Ancora

Ancora is a focused news discovery and analysis tool designed to extract the "crux" of articles from major Indian news sources. It identifies the central, load-bearing claim of a piece rather than providing a simple summary.

Features

• Multi-Source Discovery: Supports RSS (The Hindu) and HTML scraping (Scroll.in).
• Clean Extraction: Leverages trafilatura for high-quality body text extraction.
• Crux Identification: Uses Google's Gemini API (gemini-3-flash-preview) to isolate the core argument of an article in 2-3 sentences.
• Modular Architecture: Separate modules for discovery and extraction logic.

Getting Started

Prerequisites

• Python 3.10+
• Google Gemini API Key

Installation

1. Clone the repository:

   git clone https://github.com/harshafaik/ancora.git
   cd ancora

2. Create and activate a virtual environment:

   python3 -m venv venv
   source venv/bin/activate

3. Install dependencies:

   pip install -r requirements.txt

4. Configure environment: Create a .env file in the root directory:

   GOOGLE_API_KEY=your_gemini_api_key_here
   

Usage

Run the main script to discover and analyze the latest articles:

python main.py

Project Documentation

Detailed project state and decisions can be found in docs/CONTEXT.md.