WebAgent is an AI-driven full-stack application that generates responsive websites from simple text prompts or uploaded design mockups. Built with a FastAPI backend and a React frontend, it uses advanced AI models to translate user intent or layout into real-time HTML/CSS/JS websites.

Now powered by NVIDIA's DeepSeek R1 and Qwen 2.5 for smarter layout understanding and more accurate code generation.

🔗 GitHub: https://github.com/ragultv/WebAgent
⭐ If you find this project useful, give it a star to support ongoing improvements!

• Text-to-Website: Generate complete websites from simple natural language prompts.
• Image-to-Website: Upload UI mockups to generate frontend code automatically.
• Live Code Preview: Edit and preview the website in real time using an in-browser code editor.
• Fullscreen Design View: View uploaded designs in fullscreen before generating the layout.
• User Authentication: Secure login and registration with JWT-based access and refresh tokens.

Frontend: React, Vite, Tailwind CSS
Backend: FastAPI, Python, SQLAlchemy, Pillow
Database: SQLite (dev), PostgreSQL (prod-ready)
AI Models:

• DeepSeek R1 from NVIDIA code generation
• Qwen 2.5 for design layout handling

/backend ├── core ├── db ├── routes ├── schemas └── services /frontend └── src ├── components ├── pages └── services 

cd backend python -m venv venv # Activate environment # Windows: . env\Scripts ctivate # macOS/Linux: source venv/bin/activate pip install -r requirements.txt uvicorn main:app --reload --host 0.0.0.0 --port 8000

cd frontend npm install npm run dev

If you like this project or find it useful, please consider starring the repository:
👉 https://github.com/ragultv/WebAgent

For feedback, suggestions, or issues, feel free to create an issue or connect with me via GitHub.