Text Summarizer

A Text Summarizer that extracts the most important information from a given text, providing a concise summary using Natural Language Processing (NLP) techniques.

🚀 Features

• Summarizes long text into key points
• Supports extractive summarization
• Simple and efficient implementation
• Can be integrated into applications

🛠️ Technologies Used

• Python
• Natural Language Processing (NLP)
• transformers
• React (for Frontend)
• Flask (for Backend)
• googletrans (for translation)

📌 Installation

1. Clone the repository:

git clone https://github.com/rajarohan/text-summarizer.git
cd text-summarizer

2. Install dependencies:

pip install -r requirements.txt

⚡ Usage

1.Run the app from backend Folder:

python3 app.py

2.Run the react app in frontend:

npm start

📂 Project Structure

text-summarizer/
│── backend/
│     │── app.py
│     │── get-pip.py
│     │── requirements.txt
│── frontend/
│     │── public/
│     │     │── index.html
│     │     │── logo.png
│     │     │── manifest.json
│     │     │── robots.txt
│     │── src/
│     │     │── App.js
│     │     │── App.css
│     │     │
................ and all dependencies

🤝 Contributing

Contributions are welcome! Feel free to open an issue or submit a pull request.