Gradio Mini-Projects

This repository contains all the projects built using Gradio.

Projects Overview

1. Text Summarization

The Text Summarization project allows users to input a block of text and receive a concise summary generated by a pre-trained model from Hugging Face.

2. Named Entity Recognition (NER)

The Named Entity Recognition project allows users to input text and identify entities such as names, dates, and locations within the text using a pre-trained model from Hugging Face.

Getting Started

Prerequisites

• Python 3.6+
• Gradio
• Transformers (Hugging Face)

Usage

Text Summarization

1. Run the Text Summarization app:

   python TextSummarizationApp.py

2. Open your browser and go to http://localhost:7860 to interact with the app.

Named Entity Recognition (NER)

1. Run the Named Entity Recognition app:

   python NamedEntityRecognition.py

2. Open your browser and go to http://localhost:XXXX to interact with the app.

Project Files

Text Summarization

• TextSummarizationApp.py: Main script to run the Gradio app for text summarization.

Named Entity Recognition (NER)

• NamedEntityRecognition.py: Main script to run the Gradio app for named entity recognition.

• requirements.txt: List of dependencies.

Gradio Documentation

• Gradio Documentation
• Getting Started with Gradio

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