with exceptions

app.py

@@ -21,7 +21,7 @@ def transcribe_to_subtitle(audio_bytes, model_name):
   """Transcribe audio to subtitle using OpenAI Whisper"""
   # Load model based on selection
   model = load_model(model_name)
-  speedmodel = load_hf_whisper(model_name)
+  #speedmodel = load_hf_whisper(model_name)
   
   # Check file size for free tier
   if use_free_tier and len(audio_bytes) > 2 * 60 * 1024:
@@ -29,16 +29,15 @@ def transcribe_to_subtitle(audio_bytes, model_name):
       return
   
   #  Transcribe audio
-  if use_free_tier and not api_token:
-    try:
-      result = model.transcribe(audio_bytes, verbose=True)
-    except Exception as e:
-       return {"error": f"Error during transcription: {str(e)}"}
-  else:
-    try:
-      result = speedmodel.transcribe(audio_bytes, verbose=True)
-    except Exception as e:
-       return {"error": f"Error during transcription: {str(e)}"}
+  try:
+    result = model.transcribe(audio_bytes, verbose=True)
+  except Exception as e:
+     return {"error": f"Error during transcription: {str(e)}"}
+#  else:
+ #   try:
+  #    result = speedmodel.transcribe(audio_bytes, verbose=True)
+   # except Exception as e:
+    #   return {"error": f"Error during transcription: {str(e)}"}
   
   # Generate subtitle file
   subtitle_text = result.text