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I am running into these errors and im not sure why :
Exception has occurred: FileNotFoundError
[Errno 2] No such file or directory: 'C:\Users\bobca\OneDrive\Documents\AI\aiVoiceMaker\audiosplitter_whisper\data\output\1.srt'
File "C:\Users\bobca\OneDrive\Documents\AI\aiVoiceMaker\audiosplitter_whisper\split_audio.py", line 96, in extract_audio_with_srt
subs = pysrt.open(srt_file)
^^^^^^^^^^^^^^^^^^^^
File "C:\Users\bobca\OneDrive\Documents\AI\aiVoiceMaker\audiosplitter_whisper\split_audio.py", line 150, in process_audio_files
extract_audio_with_srt(audio_file_path, srt_file, speaker_segments_dir)
File "C:\Users\bobca\OneDrive\Documents\AI\aiVoiceMaker\audiosplitter_whisper\split_audio.py", line 180, in main
process_audio_files(input_folder, settings)
File "C:\Users\bobca\OneDrive\Documents\AI\aiVoiceMaker\audiosplitter_whisper\split_audio.py", line 183, in
main()
FileNotFoundError: [Errno 2] No such file or directory: 'C:\Users\bobca\OneDrive\Documents\AI\aiVoiceMaker\audiosplitter_whisper\data\output\1.srt'
CUDA is available. Running on GPU.
The torchaudio backend is switched to 'soundfile'. Note that 'sox_io' is not supported on Windows.
The torchaudio backend is switched to 'soundfile'. Note that 'sox_io' is not supported on Windows.
Lightning automatically upgraded your loaded checkpoint from v1.5.4 to v2.2.0.post0. To apply the upgrade to your files permanently, run python -m pytorch_lightning.utilities.upgrade_checkpoint C:\Users\bobca\.cache\torch\whisperx-vad-segmentation.bin
Model was trained with pyannote.audio 0.0.1, yours is 3.1.1. Bad things might happen unless you revert pyannote.audio to 0.x.
Model was trained with torch 1.10.0+cu102, yours is 2.0.0+cu118. Bad things might happen unless you revert torch to 1.x.
Performing transcription...
Traceback (most recent call last):
File "", line 198, in _run_module_as_main
File "", line 88, in run_code
File "C:\Users\bobca\OneDrive\Documents\AI\aiVoiceMaker\audiosplitter_whisper\venv\Scripts\whisperx.exe_main.py", line 7, in
File "C:\Users\bobca\OneDrive\Documents\AI\aiVoiceMaker\audiosplitter_whisper\venv\Lib\site-packages\whisperx\transcribe.py", line 176, in cli
result = model.transcribe(audio, batch_size=batch_size, chunk_size=chunk_size, print_progress=print_progress)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\bobca\OneDrive\Documents\AI\aiVoiceMaker\audiosplitter_whisper\venv\Lib\site-packages\whisperx\asr.py", line 218, in transcribe
for idx, out in enumerate(self.call(data(audio, vad_segments), batch_size=batch_size, num_workers=num_workers)):
File "C:\Users\bobca\OneDrive\Documents\AI\aiVoiceMaker\audiosplitter_whisper\venv\Lib\site-packages\transformers\pipelines\pt_utils.py", line 124, in next
item = next(self.iterator)
^^^^^^^^^^^^^^^^^^^
File "C:\Users\bobca\OneDrive\Documents\AI\aiVoiceMaker\audiosplitter_whisper\venv\Lib\site-packages\transformers\pipelines\pt_utils.py", line 125, in next
processed = self.infer(item, **self.params)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\bobca\OneDrive\Documents\AI\aiVoiceMaker\audiosplitter_whisper\venv\Lib\site-packages\transformers\pipelines\base.py", line 1102, in forward
model_outputs = self._forward(model_inputs, **forward_params)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\bobca\OneDrive\Documents\AI\aiVoiceMaker\audiosplitter_whisper\venv\Lib\site-packages\whisperx\asr.py", line 152, in _forward
outputs = self.model.generate_segment_batched(model_inputs['inputs'], self.tokenizer, self.options)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\bobca\OneDrive\Documents\AI\aiVoiceMaker\audiosplitter_whisper\venv\Lib\site-packages\whisperx\asr.py", line 47, in generate_segment_batched
encoder_output = self.encode(features)
^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\bobca\OneDrive\Documents\AI\aiVoiceMaker\audiosplitter_whisper\venv\Lib\site-packages\whisperx\asr.py", line 86, in encode
return self.model.encode(features, to_cpu=to_cpu)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
RuntimeError: Library cublas64_12.dll is not found or cannot be loaded
The text was updated successfully, but these errors were encountered:
I am running into these errors and im not sure why :
Exception has occurred: FileNotFoundError
[Errno 2] No such file or directory: 'C:\Users\bobca\OneDrive\Documents\AI\aiVoiceMaker\audiosplitter_whisper\data\output\1.srt'
File "C:\Users\bobca\OneDrive\Documents\AI\aiVoiceMaker\audiosplitter_whisper\split_audio.py", line 96, in extract_audio_with_srt
subs = pysrt.open(srt_file)
^^^^^^^^^^^^^^^^^^^^
File "C:\Users\bobca\OneDrive\Documents\AI\aiVoiceMaker\audiosplitter_whisper\split_audio.py", line 150, in process_audio_files
extract_audio_with_srt(audio_file_path, srt_file, speaker_segments_dir)
File "C:\Users\bobca\OneDrive\Documents\AI\aiVoiceMaker\audiosplitter_whisper\split_audio.py", line 180, in main
process_audio_files(input_folder, settings)
File "C:\Users\bobca\OneDrive\Documents\AI\aiVoiceMaker\audiosplitter_whisper\split_audio.py", line 183, in
main()
FileNotFoundError: [Errno 2] No such file or directory: 'C:\Users\bobca\OneDrive\Documents\AI\aiVoiceMaker\audiosplitter_whisper\data\output\1.srt'
CUDA is available. Running on GPU.
The torchaudio backend is switched to 'soundfile'. Note that 'sox_io' is not supported on Windows.
The torchaudio backend is switched to 'soundfile'. Note that 'sox_io' is not supported on Windows.
Lightning automatically upgraded your loaded checkpoint from v1.5.4 to v2.2.0.post0. To apply the upgrade to your files permanently, run
python -m pytorch_lightning.utilities.upgrade_checkpoint C:\Users\bobca\.cache\torch\whisperx-vad-segmentation.bin
Model was trained with pyannote.audio 0.0.1, yours is 3.1.1. Bad things might happen unless you revert pyannote.audio to 0.x.
Model was trained with torch 1.10.0+cu102, yours is 2.0.0+cu118. Bad things might happen unless you revert torch to 1.x.
The text was updated successfully, but these errors were encountered: