Skip to content

jaypat7828/summarization

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

title emoji colorFrom colorTo sdk sdk_version app_file pinned
Text Summarization
😊
pink
blue
gradio
5.20.1
app.py
false

Sync to Hugging Face hub

Text Summarization App

Welcome to the Text Summarization App! This application leverages the power of Hugging Face's BART model to provide high-quality text summarization. The app is built using Gradio, a user-friendly interface for machine learning models.

Features

  • Input Text: Enter the text you want to summarize.
  • Summarize: Click the "🔍 Summarize" button to generate a summary of the input text.
  • Reset: Clear the input and output fields with the "🔄 Reset" button.
  • Provide Feedback: Provide feedback on the generated summary with the "👍 Provide Feedback" button.
  • Load Example: Load a sample text to see how the summarization works.

How to Use

  1. Enter Text: Type or paste the text you want to summarize into the "Input Text" box.
  2. Summarize: Click the "🔍 Summarize" button to generate a summary.
  3. Reset: Click the "🔄 Reset" button to clear the input and output fields.
  4. Feedback: Provide feedback on the summary using the "👍 Provide Feedback" button.
  5. Example: Click the "📄 Load Example" button to load a sample text.

Model

This app uses the BART model from Hugging Face, which is a powerful transformer model for text summarization.

Link to Space

Visit the Hugging Facen App.

Acknowledgements

  • Hugging Face: For providing the BART model and the transformers library.
  • Gradio: For the easy-to-use interface for machine learning models.

License

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

About

hugging face app for Text summarization

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published