2024-04-21 17:09:08 +08:00
|
|
|
|
# 采用gpt-sovits方案，bert-sovits适合长音频训练，gpt-sovits运行短音频快速推理
|
|
|
|
|
|
## 部署tts推理
|
|
|
|
|
|
git clone https://github.com/X-T-E-R/GPT-SoVITS-Inference.git
|
|
|
|
|
|
|
|
|
|
|
|
1. 安装依赖库
|
|
|
|
|
|
```
|
|
|
|
|
|
conda create -n GPTSoVits python=3.9
|
|
|
|
|
|
conda activate GPTSoVits
|
|
|
|
|
|
bash install.sh
|
|
|
|
|
|
```
|
|
|
|
|
|
从 [GPT-SoVITS Models](https://huggingface.co/lj1995/GPT-SoVITS) 下载预训练模型，并将它们放置在 `GPT_SoVITS\pretrained_models` 中
|
|
|
|
|
|
|
|
|
|
|
|
2. Model Folder Format
|
|
|
|
|
|
模型文件下载地址 https://www.yuque.com/xter/zibxlp/gsximn7ditzgispg
|
|
|
|
|
|
下载的模型文件放到trained目录下, 如 `trained/Character1/`
|
|
|
|
|
|
Put the pth / ckpt / wav files in it, the wav should be named as the prompt text
|
|
|
|
|
|
Like :
|
|
|
|
|
|
|
|
|
|
|
|
```
|
|
|
|
|
|
trained
|
|
|
|
|
|
--hutao
|
|
|
|
|
|
----hutao-e75.ckpt
|
|
|
|
|
|
----hutao_e60_s3360.pth
|
|
|
|
|
|
----hutao said something.wav
|
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
|
|
3. 启动
|
|
|
|
|
|
后端接口: python Inference/src/tts_backend.py
|
|
|
|
|
|
如果有错误提示找不到cmudict，从这下载https://github.com/nltk/nltk_data，将packages改名为nltk_data放到home目录下
|
|
|
|
|
|
管理页面: python Inference/src/TTS_Webui.py, 浏览器打开可以管理character和emotion
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
4. 接口测试
|
|
|
|
|
|
Character and Emotion List
|
|
|
|
|
|
To obtain the supported characters and their corresponding emotions, please visit the following URL:
|
|
|
|
|
|
- URL: `http://127.0.0.1:5000/character_list`
|
|
|
|
|
|
- Returns: A JSON format list of characters and corresponding emotions
|
|
|
|
|
|
- Method: `GET`
|
|
|
|
|
|
|
|
|
|
|
|
```
|
|
|
|
|
|
{
|
|
|
|
|
|
"Hanabi": [
|
|
|
|
|
|
"default",
|
|
|
|
|
|
"Normal",
|
|
|
|
|
|
"Yandere",
|
|
|
|
|
|
],
|
|
|
|
|
|
"Hutao": [
|
|
|
|
|
|
"default"
|
|
|
|
|
|
]
|
|
|
|
|
|
}
|
|
|
|
|
|
```
|
