/Content-Filtering

Movie Recommendation using Content Filtering (Cosine Similarity) with Flask web application

Primary LanguageJupyter NotebookMIT LicenseMIT

Movie Recommendation

Demo GIF

Dependencies

To install the required Python packages you can use the following command:

pip install -r requirements.txt

  • Run model.ipynb & dataset.ipynb

  • Edit api.py

    • Create an account at Algolia
    • Create your index and upload records of movies_dataset.csv
    • Create an account at TMDb
    • Get your API and edit on api.py

    # TMDB API Key Auth
TMDB_API_KEY = '_______________' 

# Algolia API Search

ALGOLIA_APP_ID = '____________'
ALGOLIA_API_KEY = '______________________'
ALGOLIA_INDEX_NAME = '_______________________'

    Note:
    Run py api.py with Test Cases 1 & 2 to check request

  • Run app.py To run the app.py, load the dependecies requirements, edit api.py and use the following command:

    py app.py

✨ Enjoy the demo

Feel free to send issues if you face any problem.
✨ Don't forget to star the repo :)