Fastapi + MLflow + streamlit
Setup env. I hope I covered all.
pip install -r requirements.txt
Start app
Go in the root dir and run these
Streamlit
streamlit run frontend/streamlit_main.py
FastAPI
uvicorn backend.main:app
MLflow UI
mlflow ui --backend-store-uri sqlite:///db/bakckend.db
Docker
- Mlflow: http://localhost:5000
- FastApi: http://localhost:8000/docs
- Streamlit: http://localhost:8501/
docker-compose build
docker-compose up
Architecture
UI
TODO
- Dockerize
- Testing
- Maybe add celery instead of that background task? (Needs extra configs though)
