86 lines
2.7 KiB
Markdown
86 lines
2.7 KiB
Markdown
# Real-time ChatGPT service, support GPT3/GPT4, support conversation and generate pictures from sentences
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- [English README](README.md)
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- [中文 README](README_CN.md)
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## About chatgpt-service and 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 is a backend service, used to receive chatGPT messages in real time, and feed back to chatGPT-stream in real time through websocket
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- chatgpt-stream: [https://github.com/cookeem/chatgpt-stream](https://github.com/cookeem/chatgpt-stream)
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- chatgpt-stream is a front-end service that receives messages returned by chatGPT-service in real time through websocket
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## gitee
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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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## Demo
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- Real-time conversation mode
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- Generate picture patterns from sentences
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## Quick start
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```bash
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# Pull source code
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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's registration page: https://beta.openai.com/signup
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# ChatGPT registration tutorial: https://www.cnblogs.com/damugua/p/16969508.html
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# ChatGPT API key management page: https://beta.openai.com/account/api-keys
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# Modify the config.yaml configuration file, modify the apiKey, and change it to your openai.com API key
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vi config.yaml
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# your openai.com API key
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apiKey: "xxxxxx"
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# create pictures directory
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mkdir -p assets
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chown -R 1000:1000 assets
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# Start the service with docker-compose
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docker-compose up -d
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# Check service status
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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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# To access the page, please ensure that your server can access the chatGPT API
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# http://localhost:3000
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```
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- Enter the question directly, it will call the ChatGPT interface to return the answer
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- Enter the picture description after `/image`, it will call the DALL-E2 interface to automatically generate pictures through the picture description
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## How to build
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```bash
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# Pull build dependencies
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go mod tidy
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# Compile the project
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go build
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# Run the service
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./chatgpt-service
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# API url
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# ws://localhost:9000/api/ws/chat
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# Install wscat
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npm install -g wscat
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# Use wscat to test websocket, then enter the question you want to query
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wscat --connect ws://localhost:9000/api/ws/chat
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``` |