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@ -15,3 +15,4 @@ pretrained
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*.mp4
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*.mp4
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.DS_Store
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.DS_Store
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workspace/log_ngp.txt
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workspace/log_ngp.txt
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.idea
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@ -0,0 +1,8 @@
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# Default ignored files
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/shelf/
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/workspace.xml
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# Editor-based HTTP Client requests
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/httpRequests/
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# Datasource local storage ignored files
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/dataSources/
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/dataSources.local.xml
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@ -0,0 +1,49 @@
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<component name="InspectionProjectProfileManager">
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<profile version="1.0">
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<option name="myName" value="Project Default" />
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<inspection_tool class="DuplicatedCode" enabled="true" level="WEAK WARNING" enabled_by_default="true">
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<Languages>
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<language minSize="50" name="Python" />
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</Languages>
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</inspection_tool>
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<inspection_tool class="Eslint" enabled="true" level="WARNING" enabled_by_default="true" />
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<inspection_tool class="PyPackageRequirementsInspection" enabled="true" level="WARNING" enabled_by_default="true">
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<option name="ignoredPackages">
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<value>
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<list size="4">
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<item index="0" class="java.lang.String" itemvalue="ffmpeg" />
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<item index="1" class="java.lang.String" itemvalue="pyjwt" />
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<item index="2" class="java.lang.String" itemvalue="Flask" />
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<item index="3" class="java.lang.String" itemvalue="Requests" />
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</list>
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</value>
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</option>
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</inspection_tool>
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<inspection_tool class="PyPep8Inspection" enabled="true" level="WEAK WARNING" enabled_by_default="true">
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<option name="ignoredErrors">
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<list>
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<option value="W292" />
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</list>
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</option>
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</inspection_tool>
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<inspection_tool class="PyPep8NamingInspection" enabled="true" level="WEAK WARNING" enabled_by_default="true">
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<option name="ignoredErrors">
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<list>
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<option value="N803" />
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<option value="N801" />
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<option value="N806" />
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<option value="N802" />
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</list>
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</option>
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</inspection_tool>
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<inspection_tool class="PyUnresolvedReferencesInspection" enabled="true" level="WARNING" enabled_by_default="true">
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<option name="ignoredIdentifiers">
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<list>
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<option value="execjs" />
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<option value="xlrd" />
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<option value="jwt" />
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</list>
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</option>
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</inspection_tool>
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</profile>
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</component>
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<component name="InspectionProjectProfileManager">
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<settings>
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<option name="USE_PROJECT_PROFILE" value="false" />
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<version value="1.0" />
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</settings>
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</component>
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<?xml version="1.0" encoding="UTF-8"?>
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<module type="PYTHON_MODULE" version="4">
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<component name="Flask">
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<option name="enabled" value="true" />
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</component>
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<component name="NewModuleRootManager">
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<content url="file://$MODULE_DIR$" />
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<orderEntry type="inheritedJdk" />
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<orderEntry type="sourceFolder" forTests="false" />
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</component>
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<component name="PyDocumentationSettings">
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<option name="format" value="NUMPY" />
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<option name="myDocStringFormat" value="NumPy" />
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</component>
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<component name="TemplatesService">
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<option name="TEMPLATE_CONFIGURATION" value="Jinja2" />
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</component>
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</module>
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<?xml version="1.0" encoding="UTF-8"?>
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<project version="4">
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<component name="ProjectModuleManager">
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<modules>
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<module fileurl="file://$PROJECT_DIR$/.idea/metahuman-stream.iml" filepath="$PROJECT_DIR$/.idea/metahuman-stream.iml" />
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</modules>
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</component>
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</project>
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<?xml version="1.0" encoding="UTF-8"?>
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<project version="4">
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<component name="VcsDirectoryMappings">
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<mapping directory="" vcs="Git" />
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</component>
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</project>
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@ -10,6 +10,20 @@ bash install.sh
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```
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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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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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## 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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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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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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```
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## 3. 启动
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## 3. 启动
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### 3.1 后端服务:
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### 3.1 启动webui界面
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python Inference/src/tts_backend.py
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python webuis/character_manager/webui.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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可以设置上传的模型数据
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### 3.2 管理character:
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### 3.2 启动api服务:
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python Inference/src/Character_Manager.py
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python app.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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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. 接口说明
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### 4.1 Character and Emotion List
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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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## 部署tts训练
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https://github.com/RVC-Boss/GPT-SoVITS
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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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