| | --- |
| | title: Movie Recommender |
| | emoji: 🎬 |
| | colorFrom: blue |
| | colorTo: indigo |
| | sdk: gradio |
| | sdk_version: "4.16.0" |
| | app_file: app.py |
| | pinned: false |
| | --- |
| | |
| | # Movie Recommender |
| |
|
| | A simple web app to recommend movies based on your text description, using embeddings and cosine similarity. |
| |
|
| | ## How it works |
| |
|
| | - The app uses [SentenceTransformers](https://www.sbert.net/) to encode your text and the movie descriptions into embeddings. |
| | - Then it calculates the cosine similarity between your input and all movies in the dataset. |
| | - It shows the top 5 most similar movies. |
| |
|
| | ## How to run |
| |
|
| | 1. Install dependencies: |
| | ```bash |
| | pip install -r requirements.txt |
| | ``` |
| |
|
| | 2. Run the app: |
| | ```bash |
| | python app.py |
| | ``` |
| |
|
| | Or just run it here on Spaces! |
| |
|
