A Streamlit application that analyzes news articles using Groq's Llama 3 model and FAISS vector search.

• Process up to 3 news article URLs simultaneously
• Extract and chunk text content
• Generate embeddings using HuggingFace models
• Query articles with natural language questions
• Source attribution for answers

• Python 3.8+
• Groq API key (get it from Groq Cloud)

1. Clone this repository

2. Install dependencies:

   pip install -r requirements.txt
   

3. Create a .env file or set environment variable: text

   GROQ_API_KEY=your_api_key_here

1. Run the application:

   streamlit run app.py
   

2. In the sidebar:

   Enter 1-3 news article URLs

   Click "Process URLs"

3. Wait for processing to complete (embeddings generation may take 1-2 minutes)

4. Ask questions in the main input field