Merge pull request #91 from Degree-21/fix-doc-tts
Fix GPT-SoVITS tts doc
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commit
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@ -15,3 +15,4 @@ pretrained
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*.mp4
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.DS_Store
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workspace/log_ngp.txt
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.idea
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@ -10,6 +10,20 @@ 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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@ -25,15 +39,18 @@ trained
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```
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## 3. 启动
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### 3.1 后端服务:
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python Inference/src/tts_backend.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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### 3.2 管理character:
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python Inference/src/Character_Manager.py
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浏览器打开可以管理character和emotion
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### 3.3 测试tts功能:
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python Inference/src/TTS_Webui.py
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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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@ -96,4 +113,27 @@ To obtain the supported characters and their corresponding emotions, please visi
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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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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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