Update README.md

README.md

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 pinned: false
 license: apache-2.0
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+# Article Summarization App
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+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/).