利用API部署自己的AGI

简单记录一下chatgpt-demo这个项目的部署过程。

# ---- Dependencies ----
FROM node:19.7.0
WORKDIR /app
COPY chatgpt-demo /app
RUN npm config set registry https://registry.npmmirror.com \
 && npm install \
 && rm ./src/pages/api/generate.ts
ENV PORT=3000
CMD ["npm", "run", "dev", "--", "--port", "3000", "--host", "0.0.0.0"]

version: '3.3'
services:
    chatgpt:
        container_name: chatgpt
        restart: always
        image: limour/chatgpt
        ports:
            - '6903:3000'
        volumes:
            - ./.env:/app/.env
            - ./generate.ts:/app/src/pages/api/generate.ts

• mkdir -p ~/app/chatGPT && cd ~/app/chatGPT && nano Dockerfile && nano docker-compose.yml
• git clone --depth=1 https://ghproxy.com/https://github.com/ddiu8081/chatgpt-demo.git
• cp ./chatgpt-demo/.env.example .env && nano .env # 填上自己的key
• cp ./chatgpt-demo/src/pages/api/generate.ts generate.ts && nano generate.ts # 改成自己反代的api地址
• 自己反代的api的方法：利用Golang反代某AI的API
• sudo docker build -t limour/chatgpt .
• sudo docker-compose up -d && sudo docker-compose logs
• 反代 6903 端口