📚 Multi-Source Summarizer

Summarize long content from text, news articles, or PDF documents in seconds using powerful NLP models.

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✨ Features

• 📝 Paste Text: Input long text and get a short, clean summary.
• 📰 News Article URL: Paste a link to extract and summarize the article.
• 📄 Upload PDF: Upload a PDF and get a summary of its content (supports long PDFs by chunking).
• ⚙️ Hugging Face Transformers: Uses facebook/bart-large-cnn or sshleifer/distilbart-cnn-12-6 for state-of-the-art summarization.
• ✅ Streamlit UI: Clean, fast, and interactive frontend.

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🛠️ Installation

1. Clone the repo

   git clone https://github.com/jobinL/multi-source-summarizer.git
   cd multi-source-summarizer

2. Create a virtual environment and install dependencies python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate pip install -r requirements.txt

3. Run the app streamlit run app.py