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content-filtering's Introduction

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 :)

content-filtering's People

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content-filtering's Issues

FrontEnd

To-do:

  • API fetch from Tmdb and Algolia
  • Flask and Templates

Recommendation in Flask

Recommendation of Movies without needing to input Movie Name

Request get method [movie.html page]

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