From 778121e7ba53aff841e2aed52706e4510cfd2e09 Mon Sep 17 00:00:00 2001
From: Raivis Dejus <raivisd@scandiweb.com>
Date: Sun, 25 May 2025 21:46:40 +0300
Subject: [PATCH] Fix for subtitle resize crash on macOS (#1176)

---
 Buzz.spec                                     |  1 +
 .../transcription_resizer_widget.py           | 22 ++++++++++++-------
 2 files changed, 15 insertions(+), 8 deletions(-)

diff --git a/Buzz.spec b/Buzz.spec
index 2eec18d4..0f53c829 100644
--- a/Buzz.spec
+++ b/Buzz.spec
@@ -28,6 +28,7 @@ datas += copy_metadata("pyyaml")
 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 += [("buzz/assets/*", "assets")]
diff --git a/buzz/widgets/transcription_viewer/transcription_resizer_widget.py b/buzz/widgets/transcription_viewer/transcription_resizer_widget.py
index 5a3f24ad..108ffd4a 100644
--- a/buzz/widgets/transcription_viewer/transcription_resizer_widget.py
+++ b/buzz/widgets/transcription_viewer/transcription_resizer_widget.py
@@ -22,6 +22,7 @@ from PyQt6.QtWidgets import (
     QSizePolicy,
 )
 from buzz.locale import _, languages
+from buzz import whisper_audio
 from buzz.db.entity.transcription import Transcription
 from buzz.db.service.transcription_service import TranscriptionService
 from buzz.paths import file_path_as_title
@@ -85,14 +86,19 @@ class TranscriptionWorker(QObject):
             transcription_file = str(speech_path)
             transcription_file_exists = True
 
-        result = stable_whisper.transcribe_any(
-            self.get_transcript,
-            transcription_file,
-            vad=transcription_file_exists,
-            suppress_silence=transcription_file_exists,
-            regroup=self.regroup_string,
-            check_sorted=False,
-        )
+        try:
+            result = stable_whisper.transcribe_any(
+                self.get_transcript,
+                audio = whisper_audio.load_audio(transcription_file),
+                input_sr=whisper_audio.SAMPLE_RATE,
+                vad=transcription_file_exists,
+                suppress_silence=transcription_file_exists,
+                regroup=self.regroup_string,
+                check_sorted=False,
+            )
+        except Exception as e:
+            logging.error(f"Error in TranscriptionWorker: {e}")
+            return
 
         segments = []
         for segment in result.segments: