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MRS

This is a movie recommendation system built using Python, Streamlit, Pandas, and the TMDb (The Movie Database) API. Prerequisites

Python 3.x
Streamlit
Pandas
Requests

Installation

Clone the repository or download the source code. Install the required dependencies using pip:

   pip install streamlit pandas requests

Run the Streamlit app:

       streamlit run app.py

Select a movie from the dropdown list. Click the "Recommend" button to get a list of recommended movies along with their posters.

Files

app.py: The main Python script containing the Streamlit app and the movie recommendation logic.
movie_dict.pkl: Pickled file containing movie data.
similarity.pkl: Pickled file containing similarity data.

Acknowledgements

The Movie Database (TMDb) API: https://www.themoviedb.org/documentation/api

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