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GitHub / Nneji123 / Media-Recommendation-Engine

A Recommendation Engine API that can be used to recommend movies, music, games, manga, anime, comics, tv shows and books. Deployed using an AWS EC2 instance.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Nneji123%2FMedia-Recommendation-Engine

Stars: 8
Forks: 3
Open Issues: 7

License: mit
Language: Python
Repo Size: 116 MB
Dependencies: 20

Created: almost 2 years ago
Updated: over 1 year ago
Last pushed: over 1 year ago
Last synced: over 1 year ago

Topics: api, application, docker, docker-compose, fastapi, frontend, machine-learning, mlops, mlops-workflow, pandas, python, recommendation-engine, streamlit

Funding links: https://github.com/sponsors/Nneji123

Files

Readme

Dependencies

backend/requirements.txt pypi

Pillow ==9.2.0
fastapi ==0.79.0
fastparquet *
gunicorn *
httptools *
locust *
numpy ==1.23.1
pandas ==1.4.3
pyarrow *
pydantic ==1.9.1
python-decouple *
requests ==2.28.1
scikit_learn ==1.1.1
spotipy ==2.20.0
streamlit *
uvicorn *

.github/workflows/greetings.yml actions

actions/first-interaction v1 composite

.github/workflows/label.yml actions

actions/labeler v4 composite

Dockerfile docker

python 3.8-slim-buster build

backend/Dockerfile docker

python 3.8-slim-buster build