Update README.md

updated readme file

README.md

@@ -4,79 +4,100 @@ emoji: 📰
 colorFrom: blue
 colorTo: indigo
 sdk: gradio
-sdk_version: 5.9.1
+sdk_version: 4.0.0
 app_file: app.py
 pinned: false
+license: mit
 ---
 
-# News Article Summarizer
+# 📰 News Article Summarizer
 
-This is a Gradio app that summarizes news articles using the BART-large-CNN model. Simply input a news article URL, and the app will provide a clean, concise, and accurate summary of the article.
+A powerful and efficient news article summarization tool powered by BART-Large-CNN model. This application automatically extracts and summarizes news articles from URLs, making it easier to quickly grasp the key points of any news article.
 
-## Features
+## 🚀 Features
 
-- URL-based article extraction
-- Automatic text summarization using state-of-the-art transformer model
-- Clean and user-friendly interface
-- Handles long articles by splitting them into chunks
+- **Smart Article Extraction**: Automatically extracts article content from news URLs
+- **Advanced Summarization**: Uses BART-Large-CNN model for high-quality summaries
+- **Chunk Processing**: Handles long articles by processing them in chunks
+- **Clean Output**: Removes unwanted elements like ads and navigation for better results
+- **User-Friendly Interface**: Simple Gradio interface for easy interaction
 
-## How to Use
+## 🛠️ Technology Stack
 
-1. Enter a news article URL in the input box
-2. Click submit
-3. Get your summarized article instantly
+- **Python**: Core programming language
+- **BART-Large-CNN**: State-of-the-art summarization model
+- **Gradio**: Web interface framework
+- **BeautifulSoup4**: HTML parsing and content extraction
+- **PyTorch**: Deep learning framework
+- **Transformers**: Hugging Face transformers library
 
-## Local Development
+## 📋 Requirements
 
-To run this app locally:
-
-1. Install the requirements:
-```bash
-pip install -r requirements.txt
 ```
-
-2. Run the app:
-```bash
-python app.py
+gradio==5.9.1
+transformers
+torch
+beautifulsoup4
+requests
+nltk
 ```
 
-## Deployment
-
-This app is ready to be deployed on Hugging Face Spaces.
+## 🚀 Getting Started
 
+1. **Install Dependencies**:
+   ```bash
+   pip install -r requirements.txt
+   ```
 
+2. **Run the Application**:
+   ```bash
+   python app.py
+   ```
 
-# News Article Summarizer
+3. **Use the App**:
+   - Open the provided URL in your browser
+   - Paste a news article URL
+   - Wait for the summary (processing time depends on article length)
+   - Get your concise summary!
 
-This is a Gradio app that summarizes news articles using the BART-large-CNN model. Simply input a news article URL, and the app will provide a clean, concise, and accurate summary of the article.
+## 💡 How It Works
 
-## Features
+1. **Article Extraction**:
+   - Fetches article content from the provided URL
+   - Removes unwanted elements (ads, navigation, etc.)
+   - Extracts main article text
 
-- URL-based article extraction
-- Automatic text summarization using state-of-the-art transformer model
-- Clean and user-friendly interface
-- Handles long articles by splitting them into chunks
+2. **Text Processing**:
+   - Splits long articles into manageable chunks (1024 tokens each)
+   - Cleans and prepares text for summarization
 
-## How to Use
+3. **Summarization**:
+   - Uses BART-Large-CNN model for each chunk
+   - Combines summaries for a coherent final output
+   - Provides clean, readable summaries
 
-1. Enter a news article URL in the input box
-2. Click submit
-3. Get your summarized article instantly
+## ⚠️ Notes
 
-## Local Development
+- Processing time varies based on article length
+- Look for "Running..." indicator while processing
+- Wait patiently for best results
+- Model can be changed to T5 or GPT-2 for different results
 
-To run this app locally:
+## 🔄 Example Usage
 
-1. Install the requirements:
-```bash
-pip install -r requirements.txt
+```python
+# Example URLs:
+https://www.bbc.com/sport/football/articles/cvgxmzy86e4o
+https://globalsouthworld.com/article/biden-approves-571-million-in-defense-support-for-taiwan
 ```
 
-2. Run the app:
-```bash
-python app.py
-```
+## 🤝 Contributing
+
+Feel free to:
+- Open issues
+- Suggest improvements
+- Submit pull requests
 
-## Deployment
+## 📝 License
 
-This app is ready to be deployed on Hugging Face Spaces.
+This project is open source and available under the MIT License.