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title: TextSummary | |
emoji: π | |
colorFrom: green | |
colorTo: blue | |
sdk: gradio | |
sdk_version: 5.17.1 | |
app_file: app.py | |
pinned: false | |
license: apache-2.0 | |
# Article Summarization App | |
This is a simple web application built with Gradio and Hugging Face's Transformers library that allows users to summarize articles using the `facebook/bart-large-cnn` model. The app provides an easy-to-use interface where users can input an article and get a concise summary in return. | |
## How It Works | |
The app uses the `facebook/bart-large-cnn` model from Hugging Face's Transformers library to generate summaries. Users can input an article, and the app will automatically generate a summary with a predefined minimum and maximum length. | |
## Features | |
- **Input Article**: Users can paste or type an article into the text box. | |
- **Real-Time Summarization**: The app generates the summary in real-time as soon as the user inputs the article. | |
- **Example Provided**: An example article is provided to demonstrate how the app works. | |
## How to Use | |
1. **Enter an Article**: Paste or type the article you want to summarize into the text box labeled "Enter an article to summarize." | |
2. **Get the Summary**: The app will automatically generate a summary based on your input and display it in the output text box. | |
## Example | |
An example article is provided in the app to help you get started. Simply click on the example, and the app will automatically fill in the article and generate a summary. | |
## Contact | |
If you have any questions or suggestions, feel free to reach out to me on <a href="https://www.linkedin.com/in/mohammad-alkhatim-9b1770266/" target="_blank"><img src="https://content.linkedin.com/content/dam/me/business/en-us/amp/brand-site/v2/bg/LI-Bug.svg.original.svg" alt="LinkedIn Logo" width="20" height="20"></a> [LinkedIn](https://www.linkedin.com/in/mohammad-alkhatim-9b1770266/). |