled tasks
+            if transcription.status in ["failed", "canceled"]:
+                restart_action = menu.addAction(_("Restart Transcription"))
+                restart_action.triggered.connect(self.on_restart_transcription_action)
+                menu.addSeparator()
+            
+            rename_action = menu.addAction(_("Rename"))
+            rename_action.triggered.connect(self.on_rename_action)
+            
+            notes_action = menu.addAction(_("Add/Edit Notes"))
+            notes_action.triggered.connect(self.on_notes_action)
+        
+        menu.exec(event.globalPos())
 
     def save_column_visibility(self):
         self.settings.begin_group(
@@ -255,6 +323,225 @@ class TranscriptionTasksTableWidget(QTableView):
             )
         self.settings.end_group()
 
+    def on_column_resized(self, logical_index: int, old_size: int, new_size: int):
+        """Handle column resize events"""
+        self.save_column_widths()
+
+    def on_column_moved(self, logical_index: int, old_visual_index: int, new_visual_index: int):
+        """Handle column move events"""
+        self.save_column_order()
+        # Refresh visibility after column move to ensure it's maintained
+        self.load_column_visibility()
+
+    def on_sort_indicator_changed(self, logical_index: int, order: Qt.SortOrder):
+        """Handle sort indicator change events"""
+        self.save_sort_state()
+
+    def on_double_click(self, index: QModelIndex):
+        """Handle double-click events - trigger notes edit for notes column"""
+        if index.column() == Column.NOTES.value:
+            self.on_notes_action()
+
+    def save_column_widths(self):
+        """Save current column widths to settings"""
+        self.settings.begin_group(Settings.Key.TRANSCRIPTION_TASKS_TABLE_COLUMN_WIDTHS)
+        for definition in column_definitions:
+            # Only save width if column is visible and has a meaningful width
+            if not self.isColumnHidden(definition.column.value):
+                width = self.columnWidth(definition.column.value)
+                if width > 0:  # Only save if there's a meaningful width
+                    self.settings.settings.setValue(definition.id, width)
+        self.settings.end_group()
+
+    def save_column_order(self):
+        """Save current column order to settings"""
+        self.settings.begin_group(Settings.Key.TRANSCRIPTION_TASKS_TABLE_COLUMN_ORDER)
+        header = self.horizontalHeader()
+        for visual_index in range(header.count()):
+            logical_index = header.logicalIndex(visual_index)
+            # Find the column definition for this logical index
+            for definition in column_definitions:
+                if definition.column.value == logical_index:
+                    self.settings.settings.setValue(definition.id, visual_index)
+                    break
+        self.settings.end_group()
+
+    def load_column_widths(self):
+        """Load saved column widths from settings"""
+        self.settings.begin_group(Settings.Key.TRANSCRIPTION_TASKS_TABLE_COLUMN_WIDTHS)
+        for definition in column_definitions:
+            if definition.width is not None:  # Only load if column has a default width
+                saved_width = self.settings.settings.value(definition.id, definition.width)
+                if saved_width is not None:
+                    self.setColumnWidth(definition.column.value, int(saved_width))
+        self.settings.end_group()
+
+    def save_sort_state(self):
+        """Save current sort state to settings"""
+        self.settings.begin_group(Settings.Key.TRANSCRIPTION_TASKS_TABLE_SORT_STATE)
+        header = self.horizontalHeader()
+        self.settings.settings.setValue("column", header.sortIndicatorSection())
+        self.settings.settings.setValue("order", header.sortIndicatorOrder().value)
+        self.settings.end_group()
+
+    def load_sort_state(self):
+        """Load saved sort state from settings"""
+        self.settings.begin_group(Settings.Key.TRANSCRIPTION_TASKS_TABLE_SORT_STATE)
+        column = self.settings.settings.value("column")
+        order = self.settings.settings.value("order")
+        self.settings.end_group()
+
+        if column is not None and order is not None:
+            sort_order = Qt.SortOrder(int(order))
+            self.sortByColumn(int(column), sort_order)
+
+    def load_column_visibility(self):
+        """Load saved column visibility from settings"""
+        self.settings.begin_group(Settings.Key.TRANSCRIPTION_TASKS_TABLE_COLUMN_VISIBILITY)
+        for definition in column_definitions:
+            visible = True
+            if definition.hidden_toggleable:
+                value = self.settings.settings.value(definition.id, "true")
+                visible = value in {"true", "True", True}
+            
+            self.setColumnHidden(definition.column.value, not visible)
+        self.settings.end_group()
+        
+        # Force a refresh of the table layout
+        self.horizontalHeader().update()
+        self.viewport().update()
+        self.updateGeometry()
+
+    def load_column_order(self):
+        """Load saved column order from settings"""
+        self.settings.begin_group(Settings.Key.TRANSCRIPTION_TASKS_TABLE_COLUMN_ORDER)
+        
+        # Create a mapping of column IDs to their saved visual positions
+        column_positions = {}
+        for definition in column_definitions:
+            saved_position = self.settings.settings.value(definition.id)
+            if saved_position is not None:
+                column_positions[definition.column.value] = int(saved_position)
+        
+        self.settings.end_group()
+        
+        # Apply the saved order
+        if column_positions:
+            header = self.horizontalHeader()
+            for logical_index, visual_position in column_positions.items():
+                if 0 <= visual_position < header.count():
+                    header.moveSection(header.visualIndex(logical_index), visual_position)
+    
+    def reset_column_order(self):
+        """Reset column order to default"""
+
+        # Reset column widths to defaults
+        for definition in column_definitions:
+            if definition.width is not None:
+                self.setColumnWidth(definition.column.value, definition.width)
+
+        # Show all columns
+        for definition in column_definitions:
+            self.setColumnHidden(definition.column.value, False)
+
+        # Restore default column order
+        header = self.horizontalHeader()
+        # Move each section to its default position in order
+        # To avoid index shifting, move from left to right
+        for target_visual_index, definition in enumerate(column_definitions):
+            logical_index = definition.column.value
+            current_visual_index = header.visualIndex(logical_index)
+            if current_visual_index != target_visual_index:
+                header.moveSection(current_visual_index, target_visual_index)
+
+        # Reset sort to default (TIME_QUEUED descending)
+        self.sortByColumn(Column.TIME_QUEUED.value, Qt.SortOrder.DescendingOrder)
+
+        # Clear saved settings
+        self.settings.begin_group(Settings.Key.TRANSCRIPTION_TASKS_TABLE_COLUMN_ORDER)
+        self.settings.settings.remove("")
+        self.settings.end_group()
+
+        self.settings.begin_group(Settings.Key.TRANSCRIPTION_TASKS_TABLE_COLUMN_WIDTHS)
+        self.settings.settings.remove("")
+        self.settings.end_group()
+
+        self.settings.begin_group(Settings.Key.TRANSCRIPTION_TASKS_TABLE_SORT_STATE)
+        self.settings.settings.remove("")
+        self.settings.end_group()
+
+        # Save the reset state for visibility, widths, and sort
+        self.save_column_visibility()
+        self.save_column_widths()
+        self.save_sort_state()
+
+        # Force a refresh of the table layout
+        self.horizontalHeader().update()
+        self.viewport().update()
+        self.updateGeometry()
+
+    def reload_column_order_from_settings(self):
+        """Reload column order, width, and visibility from settings"""
+
+        # --- Load column visibility ---
+        self.settings.begin_group(Settings.Key.TRANSCRIPTION_TASKS_TABLE_COLUMN_VISIBILITY)
+        visibility_settings = {}
+        for definition in column_definitions:
+            vis = self.settings.settings.value(definition.id)
+            if vis is not None:
+                visibility_settings[definition.id] = str(vis).lower() not in ("0", "false", "no")
+        self.settings.end_group()
+
+        # --- Load column widths ---
+        self.settings.begin_group(Settings.Key.TRANSCRIPTION_TASKS_TABLE_COLUMN_WIDTHS)
+        width_settings = {}
+        for definition in column_definitions:
+            width = self.settings.settings.value(definition.id)
+            if width is not None:
+                try:
+                    width_settings[definition.id] = int(width)
+                except Exception:
+                    pass
+        self.settings.end_group()
+
+        # --- Load column order ---
+        self.settings.begin_group(Settings.Key.TRANSCRIPTION_TASKS_TABLE_COLUMN_ORDER)
+        order_settings = {}
+        for definition in column_definitions:
+            pos = self.settings.settings.value(definition.id)
+            if pos is not None:
+                try:
+                    order_settings[definition.column.value] = int(pos)
+                except Exception:
+                    pass
+        self.settings.end_group()
+
+        # --- Apply visibility, widths, and order ---
+        header = self.horizontalHeader()
+
+        # First, set visibility and width for each column
+        for definition in column_definitions:
+            is_visible = visibility_settings.get(definition.id, True)
+            width = width_settings.get(definition.id, definition.width)
+            self.setColumnHidden(definition.column.value, not is_visible)
+            if width is not None:
+                self.setColumnWidth(definition.column.value, max(width, 100))
+
+        # Then, apply column order
+        # Build a list of (logical_index, visual_position) for ALL columns (including hidden ones)
+        all_columns = [
+            (definition.column.value, order_settings.get(definition.column.value, idx))
+            for idx, definition in enumerate(column_definitions)
+        ]
+        # Sort by saved visual position
+        all_columns.sort(key=lambda x: x[1])
+
+        # Move sections to match the saved order
+        for target_visual, (logical_index, _) in enumerate(all_columns):
+            current_visual = header.visualIndex(logical_index)
+            if current_visual != target_visual:
+                header.moveSection(current_visual, target_visual)
+
     def copy_selected_fields(self):
         selected_text = ""
         for row in self.selectionModel().selectedRows():
@@ -267,10 +554,26 @@ class TranscriptionTasksTableWidget(QTableView):
         selected_text = selected_text.rstrip("\n")
         QApplication.clipboard().setText(selected_text)
 
+    def mouseDoubleClickEvent(self, event: QtGui.QMouseEvent) -> None:
+        """Override double-click to prevent default behavior when clicking on notes column"""
+        index = self.indexAt(event.pos())
+        if index.isValid() and index.column() == Column.NOTES.value:
+            # Handle our custom double-click action without triggering default behavior
+            self.on_double_click(index)
+            event.accept()
+        else:
+            # For other columns, use default behavior
+            super().mouseDoubleClickEvent(event)
+
     def keyPressEvent(self, event: QtGui.QKeyEvent) -> None:
         if event.key() == Qt.Key.Key_Return:
             self.return_clicked.emit()
 
+        if event.key() == Qt.Key.Key_Delete:
+            if self.selectionModel().selectedRows():
+                self.delete_requested.emit()
+            return
+
         if event.matches(QKeySequence.StandardKey.Copy):
             self.copy_selected_fields()
             return
@@ -309,4 +612,196 @@ class TranscriptionTasksTableWidget(QTableView):
         result = f"{mm}m {result}"
         if hh == 0:
             return result
-        return f"{hh}h {result}"
+        return f"{hh}h {result}"
+
+    def on_rename_action(self):
+        selected_rows = self.selectionModel().selectedRows()
+        if not selected_rows:
+            return
+        
+        # Get the first selected transcription
+        transcription = self.transcription(selected_rows[0])
+        
+        # Get current name or fallback to file name
+        current_name = transcription.name or (
+            transcription.url if transcription.url 
+            else os.path.basename(transcription.file) if transcription.file 
+            else ""
+        )
+        
+        # Show input dialog
+        from PyQt6.QtWidgets import QInputDialog
+        new_name, ok = QInputDialog.getText(
+            self, 
+            _("Rename Transcription"), 
+            _("Enter new name:"), 
+            text=current_name
+        )
+        
+        if ok and new_name.strip():
+            # Update the transcription name
+            from uuid import UUID
+            self.transcription_service.update_transcription_name(
+                UUID(transcription.id), 
+                new_name.strip()
+            )
+            self.refresh_all()
+
+    def on_notes_action(self):
+        selected_rows = self.selectionModel().selectedRows()
+        if not selected_rows:
+            return
+        
+        # Get the first selected transcription
+        transcription = self.transcription(selected_rows[0])
+        
+        # Show input dialog for notes
+        from PyQt6.QtWidgets import QInputDialog
+        current_notes = transcription.notes or ""
+        new_notes, ok = QInputDialog.getMultiLineText(
+            self, 
+            _("Notes"),
+            _("Enter some relevant notes for this transcription:"),
+            text=current_notes
+        )
+        
+        if ok:
+            # Update the transcription notes
+            from uuid import UUID
+            self.transcription_service.update_transcription_notes(
+                UUID(transcription.id), 
+                new_notes
+            )
+            self.refresh_all()
+
+    def on_restart_transcription_action(self):
+        """Restart transcription for failed or canceled tasks"""
+        selected_rows = self.selectionModel().selectedRows()
+        if not selected_rows:
+            return
+        
+        # Get the first selected transcription
+        transcription = self.transcription(selected_rows[0])
+        
+        # Check if the task can be restarted
+        if transcription.status not in ["failed", "canceled"]:
+            from PyQt6.QtWidgets import QMessageBox
+            QMessageBox.information(
+                self, 
+                _("Cannot Restart"), 
+                _("Only failed or canceled transcriptions can be restarted.")
+            )
+            return
+        
+        try:
+            self.transcription_service.reset_transcription_for_restart(UUID(transcription.id))
+            self._restart_transcription_task(transcription)
+            self.refresh_all()
+        except Exception as e:
+            from PyQt6.QtWidgets import QMessageBox
+            QMessageBox.warning(
+                self,
+                _("Error"),
+                _("Failed to restart transcription: {}").format(str(e))
+            )
+    
+    def _restart_transcription_task(self, transcription):
+        """Create a new FileTranscriptionTask and add it to the queue worker"""
+        from buzz.transcriber.transcriber import (
+            FileTranscriptionTask, 
+            TranscriptionOptions, 
+            FileTranscriptionOptions,
+            Task
+        )
+        from buzz.model_loader import TranscriptionModel, ModelType
+        from buzz.transcriber.transcriber import OutputFormat
+        
+        # Recreate the transcription options from the database record
+        from buzz.model_loader import WhisperModelSize
+        
+        # Convert string whisper_model_size to enum if it exists
+        whisper_model_size = None
+        if transcription.whisper_model_size:
+            try:
+                whisper_model_size = WhisperModelSize(transcription.whisper_model_size)
+            except ValueError:
+                # If the stored value is invalid, use a default
+                whisper_model_size = WhisperModelSize.TINY
+        
+        transcription_options = TranscriptionOptions(
+            language=transcription.language if transcription.language else None,
+            task=Task(transcription.task) if transcription.task else Task.TRANSCRIBE,
+            model=TranscriptionModel(
+                model_type=ModelType(transcription.model_type) if transcription.model_type else ModelType.WHISPER,
+                whisper_model_size=whisper_model_size,
+                hugging_face_model_id=transcription.hugging_face_model_id
+            ),
+            word_level_timings=transcription.word_level_timings == "1" if transcription.word_level_timings else False,
+            extract_speech=transcription.extract_speech == "1" if transcription.extract_speech else False,
+            initial_prompt="",  # Not stored in database, use default
+            openai_access_token="",  # Not stored in database, use default
+            enable_llm_translation=False,  # Not stored in database, use default
+            llm_prompt="",  # Not stored in database, use default
+            llm_model=""  # Not stored in database, use default
+        )
+        
+        # Recreate the file transcription options
+        output_formats = set()
+        if transcription.export_formats:
+            for format_str in transcription.export_formats.split(','):
+                try:
+                    output_formats.add(OutputFormat(format_str.strip()))
+                except ValueError:
+                    pass  # Skip invalid formats
+        
+        file_transcription_options = FileTranscriptionOptions(
+            url=transcription.url if transcription.url else None,
+            output_formats=output_formats
+        )
+        
+        # Get the model path from the transcription options
+        model_path = transcription_options.model.get_local_model_path()
+        if model_path is None:
+            # If model is not available locally, we need to download it
+            from buzz.model_loader import ModelDownloader
+            ModelDownloader(model=transcription_options.model).run()
+            model_path = transcription_options.model.get_local_model_path()
+        
+        if model_path is None:
+            from PyQt6.QtWidgets import QMessageBox
+            QMessageBox.warning(
+                self, 
+                _("Error"), 
+                _("Could not restart transcription: model not available and could not be downloaded.")
+            )
+            return
+        
+        # Create the new task
+        task = FileTranscriptionTask(
+            transcription_options=transcription_options,
+            file_transcription_options=file_transcription_options,
+            model_path=model_path,
+            file_path=transcription.file if transcription.file else None,
+            url=transcription.url if transcription.url else None,
+            output_directory=transcription.output_folder if transcription.output_folder else None,
+            source=FileTranscriptionTask.Source(transcription.source) if transcription.source else FileTranscriptionTask.Source.FILE_IMPORT,
+            uid=UUID(transcription.id)
+        )
+        
+        # Add the task to the queue worker
+        # We need to access the main window's transcriber worker
+        # This is a bit of a hack, but it's the cleanest way given the current architecture
+        main_window = self.parent()
+        while main_window and not hasattr(main_window, 'transcriber_worker'):
+            main_window = main_window.parent()
+        
+        if main_window and hasattr(main_window, 'transcriber_worker'):
+            main_window.transcriber_worker.add_task(task)
+        else:
+            # Fallback: show error if we can't find the transcriber worker
+            from PyQt6.QtWidgets import QMessageBox
+            QMessageBox.warning(
+                self, 
+                _("Error"), 
+                _("Could not restart transcription: transcriber worker not found.")
+            )

buzz/widgets/transcription_viewer/speaker_identification_widget.py

@@ -0,0 +1,800 @@
+import re
+import os
+import logging
+import ssl
+import time
+import random
+from typing import Optional
+
+# Fix SSL certificate verification for bundled applications (macOS, Windows)
+# This must be done before importing libraries that download from Hugging Face
+try:
+    import certifi
+    os.environ.setdefault('REQUESTS_CA_BUNDLE', certifi.where())
+    os.environ.setdefault('SSL_CERT_FILE', certifi.where())
+    os.environ.setdefault('SSL_CERT_DIR', os.path.dirname(certifi.where()))
+    # Also update the default SSL context for urllib
+    ssl._create_default_https_context = lambda: ssl.create_default_context(cafile=certifi.where())
+except ImportError:
+    pass
+
+import faster_whisper
+import torch
+from PyQt6.QtMultimedia import QMediaPlayer, QAudioOutput
+from PyQt6.QtCore import Qt, QThread, QObject, pyqtSignal, QUrl, QTimer
+from PyQt6.QtGui import QFont
+from PyQt6.QtWidgets import (
+    QWidget,
+    QFormLayout,
+    QVBoxLayout,
+    QHBoxLayout,
+    QLabel,
+    QProgressBar,
+    QPushButton,
+    QCheckBox,
+    QGroupBox,
+    QSpacerItem,
+    QSizePolicy,
+    QLayout,
+)
+from buzz.locale import _
+from buzz.db.entity.transcription import Transcription
+from buzz.db.service.transcription_service import TranscriptionService
+from buzz.paths import file_path_as_title
+from buzz.settings.settings import Settings
+from buzz.widgets.line_edit import LineEdit
+from buzz.transcriber.transcriber import Segment
+
+
+
+def process_in_batches(
+    items,
+    process_func,
+    batch_size=200,
+    chunk_size=230,
+    smaller_batch_size=100,
+    exception_types=(AssertionError,),
+    **process_func_kwargs
+):
+    """
+    Process items in batches with automatic fallback to smaller batches on errors.
+    
+    This is a generic batch processing function that can be used with any processing
+    function that has chunk size limitations. It automatically retries with smaller
+    batches when specified exceptions occur.
+    
+    Args:
+        items: List of items to process
+        process_func: Callable that processes a batch. Should accept (batch, chunk_size, **kwargs)
+                      and return a list of results
+        batch_size: Initial batch size (default: 200)
+        chunk_size: Maximum chunk size for the processing function (default: 230)
+        smaller_batch_size: Fallback batch size when errors occur (default: 100)
+        exception_types: Tuple of exception types to catch and retry with smaller batches
+                        (default: (AssertionError,))
+        **process_func_kwargs: Additional keyword arguments to pass to process_func
+        
+    Returns:
+        List of processed results (concatenated from all batches)
+        
+    Example:
+        >>> def my_predict(batch, chunk_size):
+        ...     return [f"processed_{item}" for item in batch]
+        >>> results = process_in_batches(
+        ...     items=["a", "b", "c"],
+        ...     process_func=my_predict,
+        ...     batch_size=2
+        ... )
+    """
+    all_results = []
+
+    for i in range(0, len(items), batch_size):
+        batch = items[i:i + batch_size]
+        try:
+            batch_results = process_func(batch, chunk_size=min(chunk_size, len(batch)), **process_func_kwargs)
+            all_results.extend(batch_results)
+        except exception_types as e:
+            # If batch still fails, try with even smaller chunks
+            logging.warning(f"Batch processing failed, trying smaller chunks: {e}")
+            for j in range(0, len(batch), smaller_batch_size):
+                smaller_batch = batch[j:j + smaller_batch_size]
+                smaller_results = process_func(smaller_batch, chunk_size=min(chunk_size, len(smaller_batch)), **process_func_kwargs)
+                all_results.extend(smaller_results)
+
+    return all_results
+
+SENTENCE_END = re.compile(r'.*[.!?。！？]')
+
+class IdentificationWorker(QObject):
+    finished = pyqtSignal(list)
+    progress_update = pyqtSignal(str)
+    error = pyqtSignal(str)
+
+    def __init__(self, transcription, transcription_service):
+        super().__init__()
+        self.transcription = transcription
+        self.transcription_service = transcription_service
+        self._is_cancelled = False
+
+    def cancel(self):
+        """Request cancellation of the worker."""
+        self._is_cancelled = True
+
+    def get_transcript(self, audio, **kwargs) -> dict:
+        buzz_segments = self.transcription_service.get_transcription_segments(
+            transcription_id=self.transcription.id_as_uuid
+        )
+
+        segments = []
+        words = []
+        text = ""
+        for buzz_segment in buzz_segments:
+            words.append({
+                'word': buzz_segment.text + " ",
+                'start': buzz_segment.start_time / 100,
+                'end': buzz_segment.end_time / 100,
+            })
+            text += buzz_segment.text + " "
+
+            if SENTENCE_END.match(buzz_segment.text):
+                segments.append({
+                    'text': text,
+                    'words': words
+                })
+                words = []
+                text = ""
+
+        return {
+            'language': self.transcription.language,
+            'segments': segments
+        }
+
+    def run(self):
+        try:
+            from ctc_forced_aligner.ctc_forced_aligner import (
+                generate_emissions,
+                get_alignments,
+                get_spans,
+                load_alignment_model,
+                postprocess_results,
+                preprocess_text,
+            )
+            from whisper_diarization.helpers import (
+                get_realigned_ws_mapping_with_punctuation,
+                get_sentences_speaker_mapping,
+                get_words_speaker_mapping,
+                langs_to_iso,
+                punct_model_langs,
+            )
+            from deepmultilingualpunctuation.deepmultilingualpunctuation import PunctuationModel
+            from whisper_diarization.diarization import MSDDDiarizer
+        except ImportError as e:
+            logging.exception("Failed to import speaker identification libraries: %s", e)
+            self.error.emit(
+                _("Speaker identification is not available: failed to load required libraries.")
+                + f"\n\n{e}"
+            )
+            return
+
+        diarizer_model = None
+        alignment_model = None
+
+        try:
+            logging.debug("Speaker identification worker: Starting")
+            self.progress_update.emit(_("1/8 Collecting transcripts"))
+
+            if self._is_cancelled:
+                logging.debug("Speaker identification worker: Cancelled at step 1")
+                return
+
+            # Step 1 - Get transcript
+            # TODO - Add detected language to the transcript, detect and store separately in metadata
+            #        Will also be relevant for template parsing of transcript file names
+            #        - See diarize.py for example on how to get this info from whisper transcript, maybe other whisper models also have it
+            language = self.transcription.language if self.transcription.language else "en"
+
+            segments = self.transcription_service.get_transcription_segments(
+                transcription_id=self.transcription.id_as_uuid
+            )
+
+            full_transcript = " ".join(segment.text for segment in segments)
+            full_transcript = re.sub(r' {2,}', ' ', full_transcript)
+
+            if self._is_cancelled:
+                logging.debug("Speaker identification worker: Cancelled at step 2")
+                return
+
+            self.progress_update.emit(_("2/8 Loading audio"))
+            audio_waveform = faster_whisper.decode_audio(self.transcription.file)
+
+            # Step 2 - Forced alignment
+            force_cpu = os.getenv("BUZZ_FORCE_CPU", "false")
+            use_cuda = torch.cuda.is_available() and force_cpu == "false"
+            device = "cuda" if use_cuda else "cpu"
+            torch_dtype = torch.float16 if use_cuda else torch.float32
+
+            logging.debug(f"Speaker identification worker: Using device={device}")
+
+            if self._is_cancelled:
+                logging.debug("Speaker identification worker: Cancelled at step 3")
+                return
+
+            self.progress_update.emit(_("3/8 Loading alignment model"))
+            alignment_model = None
+            alignment_tokenizer = None
+            for attempt in range(3):
+                try:
+                    alignment_model, alignment_tokenizer = load_alignment_model(
+                        device,
+                        dtype=torch_dtype,
+                    )
+                    break
+                except Exception as e:
+                    if attempt < 2:
+                        logging.warning(
+                            f"Speaker identification: Failed to load alignment model "
+                            f"(attempt {attempt + 1}/3), retrying: {e}"
+                        )
+                        # On retry, try using cached models only (offline mode)
+                        # Set at runtime by modifying the library constants directly
+                        # (env vars are only read at import time)
+                        try:
+                            import huggingface_hub.constants
+                            huggingface_hub.constants.HF_HUB_OFFLINE = True
+                            logging.debug("Speaker identification: Enabled HF offline mode")
+                        except Exception as offline_err:
+                            logging.warning(f"Failed to set offline mode: {offline_err}")
+                        self.progress_update.emit(
+                            _("3/8 Loading alignment model (retrying with cache...)")
+                        )
+                        time.sleep(2 ** attempt)  # 1s, 2s backoff
+                    else:
+                        raise RuntimeError(
+                            _("Failed to load alignment model. "
+                              "Please check your internet connection and try again.")
+                        ) from e
+
+            if self._is_cancelled:
+                logging.debug("Speaker identification worker: Cancelled at step 4")
+                return
+
+            self.progress_update.emit(_("4/8 Processing audio"))
+            logging.debug("Speaker identification worker: Generating emissions")
+            emissions, stride = generate_emissions(
+                alignment_model,
+                torch.from_numpy(audio_waveform)
+                .to(alignment_model.dtype)
+                .to(alignment_model.device),
+                batch_size=1 if device == "cpu" else 8,
+            )
+            logging.debug("Speaker identification worker: Emissions generated")
+
+            # Clean up alignment model
+            del alignment_model
+            alignment_model = None
+            torch.cuda.empty_cache()
+
+            if self._is_cancelled:
+                logging.debug("Speaker identification worker: Cancelled at step 5")
+                return
+
+            self.progress_update.emit(_("5/8 Preparing transcripts"))
+            tokens_starred, text_starred = preprocess_text(
+                full_transcript,
+                romanize=True,
+                language=langs_to_iso[language],
+            )
+
+            segments, scores, blank_token = get_alignments(
+                emissions,
+                tokens_starred,
+                alignment_tokenizer,
+            )
+
+            spans = get_spans(tokens_starred, segments, blank_token)
+
+            word_timestamps = postprocess_results(text_starred, spans, stride, scores)
+
+            if self._is_cancelled:
+                logging.debug("Speaker identification worker: Cancelled at step 6")
+                return
+
+            # Step 3 - Diarization
+            self.progress_update.emit(_("6/8 Identifying speakers"))
+
+            # Silence NeMo's verbose logging
+            logging.getLogger("nemo_logging").setLevel(logging.ERROR)
+            try:
+                # Also try to silence NeMo's internal logging system
+                from nemo.utils import logging as nemo_logging
+                nemo_logging.setLevel(logging.ERROR)
+            except (ImportError, AttributeError):
+                pass
+
+            logging.debug("Speaker identification worker: Creating diarizer model")
+            diarizer_model = MSDDDiarizer(device)
+            logging.debug("Speaker identification worker: Running diarization (this may take a while on CPU)")
+            speaker_ts = diarizer_model.diarize(torch.from_numpy(audio_waveform).unsqueeze(0))
+            logging.debug("Speaker identification worker: Diarization complete")
+
+            if self._is_cancelled:
+                logging.debug("Speaker identification worker: Cancelled after diarization")
+                return
+
+            # Clean up diarizer model immediately after use
+            del diarizer_model
+            diarizer_model = None
+            torch.cuda.empty_cache()
+
+            if self._is_cancelled:
+                logging.debug("Speaker identification worker: Cancelled at step 7")
+                return
+
+            # Step 4 - Reading timestamps <> Speaker Labels mapping
+            self.progress_update.emit(_("7/8 Mapping speakers to transcripts"))
+
+            wsm = get_words_speaker_mapping(word_timestamps, speaker_ts, "start")
+
+            if language in punct_model_langs:
+                # restoring punctuation in the transcript to help realign the sentences
+                punct_model = PunctuationModel(model="kredor/punctuate-all")
+
+                words_list = list(map(lambda x: x["word"], wsm))
+
+                # Process in batches to avoid chunk size errors
+                def predict_wrapper(batch, chunk_size, **kwargs):
+                    return punct_model.predict(batch, chunk_size=chunk_size)
+                
+                labled_words = process_in_batches(
+                    items=words_list,
+                    process_func=predict_wrapper
+                )
+
+                ending_puncts = ".?!。！？"
+                model_puncts = ".,;:!?。！？"
+
+                # We don't want to punctuate U.S.A. with a period. Right?
+                is_acronym = lambda x: re.fullmatch(r"\b(?:[a-zA-Z]\.){2,}", x)
+
+                for word_dict, labeled_tuple in zip(wsm, labled_words):
+                    word = word_dict["word"]
+                    if (
+                            word
+                            and labeled_tuple[1] in ending_puncts
+                            and (word[-1] not in model_puncts or is_acronym(word))
+                    ):
+                        word += labeled_tuple[1]
+                        if word.endswith(".."):
+                            word = word.rstrip(".")
+                        word_dict["word"] = word
+
+            else:
+                logging.warning(
+                    f"Punctuation restoration is not available for {language} language."
+                    " Using the original punctuation."
+                )
+
+            wsm = get_realigned_ws_mapping_with_punctuation(wsm)
+            ssm = get_sentences_speaker_mapping(wsm, speaker_ts)
+
+            logging.debug("Speaker identification worker: Finished successfully")
+            self.progress_update.emit(_("8/8 Identification done"))
+            self.finished.emit(ssm)
+
+        except Exception as e:
+            logging.error(f"Speaker identification worker: Error - {e}", exc_info=True)
+            self.progress_update.emit(_("0/0 Error identifying speakers"))
+            self.error.emit(str(e))
+            # Emit empty list so the UI can reset properly
+            self.finished.emit([])
+
+        finally:
+            # Ensure cleanup happens regardless of how we exit
+            logging.debug("Speaker identification worker: Cleaning up resources")
+            if diarizer_model is not None:
+                try:
+                    del diarizer_model
+                except Exception:
+                    pass
+            if alignment_model is not None:
+                try:
+                    del alignment_model
+                except Exception:
+                    pass
+            torch.cuda.empty_cache()
+            # Reset offline mode so it doesn't affect other operations
+            try:
+                import huggingface_hub.constants
+                huggingface_hub.constants.HF_HUB_OFFLINE = False
+            except Exception:
+                pass
+
+
+class SpeakerIdentificationWidget(QWidget):
+    resize_button_clicked = pyqtSignal()
+    transcription: Transcription
+    settings = Settings()
+
+    def __init__(
+        self,
+        transcription: Transcription,
+        transcription_service: TranscriptionService,
+        parent: Optional["QWidget"] = None,
+        flags: Qt.WindowType = Qt.WindowType.Widget,
+        transcriptions_updated_signal: Optional[pyqtSignal] = None,
+    ) -> None:
+        super().__init__(parent, flags)
+        self.transcription = transcription
+        self.transcription_service = transcription_service
+        self.transcriptions_updated_signal = transcriptions_updated_signal
+
+        self.identification_result = None
+
+        self.thread = None
+        self.worker = None
+        self.needs_layout_update = False
+
+        self.setMinimumWidth(650)
+        self.setMinimumHeight(400)
+
+        self.setWindowTitle(file_path_as_title(transcription.file))
+
+        layout = QFormLayout(self)
+        layout.setSizeConstraint(QLayout.SizeConstraint.SetMinAndMaxSize)
+
+        # Step 1: Identify speakers
+        step_1_label = QLabel(_("Step 1: Identify speakers"), self)
+        font = step_1_label.font()
+        font.setWeight(QFont.Weight.Bold)
+        step_1_label.setFont(font)
+        layout.addRow(step_1_label)
+
+        step_1_group_box = QGroupBox(self)
+        step_1_group_box.setSizePolicy(QSizePolicy.Policy.Expanding, QSizePolicy.Policy.Expanding)
+        step_1_layout = QVBoxLayout(step_1_group_box)
+
+        self.step_1_row = QHBoxLayout()
+
+        self.step_1_button = QPushButton(_("Identify"))
+        self.step_1_button.setMinimumWidth(200)
+        self.step_1_button.clicked.connect(self.on_identify_button_clicked)
+
+        self.cancel_button = QPushButton(_("Cancel"))
+        self.cancel_button.setMinimumWidth(200)
+        self.cancel_button.setVisible(False)
+        self.cancel_button.clicked.connect(self.on_cancel_button_clicked)
+
+        # Progress container with label and bar
+        progress_container = QVBoxLayout()
+
+        self.progress_label = QLabel(self)
+        if os.path.isfile(self.transcription.file):
+            self.progress_label.setText(_("Ready to identify speakers"))
+        else:
+            self.progress_label.setText(_("Audio file not found"))
+            self.step_1_button.setEnabled(False)
+
+        self.progress_bar = QProgressBar(self)
+        self.progress_bar.setMinimumWidth(400)
+        self.progress_bar.setRange(0, 8)
+        self.progress_bar.setValue(0)
+
+        progress_container.addWidget(self.progress_label)
+        progress_container.addWidget(self.progress_bar)
+
+        self.step_1_row.addLayout(progress_container)
+
+        button_container = QVBoxLayout()
+        button_container.addWidget(self.step_1_button)
+        button_container.addWidget(self.cancel_button)
+        self.step_1_row.addLayout(button_container)
+
+        step_1_layout.addLayout(self.step_1_row)
+
+        layout.addRow(step_1_group_box)
+
+        # Spacer
+        spacer = QSpacerItem(0, 10, QSizePolicy.Policy.Minimum, QSizePolicy.Policy.Fixed)
+        layout.addItem(spacer)
+
+        # Step 2: Name speakers
+        step_2_label = QLabel(_("Step 2: Name speakers"), self)
+        font = step_2_label.font()
+        font.setWeight(QFont.Weight.Bold)
+        step_2_label.setFont(font)
+        layout.addRow(step_2_label)
+
+        self.step_2_group_box = QGroupBox(self)
+        self.step_2_group_box.setSizePolicy(QSizePolicy.Policy.Expanding, QSizePolicy.Policy.Expanding)
+        self.step_2_group_box.setEnabled(False)
+        step_2_layout = QVBoxLayout(self.step_2_group_box)
+
+        self.speaker_preview_row = QVBoxLayout()
+
+        self.speaker_0_input = LineEdit("Speaker 0", self)
+
+        self.speaker_0_preview_button = QPushButton(_("Play sample"))
+        self.speaker_0_preview_button.setMinimumWidth(200)
+        self.speaker_0_preview_button.clicked.connect(lambda: self.on_speaker_preview("Speaker 0"))
+
+        speaker_0_layout = QHBoxLayout()
+        speaker_0_layout.addWidget(self.speaker_0_input)
+        speaker_0_layout.addWidget(self.speaker_0_preview_button)
+
+        self.speaker_preview_row.addLayout(speaker_0_layout)
+
+        step_2_layout.addLayout(self.speaker_preview_row)
+
+        layout.addRow(self.step_2_group_box)
+
+        # Save button
+        self.merge_speaker_sentences = QCheckBox(_("Merge speaker sentences"))
+        self.merge_speaker_sentences.setChecked(True)
+        self.merge_speaker_sentences.setEnabled(False)
+        self.merge_speaker_sentences.setMinimumWidth(250)
+
+        self.save_button = QPushButton(_("Save"))
+        self.save_button.setEnabled(False)
+        self.save_button.clicked.connect(self.on_save_button_clicked)
+
+        layout.addRow(self.merge_speaker_sentences)
+        layout.addRow(self.save_button)
+
+        self.setLayout(layout)
+
+        # Invisible preview player
+        url = QUrl.fromLocalFile(self.transcription.file)
+        self.player = QMediaPlayer()
+        self.audio_output = QAudioOutput()
+        self.player.setAudioOutput(self.audio_output)
+        self.player.setSource(url)
+        self.player_timer = None
+
+    def on_identify_button_clicked(self):
+        self.step_1_button.setEnabled(False)
+        self.step_1_button.setVisible(False)
+        self.cancel_button.setVisible(True)
+
+        # Clean up any existing thread before starting a new one
+        self._cleanup_thread()
+
+        logging.debug("Speaker identification: Starting identification thread")
+
+        self.thread = QThread()
+        self.worker = IdentificationWorker(
+            self.transcription,
+            self.transcription_service
+        )
+        self.worker.moveToThread(self.thread)
+        self.thread.started.connect(self.worker.run)
+        self.worker.finished.connect(self._on_thread_finished)
+        self.worker.progress_update.connect(self.on_progress_update)
+        self.worker.error.connect(self.on_identification_error)
+
+        self.thread.start()
+
+    def on_cancel_button_clicked(self):
+        """Handle cancel button click."""
+        logging.debug("Speaker identification: Cancel requested by user")
+        self.cancel_button.setEnabled(False)
+        self.progress_label.setText(_("Cancelling..."))
+        self._cleanup_thread()
+        self._reset_buttons()
+        self.progress_label.setText(_("Cancelled"))
+        self.progress_bar.setValue(0)
+
+    def _reset_buttons(self):
+        """Reset identify/cancel buttons to initial state."""
+        self.step_1_button.setVisible(True)
+        self.step_1_button.setEnabled(True)
+        self.cancel_button.setVisible(False)
+        self.cancel_button.setEnabled(True)
+
+    def _on_thread_finished(self, result):
+        """Handle thread completion and cleanup."""
+        logging.debug("Speaker identification: Thread finished")
+        if self.thread is not None:
+            self.thread.quit()
+            self.thread.wait(5000)
+        self._reset_buttons()
+        self.on_identification_finished(result)
+
+    def on_identification_error(self, error_message):
+        """Handle identification error."""
+        logging.error(f"Speaker identification error: {error_message}")
+        self._reset_buttons()
+        self.progress_bar.setValue(0)
+
+    def on_progress_update(self, progress):
+        self.progress_label.setText(progress)
+
+        progress_value = 0
+        if progress and progress[0].isdigit():
+            progress_value = int(progress[0])
+            self.progress_bar.setValue(progress_value)
+        else:
+            logging.error(f"Invalid progress format: {progress}")
+
+        if progress_value == 8:
+            self.step_2_group_box.setEnabled(True)
+            self.merge_speaker_sentences.setEnabled(True)
+            self.save_button.setEnabled(True)
+
+    def on_identification_finished(self, result):
+        self.identification_result = result
+
+        # Handle empty results (error case)
+        if not result:
+            logging.debug("Speaker identification: Empty result received")
+            return
+
+        unique_speakers = {entry['speaker'] for entry in result}
+
+        while self.speaker_preview_row.count():
+            item = self.speaker_preview_row.takeAt(0)
+            widget = item.widget()
+            if widget:
+                widget.deleteLater()
+            else:
+                layout = item.layout()
+                if layout:
+                    while layout.count():
+                        sub_item = layout.takeAt(0)
+                        sub_widget = sub_item.widget()
+                        if sub_widget:
+                            sub_widget.deleteLater()
+
+        for speaker in sorted(unique_speakers):
+            speaker_input = LineEdit(speaker, self)
+            speaker_input.setMinimumWidth(200)
+
+            speaker_preview_button = QPushButton(_("Play sample"))
+            speaker_preview_button.setMinimumWidth(200)
+            speaker_preview_button.clicked.connect(lambda checked, s=speaker: self.on_speaker_preview(s))
+
+            speaker_layout = QHBoxLayout()
+            speaker_layout.addWidget(speaker_input)
+            speaker_layout.addWidget(speaker_preview_button)
+
+            self.speaker_preview_row.addLayout(speaker_layout)
+
+        # Trigger layout update to properly size the new widgets
+        self.layout().activate()
+        self.adjustSize()
+        # Schedule update if window is minimized
+        self.needs_layout_update = True
+
+    def on_speaker_preview(self, speaker_id):
+        if self.player_timer:
+            self.player_timer.stop()
+
+        speaker_records = [record for record in self.identification_result if record['speaker'] == speaker_id]
+
+        if speaker_records:
+            random_record = random.choice(speaker_records)
+
+            start_time = random_record['start_time']
+            end_time = random_record['end_time']
+
+            self.player.setPosition(int(start_time))
+            self.player.play()
+
+            self.player_timer = QTimer(self)
+            self.player_timer.setSingleShot(True)
+            self.player_timer.timeout.connect(self.player.stop)
+            self.player_timer.start(min(end_time, 10 * 1000))  # 10 seconds
+
+    def on_save_button_clicked(self):
+        speaker_names = []
+        for i in range(self.speaker_preview_row.count()):
+            item = self.speaker_preview_row.itemAt(i)
+            if item.layout():
+                for j in range(item.layout().count()):
+                    sub_item = item.layout().itemAt(j)
+                    widget = sub_item.widget()
+                    if isinstance(widget, LineEdit):
+                        speaker_names.append(widget.text())
+
+        unique_speakers = {entry['speaker'] for entry in self.identification_result}
+        original_speakers = sorted(unique_speakers)
+        speaker_mapping = dict(zip(original_speakers, speaker_names))
+
+        segments = []
+        if self.merge_speaker_sentences.isChecked():
+            previous_segment = None
+
+            for entry in self.identification_result:
+                speaker_name = speaker_mapping.get(entry['speaker'], entry['speaker'])
+
+                if previous_segment and previous_segment['speaker'] == speaker_name:
+                    previous_segment['end_time'] = entry['end_time']
+                    previous_segment['text'] += " " + entry['text']
+                else:
+                    if previous_segment:
+                        segment = Segment(
+                            start=previous_segment['start_time'],
+                            end=previous_segment['end_time'],
+                            text=f"{previous_segment['speaker']}: {previous_segment['text']}"
+                        )
+                        segments.append(segment)
+                    previous_segment = {
+                        'start_time': entry['start_time'],
+                        'end_time': entry['end_time'],
+                        'speaker': speaker_name,
+                        'text': entry['text']
+                    }
+
+            if previous_segment:
+                segment = Segment(
+                    start=previous_segment['start_time'],
+                    end=previous_segment['end_time'],
+                    text=f"{previous_segment['speaker']}: {previous_segment['text']}"
+                )
+                segments.append(segment)
+        else:
+            for entry in self.identification_result:
+                speaker_name = speaker_mapping.get(entry['speaker'], entry['speaker'])
+                segment = Segment(
+                    start=entry['start_time'],
+                    end=entry['end_time'],
+                    text=f"{speaker_name}: {entry['text']}"
+                )
+                segments.append(segment)
+
+        new_transcript_id = self.transcription_service.copy_transcription(
+            self.transcription.id_as_uuid
+        )
+
+        self.transcription_service.update_transcription_as_completed(new_transcript_id, segments)
+
+        # TODO - See if we can get rows in the transcription viewer to be of variable height
+        #        If text is longer they should expand
+        if self.transcriptions_updated_signal:
+            self.transcriptions_updated_signal.emit(new_transcript_id)
+
+        self.player.stop()
+
+        if self.player_timer:
+            self.player_timer.stop()
+
+        self.close()
+
+    def changeEvent(self, event):
+        super().changeEvent(event)
+
+        # Handle window activation (restored from minimized or brought to front)
+        if self.needs_layout_update:
+            self.layout().activate()
+            self.adjustSize()
+            self.needs_layout_update = False
+
+    def closeEvent(self, event):
+        self.hide()
+
+        # Stop media player
+        self.player.stop()
+        if self.player_timer:
+            self.player_timer.stop()
+
+        # Clean up thread if running
+        self._cleanup_thread()
+
+        super().closeEvent(event)
+
+    def _cleanup_thread(self):
+        """Properly clean up the worker thread."""
+        if self.worker is not None:
+            # Request cancellation first
+            self.worker.cancel()
+
+        if self.thread is not None and self.thread.isRunning():
+            logging.debug("Speaker identification: Stopping running thread")
+            self.thread.quit()
+            if not self.thread.wait(10000):  # Wait up to 10 seconds
+                logging.warning("Speaker identification: Thread did not quit, terminating")
+                self.thread.terminate()
+                if not self.thread.wait(2000):
+                    logging.error("Speaker identification: Thread failed to terminate")
+
+        self.thread = None
+        self.worker = None

buzz/widgets/transcription_viewer/transcription_resizer_widget.py

@@ -36,9 +36,11 @@ from buzz.widgets.preferences_dialog.models.file_transcription_preferences impor
 
 SENTENCE_END = re.compile(r'.*[.!?。！？]')
 
+# Languages that don't use spaces between words
+NON_SPACE_LANGUAGES = {"zh", "ja", "th", "lo", "km", "my"}
+
 class TranscriptionWorker(QObject):
-    finished = pyqtSignal()
-    result_ready = pyqtSignal(list)
+    finished = pyqtSignal(list)
 
     def __init__(self, transcription, transcription_options, transcription_service, regroup_string: str):
         super().__init__()
@@ -52,16 +54,23 @@ class TranscriptionWorker(QObject):
             transcription_id=self.transcription.id_as_uuid
         )
 
+        # Check if the language uses spaces between words
+        language = self.transcription.language or ""
+        is_non_space_language = language in NON_SPACE_LANGUAGES
+
+        # For non-space languages, don't add spaces between words
+        separator = "" if is_non_space_language else " "
+
         segments = []
         words = []
         text = ""
         for buzz_segment in buzz_segments:
             words.append({
-                'word': buzz_segment.text + " ",
+                'word': buzz_segment.text + separator,
                 'start': buzz_segment.start_time / 100,
                 'end': buzz_segment.end_time / 100,
             })
-            text += buzz_segment.text + " "
+            text += buzz_segment.text + separator
 
             if SENTENCE_END.match(buzz_segment.text):
                 segments.append({
@@ -71,6 +80,13 @@ class TranscriptionWorker(QObject):
                 words = []
                 text = ""
 
+        # Add any remaining words that weren't terminated by sentence-ending punctuation
+        if words:
+            segments.append({
+                'text': text,
+                'words': words
+            })
+
         return {
             'language': self.transcription.language,
             'segments': segments
@@ -85,7 +101,7 @@ class TranscriptionWorker(QObject):
         if self.transcription_options.extract_speech and os.path.exists(speech_path):
             transcription_file = str(speech_path)
             transcription_file_exists = True
-        # TODO - Fix VAD and Silence suppression that fails to work/download VAd model in compilded form on Mac and Windows
+        # TODO - Fix VAD and Silence suppression that fails to work/download Vad model in compilded form on Mac and Windows
 
         try:
             result = stable_whisper.transcribe_any(
@@ -113,8 +129,7 @@ class TranscriptionWorker(QObject):
                 )
             )
 
-        self.result_ready.emit(segments)
-        self.finished.emit()
+        self.finished.emit(segments)
 
 
 class TranscriptionResizerWidget(QWidget):
@@ -155,6 +170,38 @@ class TranscriptionResizerWidget(QWidget):
 
         layout = QFormLayout(self)
 
+        # Extend segment endings
+        extend_label = QLabel(_("Extend end time"), self)
+        font = extend_label.font()
+        font.setWeight(QFont.Weight.Bold)
+        extend_label.setFont(font)
+        layout.addRow(extend_label)
+
+        extend_group_box = QGroupBox(self)
+        extend_layout = QVBoxLayout(extend_group_box)
+
+        self.extend_row = QHBoxLayout()
+
+        self.extend_amount_label = QLabel(_("Extend endings by up to (seconds)"), self)
+
+        self.extend_amount_input = LineEdit("0.2", self)
+        self.extend_amount_input.setMaximumWidth(60)
+
+        self.extend_button = QPushButton(_("Extend endings"))
+        self.extend_button.clicked.connect(self.on_extend_button_clicked)
+
+        self.extend_row.addWidget(self.extend_amount_label)
+        self.extend_row.addWidget(self.extend_amount_input)
+        self.extend_row.addWidget(self.extend_button)
+
+        extend_layout.addLayout(self.extend_row)
+
+        layout.addRow(extend_group_box)
+
+        # Spacer
+        spacer1 = QSpacerItem(0, 10, QSizePolicy.Policy.Minimum, QSizePolicy.Policy.Fixed)
+        layout.addItem(spacer1)
+
         # Resize longer subtitles
         resize_label = QLabel(_("Resize Options"), self)
         font = resize_label.font()
@@ -184,12 +231,14 @@ class TranscriptionResizerWidget(QWidget):
         resize_layout.addLayout(self.resize_row)
 
         resize_group_box.setEnabled(self.transcription.word_level_timings != 1)
+        if self.transcription.word_level_timings == 1:
+            resize_group_box.setToolTip(_("Available only if word level timings were disabled during transcription"))
 
         layout.addRow(resize_group_box)
 
         # Spacer
-        spacer = QSpacerItem(0, 10, QSizePolicy.Policy.Minimum, QSizePolicy.Policy.Fixed)
-        layout.addItem(spacer)
+        spacer2 = QSpacerItem(0, 10, QSizePolicy.Policy.Minimum, QSizePolicy.Policy.Fixed)
+        layout.addItem(spacer2)
 
         # Merge words into subtitles
         merge_options_label = QLabel(_("Merge Options"), self)
@@ -239,6 +288,8 @@ class TranscriptionResizerWidget(QWidget):
         merge_options_layout.addLayout(self.merge_options_row)
 
         merge_options_group_box.setEnabled(self.transcription.word_level_timings == 1)
+        if self.transcription.word_level_timings != 1:
+            merge_options_group_box.setToolTip(_("Available only if word level timings were enabled during transcription"))
 
         layout.addRow(merge_options_group_box)
 
@@ -294,6 +345,44 @@ class TranscriptionResizerWidget(QWidget):
         if self.transcriptions_updated_signal:
             self.transcriptions_updated_signal.emit(new_transcript_id)
 
+    def on_extend_button_clicked(self):
+        try:
+            extend_amount_seconds = float(self.extend_amount_input.text())
+        except ValueError:
+            extend_amount_seconds = 0.2
+
+        # Convert seconds to milliseconds (internal time unit)
+        extend_amount = int(extend_amount_seconds * 1000)
+
+        segments = self.transcription_service.get_transcription_segments(
+            transcription_id=self.transcription.id_as_uuid
+        )
+
+        extended_segments = []
+        for i, segment in enumerate(segments):
+            new_end = segment.end_time + extend_amount
+
+            # Ensure segment end doesn't exceed start of next segment
+            if i < len(segments) - 1:
+                next_start = segments[i + 1].start_time
+                new_end = min(new_end, next_start)
+
+            extended_segments.append(
+                Segment(
+                    start=segment.start_time,
+                    end=new_end,
+                    text=segment.text
+                )
+            )
+
+        new_transcript_id = self.transcription_service.copy_transcription(
+            self.transcription.id_as_uuid
+        )
+        self.transcription_service.update_transcription_as_completed(new_transcript_id, extended_segments)
+
+        if self.transcriptions_updated_signal:
+            self.transcriptions_updated_signal.emit(new_transcript_id)
+
     def on_merge_button_clicked(self):
         self.new_transcript_id = self.transcription_service.copy_transcription(
             self.transcription.id_as_uuid
@@ -336,7 +425,7 @@ class TranscriptionResizerWidget(QWidget):
         self.worker.finished.connect(self.thread.quit)
         self.worker.finished.connect(self.worker.deleteLater)
         self.thread.finished.connect(self.thread.deleteLater)
-        self.worker.result_ready.connect(self.on_transcription_completed)
+        self.worker.finished.connect(self.on_transcription_completed)
 
         self.thread.start()
 

buzz/widgets/transcription_viewer/transcription_view_mode_tool_button.py

@@ -34,6 +34,7 @@ class TranscriptionViewModeToolButton(QToolButton):
         self.setIcon(VisibilityIcon(self))
         self.setToolButtonStyle(Qt.ToolButtonStyle.ToolButtonTextBesideIcon)
         self.setPopupMode(QToolButton.ToolButtonPopupMode.MenuButtonPopup)
+        self.setMinimumWidth(80)
 
         translation.connect(self.on_translation_available)
 

buzz/widgets/update_dialog.py

@@ -0,0 +1,262 @@
+import logging
+import os
+import platform
+import subprocess
+import tempfile
+from typing import Optional
+
+from PyQt6.QtCore import Qt, QUrl
+from PyQt6.QtWidgets import QApplication
+from PyQt6.QtGui import QIcon
+from PyQt6.QtNetwork import QNetworkAccessManager, QNetworkRequest, QNetworkReply
+from PyQt6.QtWidgets import (
+    QDialog,
+    QVBoxLayout,
+    QHBoxLayout,
+    QLabel,
+    QPushButton,
+    QProgressBar,
+    QMessageBox,
+    QWidget,
+    QTextEdit,
+)
+
+from buzz.__version__ import VERSION
+from buzz.locale import _
+from buzz.update_checker import UpdateInfo
+from buzz.widgets.icon import BUZZ_ICON_PATH
+
+class UpdateDialog(QDialog):
+    """Dialog shows when an update is available"""
+    def __init__(
+        self,
+        update_info: UpdateInfo,
+        network_manager: Optional[QNetworkAccessManager] = None,
+        parent: Optional[QWidget] = None
+    ):
+        super().__init__(parent)
+
+        self.update_info = update_info
+
+        if network_manager is None:
+            network_manager = QNetworkAccessManager(self)
+        self.network_manager = network_manager
+
+        self._download_reply: Optional[QNetworkReply] = None
+        self._temp_file_paths: list = []
+        self._pending_urls: list = []
+        self._temp_dir: Optional[str] = None
+
+        self._setup_ui()
+
+    def _setup_ui(self):
+        self.setWindowTitle(_("Update Available"))
+        self.setWindowIcon(QIcon(BUZZ_ICON_PATH))
+        self.setMinimumWidth(450)
+
+        layout = QVBoxLayout(self)
+        layout.setSpacing(16)
+
+        #header
+        header_label = QLabel(
+            _("A new version of Buzz is available!")
+        )
+
+        header_label.setStyleSheet("font-size: 16px; font-weight: bold;")
+        layout.addWidget(header_label)
+
+        #Version info
+        version_layout = QHBoxLayout()
+
+        current_version_label = QLabel(_("Current version:"))
+        current_version_value = QLabel(f"<b>{VERSION}</b>")
+
+        new_version_label = QLabel(_("New version:"))
+        new_version_value = QLabel(f"<b>{self.update_info.version}</b>")
+
+        version_layout.addWidget(current_version_label)
+        version_layout.addWidget(current_version_value)
+        version_layout.addStretch()
+        version_layout.addWidget(new_version_label)
+        version_layout.addWidget(new_version_value)
+
+        layout.addLayout(version_layout)
+
+        #Release notes
+        if self.update_info.release_notes:
+            notes_label = QLabel(_("Release Notes:"))
+            notes_label.setStyleSheet("font-weight: bold;")
+            layout.addWidget(notes_label)
+
+            notes_text = QTextEdit()
+            notes_text.setReadOnly(True)
+            notes_text.setMarkdown(self.update_info.release_notes)
+            notes_text.setMaximumHeight(150)
+            layout.addWidget(notes_text)
+
+        #progress bar
+        self.progress_bar = QProgressBar()
+        self.progress_bar.setVisible(False)
+        self.progress_bar.setTextVisible(True)
+        layout.addWidget(self.progress_bar)
+
+        #Status label
+        self.status_label = QLabel("")
+        self.status_label.setAlignment(Qt.AlignmentFlag.AlignCenter)
+        layout.addWidget(self.status_label)
+
+        #Buttons
+        button_layout = QVBoxLayout()
+
+        self.download_button = QPushButton(_("Download and Install"))
+        self.download_button.clicked.connect(self._on_download_clicked)
+        self.download_button.setDefault(True)
+
+        button_layout.addStretch()
+        button_layout.addWidget(self.download_button)
+
+        layout.addLayout(button_layout)
+
+    def _on_download_clicked(self):
+        """Starts downloading the installer"""
+        if not self.update_info.download_urls:
+            QMessageBox.warning(
+                self,
+                _("Error"),
+                _("No download URL available for your platform.")
+            )
+            return
+
+        self.download_button.setEnabled(False)
+        self.progress_bar.setVisible(True)
+        self.progress_bar.setValue(0)
+        self._temp_file_paths = []
+        self._pending_urls = list(self.update_info.download_urls)
+        self._temp_dir = tempfile.mkdtemp()
+        self._download_next_file()
+
+    def _download_next_file(self):
+        """Download the next file in the queue"""
+        if not self._pending_urls:
+            self._all_downloads_finished()
+            return
+
+        url_str = self._pending_urls[0]
+        file_index = len(self.update_info.download_urls) - len(self._pending_urls) + 1
+        total_files = len(self.update_info.download_urls)
+        self.status_label.setText(
+            _("Downloading file {} of {}...").format(file_index, total_files)
+        )
+
+        url = QUrl(url_str)
+        request = QNetworkRequest(url)
+
+        self._download_reply = self.network_manager.get(request)
+        self._download_reply.downloadProgress.connect(self._on_download_progress)
+        self._download_reply.finished.connect(self._on_download_finished)
+
+    def _on_download_progress(self, bytes_received: int, bytes_total: int):
+        """Update the progress bar during download"""
+        if bytes_total > 0:
+            progress = int((bytes_received / bytes_total) * 100)
+            self.progress_bar.setValue(progress)
+
+            mb_received = bytes_received / (1024 * 1024)
+            mb_total = bytes_total / (1024 * 1024)
+            file_index = len(self.update_info.download_urls) - len(self._pending_urls) + 1
+            total_files = len(self.update_info.download_urls)
+            self.status_label.setText(
+                _("Downloading file {} of {} ({:.1f} MB / {:.1f} MB)...").format(
+                    file_index, total_files, mb_received, mb_total
+                )
+            )
+
+    def _on_download_finished(self):
+        """Handles download completion for one file"""
+        if self._download_reply is None:
+            return
+
+        if self._download_reply.error() != QNetworkReply.NetworkError.NoError:
+            error_msg = self._download_reply.errorString()
+            logging.error(f"Download failed: {error_msg}")
+
+            QMessageBox.critical(
+                self,
+                _("Download Failed"),
+                _("Failed to download the update: {}").format(error_msg)
+            )
+
+            self._reset_ui()
+            self._download_reply.deleteLater()
+            self._download_reply = None
+            return
+
+        data = self._download_reply.readAll().data()
+        self._download_reply.deleteLater()
+        self._download_reply = None
+
+        url_str = self._pending_urls.pop(0)
+
+        # Extract original filename from URL to preserve it
+        original_filename = QUrl(url_str).fileName()
+        if not original_filename:
+            original_filename = f"download_{len(self._temp_file_paths)}"
+
+        try:
+            temp_path = os.path.join(self._temp_dir, original_filename)
+            with open(temp_path, "wb") as f:
+                f.write(data)
+            self._temp_file_paths.append(temp_path)
+            logging.info(f"File saved to: {temp_path}")
+        except Exception as e:
+            logging.error(f"Failed to save file: {e}")
+            QMessageBox.critical(
+                self,
+                _("Error"),
+                _("Failed to save the installer: {}").format(str(e))
+            )
+            self._reset_ui()
+            return
+
+        self._download_next_file()
+
+    def _all_downloads_finished(self):
+        """All files downloaded, run the installer"""
+        self.progress_bar.setValue(100)
+        self.status_label.setText(_("Download complete!"))
+        self._run_installer()
+
+    def _run_installer(self):
+        """Run the downloaded installer"""
+        if not self._temp_file_paths:
+            return
+
+        installer_path = self._temp_file_paths[0]
+        system = platform.system()
+
+        try:
+            if system == "Windows":
+                subprocess.Popen([installer_path], shell=True)
+
+            elif system == "Darwin":
+                #open the DMG file
+                subprocess.Popen(["open", installer_path])
+
+            # Close the app so the installer can replace files
+            self.accept()
+            QApplication.quit()
+
+        except Exception as e:
+            logging.error(f"Failed to run installer: {e}")
+            QMessageBox.critical(
+                self,
+                _("Error"),
+                _("Failed to run the installer: {}").format(str(e))
+            )
+
+    def _reset_ui(self):
+        """Reset the UI to initial state after an error"""
+        self.download_button.setEnabled(True)
+        self.progress_bar.setVisible(False)
+        self.status_label.setText("")
+

buzz/widgets/video_player.py

@@ -0,0 +1,172 @@
+import logging
+from typing import Tuple, Optional
+from PyQt6.QtCore import Qt, QUrl, pyqtSignal, QTime
+from PyQt6.QtMultimedia import QMediaPlayer, QAudioOutput, QMediaDevices
+from PyQt6.QtMultimediaWidgets import QVideoWidget
+from PyQt6.QtWidgets import QWidget, QVBoxLayout, QSlider, QPushButton, QHBoxLayout, QLabel, QSizePolicy
+from buzz.widgets.icon import PlayIcon, PauseIcon
+
+class VideoPlayer(QWidget):
+    position_ms_changed = pyqtSignal(int)
+
+    def __init__(self, file_path: str, parent=None):
+        super().__init__(parent)
+
+        self.range_ms: Optional[Tuple[int, int]] = None
+        self.position_ms = 0
+        self.duration_ms = 0
+        self.is_looping = False
+        self.is_slider_dragging = False
+        self.initial_frame_loaded = False
+
+        self.audio_output = QAudioOutput(self)
+        self.audio_output.setVolume(100)
+
+        # Log audio device info for debugging
+        default_device = QMediaDevices.defaultAudioOutput()
+        if default_device.isNull():
+            logging.warning("No default audio output device found!")
+        else:
+            logging.info(f"Audio output device: {default_device.description()}")
+
+        self.media_player = QMediaPlayer(self)
+        self.media_player.setSource(QUrl.fromLocalFile(file_path))
+        self.media_player.setAudioOutput(self.audio_output)
+
+        self.video_widget = QVideoWidget(self)
+        self.media_player.setVideoOutput(self.video_widget)
+
+        # Size constraints for video widget
+        self.video_widget.setMinimumHeight(200)
+        self.video_widget.setMaximumHeight(400)
+        self.video_widget.setSizePolicy(QSizePolicy.Policy.Expanding, QSizePolicy.Policy.Preferred)
+
+        self.scrubber = QSlider(Qt.Orientation.Horizontal)
+        self.scrubber.setRange(0, 0)
+        self.scrubber.sliderMoved.connect(self.on_slider_moved)
+        self.scrubber.sliderPressed.connect(self.on_slider_pressed)
+        self.scrubber.sliderReleased.connect(self.on_slider_released)
+
+        #Track if user is dragging the slider
+        self.is_slider_dragging = False
+
+        self.play_icon = PlayIcon(self)
+        self.pause_icon = PauseIcon(self)
+
+        self.play_button = QPushButton("")
+        self.play_button.setIcon(self.play_icon)
+        self.play_button.clicked.connect(self.toggle_playback)
+        self.play_button.setMaximumWidth(40)
+        self.play_button.setMinimumHeight(30)
+
+        self.time_label = QLabel()
+        self.time_label.setAlignment(Qt.AlignmentFlag.AlignRight)
+
+        controls = QHBoxLayout()
+        controls.addWidget(self.play_button)
+        controls.addWidget(self.scrubber)
+        controls.addWidget(self.time_label)
+
+        layout = QVBoxLayout(self)
+        layout.setContentsMargins(0, 0, 0, 0)
+        layout.setSpacing(4)
+        layout.addWidget(self.video_widget, stretch=1)
+        layout.addLayout(controls)
+
+        self.setLayout(layout)
+
+
+        self.media_player.positionChanged.connect(self.on_position_changed)
+        self.media_player.durationChanged.connect(self.on_duration_changed)
+        self.media_player.playbackStateChanged.connect(self.on_playback_state_changed)
+        self.media_player.mediaStatusChanged.connect(self.on_media_status_changed)
+        self.media_player.errorOccurred.connect(self.on_error_occurred)
+
+    def on_error_occurred(self, error: QMediaPlayer.Error, error_string: str):
+        logging.error(f"Media player error: {error} - {error_string}")
+
+    def on_media_status_changed(self, status: QMediaPlayer.MediaStatus):
+        # Only do this once on initial load to show first frame
+        if self.initial_frame_loaded:
+            return
+        # Start playback when loaded to trigger frame decoding
+        if status == QMediaPlayer.MediaStatus.LoadedMedia:
+            self.media_player.play()
+        # Pause immediately when buffered to show first frame
+        elif status == QMediaPlayer.MediaStatus.BufferedMedia:
+            self.initial_frame_loaded = True
+            self.media_player.pause()
+
+    def toggle_playback(self):
+        if self.media_player.playbackState() == QMediaPlayer.PlaybackState.PlayingState:
+            self.media_player.pause()
+        else:
+            self.media_player.play()
+
+    def on_slider_moved(self, position):
+        self.set_position(position)
+
+    def on_slider_pressed(self):
+        """Called when user starts dragging the slider"""
+        self.is_slider_dragging = True
+
+    def on_slider_released(self):
+        """Called when user releases the slider"""
+        self.is_slider_dragging = False
+        # Update position to where use released
+        self.set_position(self.scrubber.value())
+
+    def set_position(self, position_ms: int):
+        self.media_player.setPosition(position_ms)
+
+    def on_position_changed(self, position_ms: int):
+        # Don't update slider if user is currently dragging it
+        if not self.is_slider_dragging:
+            self.scrubber.blockSignals(True)
+            self.scrubber.setValue(position_ms)
+            self.scrubber.blockSignals(False)
+
+        self.position_ms = position_ms
+        self.position_ms_changed.emit(position_ms)
+        self.update_time_label()
+
+        # If a range has been selected and video has reached the end of range
+        #loop back to the start of the range
+        if self.range_ms is not None and not self.is_looping:
+            start_range_ms, end_range_ms = self.range_ms
+            #Check if video is at or past the end of range
+            if position_ms >= (end_range_ms - 50):
+                self.is_looping = True
+                self.set_position(start_range_ms)
+                self.is_looping = False
+
+    def on_duration_changed(self, duration_ms: int):
+        self.scrubber.setRange(0, duration_ms)
+        self.duration_ms = duration_ms
+        self.update_time_label()
+
+    def on_playback_state_changed(self, state: QMediaPlayer.PlaybackState):
+        if state == QMediaPlayer.PlaybackState.PlayingState:
+            self.play_button.setIcon(self.pause_icon)
+        else:
+            self.play_button.setIcon(self.play_icon)
+
+    def update_time_label(self):
+        position_time = QTime(0, 0).addMSecs(self.position_ms).toString()
+        duration_time = QTime(0, 0).addMSecs(self.duration_ms).toString()
+        self.time_label.setText(f"{position_time} / {duration_time}")
+
+    def set_range(self, range_ms: Tuple[int, int]):
+        """Set a loop range. Only jump to start if current position is outside the range."""
+        self.range_ms = range_ms
+        start_range_ms, end_range_ms = range_ms
+
+        if self.position_ms < start_range_ms or self.position_ms > end_range_ms:
+            self.set_position(start_range_ms)
+
+    def clear_range(self):
+        """Clear the current loop range"""
+        self.range_ms = None
+
+    def stop(self):
+        self.media_player.stop()

ctc_forced_aligner

@@ -0,0 +1 @@
+Subproject commit 1f0a5f860d3d9daf3d94edb1c7d18f90d1702e5b

deepmultilingualpunctuation

@@ -0,0 +1 @@
+Subproject commit 5a0dd7f4fd56687f59405aa8eba1144393d8b74b

demucs/remote/files.txt

@@ -1,32 +0,0 @@
-# MDX Models
-root: mdx_final/
-0d19c1c6-0f06f20e.th
-5d2d6c55-db83574e.th
-7d865c68-3d5dd56b.th
-7ecf8ec1-70f50cc9.th
-a1d90b5c-ae9d2452.th
-c511e2ab-fe698775.th
-cfa93e08-61801ae1.th
-e51eebcc-c1b80bdd.th
-6b9c2ca1-3fd82607.th
-b72baf4e-8778635e.th
-42e558d4-196e0e1b.th
-305bc58f-18378783.th
-14fc6a69-a89dd0ee.th
-464b36d7-e5a9386e.th
-7fd6ef75-a905dd85.th
-83fc094f-4a16d450.th
-1ef250f1-592467ce.th
-902315c2-b39ce9c9.th
-9a6b4851-03af0aa6.th
-fa0cb7f9-100d8bf4.th
-# Hybrid Transformer models
-root: hybrid_transformer/
-955717e8-8726e21a.th
-f7e0c4bc-ba3fe64a.th
-d12395a8-e57c48e6.th
-92cfc3b6-ef3bcb9c.th
-04573f0d-f3cf25b2.th
-75fc33f5-1941ce65.th
-# Experimental 6 sources model
-5c90dfd2-34c22ccb.th

demucs/remote/hdemucs_mmi.yaml

@@ -1,2 +0,0 @@
-models: ['75fc33f5']
-segment: 44

demucs/remote/htdemucs.yaml

@@ -1 +0,0 @@
-models: ['955717e8']

demucs/remote/htdemucs_6s.yaml

@@ -1 +0,0 @@
-models: ['5c90dfd2']

demucs/remote/htdemucs_ft.yaml

@@ -1,7 +0,0 @@
-models: ['f7e0c4bc', 'd12395a8', '92cfc3b6', '04573f0d']
-weights: [
-  [1., 0., 0., 0.],
-  [0., 1., 0., 0.],
-  [0., 0., 1., 0.],
-  [0., 0., 0., 1.],
-]

demucs/remote/mdx.yaml

@@ -1,8 +0,0 @@
-models: ['0d19c1c6', '7ecf8ec1', 'c511e2ab', '7d865c68']
-weights: [
-  [1., 1., 0., 0.],
-  [0., 1., 0., 0.],
-  [1., 0., 1., 1.],
-  [1., 0., 1., 1.],
-]
-segment: 44

demucs/remote/mdx_extra.yaml

@@ -1,2 +0,0 @@
-models: ['e51eebcc', 'a1d90b5c', '5d2d6c55', 'cfa93e08']
-segment: 44

demucs/remote/mdx_extra_q.yaml

@@ -1,2 +0,0 @@
-models: ['83fc094f', '464b36d7', '14fc6a69', '7fd6ef75']
-segment: 44