app.py

import argparse
import subprocess
import torch
import spaces
from transformers import AutoTokenizer,AutoModelForCausalLM

@torch.no_grad()
def main():
    # 设置命令行参数解析器
    parser = argparse.ArgumentParser(description="启动 WebUI")
    parser.add_argument(
        "--llama-checkpoint-path",
        type=str,
        default="checkpoints/fish-speech-1.4-sft-yth-lora",
        help="Llama 检查点路径",
    )
    parser.add_argument(
        "--decoder-checkpoint-path",
        type=str,
        default="checkpoints/fish-speech-1.4/firefly-gan-vq-fsq-8x1024-21hz-generator.pth",
        help="解码器检查点路径",
    )
    parser.add_argument(
        "--decoder-config-name",
        type=str,
        default="firefly_gan_vq",
        help="解码器配置名称",
    )
    parser.add_argument(
        "--device",
        type=str,
        default="cpu",
        help="设备类型",
    )

    # 解析命令行参数
    args = parser.parse_args()

    # 启动 WebUI
    subprocess.run([
        "python",
        "tools/webui.py",
        "--llama-checkpoint-path", args.llama_checkpoint_path,
        "--decoder-checkpoint-path", args.decoder_checkpoint_path,
        "--decoder-config-name", args.decoder_config_name,
        "--device", args.device,
    ])

if __name__ == "__main__":
    
    main()