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Copy pathdocker-compose.yml
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108 lines (103 loc) · 2.14 KB
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services:
db:
image: postgres:13
container_name: robotdoc-db
env_file: .env
environment:
- POSTGRES_USER
- POSTGRES_PASSWORD
- POSTGRES_DB
ports:
- "5500:5432"
volumes:
- pgdata:/var/lib/postgresql/data
- ./db/robotdb.sql:/docker-entrypoint-initdb.d/init.sql
networks:
- robodoc-net
backend:
build:
context: ./backend
dockerfile: Dockerfile
container_name: robotdoc-backend
environment:
- DATABASE_URL
- APP_SCRT_KEY
- PYTHONDONTWRITEBYTECODE=1
- CORS_ORIGINS
ports:
- "5000:5000"
depends_on:
- db
- llama
volumes:
- ./backend:/app
- pip_cache:/root/.cache/pip
- llava_imgs:/app/modules/img
networks:
- robodoc-net
frontend:
build:
context: ./frontend
dockerfile: Dockerfile
args:
VITE_BACKEND_URL: ${VITE_BACKEND_URL}
container_name: robotdoc-frontend
env_file: .env
environment:
- VITE_BACKEND_URL=${VITE_BACKEND_URL}
ports:
- "8080:80"
depends_on:
- backend
networks:
- robodoc-net
llama:
build:
context: ./llama
dockerfile: Dockerfile
container_name: robotdoc-llama
environment:
- NVIDIA_VISIBLE_DEVICES=all
ports:
- "65143:65143"
volumes:
- ./llama:/app
- pip_cache:/root/.cache/pip
- hf_cache:/root/.cache/huggingface
working_dir: /app
deploy:
resources:
reservations:
devices:
- capabilities: [gpu]
networks:
- robodoc-net
llava:
build:
context: ./llava
dockerfile: Dockerfile
container_name: robotdoc-llava
environment:
- NVIDIA_VISIBLE_DEVICES=all
ports:
- "65533:65533"
volumes:
- ./llava:/app
- pip_cache:/root/.cache/pip
- hf_cache:/root/.cache/huggingface
- llava_imgs:/app/img
working_dir: /app
deploy:
resources:
reservations:
devices:
- capabilities: [gpu]
networks:
- robodoc-net
volumes:
pgdata:
pip_cache:
hf_cache:
llava_imgs:
networks:
robodoc-net: