Error during speech recognition stage[faster-whisper(Built-in)] The model download failed. Please click the button [Model Download URL] to manually download all files to:
E:/win-pyvideotrans-v4.18/models/models--mobiuslabsgmbh--faster-whisper-large-v3-turbo
Traceback (most recent call last):
File "videotrans\util\help_down.py", line 126, in check_and_down_hf
File "huggingface_hub\utils\_validators.py", line 88, in _inner_fn
return fn(*args, **kwargs)File "huggingface_hub\_snapshot_download.py", line 310, 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.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "videotrans\util\help_down.py", line 142, in check_and_down_hf
File "huggingface_hub\utils\_validators.py", line 88, in _inner_fn
return fn(*args, **kwargs)File "huggingface_hub\_snapshot_download.py", line 455, in snapshot_download
thread_map(File "tqdm\contrib\concurrent.py", line 69, in thread_map
return _executor_map(ThreadPoolExecutor, fn, *iterables, **tqdm_kwargs)File "tqdm\contrib\concurrent.py", line 51, in _executor_map
return list(tqdm_class(ex.map(fn, *iterables, chunksize=ch......
[Errno 28] No space left on device
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "videotrans\task\only_one.py", line 84, in run
File "videotrans\task\_stage_recogn.py", line 64, in recogn
File "videotrans\recognition\__init__.py", line 148, in run
File "videotrans\recognition\_base.py", line 99, in run
File "videotrans\recognition\_whisper.py", line 48, in _download
File "videotrans\util\help_down.py", line 184, in check_and_down_hf
videotrans.configure.excepts.DownloadModelsError: The model download failed. Please click the button [Model Download URL] to manually download all files to:
E:/win-pyvideotrans-v4.18/models/models--mobiuslabsgmbh--faster-whisper-large-v3-turbo
trk=Translation V/A 单视频模式
Select Media File: C:/Users/gunab/OneDrive/Desktop/One of the most iconic lines in movie history. (1080p).mp4,
Output Directory: H:/CONVERT/One of the most iconic lines in movie history. (1080p)-mp4,
self.cfg.cache_folder='E:/win-pyvideotrans-v4.18/tmp/18508/8a20ef8fa1'
Selected Clear Output, Not-Selected Enable CUDA
STT Service:faster-whisper(Built-in), large-v3-turbo, Spoken: English
Max Speech Duration (s): 5s
Min Speech Duration (ms): 3000ms
Min Silence Duration for Split (ms): 600ms
VAD Speech Threshold: 0.45
VAD Engine: silero
Compute Type:default
Beam Size:5
Best Of:5
Condition on Previous Text:False
Repetition Penalty:1.0
Compression Ratio Threshold:2.4
TranslateSrt:Google Translate (Free),Spoken:English,Target:Tamil
Traditional Translation Batch Size (Lines): 5
TTS Service:Edge-TTS (Free), Voices:Pallavi(Female/IN), Target:Tamil
Volume:+0%, Speed:+0%, Selected TTS Speedup, Not-Selected Slow Video
Selected Trim Start/End Silence in Dubbed Segments
Silence Removal Intensity: default
Hard Subtitles
Max Line Length (CJK Characters):15, Max Line Length (Non-CJK):40
Selected Output MP4 Only
video duration:7882ms
video information:{'video_fps': 23.976023976023978, 'r_frame_rate': 23.976023976023978, 'video_codec_name': 'h264', 'audio_codec_name': 'aac', 'width': 1080, 'height': 1920, 'time': 7882, 'streams_len': 2, 'streams_audio': 1, 'video_streams': 1, 'color': 'yuv420p'}
self.cfg=TaskCfgVTT(uuid='8a20ef8fa1', name='C:/Users/gunab/OneDrive/Desktop/One of the most iconic lines in movie history. (1080p).mp4', dirname='C:/Users/gunab/OneDrive/Desktop', noextname='One of the most iconic lines in movie history. (1080p)', basename='One of the most iconic lines in movie history. (1080p).mp4', ext='mp4', target_dir='H:/CONVERT/One of the most iconic lines in movie history. (1080p)-mp4', cache_folder='E:/win-pyvideotrans-v4.18/tmp/18508/8a20ef8fa1', is_cuda=False, source_language='English', source_language_code='en', source_sub='H:/CONVERT/One of the most iconic lines in movie history. (1080p)-mp4/en.srt', source_wav='E:/win-pyvideotrans-v4.18/tmp/18508/8a20ef8fa1/en.wav', source_wav_output='H:/CONVERT/One of the most iconic lines in movie history. (1080p)-mp4/en.m4a', target_language='Tamil', target_language_code='ta', target_sub='H:/CONVERT/One of the most iconic lines in movie history. (1080p)-mp4/ta.srt', target_wav='E:/win-pyvideotrans-v4.18/tmp/18508/8a20ef8fa1/target.wav', target_wav_output='H:/CONVERT/One of the most iconic lines in movie history. (1080p)-mp4/ta.m4a', translate_type=0, tts_type=0, volume='+0%', pitch='+0Hz', voice_rate='+0%', voice_role='Pallavi(Female/IN)', voice_autorate=True, video_autorate=False, remove_silent_mid=False, align_sub_audio=True, detect_language='en', recogn_type=0, model_name='large-v3-turbo', shibie_audio=None, remove_noise=False, enable_diariz=False, nums_diariz=0, rephrase=False, fix_punc=0, app_mode='biaozhun', subtitle_language=None, targetdir_mp4='H:/CONVERT/One of the most iconic lines in movie history. (1080p)-mp4/One of the most iconic lines in movie history. (1080p).mp4', novoice_mp4='E:/win-pyvideotrans-v4.18/tmp/18508/8a20ef8fa1/novoice.mp4', is_separate=False, embed_bgm=True, instrument='E:/win-pyvideotrans-v4.18/tmp/18508/8a20ef8fa1/instrument.wav', vocal='E:/win-pyvideotrans-v4.18/tmp/18508/8a20ef8fa1/vocal.wav', clear_cache=True, background_music='', subtitle_type=1, only_out_mp4=True, recogn2pass=False, output_srt=0, copysrt_rawvideo=False, loop_backaudio=1, backaudio_volume=0.8, batch=False)
video_duration_ms=7882
=
system:Windows-10-10.0.26300-SP0
version:v4.18
frozen:True
language:en_US
root_dir:E:/win-pyvideotrans-v4.18