Hello dev first of all thanks alot for this awesome tool , i just started using it but when i try to create dataset i get this error
Loading specialized model for language: en
Loading Whisper model: base.en
Loaded Whisper model
Failed to transcribe: ./voices\zelda\vocal_000.wav
Failed to transcribe: ./voices\zelda\vocal_001.wav
Failed to transcribe: ./voices\zelda\vocal_002.wav
Failed to transcribe: ./voices\zelda\vocal_003.wav
Failed to transcribe: ./voices\zelda\vocal_004.wav
Failed to transcribe: ./voices\zelda\vocal_005.wav
Failed to transcribe: ./voices\zelda\vocal_006.wav
Failed to transcribe: ./voices\zelda\vocal_007.wav
Failed to transcribe: ./voices\zelda\vocal_008.wav
Traceback (most recent call last):
File "D:\ai\ai-audio-clone\ai-voice-cloning\venv\lib\site-packages\gradio\routes.py", line 394, in run_predict
output = await app.get_blocks().process_api(
File "D:\ai\ai-audio-clone\ai-voice-cloning\venv\lib\site-packages\gradio\blocks.py", line 1075, in process_api
result = await self.call_function(
File "D:\ai\ai-audio-clone\ai-voice-cloning\venv\lib\site-packages\gradio\blocks.py", line 884, in call_function
prediction = await anyio.to_thread.run_sync(
File "D:\ai\ai-audio-clone\ai-voice-cloning\venv\lib\site-packages\anyio\to_thread.py", line 31, in run_sync
return await get_asynclib().run_sync_in_worker_thread(
File "D:\ai\ai-audio-clone\ai-voice-cloning\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 937, in run_sync_in_worker_thread
return await future
File "D:\ai\ai-audio-clone\ai-voice-cloning\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 867, in run
result = context.run(func, *args)
File "D:\ai\ai-audio-clone\ai-voice-cloning\src\webui.py", line 208, in prepare_dataset_proxy
message = prepare_dataset( voice, use_segments=slice_audio, text_length=validation_text_length, audio_length=validation_audio_length, progress=progress )
File "D:\ai\ai-audio-clone\ai-voice-cloning\src\utils.py", line 1570, in prepare_dataset
raise Exception(f"Missing dataset: {infile}")
Exception: Missing dataset: ./training/zelda//whisper.json
Hello dev first of all thanks alot for this awesome tool , i just started using it but when i try to create dataset i get this error
```
Loading specialized model for language: en
Loading Whisper model: base.en
Loaded Whisper model
Failed to transcribe: ./voices\zelda\vocal_000.wav
Failed to transcribe: ./voices\zelda\vocal_001.wav
Failed to transcribe: ./voices\zelda\vocal_002.wav
Failed to transcribe: ./voices\zelda\vocal_003.wav
Failed to transcribe: ./voices\zelda\vocal_004.wav
Failed to transcribe: ./voices\zelda\vocal_005.wav
Failed to transcribe: ./voices\zelda\vocal_006.wav
Failed to transcribe: ./voices\zelda\vocal_007.wav
Failed to transcribe: ./voices\zelda\vocal_008.wav
Traceback (most recent call last):
File "D:\ai\ai-audio-clone\ai-voice-cloning\venv\lib\site-packages\gradio\routes.py", line 394, in run_predict
output = await app.get_blocks().process_api(
File "D:\ai\ai-audio-clone\ai-voice-cloning\venv\lib\site-packages\gradio\blocks.py", line 1075, in process_api
result = await self.call_function(
File "D:\ai\ai-audio-clone\ai-voice-cloning\venv\lib\site-packages\gradio\blocks.py", line 884, in call_function
prediction = await anyio.to_thread.run_sync(
File "D:\ai\ai-audio-clone\ai-voice-cloning\venv\lib\site-packages\anyio\to_thread.py", line 31, in run_sync
return await get_asynclib().run_sync_in_worker_thread(
File "D:\ai\ai-audio-clone\ai-voice-cloning\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 937, in run_sync_in_worker_thread
return await future
File "D:\ai\ai-audio-clone\ai-voice-cloning\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 867, in run
result = context.run(func, *args)
File "D:\ai\ai-audio-clone\ai-voice-cloning\src\webui.py", line 208, in prepare_dataset_proxy
message = prepare_dataset( voice, use_segments=slice_audio, text_length=validation_text_length, audio_length=validation_audio_length, progress=progress )
File "D:\ai\ai-audio-clone\ai-voice-cloning\src\utils.py", line 1570, in prepare_dataset
raise Exception(f"Missing dataset: {infile}")
Exception: Missing dataset: ./training/zelda//whisper.json
```
thanks it was that ffmpeg was not set in the path as environment variable ,everything is working now
for anyone with same issue just download ffmpeg-6.0 build and set it up as environment variable
thanks it was that ffmpeg was not set in the path as environment variable ,everything is working now
for anyone with same issue just download ffmpeg-6.0 build and set it up as environment variable
Hello dev first of all thanks alot for this awesome tool , i just started using it but when i try to create dataset i get this error
Are those .wav files valid? You can use
ffprobe
to check.they work fine in generating tab
how to do this
thanks it was that ffmpeg was not set in the path as environment variable ,everything is working now
for anyone with same issue just download ffmpeg-6.0 build and set it up as environment variable