Keyword Extractor

The Keyword Extractor leverages Hugging Face’s facebook/bart-large-mnli model to extract relevant keywords or categories from user-provided text. Built with a ReactJS (Vite) frontend and a Flask backend, this tool provides real-time results in an interactive interface.

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Features

• AI-Powered Keyword Extraction: Utilizes state-of-the-art zero-shot classification for extracting key terms.
• Interactive Interface: Built with ReactJS for a smooth user experience.
• Real-Time Results: Processes and displays keywords instantly.
• Predefined Categories: Classifies text into predefined labels such as technology, healthcare, education, and more.

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Tech Stack

Frontend

• ReactJS with Vite for responsive and fast UI.
• Axios for API communication.

Backend

• Flask for handling API requests and processing text.
• Hugging Face’s facebook/bart-large-mnli for zero-shot classification.

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Installation and Setup

1. Clone the Repository

git clone [email protected]:allanninal/keyword-extractor.git
cd keyword-extractor

2. Backend Setup

1. Create and activate a virtual environment:

   python3.12 -m venv venv
   source venv/bin/activate  # Linux/Mac
   venv\Scripts\activate     # Windows

2. Install dependencies using requirements.txt from the backend folder:

   pip install -r backend/requirements.txt

3. Run the Flask backend:

   python backend/app.py

3. Frontend Setup

1. Navigate to the frontend directory:

   cd frontend

2. Install dependencies:

   npm install

3. Start the React development server:

   npm run dev

Visit the app at http://localhost:5173.

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How It Works

1. Input Text: Enter the text into the input box on the frontend.
2. Backend Processing: Flask processes the input text using Hugging Face’s facebook/bart-large-mnli.
3. Display Results: Extracted keywords are displayed in real time on the frontend.

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Future Enhancements

1. Custom Categories: Allow users to define their own keyword categories.
2. Keyword Limits: Provide options to limit the number of extracted keywords.
3. Multi-Language Support: Add support for non-English text using multilingual models.
4. Export Results: Enable downloading of extracted keywords in CSV or JSON formats.

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License

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

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Support

If you find this project helpful, consider supporting me on Ko-fi:
ko-fi.com/allanninal

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Explore More Projects

For more exciting projects, check out my list of AI Mini Projects:
Mini AI Projects GitHub List