uppercasee / recnsum

Flask project that implements a news recommendation system and a text summarization

News Recommendation System and Summary Generator

This is a Flask project that implements a news recommendation system and a text summarization feature using Neural Collaborative Filtering and Transformer Model.

Screenshots

Installation

1. Clone the repository:

   git clone https://github.com/uppercasee/recNsum.git
   cd recNsum

2. Create a virtual environment:

   python3 -m venv venv

3. Activate the virtual environment:

   • On Windows:

     venv\Scripts\activate

   • On macOS and Linux:

     source venv/bin/activate

4. Install dependencies:

   pip install -r requirements.txt

Usage

1. Run the Flask application:

   python app.py

2. Once the server is running, visit http://127.0.0.1:5000/ in your web browser.

3. You will be presented with a form where you can input text for summary generation and provide a user ID for news recommendation.

4. Click on the "Generate Summary" button to generate a summary for the provided text.

5. To receive news recommendations, enter a user ID and click on the "Recommend News" button. This will display news articles with their IDs, titles, and abstracts.

License

This project is licensed under the MIT License.

recnsum's Issues

Keep output acreenshot