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