Kabilduke / Text_Summarizer_BART

This project provides a web interface for uploading PDFs or entering text to generate a summarized output using the BiDirectional Auto Regressive Transformer (BART) model. The project is built using Flask for the backend and HTML, CSS, and JavaScript for the frontend

BiDirectional Auto Regressive Transformer Summarizer

This project provides a web interface for uploading PDFs or entering text to generate a summarized output using the BiDirectional Auto Regressive Transformer (BART) model. The project is built using Flask for the backend and HTML, CSS, and JavaScript for the frontend.

Screenshot/Output

Features

• Upload a PDF file to extract text and generate a summary.
• Enter text directly into the text area to generate a summary.
• Real-time typing effect for displaying the summarized text.
• Flashy and interactive UI elements for an engaging user experience.

Requirement

• Python 3.x
• Flask
• PyPDF2
• Transformers
• JavaScript (Fetch API)

Installation

1. Clone the repository

   git clone https://github.com/Kabilduke/Text_Summarizer_BART.git
   cd Text_Summarizer_BART

2. Create a virtual environment and activate it:

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install the required packages:

   pip install flask PyPDF2 transformers

4. Run the Flask app:

   python app.py

Project Structure

Text_summarizer_BART/
│
├── app.py                  # Main Flask application
├── templates/
│   └── index.html          # Main HTML file
├── static/
│   ├── style.css           # CSS styles
├── uploads/                # Directory to store uploaded PDF files
└── README.md               # This README file

Contributing

Contributions are welcome! Please open an issue or submit a pull request for any changes or improvements.