forked from mrq/ai-voice-cloning
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10
src/utils.py
10
src/utils.py
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@ -378,8 +378,16 @@ def generate(
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if voice and voice != "random" and conditioning_latents is not None:
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with open(f'{get_voice_dir()}/{voice}/cond_latents.pth', 'rb') as f:
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latents_path = f'{get_voice_dir()}/{voice}/cond_latents.pth'
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if hasattr(tts, 'autoregressive_model_hash'):
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latents_path = f'{get_voice_dir()}/{voice}/cond_latents_{tts.autoregressive_model_hash[:8]}.pth'
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try:
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with open(latents_path, 'rb') as f:
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info['latents'] = base64.b64encode(f.read()).decode("ascii")
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except Exception as e:
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pass
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if args.embed_output_metadata:
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for name in progress.tqdm(audio_cache, desc="Embedding metadata..."):
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