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ai-voice-cloning/src/cli.py

66 lines
3.1 KiB
Python

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