OpenChatAI

An open-source AI web chat application built with React, Node.js, and Llama 2.

Description

OpenChatAI is a modern web application that provides an intuitive chat interface powered by open-source AI technology. It features real-time message streaming, user authentication, chat history management, and file sharing capabilities.

Features

• Real-time AI chat interface
• Message streaming
• User authentication
• Chat history management
• File attachments support
• Responsive design
• Share chat sessions

Tech Stack

• Frontend: React with TypeScript
• Backend: Node.js with Express
• Database: MongoDB
• AI Model: Llama 2
• Styling: Tailwind CSS

Setup Instructions

Traditional Setup (Development)

1. Clone the repository:

   git clone https://github.com/yourusername/OpenChatAI.git
   cd OpenChatAI

2. Install frontend dependencies:

   cd frontend
   npm install

3. Install backend dependencies:

   cd ../backend
   npm install

4. Start the development servers:

   • Frontend: npm start (in the frontend directory)
   • Backend: npm start (in the backend directory)

Docker Deployment (Production)

The application can be deployed as a single Docker container that serves both the frontend and backend:

1. Build and run using Docker Compose:

   docker-compose up -d

2. Or build and run manually:

   # Build the Docker image
   docker build -t openchatai .
   
   # Run the container
   docker run -p 5000:5000 -d openchatai

3. Access the application at http://localhost:5000

Environment Variables

For production deployment, you should set the following environment variables:

• JWT_SECRET: Secret key for JWT token generation
• GEMINI_API_KEY: Your Google Gemini API key
• Other database connection variables as needed

You can set these in the docker-compose.yml file or pass them directly to the docker run command.

Contributing

1. Fork the repository
2. Create your feature branch: git checkout -b feature/YourFeature
3. Commit your changes: git commit -m 'Add some feature'
4. Push to the branch: git push origin feature/YourFeature
5. Submit a pull request

License

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