140 lines
4.1 KiB
Markdown
140 lines
4.1 KiB
Markdown
# 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
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## 部署tts推理
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git clone https://github.com/X-T-E-R/GPT-SoVITS-Inference.git
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## 1. 安装依赖库
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```
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conda create -n GPTSoVits python=3.9
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conda activate GPTSoVits
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bash install.sh
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```
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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
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注意
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```
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是将 GPT-SoVITS 的模型文件放入 pretrained_models目录中
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```
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如下
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```
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pretrained_models/
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--chinese-hubert-base
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--chinese-roberta-wwm-ext-large
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s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt
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s2D488k.pth
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s2G488k.pth
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```
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## 2. Model Folder Format
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模型文件下载地址 https://www.yuque.com/xter/zibxlp/gsximn7ditzgispg
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下载的模型文件放到trained目录下, 如 `trained/Character1/`
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Put the pth / ckpt / wav files in it, the wav should be named as the prompt text
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Like :
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```
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trained
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--hutao
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----hutao-e75.ckpt
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----hutao_e60_s3360.pth
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----hutao said something.wav
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```
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## 3. 启动
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### 3.1 启动webui界面
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python webuis/character_manager/webui.py
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可以设置上传的模型数据
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### 3.2 启动api服务:
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python app.py
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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
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### 3.3 tts测试
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访问 http://127.0.0.1:5000 地址即可测试
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### 3.4 api测试
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访问 http://127.0.0.1:5000/character_list 查看是否正常
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## 4. 接口说明
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### 4.1 Character and Emotion List
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To obtain the supported characters and their corresponding emotions, please visit the following URL:
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- URL: `http://127.0.0.1:5000/character_list`
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- Returns: A JSON format list of characters and corresponding emotions
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- Method: `GET`
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```
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{
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"Hanabi": [
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"default",
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"Normal",
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"Yandere",
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],
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"Hutao": [
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"default"
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]
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}
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```
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### 4.2 Text-to-Speech
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- URL: `http://127.0.0.1:5000/tts`
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- Returns: Audio on success. Error message on failure.
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- Method: `GET`/`POST`
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```
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{
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"method": "POST",
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"body": {
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"character": "${chaName}",
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"emotion": "${Emotion}",
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"text": "${speakText}",
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"text_language": "${textLanguage}",
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"batch_size": ${batch_size},
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"speed": ${speed},
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"top_k": ${topK},
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"top_p": ${topP},
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"temperature": ${temperature},
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"stream": "${stream}",
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"format": "${Format}",
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"save_temp": "${saveTemp}"
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}
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}
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```
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##### Parameter Explanation
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- **text**: The text to be converted, URL encoding is recommended.
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- **character**: Character folder name, pay attention to case sensitivity, full/half width, and language.
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- **emotion**: Character emotion, must be an actually supported emotion of the character, otherwise, the default emotion will be used.
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- **text_language**: Text language (auto / zh / en / ja), default is multilingual mixed.
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- **top_k**, **top_p**, **temperature**: GPT model parameters, no need to modify if unfamiliar.
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- **batch_size**: How many batches at a time, can be increased for faster processing if you have a powerful computer, integer, default is 1.
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- **speed**: Speech speed, default is 1.0.
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- **save_temp**: Whether to save temporary files, when true, the backend will save the generated audio, and subsequent identical requests will directly return that data, default is false.
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- **stream**: Whether to stream, when true, audio will be returned sentence by sentence, default is false.
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- **format**: Format, default is WAV, allows MP3/ WAV/ OGG.
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## 部署tts训练
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https://github.com/RVC-Boss/GPT-SoVITS
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根据文档说明部署，将训练后的模型拷到推理服务的trained目录下
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## 如果你需要使用autodl 进行部署
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请使用 https://www.codewithgpu.com/i/RVC-Boss/GPT-SoVITS/GPT-SoVITS 作为基础镜像你能快速进行部署
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### 下载
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```
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https://github.com/X-T-E-R/GPT-SoVITS-Inference
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```
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### 安装
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```
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cd GPT-SoVITS-Inference
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pip3 install -r requirements.txt
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cp -r GPT_SoVITS/pretrained_models/ ./GPT_SoVITS/pretrained_models
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```
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### 启动api
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```
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python3 app.py
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```
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### 启动webui
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```
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python3 webuis/character_manager/webui.py
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```
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