🚀 GenWebAI - Next-Gen Web Content Generator

🌟 Features

• 🤖 AI-Powered Content Generation
• 🎯 High-Performance Processing
• 🔒 Secure & Scalable Architecture
• 📊 Advanced Analytics & Logging
• 🐳 Docker Containerization
• 🧪 Comprehensive Test Suite

🛠️ Tech Stack

• Python 3.11
• FastAPI
• Docker & Docker Compose
• Pytest
• Modern Python Libraries

🚀 Quick Start### Local Development

# Clone the repository
git clone https://github.com/Maksn610/GenWebAI.git
cd GenWebAI

# Create virtual environment
python -m venv .venv
source .venv/bin/activate  # Linux/Mac
.venv\Scripts\activate     # Windows

# Install dependencies
pip install -r requirements.txt

# Copy and configure environment variables
cp .env.example .env  # For Windows use: copy .env.example .env
# Then open the .env file and paste your OpenAI API key

# Generate a website
python generate.py --topic "AI in Healthcare" --style technical

Docker Deployment

To build and run the application using Docker:

# Clone the repository
git clone https://github.com/Maksn610/GenWebAI.git
cd GenWebAI

# Create a .env file with your OpenAI API key
cp .env.example .env
# Then edit .env and set your key:
# OPENAI_API_KEY=your_openai_key_here

# Build and run with Docker Compose
docker-compose up --build

📁 Project Structure

GenWebAI/
├── app/                # Main application code
├── tests/             # Test suite
├── .venv/             # Virtual environment
├── Dockerfile         # Docker configuration
├── docker-compose.yml # Docker Compose setup
├── requirements.txt   # Python dependencies
└── README.md         # Project documentation

🧪 Testing

# Run tests
pytest

# Run with coverage (90%+ code coverage)
pytest --cov=app tests/

🔄 CI/CD

This project uses GitHub Actions for continuous integration and deployment. On each push to the main branch:

• The code is built and tested.
• A Docker image is built and pushed to GitHub Container Registry (GHCR) using the latest Dockerfile.
• Secrets for authentication are securely managed using GitHub Actions Secrets (e.g., GHCR_TOKEN).

You can find the workflow in .github/workflows/docker-publish.yml.

🤝 Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

📫 Contact

Maksym - @Maksn610

Project Link: https://github.com/Maksn610/GenWebAI

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

⭐️ Star this project if you find it useful!