UnboundLocalError: local variable 'model' referenced before assignment ?

[namdroid]

[INFO] >> Working in: cuda
Running on local URL: http://127.0.0.1:7860

To create a public link, set share=True in launch().
IMPORTANT: You are using gradio version 4.19.2, however version 4.44.1 is available, please upgrade.

[INFO] >> Content in 'outputs' removed.
[WARNING] >> Make sure to select a 'TTS Speaker' suitable for the translation language to avoid errors with the TTS.
[INFO] >> Cache flushed
[INFO] >> Processing video...
[INFO] >> Video codec: h264
[INFO] >> Process video...
[INFO] >> Process audio...
[INFO] >> Transcribing...
Traceback (most recent call last):
File "/home/pinguin/anaconda3/envs/sonitr/lib/python3.10/site-packages/gradio/queueing.py", line 495, in call_prediction
output = await route_utils.call_process_api(
File "/home/pinguin/anaconda3/envs/sonitr/lib/python3.10/site-packages/gradio/route_utils.py", line 235, in call_process_api
output = await app.get_blocks().process_api(
File "/home/pinguin/anaconda3/envs/sonitr/lib/python3.10/site-packages/gradio/blocks.py", line 1627, in process_api
result = await self.call_function(
File "/home/pinguin/anaconda3/envs/sonitr/lib/python3.10/site-packages/gradio/blocks.py", line 1173, in call_function
prediction = await anyio.to_thread.run_sync(
File "/home/pinguin/anaconda3/envs/sonitr/lib/python3.10/site-packages/anyio/to_thread.py", line 56, in run_sync
return await get_async_backend().run_sync_in_worker_thread(
File "/home/pinguin/anaconda3/envs/sonitr/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 2505, in run_sync_in_worker_thread
return await future
File "/home/pinguin/anaconda3/envs/sonitr/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 1005, in run
result = context.run(func, *args)
File "/home/pinguin/anaconda3/envs/sonitr/lib/python3.10/site-packages/gradio/utils.py", line 690, in wrapper
response = f(*args, **kwargs)
File "/home/pinguin/dev/SoniTranslate/app_rvc.py", line 365, in batch_multilingual_media_conversion
output_file = self.multilingual_media_conversion(
File "/home/pinguin/dev/SoniTranslate/app_rvc.py", line 708, in multilingual_media_conversion
audio, self.result = transcribe_speech(
File "/home/pinguin/dev/SoniTranslate/soni_translate/speech_segmentation.py", line 249, in transcribe_speech
result = model.transcribe(
UnboundLocalError: local variable 'model' referenced before assignment

[Badradyr]

The same thing, but in Google Colab

[INFO] >> Cache flushed
[INFO] >> Processing video...
[INFO] >> Process audio...
[INFO] >> Process video...
[INFO] >> Transcribing...
Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/gradio/queueing.py", line 495, in call_prediction
output = await route_utils.call_process_api(
File "/usr/local/lib/python3.10/dist-packages/gradio/route_utils.py", line 235, in call_process_api
output = await app.get_blocks().process_api(
File "/usr/local/lib/python3.10/dist-packages/gradio/blocks.py", line 1627, in process_api
result = await self.call_function(
File "/usr/local/lib/python3.10/dist-packages/gradio/blocks.py", line 1173, in call_function
prediction = await anyio.to_thread.run_sync(
File "/usr/local/lib/python3.10/dist-packages/anyio/to_thread.py", line 33, in run_sync
return await get_asynclib().run_sync_in_worker_thread(
File "/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py", line 877, in run_sync_in_worker_thread
return await future
File "/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py", line 807, in run
result = context.run(func, *args)
File "/usr/local/lib/python3.10/dist-packages/gradio/utils.py", line 690, in wrapper
response = f(*args, **kwargs)
File "/content/SoniTranslate/app_rvc.py", line 365, in batch_multilingual_media_conversion
output_file = self.multilingual_media_conversion(
File "/content/SoniTranslate/app_rvc.py", line 708, in multilingual_media_conversion
audio, self.result = transcribe_speech(
File "/content/SoniTranslate/soni_translate/speech_segmentation.py", line 231, in transcribe_speech
model = whisperx.load_model(
File "/usr/local/lib/python3.10/dist-packages/whisperx/asr.py", line 350, in load_model
vad_model = load_vad_model(torch.device(device), use_auth_token=None, **default_vad_options)
File "/usr/local/lib/python3.10/dist-packages/whisperx/vad.py", line 29, in load_vad_model
with urllib.request.urlopen(VAD_SEGMENTATION_URL) as source, open(model_fp, "wb") as output:
File "/usr/lib/python3.10/urllib/request.py", line 216, in urlopen
return opener.open(url, data, timeout)
File "/usr/lib/python3.10/urllib/request.py", line 525, in open
response = meth(req, response)
File "/usr/lib/python3.10/urllib/request.py", line 634, in http_response
response = self.parent.error(
File "/usr/lib/python3.10/urllib/request.py", line 563, in error
return self._call_chain(*args)
File "/usr/lib/python3.10/urllib/request.py", line 496, in _call_chain
result = func(*args)
File "/usr/lib/python3.10/urllib/request.py", line 643, in http_error_default
raise HTTPError(req.full_url, code, msg, hdrs, fp)
urllib.error.HTTPError: HTTP Error 403: Forbidden

[R3gm]

Duplicate of #139