Screen.Recording.2025-06-25.095937.mp4

🧠 Website & PDF Summarizer App

A powerful and simple Streamlit application to summarize content from websites or PDF documents, and ask questions based on the summarized content using Groq's LLaMA3-8B model via LangChain.

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🔧 Features

• 🌐 Summarize Website URLs
• 📄 Upload and summarize PDF files
• ❓ Ask questions based on the summarized content
• ⚡ Powered by Groq LLaMA3-8B (via LangChain)

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File Structure

├── app.py                   # Main Streamlit interface
├── summarizer.py            # Summarization and QA logic
├── requirements.txt         # List of required packages
└── .streamlit/
    └── secrets.toml         # Contains Groq API key

How It Works

• For websites, content is extracted using WebBaseLoader.
• For PDFs, content is extracted using UnstructuredPDFLoader.
• Text is truncated to 12,000 characters to fit the model's input limit.
• LangChain prompt templates are used to generate:
  • 📄 A concise summary
  • ❓ Context-based answers to user questions

📦 Installation

1. Clone the Repository

git clone https://github.com/your-username/your-repo-name.git
cd your-repo-name
pip install -r requirements.txt

Set Up Secrets

Create a file: .streamlit/secrets.toml and add your Groq API key:

groq_api_key = "your_groq_api_key_here"

Run the App

streamlit run app.py