上传视频开始运行时报错了这个怎么解决

LocalEntryNotFoundError: Cannot find an appropriate cached snapshot folder for the specified revision on the local disk and outgoing traffic has been disabled. To enable repo look-ups and downloads online, pass 'local_files_only=False' as input.
Traceback:
File "C:\App\videolingo\VideoLingo\installer_files\env\lib\site-packages\streamlit\runtime\scriptrunner\exec_code.py", line 88, in exec_func_with_error_handling
result = func()
File "C:\App\videolingo\VideoLingo\installer_files\env\lib\site-packages\streamlit\runtime\scriptrunner\script_runner.py", line 590, in code_to_exec
exec(code, module.dict)
File "C:\App\videolingo\VideoLingo\st.py", line 123, in
main()
File "C:\App\videolingo\VideoLingo\st.py", line 119, in main
text_processing_section()
File "C:\App\videolingo\VideoLingo\st.py", line 33, in text_processing_section
process_text()
File "C:\App\videolingo\VideoLingo\st.py", line 47, in process_text
step2_whisperX.transcribe()
File "C:\App\videolingo\VideoLingo\core\step2_whisperX.py", line 160, in transcribe
result = transcribe_audio(whisper_audio, start, end)
File "C:\App\videolingo\VideoLingo\core\step2_whisperX.py", line 89, in transcribe_audio
model = whisperx.load_model(model_name, device, compute_type=compute_type, language=whisper_language, vad_options=vad_options, asr_options=asr_options, download_root=MODEL_DIR)
File "c:\app\videolingo\videolingo\third_party\whisperx\whisperx\asr.py", line 288, in load_model
model = model or WhisperModel(whisper_arch,
File "C:\App\videolingo\VideoLingo\installer_files\env\lib\site-packages\faster_whisper\transcribe.py", line 127, in init
model_path = download_model(
File "C:\App\videolingo\VideoLingo\installer_files\env\lib\site-packages\faster_whisper\utils.py", line 119, in download_model
return huggingface_hub.snapshot_download(repo_id, **kwargs)
File "C:\App\videolingo\VideoLingo\installer_files\env\lib\site-packages\huggingface_hub\utils_validators.py", line 114, in _inner_fn
return fn(*args, **kwargs)
File "C:\App\videolingo\VideoLingo\installer_files\env\lib\site-packages\huggingface_hub_snapshot_download.py", line 219, in snapshot_download
raise LocalEntryNotFoundError(

Reproduce the upload flow and start at st.py:33-47, then follow the trace into core/step2_whisperX.py:89 and :160 and the WhisperX model-loading call. Check how MODEL_DIR and the model download path are used; done means transcription starts without LocalEntryNotFoundError.