Summarization & More

This project is a text summarization tool with additional features, utilizing Natural Language Processing (NLP) libraries in Python to perform various text-related tasks. It can extract data from a given URL and process it to provide useful insights. The frontend is built with React to offer a well-designed, dynamic user interface.

Features

• Summarization: Generate concise summaries from larger text inputs.
• Keywords Extraction: Identify and extract key terms from the text.
• Sentiment Analysis: Analyze the sentiment of the text to determine its tone.
• Well-Designed Dynamic UI: Interactive and user-friendly interface built with React.

Project Structure

• app.py: Main backend application file.
• summary_maker.py: Contains the summarization logic.
• frontend/: Contains the React frontend code.
  • public/: Contains static files.
  • src/: Contains the source code for the React application.
    • app.js
    • footer.jsx
    • index.js
    • main.jsx
  • package.json: Contains the list of dependencies and scripts for the frontend.

Installation

Prerequisites

• Python 3.x
• Node.js and npm (for React)
• Git

Backend Setup

1. Clone the Repository:

   git clone https://github.com/yourusername/summarization-and-more.git
   cd summarization-and-more

2. Install Dependencies:

   pip install -r requirements.txt

3. Run the Backend:

   python app.py

Frontend Setup

1. Navigate to the Frontend Directory:

   cd frontend

2. Install Dependencies:

   npm install

3. Run the Frontend:

   npm start

Usage

1. Ensure the backend is running:

   python app.py

2. In a new terminal, navigate to the frontend directory and start the frontend:

   cd frontend
   npm start

3. Open your browser and go to http://localhost:3000 to access the application.

Contributing

Contributions are welcome! Please open an issue or submit a pull request with your changes.

License

This project is licensed under the MIT License. See the LICENSE file for details.