72 lines
2.1 KiB
Markdown
72 lines
2.1 KiB
Markdown
# 实时ChatGPT服务
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## chatGPT-service和chatGPT-stream
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- chatGPT-service: [https://github.com/cookeem/chatgpt-service](https://github.com/cookeem/chatgpt-service)
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- chatGPT-service是一个后端服务,用于实时接收chatGPT的消息,并通过websocket的方式实时反馈给chatGPT-stream
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- chatGPT-stream: [https://github.com/cookeem/chatgpt-stream](https://github.com/cookeem/chatgpt-stream)
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- chatGPT-stream是一个前端服务,以websocket的方式实时接收chatGPT-service返回的消息
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## gitee传送门
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- [https://gitee.com/cookeem/chatgpt-service](https://gitee.com/cookeem/chatgpt-service)
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- [https://gitee.com/cookeem/chatgpt-stream](https://gitee.com/cookeem/chatgpt-stream)
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## 效果图
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## 快速开始
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```bash
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# 拉取代码
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git clone https://github.com/cookeem/chatgpt-service.git
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cd chatgpt-service
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# chatGPT的注册页面: https://beta.openai.com/signup
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# chatGPT的注册教程: https://www.cnblogs.com/damugua/p/16969508.html
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# chatGPT的APIkey管理界面: https://beta.openai.com/account/api-keys
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# 修改config.yaml配置文件,修改appKey,改为你的openai.com的appKey
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vi config.yaml
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# openai的appKey,改为你的apiKey
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appKey: "xxxxxx"
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# 使用docker-compose启动服务
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docker-compose up -d
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# 查看服务状态
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docker-compose ps
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Name Command State Ports
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-----------------------------------------------------------------------------------------------
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chatgpt-service /chatgpt-service/chatgpt-s ... Up 0.0.0.0:59142->9000/tcp
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chatgpt-stream /docker-entrypoint.sh ngin ... Up 0.0.0.0:3000->80/tcp,:::3000->80/tcp
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# 访问页面,请保证你的服务器可以访问chatGPT的api接口
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# http://localhost:3000
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```
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## 如何编译
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```bash
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# 拉取构建依赖
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go mod tidy
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# 项目编译
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go build
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# 执行程序
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./chatgpt-service
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# 相关接口
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# ws://localhost:9000/api/ws/chat
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# 安装wscat
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npm install -g wscat
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# 使用wscat测试websocket,然后输入你要查询的问题
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wscat --connect ws://localhost:9000/api/ws/chat
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``` |