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Anime-Recommender-Service

  • This repository implement a way to combine machine learning model
    (recommender system) with FastApi backend and celery worker with Streamlit
    as frontend demonstration.
  • The machine model is implemented in the recanime package

Demo

  • By adjusting your personal attributes with the slider bar to recommend the top
    10 of anime that you potentially most like.

Quick Start

docker-compose up -d

Website URL:
http://localhost

Backend Swagger UI URL:
http://localhost/docs

Traefik UI URL:
http://localhost:8090