Personalized Anime Recommendation Web Application with Machine Learning and Python
Check out our API in action here: https://www.randomanime.org/anime-like/
git clone --recurse-submodules -j8 https://github.com/chriskok/AnimeRec.git
docker-compose up -d
to bring the system up (may take a while to build at first - once built, it’s a quick boot up)docker-compose down
cd front_end_animerec
python main.py
API_URL
variable in front_end_animerec/main.py to http://0.0.0.0:8000/cd anime-recommendation-system
uvicorn main:api --reload
To see the latest API docs, you can go to http://3.131.210.47:8000/docs. It’s currently a JSON format with each row as the key and an array of recommendationss. We’ve decided that the only changes are going to be the info stored in the recommendations themselves (we’ll be adding genre/tags that match, recommendation_count (if applicable), words that match (if applicable)) for this next cycle.
Check out our pitch for the Anime Recommendation Project’s Second Cycle.