README.md

---
title: Bangla Banglish and English Bio-Medical Entity Recognition
emoji: 🔍🏷️
colorFrom: blue
colorTo: yellow
sdk: gradio
sdk_version: 4.41.0
app_file: app.py
pinned: false
license: afl-3.0
---

# Named Entity Recognition (NER) App

This application provides a simple interface to perform Named Entity Recognition (NER) on text using a pre-trained model from Hugging Face's Transformers library. The model used under the hood is `dslim/bert-base-NER`, which is designed to identify entities such as names, locations, organizations, and more in a given text.

## Features

- **Named Entity Recognition**: Automatically identify and highlight entities within a given text.
- **User-Friendly Interface**: Built using Gradio for an easy-to-use web interface.

## Model

- **Model Used**: [dslim/bert-base-NER](https://huggingface.co/dslim/bert-base-NER)
- **Framework**: Hugging Face Transformers

## Software Packages

- **Gradio**: Used to create the web interface.
- **Transformers**: Used for model inference.
- **Spaces**: Utilized for GPU acceleration during model execution.

## How to Use

1. Enter the text you want to analyze in the "Text to find entities" textbox.
2. Click "Submit" to perform Named Entity Recognition.
3. The identified entities will be highlighted in the output box.