oliviercaron / GliNER_streamlit

Gliner streamlit

GliNER Streamlit Application

Welcome to the GliNER Streamlit application repository! This project is designed to offer a user-friendly interface for Named Entity Recognition (NER) tasks using the GliNER model.

You can find the GLiNER repository here: https://github.com/urchade/GLiNER

and the paper: https://arxiv.org/abs/2311.08526

Getting Started

How to run the app on your local machine.

Cloning the Repository

To clone the repository and navigate into it, run the following commands in your terminal:

git clone https://github.com/oliviercaron/GliNER_streamlit/
cd GliNER_streamlit

Installing Dependencies

Install the project dependencies by running:

pip install -r requirements.txt

Running the Application

With the dependencies installed, you can run the Streamlit application locally:

streamlit run app.py

Your default web browser should automatically open to the Streamlit application's URL, typically http://localhost:8501. If it doesn't, you can manually navigate to the URL displayed in your terminal.

How It Works

The GliNER Streamlit application allows users to perform NER tasks in a few simple steps:

1. Upload Your Data: You can upload text files (CSV or Excel)
2. Select Your Options: You can choose the column to analyze, filter it, and specify labels for entity recognition.
3. View Results: The application processes the text and displays the identified entities, which users can then review and download.

License

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