Update README.md

README.md

@@ -8,9 +8,9 @@ pinned: false
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 # ArtyLLaMA: Empowering AI Creativity in the Open Source Community 🦙🎨
 
-ArtyLLaMA is an innovative chat interface for Open Source Large Language Models, now leveraging the power of Ollama. It features dynamic content generation and display through an "Artifacts-like" system, making AI-assisted creativity more accessible and interactive.
+ArtyLLaMA is an innovative chat interface for Open Source Large Language Models, leveraging the power of Ollama. It features dynamic content generation and display through an "Artifacts-like" system, making AI-assisted creativity more accessible and interactive.
 
-## Model Description
+## Project Description
 
 ArtyLLaMA is not a model itself, but a framework that allows users to interact with various language models through Ollama. It provides a user-friendly interface for generating creative content, code, and visualizations using state-of-the-art language models.
 
@@ -48,25 +48,25 @@ Users of ArtyLLaMA should be aware of:
 
 ## Technical Specifications
 
-- **Framework**: Python with Flask backend, HTML/CSS/JavaScript frontend
-- **Required Libraries**: Flask, Tailwind CSS, Alpine.js
+- **Framework**: React-based frontend, Node.js backend
+- **Required Libraries**: React, Express.js, Tailwind CSS, Three.js
 - **Supported Model Formats**: Those supported by Ollama
 - **Hardware Requirements**: Varies based on the chosen model size
 
 ## Getting Started
 
-1. Clone the repository: `git clone https://github.com/kroonen/ArtyLLaMA`
-2. Set up a Python environment: `conda create -n ArtyLLaMa python=3.11 && conda activate ArtyLLaMa`
-3. Install dependencies: `pip install -r requirements.txt`
-4. Ensure Ollama is installed and running on your system
-5. Run the application: `python app.py`
-6. Access the interface at `http://localhost:5000`
+1. Clone the repository: `git clone https://github.com/kroonen/ArtyLLaMA.git`
+2. Install dependencies: `npm install`
+3. Ensure Ollama is installed and running on your system
+4. Set up environment variables (see README for details)
+5. Run the application: `npm run dev`
+6. Access the interface at `http://localhost:3000`
 
 For more detailed instructions and documentation, visit our [GitHub repository](https://github.com/kroonen/ArtyLLaMA).
 
 ## License
 
-ArtyLLaMA is distributed under the MIT License. See the [LICENSE](https://github.com/kroonen/ArtyLLaMA/blob/main/LICENSE) file for more information.
+ArtyLLaMA is distributed under the ArtyLLaMa Research Project License. This license allows free use for non-commercial, academic, and research purposes with attribution. Commercial use requires explicit written permission. See the [LICENSE](https://github.com/kroonen/ArtyLLaMA/blob/main/LICENSE) file for full details.
 
 ## Citation
 
@@ -85,7 +85,7 @@ If you use ArtyLLaMA in your research or projects, please cite it as follows:
 
 For questions, feedback, or collaborations, please reach out to:
 - GitHub: [https://github.com/kroonen/ArtyLLaMA](https://github.com/kroonen/ArtyLLaMA)
-- Email: rob@artyllama.com
+- Email: robin@kroonen.ai
 - Twitter: [@rob_x_ai](https://x.com/rob_x_ai)
 
-We welcome contributions and feedback from the community!
+We welcome contributions and feedback from the community, subject to the terms of our license!