ExaOp Search 🔍

A powerful AI-powered search application that combines neural search using Exa API with intelligent analysis using OpenAI GPT.

Features ✨

• Neural Search: Advanced semantic search powered by Exa API
• AI Analysis: Intelligent content analysis using OpenAI GPT
• Modern UI: Clean, responsive chat interface with dark theme
• Twitter/X Integration:
  • Seamless Twitter content integration
  • Display of Twitter photos and media
  • Special handling of Twitter URLs and content
• Smart Summaries:
  • Precise, direct answers
  • Relevant supporting context
  • Source-based analysis
• Media Support:
  • Image display for articles and tweets
  • Support for multiple image formats
  • Responsive image grid layout

Tech Stack 🛠️

• Frontend: Streamlit
• Search Engine: Exa API
• AI Analysis: OpenAI GPT
• Language: Python 3.8+

Installation 📦

1. Clone the repository:

git clone <repository-url>
cd exaop

2. Create and activate a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

pip install -r requirements.txt

4. Set up environment variables in .env:

EXA_API_KEY=your_exa_api_key
OPENAI_API_KEY=your_openai_api_key
MODEL_NAME=gpt-3.5-turbo
TEMPERATURE=0.7
MAX_RESULTS=20

Usage 🚀

1. Start the application:

streamlit run app.py

2. Open your browser and navigate to:

http://localhost:8501

3. Enter your search query in the chat interface

Project Structure 📁

exaop/
├── app.py              # Main Streamlit application
├── exaop.py           # Core search functionality
├── config.py          # Configuration settings
├── requirements.txt   # Project dependencies
├── .env              # Environment variables
└── README.md         # Documentation

Features in Detail 🔎

Search Capabilities

• Neural search for relevant content
• Twitter/X content integration
• Real-time content crawling
• Multi-source result aggregation

AI Analysis

• Individual source analysis
• Comprehensive summary generation
• Key point extraction
• Relevance scoring

User Interface

• Modern dark theme
• Chat-like interaction
• Responsive design
• Image grid display
• Twitter content formatting

Content Display

• Direct, precise answers
• Source attribution
• Image support
• Twitter media integration
• Expandable highlights

Contributing 🤝

1. Fork the repository
2. Create your feature branch
3. Commit your changes
4. Push to the branch
5. Create a Pull Request

Acknowledgments 🙏

• Exa API for neural search capabilities
• OpenAI for GPT integration
• Streamlit for the web framework