https://github.com/kaludii/quick-summarizer

This is a Text Summarization Model that has been trained by Kaludi to transform long and complex texts into concise and meaningful summaries.
https://github.com/kaludii/quick-summarizer

ai generated gradio model quick summaries summarization

Last synced: 11 months ago
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This is a Text Summarization Model that has been trained by Kaludi to transform long and complex texts into concise and meaningful summaries.

• Host: GitHub
• URL: https://github.com/kaludii/quick-summarizer
• Owner: Kaludii
• Created: 2023-02-13T20:36:17.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2023-02-13T21:53:39.000Z (over 3 years ago)
• Last Synced: 2025-03-12T14:49:56.126Z (about 1 year ago)
• Topics: ai, generated, gradio, model, quick, summaries, summarization
• Language: Python
• Homepage: https://huggingface.co/spaces/Kaludi/Quick-Summarizer_App
• Size: 114 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          

# Quick Summarizer App

This is a Text Summarization Model that has been trained by Kaludi to transform long and complex texts into concise and meaningful summaries. Get a quick and accurate overview of any document in seconds, saving you time and effort.

# Web App

Click [Here](https://huggingface.co/spaces/Kaludi/Quick-Summarizer_App) To View This App Online!

![Image](https://github.com/Kaludii/Quick-Summarizer/blob/main/images/QuickSum.png?raw=true)

## Model

The Quick Summarizer App was trained using the Quick Summarization model by Kaludi, which can be found on HuggingFace at: [https://huggingface.co/Kaludi/Quick-Summarization](https://huggingface.co/Kaludi/Quick-Summarization)

## Dataset

The training data for the Quick Summarizer App was obtained from the Quick Summarization dataset on HuggingFace, which can be found at: [https://huggingface.co/datasets/Kaludi/data-quick-summarization](https://huggingface.co/datasets/Kaludi/data-quick-summarization)

## Usage

The Quick Summarizer App is built using the Gradio library and can be used by inputting a text document into the app. The app will then provide a concise summary of the text document in seconds.

## Libraries Used

-   Gradio

-   Transformers

## Contributor

-   [Kaludi](https://github.com/Kaludii)