metadata

title: Kubrick
app_file: app.py
sdk: gradio
sdk_version: 5.8.0

Kubrick: Movie Recommender System

Kubrick is a thing I made that uses cosine similarity on the overviews of several movies and recommends based on that similarity score. The output consists of the titles, posters and overviews of 5 recommendations.

Steps to run:

Install dependencies:
```
pip install -r requirements.txt
```
Set up environment variables: Create a .env file in the project root and add your OMDB API key:
```
OMDB_API_KEY=<your_omdb_api_key>
```
Run the application:
```
python app.py
```

Requirements:

If you want to make a model file with a higher/lower threshold, first download the movies dataset, move it to this project's directory, delete the pkl and npz lines, and then run app.py.