Update README.md

README.md

@@ -6,21 +6,20 @@ colorTo: pink
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+# ArtyLLaMA: Empowering AI Creativity in the Open Source Community 🦙🎨
 
-# ArtyLLaMA: Empowering Creativity with Open Source AI 🦙🎨
-
-ArtyLLaMA is an innovative chat interface for Open Source Large Language Models, leveraging the power of LLaMA.cpp. 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, 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.
 
 ## Model Description
 
-ArtyLLaMA is not a model itself, but a framework that allows users to interact with various LLaMA-based models. It provides a user-friendly interface for generating creative content, code, and visualizations using state-of-the-art language models.
+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.
 
 ### Key Features:
 
-- 🧠 **LLaMA Integration**: Seamless support for LLaMa.cpp via the llama-cpp-python package
+- 🦙 **Ollama Integration**: Seamless support for multiple language models via Ollama
 - 🎨 **Dynamic Artifact Generation**: Create and display content artifacts during chat interactions
 - 🖥️ **Real-time HTML Preview**: Instantly visualize HTML artifacts
-- 🔄 **Multi-Model Support**: Choose from multiple language models in the `/models` folder
+- 🔄 **Multi-Model Support**: Choose from multiple language models available through Ollama
 - 📱 **Responsive Design**: Mobile-friendly interface built with Tailwind CSS
 - 🌙 **Dark Mode**: Easy on the eyes with a default dark theme
 - 🚀 **Local Inference**: Run models locally for privacy and customization
@@ -28,7 +27,6 @@ ArtyLLaMA is not a model itself, but a framework that allows users to interact w
 ## Intended Use
 
 ArtyLLaMA is designed for developers, researchers, and creative professionals who want to:
-
 - Explore the capabilities of open-source language models
 - Generate creative content, including code, designs, and written text
 - Prototype AI-assisted applications and workflows
@@ -36,15 +34,14 @@ ArtyLLaMA is designed for developers, researchers, and creative professionals wh
 
 ## Limitations
 
-- Requires local installation and setup
+- Requires local installation and setup of Ollama
 - Performance depends on the user's hardware capabilities
-- Limited to models compatible with LLaMA.cpp
+- Limited to models supported by Ollama
 - Does not include built-in content moderation (users should implement their own safeguards)
 
 ## Ethical Considerations
 
 Users of ArtyLLaMA should be aware of:
-
 - Potential biases present in the underlying language models
 - The need for responsible use and content generation
 - Privacy implications of using AI-generated content
@@ -52,19 +49,18 @@ Users of ArtyLLaMA should be aware of:
 ## Technical Specifications
 
 - **Framework**: Python with Flask backend, HTML/CSS/JavaScript frontend
-- **Required Libraries**: llama-cpp-python, Flask, Tailwind CSS, Alpine.js
-- **Supported Model Formats**: GGUF (compatible with LLaMA.cpp)
-- **Hardware Requirements**: Varies based on the chosen model size (optimized for systems with GPU acceleration)
+- **Required Libraries**: Flask, Tailwind CSS, Alpine.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. Place LLaMA models in the `/models` directory
-5. Configure `app.py` for your hardware
-6. Run the application: `python app.py`
-7. Access the interface at `http://localhost:5000`
+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`
 
 For more detailed instructions and documentation, visit our [GitHub repository](https://github.com/kroonen/ArtyLLaMA).
 
@@ -79,7 +75,7 @@ If you use ArtyLLaMA in your research or projects, please cite it as follows:
 ```bibtex
 @software{artyllama2024,
   author = {Robin Kroonen},
-  title = {ArtyLLaMA: Empowering Creativity with Open Source AI},
+  title = {ArtyLLaMA: Empowering AI Creativity in the Open Source Community},
   year = {2024},
   url = {https://github.com/kroonen/ArtyLLaMA}
 }
@@ -88,8 +84,8 @@ If you use ArtyLLaMA in your research or projects, please cite it as follows:
 ## Contact
 
 For questions, feedback, or collaborations, please reach out to:
-
 - GitHub: [https://github.com/kroonen/ArtyLLaMA](https://github.com/kroonen/ArtyLLaMA)
-- Email: contact@artyllama.com
+- Email: rob@artyllama.com
+- Twitter: [@rob_x_ai](https://x.com/rob_x_ai)
 
 We welcome contributions and feedback from the community!