How to Develop AI Projects inside a Docker Container

version: '3.8'

services:
  my_python_dev_container:
    image: python:3.8
    container_name: python_dev
    ports:
      - "8501:8501"
    working_dir: /app
    #command: python3 app.py
    command: tail -f /dev/null #keep it running

version: '3.8'

services:
  gatsby-dev:
    image: gatsby-dev:latest
    ports:
      - "8001:8000"
    volumes:
      - app_data:/usr/src/app
      - node_modules:/usr/src/app/node_modules
    # environment:
    #   - NODE_ENV=development
    command: tail -f /dev/null #keep it running      

volumes:
  node_modules:
  app_data:

version: "3.9"

services:
  hugo:
    image: 0.107.0-ext-ubuntu-onbuild #klakegg/hugo:ext-alpine
    volumes:
      - ./mysite:/src
    ports:
      - "1313:1313"

version: '3'
services:
  jekyll:
    image: my-jekyll-site
    ports:
      - "4000:4000"  # Map the container's port to the host
    volumes:
      - jekyll-site:/app  # Mount the named volume into the container
      #- .:/app  # Mount your Jekyll site files into the container
    command: tail -f /dev/null #keep it running
volumes:
  jekyll-site:  # Define the named volume her

version: '3'
services:
  app:
    image: node:14
    volumes:
      - .:/app
    working_dir: /app
    command: bash -c "npm install && npm run dev"
    ports:
      - 5000:5000