use `load_audio()`

app.py

@@ -30,7 +30,15 @@ def slugify(value, allow_unicode=False):
     return re.sub(r'[-\s]+', '-', value).strip('-_')
 
 def transcribe(file):
-    result = model.transcribe(file)
+    
+    try:
+        audio = whisper.load_audio(video_file_path)
+    except Exception as e:
+        raise RuntimeError("Error converting video to audio")
+
+    transcribe_options = dict(beam_size=5, best_of=5, without_timestamps=False
+    
+    result = model.transcribe(audio, **transcribe_options)
 
     file_path = pathlib.Path(file)
     sourceName = file_path.stem[:MAX_FILE_PREFIX_LENGTH] + file_path.suffix