AI-Healthcare-System/docker-compose.yml at main · pavanbadempet/AI-Healthcare-System · GitHub

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version: '3.8'

services:
  backend:
    build: .
    container_name: healthcare_backend
    command: uvicorn backend.main:app --host 0.0.0.0 --port 8000
    ports:
      - "8000:8000"
    volumes:
      - ./.env:/app/.env
      - ./healthcare.db:/app/healthcare.db
      - ./vector_store.pkl:/app/vector_store.pkl
      - ./mlruns:/app/mlruns
      - ./Datasets:/app/Datasets
      - ./Testing:/app/Testing
      - ./backend:/app/backend # Mount backend for live updates
    restart: always
    healthcheck:
      test: [ "CMD", "curl", "-f", "http://localhost:8000/" ]
      interval: 30s
      timeout: 10s
      retries: 3

  frontend:
    build: .
    container_name: healthcare_frontend
    command: streamlit run frontend/main.py --server.port 8501 --server.address 0.0.0.0
    ports:
      - "8501:8501"
    environment:
      - BACKEND_URL=http://backend:8000
    depends_on:
      backend:
        condition: service_healthy
    volumes:
      - ./.streamlit:/app/.streamlit
      - ./frontend:/app/frontend # Mount frontend for live updates

  mlflow:
    build: .
    container_name: healthcare_mlflow
    command: mlflow ui --host 0.0.0.0 --port 5000
    ports:
      - "5000:5000"
    volumes:
      - ./mlruns:/app/mlruns
    restart: always