This application provides an AI-powered assistant that integrates Python code execution and dynamic React component rendering, targeting developers and data scientists. It offers a comprehensive environment for data analysis, visualization, and interactive web development, powered by Claude 3.5 Sonnet.

How It Works

The assistant leverages LangGraph to orchestrate AI decision-making, allowing it to adaptively switch between Python code execution (within a secure Jupyter environment), dynamic React component generation, and file operations. This workflow is managed through an intuitive Streamlit interface, enabling real-time visualization of the AI's decision process via Mermaid diagrams.

Quick Start & Requirements

• Install Python dependencies: pip install -r requirements.txt within an activated virtual environment (python -m venv venv, source venv/bin/activate or .\venv\Scripts\activate).
• Install Node.js packages and build: npm install, then npm run build.
• Start the application: streamlit run main.py.
• Requires API keys configured in a .env file.
• Supports multimodal input (vision capability) as of July 3, 2024.

Highlighted Details

• Powered by Anthropic's Claude 3.5 Sonnet.
• Secure Python code execution via Jupyter notebooks.
• On-demand React component generation and rendering.
• Integrated file upload/download and management.
• Data visualization using matplotlib.
• LangGraph-based workflow orchestration with real-time Mermaid diagram visualization.
• Supports installation of additional Python packages.
• Web resource access for API requests.

Maintenance & Community

No specific contributors, sponsorships, or community links (Discord/Slack) are mentioned in the README.

Licensing & Compatibility

The README does not specify a license. Compatibility for commercial use or closed-source linking is not detailed.

Limitations & Caveats

The application requires careful review of executed code, especially in production environments. The README does not mention specific limitations regarding supported platforms, performance benchmarks, or known bugs.