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This project leverages Hugging Face's transformers to deliver accurate and efficient entity recognition directly through a user-friendly web interface.

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AY-Anish-Yadav/NER_flask_app_using_Huggingface

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Named Entity Recognition Web Application

License: Apache 2.0

Overview

This project is a simple web application that performs Named Entity Recognition (NER) on input text using a pre-trained model from Hugging Face. The application is built using Flask for the backend and HTML/CSS for the frontend.

Features

  • Input text through a web interface
  • Extract named entities using a pre-trained NER model
  • Display the extracted entities on the web page

Project-Flow

Technologies Used

  • Python
  • Flask
  • Hugging Face Transformers
  • HTML/CSS

Setup and Installation

Prerequisites

  • Python 3.9+
  • pip

Installing Dependencies

  1. Clone the repository:
git clone https://github.com/yourusername/ner_flask_app.git
cd ner_flask_app
   python app.py

Contributing

Contributions are welcome! If you would like to contribute to the project.

License

This project is licensed under the Apache 2.0 License - see the LICENSE file for details.

Contact

For any inquiries or feedback, feel free to contact:

Anish Yadav - reach.anish.yadav@gmail.com

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This project leverages Hugging Face's transformers to deliver accurate and efficient entity recognition directly through a user-friendly web interface.

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