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metadata
title: Text Summarizer
emoji: 🏢
colorFrom: gray
colorTo: gray
sdk: gradio
sdk_version: 5.5.0
app_file: app.py
pinned: false
license: apache-2.0

Text Summarization App

This is a simple app that uses the facebook/bart-large-cnn model from Hugging Face to summarize long-form text. The app takes an article, paper, or book, and summarizes it into key points or a concise paragraph.

Features

  • Summarizes long text into a short, readable summary.
  • Works on various kinds of text (articles, papers, books).
  • Uses Hugging Face's BART model for high-quality summaries.
  • Provides a simple and user-friendly interface built with Gradio.

How It Works

  1. The user inputs a long-form text (article, paper, or book) in the provided input box.
  2. The app processes the input using the facebook/bart-large-cnn model.
  3. A summarized version of the text is displayed as output.

Technologies Used

  • Gradio: For the user interface.
  • Hugging Face Transformers: For using the pre-trained BART model for summarization.
  • PyTorch: Deep learning framework used for running the BART model.

Example

Input: "Long article text here..."

Output: "Concise summary of the article here..."

License

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

Check out the configuration reference at https://huggingface.co./docs/hub/spaces-config-reference