RAI

RAI is a web platform that allows users to create AI models and chat with them. It provides a simple interface to experiment with AI and explore conversational models. Think of it as your personal AI studio just like Instagram AI Studio.

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🚀 Features

• Create and manage AI models
• Chat with AI models in real-time
• Create user accounts with username and email
• Lightweight, easy to use, and open-source

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🛠️ Technologies

• Frontend: HTML (Jinja2 templating), Tailwind CSS
• Backend: Python (Quart framework)
• AI: Ollama for AI models

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📦 Installation

1. Clone this repository:

   git clone https://github.com/Rishiraj0100/RAI.git
   cd RAI

2. Create Virtual Environment:

   python3 -m venv .venv

3. Install Dependencies:

   python3 -m pip install -r requirements.txt

4. Install Ollama:

   • Download Ollama from Ollama's official website
   • Pull some models using ollama pull <model>

     ollama pull llama3.2

   • Add the model names to routes/models.py (Line 29)

5. Setup database and run the project

   python3 -m aerich init-db
   python3 run.py

   • Now open http://localhost:8090/x to create admin user.
   • You can change the credentials at run.py (Line 43).

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Now your project is ready for production deployment.

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Production Deployment

Make necessary changes in run.sh (Line 2) and then run:

chmod +x run.sh
bash run.sh

🙏 Acknowledgements & Contribution

• The chat interface UI is inspired by ChatGPT.
• Interested in contributing? Contributions are welcome! Check out CONTRIBUTING.md and follow our CODE_OF_CONDUCT.md.