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metadata
title: News Article Summarizer
emoji: 📰
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: 5.9.1
app_file: app.py
pinned: false
license: mit

📰 News Article Summarizer

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

  • 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

🛠️ Technology Stack

  • 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

📋 Requirements 

gradio==5.9.1
transformers
torch
beautifulsoup4
requests
nltk

🚀 Getting Started

  1. Install Dependencies:

    pip install -r requirements.txt

  2. Run the Application:

    python app.py

  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!

💡 How It Works

  1. Article Extraction:

    • Fetches article content from the provided URL
    • Removes unwanted elements (ads, navigation, etc.)
    • Extracts main article text

  2. Text Processing:

    • Splits long articles into manageable chunks (1024 tokens each)
    • Cleans and prepares text for summarization

  3. Summarization:

    • Uses BART-Large-CNN model for each chunk
    • Combines summaries for a coherent final output
    • Provides clean, readable summaries

⚠️ Notes

  • 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

🔄 Example Usage 

# Example URLs:
https://www.bbc.com/sport/football/articles/cvgxmzy86e4o
https://globalsouthworld.com/article/biden-approves-571-million-in-defense-support-for-taiwan

🤝 Contributing

Feel free to:

  • Open issues
  • Suggest improvements
  • Submit pull requests

📝 License

This project is open source and available under the MIT License.