forked from mrq/ai-voice-cloning
66 lines
3.1 KiB
Python
66 lines
3.1 KiB
Python
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import os
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import argparse
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if 'TORTOISE_MODELS_DIR' not in os.environ:
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os.environ['TORTOISE_MODELS_DIR'] = os.path.realpath(os.path.join(os.getcwd(), './models/tortoise/'))
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if 'TRANSFORMERS_CACHE' not in os.environ:
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os.environ['TRANSFORMERS_CACHE'] = os.path.realpath(os.path.join(os.getcwd(), './models/transformers/'))
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os.environ['PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION'] = 'python'
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from utils import *
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if __name__ == "__main__":
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args = setup_args(cli=True)
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default_arguments = import_generate_settings()
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parser = argparse.ArgumentParser(allow_abbrev=False)
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parser.add_argument("--text", default=default_arguments['text'])
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parser.add_argument("--delimiter", default=default_arguments['delimiter'])
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parser.add_argument("--emotion", default=default_arguments['emotion'])
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parser.add_argument("--prompt", default=default_arguments['prompt'])
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parser.add_argument("--voice", default=default_arguments['voice'])
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parser.add_argument("--mic_audio", default=default_arguments['mic_audio'])
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parser.add_argument("--voice_latents_chunks", default=default_arguments['voice_latents_chunks'])
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parser.add_argument("--candidates", default=default_arguments['candidates'])
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parser.add_argument("--seed", default=default_arguments['seed'])
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parser.add_argument("--num_autoregressive_samples", default=default_arguments['num_autoregressive_samples'])
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parser.add_argument("--diffusion_iterations", default=default_arguments['diffusion_iterations'])
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parser.add_argument("--temperature", default=default_arguments['temperature'])
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parser.add_argument("--diffusion_sampler", default=default_arguments['diffusion_sampler'])
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parser.add_argument("--breathing_room", default=default_arguments['breathing_room'])
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parser.add_argument("--cvvp_weight", default=default_arguments['cvvp_weight'])
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parser.add_argument("--top_p", default=default_arguments['top_p'])
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parser.add_argument("--diffusion_temperature", default=default_arguments['diffusion_temperature'])
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parser.add_argument("--length_penalty", default=default_arguments['length_penalty'])
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parser.add_argument("--repetition_penalty", default=default_arguments['repetition_penalty'])
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parser.add_argument("--cond_free_k", default=default_arguments['cond_free_k'])
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args, unknown = parser.parse_known_args()
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kwargs = {
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'text': args.text,
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'delimiter': args.delimiter,
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'emotion': args.emotion,
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'prompt': args.prompt,
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'voice': args.voice,
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'mic_audio': args.mic_audio,
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'voice_latents_chunks': args.voice_latents_chunks,
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'candidates': args.candidates,
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'seed': args.seed,
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'num_autoregressive_samples': args.num_autoregressive_samples,
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'diffusion_iterations': args.diffusion_iterations,
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'temperature': args.temperature,
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'diffusion_sampler': args.diffusion_sampler,
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'breathing_room': args.breathing_room,
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'cvvp_weight': args.cvvp_weight,
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'top_p': args.top_p,
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'diffusion_temperature': args.diffusion_temperature,
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'length_penalty': args.length_penalty,
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'repetition_penalty': args.repetition_penalty,
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'cond_free_k': args.cond_free_k,
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'experimentals': default_arguments['experimentals'],
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}
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tts = load_tts()
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generate(**kwargs)
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