mrq/ai-voice-cloning
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mrq 2023-02-17 06:06:50 +00:00
parent 12933cfd60
commit 59d0f08244
2 changed files with 2 additions and 2 deletions
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2
src/utils.py
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@ -496,7 +496,7 @@ def prepare_dataset( files, outdir ):
torchaudio.save(f"{outdir}/{sliced_name}", sliced_waveform, sampling_rate) torchaudio.save(f"{outdir}/{sliced_name}", sliced_waveform, sampling_rate)
transcription.append(f"{sliced_name}|{segment['text'].trim()}") transcription.append(f"{sliced_name}|{segment['text'].strip()}")
idx = idx + 1 idx = idx + 1
with open(f'{outdir}/whisper.json', 'w', encoding="utf-8") as f: with open(f'{outdir}/whisper.json', 'w', encoding="utf-8") as f:

2
src/webui.py
View File

@ -428,7 +428,7 @@ def setup_gradio():
gr.Checkbox(label="Use CUDA for Voice Fixer", value=args.voice_fixer_use_cuda), gr.Checkbox(label="Use CUDA for Voice Fixer", value=args.voice_fixer_use_cuda),
gr.Checkbox(label="Force CPU for Conditioning Latents", value=args.force_cpu_for_conditioning_latents), gr.Checkbox(label="Force CPU for Conditioning Latents", value=args.force_cpu_for_conditioning_latents),
gr.Textbox(label="Device Override", value=args.device_override), gr.Textbox(label="Device Override", value=args.device_override),
gr.Dropdown(label="Whisper Model", value=args.whisper_model, choices=["tiny", "base", "small", "medium", "large"]), gr.Dropdown(label="Whisper Model", value=args.whisper_model, choices=["tiny", "tiny.en", "base", "base.en", "small", "small.en", "medium", "medium.en", "large"]),
] ]
gr.Button(value="Check for Updates").click(check_for_updates) gr.Button(value="Check for Updates").click(check_for_updates)
gr.Button(value="Reload TTS").click(reload_tts) gr.Button(value="Reload TTS").click(reload_tts)