Veritas - AI News Daily 📰

An intelligent news aggregation system that searches, summarizes, and presents AI-related news in a beautiful blog-style interface.

Features

• 🔍 Smart News Search: Automatically finds the latest AI news from multiple sources
• 📝 AI-Powered Summarization: Creates concise, readable summaries of news articles
• 📰 Blog-Style Interface: Beautiful, responsive web interface with Inter font
• 📅 Historical Reports: Browse news reports from different dates
• 🎨 Modern UI: Clean, professional design with smooth animations

Quick Start

1. Installation

# Clone the repository
git clone <your-repo-url>
cd Veritas

# Install dependencies
pip install -r requirements.txt

2. Environment Setup

Create a .env file with your API keys:

GROQ_API_KEY=your_groq_api_key_here
TAVILY_API_KEY=your_tavily_api_key_here

3. Run the Application

Web Interface (Recommended)

streamlit run streamlit_app.py

Access the application at: http://localhost:8501

Command Line

# Generate a new report
python main.py

# Dry run (safe fallback mode)
python main.py --dry-run

How It Works

1. Search: The system searches for the latest AI news using web search APIs
2. Summarize: Each article is processed and summarized using LLM models
3. Publish: All summaries are compiled into a comprehensive daily report
4. Display: The web interface presents reports in an elegant blog format

Web Interface Features

• 📊 Dashboard: View statistics and generate new reports
• 📅 Date Selection: Browse reports from different dates
• 🔄 One-Click Generation: Generate new reports instantly
• 📱 Responsive Design: Works perfectly on desktop and mobile
• 🎨 Inter Font: Modern, readable typography

Project Structure

Veritas/
├── app/                    # Main application code
│   ├── agents/            # AI agents (search, summarize, publish)
│   ├── workflow.py        # LangGraph workflow definition
│   ├── models.py          # Data models
│   └── prompts.py         # AI prompts
├── streamlit_app.py       # Web interface
├── main.py               # CLI entry point
└── requirements.txt      # Dependencies

Requirements

• Python 3.9+
• Streamlit
• LangChain & LangGraph
• Groq API access
• Tavily API access (for news search)

API Keys

If API keys are not set, the package uses safe fallbacks for local testing.

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Test thoroughly
5. Submit a pull request