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| from utils.hparams import hparams | |
| import scipy.io.wavfile as wav | |
| import numpy as np | |
| import matplotlib.pyplot as plt | |
| import IPython.display as ipd | |
| import utils | |
| import librosa | |
| import torch | |
| import torchcrepe | |
| from infer import * | |
| import logging | |
| from infer_tools.infer_tool import * | |
| import gradio as gr | |
| import json | |
| logging.getLogger('numba').setLevel(logging.WARNING) | |
| svc_model = None | |
| project_name = "aqua" | |
| wave_name = f"./temp.wav" | |
| model_path = f'./checkpoints/xiaxiaobai/model_ckpt_steps_150000.ckpt' | |
| config_path = f'./checkpoints/xiaxiaobai/config.yaml' | |
| spk_id = "xiaxiaobai" | |
| def infer(wav_fn, tran, accelerate, auto_key): | |
| model = Svc(project_name, config_path, hubert_gpu=False, model_path=model_path, onnx=False) | |
| if wav_fn is not None: | |
| audio_path = wav_fn | |
| else: | |
| return "请先上传wav格式的音频文件", None, None | |
| run_clip(raw_audio_path=audio_path, svc_model=model, key=tran, acc=accelerate, use_crepe=True, | |
| spk_id=spk_id, auto_key=auto_key, project_name=project_name, out_path=wave_name) | |
| au_out = wave_name | |
| return "转换成功", au_out | |
| app = gr.Blocks() | |
| with app: | |
| with gr.Tabs(): | |
| with gr.TabItem("推理"): | |
| with gr.Blocks(): | |
| with gr.Blocks(): | |
| with gr.Box(): | |
| gr.Markdown(value="""**上传音频**""") | |
| with gr.Row(): | |
| upload_input = gr.Audio(source="upload", label="源音频", type="filepath", elem_id="audio_inputs") | |
| out_audio = gr.Audio(label="输出音频") | |
| with gr.Blocks(): | |
| with gr.Box(): | |
| gr.Markdown(value="""**参数设置**""") | |
| with gr.Row(): | |
| auto = gr.Checkbox(label="启用自动变调", value=False) | |
| with gr.Row(): | |
| acc_vaule = gr.Slider(1, 100, value=50, interactive=True, label="加速倍率") | |
| with gr.Row(): | |
| pitch_vaule = gr.Slider(-96, 96, value=0, interactive=True, label="变调（半音）") | |
| with gr.Row(): | |
| with gr.Column(scale=1): | |
| infer_md = gr.Button("转换音频", variant="primary") | |
| with gr.Blocks(): | |
| with gr.Box(): | |
| gr.Markdown(value="""**输出日志**""") | |
| infer_msg = gr.Textbox(label="日志") | |
| infer_md.click(infer, [upload_input, pitch_vaule, acc_vaule, auto], [infer_msg, out_audio]) | |
| with gr.TabItem("说明"): | |
| gr.Markdown(value=""" | |
| 自改cpu推理版，无音频长度限制，无降噪功能，请确保输入音频的质量\n | |
| 有本地cpu推理的需求可以下载全部文件\n | |
| 原项目地址：https://github.com/openvpi/diff-svc\n | |
| 代码修改：@ChrisPreston\n | |
| 模型训练：@ChrisPreston\n | |
| 音源：Aqua Ch. 湊あくあ https://www.youtube.com/@MinatoAqua カバー株式会社\n | |
| 模型使用协议（重要）：\n | |
| 1.请勿用于商业目的\n | |
| 2.请勿用于会影响主播本人的行为（比如冒充本人发表争议言论）\n | |
| 3.请勿用于血腥、暴力、性相关、政治相关内容\n | |
| 4.不允许二次分发模型\n | |
| 5.非个人使用场合请注明模型作者@ChrisPreston以及diff-svc原项目\n | |
| 6.允许用于个人娱乐场景下的游戏语音、直播活动，不得用于低创内容，用于直播前请与本人联系\n | |
| 联系方式：电邮：kameiliduo0825@gmail.com, b站：https://space.bilibili.com/18801308\n | |
| 免责声明：由于使用本模型造成的法律纠纷本人概不负责 | |
| """) | |
| app.launch(share=False) | |