Update README.md

README.md

@@ -10,7 +10,10 @@ short_description: Deployment of the skapadia3214/groq-moa repo
 ---
 
 # Repo deployment
-skapadia3214/groq-moa
+[skapadia3214/groq-moa](https://github.com/skapadia3214/groq-moa.git)
+
+All of the following information comes directly from this repo.
+Only the available models have been modified to incorporate the latest Llama3.1 models.
 
 # Mixture-of-Agents Demo Powered by Groq
 
@@ -19,84 +22,6 @@ This Streamlit application showcases the Mixture of Agents (MOA) architecture pr
 ![MOA Architecture](./static/moa_groq.svg)
 *Source: Adaptation of [Together AI Blog - Mixture of Agents](https://www.together.ai/blog/together-moa)*
 
-## Features
-
-- Interactive chat interface powered by MOA
-- Configurable main model and layer agents
-- Real-time streaming of responses
-- Visualization of intermediate layer outputs
-- Customizable agent parameters through the UI
-
-## Installation
-
-1. Clone the repository:
-   ```
-   git clone https://github.com/skapadia3214/groq-moa.git
-   cd groq-moa
-   ```
-
-2. Install the required dependencies:
-   ```
-   pip install -r requirements.txt
-   ```
-
-3. Set up your environment variables:
-   Create a `.env` file in the root directory and add your Groq API key:
-   ```
-   GROQ_API_KEY=your_api_key_here
-   ```
-
-## Usage
-
-1. Run the Streamlit app:
-   ```
-   streamlit run app.py
-   ```
-
-2. Open your web browser and navigate to the URL provided by Streamlit (usually `http://localhost:8501`).
-
-3. Use the sidebar to configure the MOA settings:
-   - Select the main model
-   - Set the number of cycles
-   - Customize the layer agent configuration
-
-4. Start chatting with the MOA system using the input box at the bottom of the page.
-
-## Project Structure
-
-- `app.py`: Main Streamlit application file
-- `moa/`: Package containing the MOA implementation
-  - `__init__.py`: Package initializer
-  - `moa.py`: Core MOA agent implementation
-  - `prompts.py`: System prompts for the agents
-- `main.py`: CLI version of the MOA chat interface
-- `requirements.txt`: List of Python dependencies
-- `static/`: Directory for static assets (images, etc.)
-
-## Configuration
-
-The MOA system can be configured through the Streamlit UI or by modifying the default configuration in `app.py`. The main configurable parameters are:
-
-- Main model: The primary language model used for generating final responses
-- Number of cycles: How many times the layer agents are invoked before the main agent
-- Layer agent configuration: A JSON object defining the system prompts, model names, and other parameters for each layer agent
-
-## Contributing
-
-Contributions to this project are welcome! Please follow these steps to contribute:
-
-1. Fork the repository
-2. Create a new branch for your feature or bug fix
-3. Make your changes and commit them with descriptive commit messages
-4. Push your changes to your fork
-5. Submit a pull request to the main repository
-
-Please ensure that your code adheres to the project's coding standards and includes appropriate tests and documentation.
-
-## License
-
-This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.
-
 ## Acknowledgements
 
 - [Groq](https://groq.com/) for providing the underlying language models
@@ -116,8 +41,4 @@ This project implements the Mixture-of-Agents architecture proposed in the follo
 }
 ```
 
-For more information about the Mixture-of-Agents concept, please refer to the [original research paper](https://arxiv.org/abs/2406.04692) and the [Together AI blog post](https://www.together.ai/blog/together-moa).
-
-## Contact
-
-For questions or support, please open an issue on the GitHub repository or contact skapadia@groq.com directly.
+For more information about the Mixture-of-Agents concept, please refer to the [original research paper](https://arxiv.org/abs/2406.04692) and the [Together AI blog post](https://www.together.ai/blog/together-moa).