Chromapages AI Assistant

A containerized AI chatbot built with LangChain and Google's Gemini AI model, designed to provide information about Chromapages' web design and development services.

Features

• RAG (Retrieval Augmented Generation) implementation
• Real-time chat interface
• Knowledge base integration
• Containerized deployment
• GitHub Actions automation

Tech Stack

• Python 3.12
• Flask
• LangChain
• Google Gemini AI
• Docker
• GitHub Actions

Container Usage

You can pull and run the container directly from GitHub Container Registry:

docker pull ghcr.io/[your-username]/chromapages-assistant:latest
docker run -p 8080:8080 -e GOOGLE_API_KEY=your_api_key ghcr.io/[your-username]/chromapages-assistant:latest

Or build it locally:

docker build -t chromapages-assistant .
docker run -p 8080:8080 -e GOOGLE_API_KEY=your_api_key chromapages-assistant

Environment Variables

• GOOGLE_API_KEY: Your Google AI API key
• PORT: Port to run the server on (default: 8080)

Development Setup

1. Clone the repository:

git clone https://github.com/[your-username]/chromapages-assistant.git
cd chromapages-assistant

2. Create 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:

cp .env.example .env
# Edit .env with your API key

5. Run the application:

python app.py

Deployment

The application is automatically built and deployed to GitHub Container Registry on push to the main branch. You can find the latest container image at:

ghcr.io/[your-username]/chromapages-assistant:latest

License

MIT License