mini-recsys

mini recommender system with FastAPI and Streamlit

Environments

• Python 3.9.4
• Docker

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Run

Local

# launch FastAPI application server
pip3 install -r server/requirements.txt \
  && cd server/src \
  && uvicorn main:app --port 8080 --reload

# launch Streamlit application server
pip3 install -r client/requirements.txt \
  && cd client/src \
  && streamlit run main.py --server.port 8501

Docker container

docker-compose up --build

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URL

UI

• http://localhost:8501

Docs

• http://localhost:8080/docs

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TODO

• execute app with gunicorn
• execute app on docker container
• porting web application using streamlit
• improve streamlit UI for recommendation result
• test and fix bugs