Netflix-level subtitle cutting, translation, alignment, and even dubbing - one-click fully automated AI video subtitle team | Netflix级字幕切割、翻译、对齐、甚至加上配音,一键全自动视频搬运AI字幕组
Traceback (most recent call last):
File "F:\Programs\anaconda3\envs\videolingo\lib\site-packages\streamlit\runtime\scriptrunner\exec_code.py", line 88, in exec_func_with_error_handling
result = func()
File "F:\Programs\anaconda3\envs\videolingo\lib\site-packages\streamlit\runtime\scriptrunner\script_runner.py", line 590, in code_to_exec
exec(code, module.dict)
File "F:\AI\VideoLingo\VideoLingo\st.py", line 118, in
main()
File "F:\AI\VideoLingo\VideoLingo\st.py", line 114, in main
text_processing_section()
File "F:\AI\VideoLingo\VideoLingo\st.py", line 30, in text_processing_section
process_text()
File "F:\AI\VideoLingo\VideoLingo\st.py", line 45, in process_text
step2_whisper.transcribe()
File "F:\AI\VideoLingo\VideoLingo\core\step2_whisper.py", line 23, in transcribe
ts(video_file)
File "F:\AI\VideoLingo\VideoLingo\core\all_whisper_methods\whisperX.py", line 134, in transcribe
result = transcribe_audio(audio_file, start, end)
File "F:\AI\VideoLingo\VideoLingo\core\all_whisper_methods\whisperX.py", line 56, in transcribe_audio
model = whisperx.load_model(model_name, device, compute_type=compute_type, download_root=whisperx_model_dir)
File "f:\ai\videolingo\videolingo\third_party\whisperx\whisperx\asr.py", line 288, in load_model
model = model or WhisperModel(whisper_arch,
File "F:\Programs\anaconda3\envs\videolingo\lib\site-packages\faster_whisper\transcribe.py", line 127, in init
model_path = download_model(
File "F:\Programs\anaconda3\envs\videolingo\lib\site-packages\faster_whisper\utils.py", line 119, in download_model
return huggingface_hub.snapshot_download(repo_id, *kwargs)
File "F:\Programs\anaconda3\envs\videolingo\lib\site-packages\huggingface_hub\utils_validators.py", line 114, in _inner_fn
return fn(args, **kwargs)
File "F:\Programs\anaconda3\envs\videolingo\lib\site-packages\huggingface_hub_snapshot_download.py", line 219, in snapshot_download
raise LocalEntryNotFoundError(
huggingface_hub.errors.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.
处理字幕时出现以下报错, 搜遍了全网也没找到解决方案, 请作者指教
Traceback (most recent call last): File "F:\Programs\anaconda3\envs\videolingo\lib\site-packages\streamlit\runtime\scriptrunner\exec_code.py", line 88, in exec_func_with_error_handling result = func() File "F:\Programs\anaconda3\envs\videolingo\lib\site-packages\streamlit\runtime\scriptrunner\script_runner.py", line 590, in code_to_exec exec(code, module.dict) File "F:\AI\VideoLingo\VideoLingo\st.py", line 118, in
main()
File "F:\AI\VideoLingo\VideoLingo\st.py", line 114, in main
text_processing_section()
File "F:\AI\VideoLingo\VideoLingo\st.py", line 30, in text_processing_section
process_text()
File "F:\AI\VideoLingo\VideoLingo\st.py", line 45, in process_text
step2_whisper.transcribe()
File "F:\AI\VideoLingo\VideoLingo\core\step2_whisper.py", line 23, in transcribe
ts(video_file)
File "F:\AI\VideoLingo\VideoLingo\core\all_whisper_methods\whisperX.py", line 134, in transcribe
result = transcribe_audio(audio_file, start, end)
File "F:\AI\VideoLingo\VideoLingo\core\all_whisper_methods\whisperX.py", line 56, in transcribe_audio
model = whisperx.load_model(model_name, device, compute_type=compute_type, download_root=whisperx_model_dir)
File "f:\ai\videolingo\videolingo\third_party\whisperx\whisperx\asr.py", line 288, in load_model
model = model or WhisperModel(whisper_arch,
File "F:\Programs\anaconda3\envs\videolingo\lib\site-packages\faster_whisper\transcribe.py", line 127, in init
model_path = download_model(
File "F:\Programs\anaconda3\envs\videolingo\lib\site-packages\faster_whisper\utils.py", line 119, in download_model
return huggingface_hub.snapshot_download(repo_id, *kwargs)
File "F:\Programs\anaconda3\envs\videolingo\lib\site-packages\huggingface_hub\utils_validators.py", line 114, in _inner_fn
return fn(args, **kwargs)
File "F:\Programs\anaconda3\envs\videolingo\lib\site-packages\huggingface_hub_snapshot_download.py", line 219, in snapshot_download
raise LocalEntryNotFoundError(
huggingface_hub.errors.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.