chatlab

# Installation and Setup Guide This document provides step-by-step instructions for setting up the development environment and running the application. ## Prerequisites Before starting, ensure that you have all the necessary tools installed on your system. ## Installation Steps ### 1. Installing and Running Ollama Ollama is required to provide model inference capabilities. 1. Download and install Ollama from [https://ollama.com/](https://ollama.com/) 2. Start the Ollama service with the command: ```bash ollama serve ``` ### 2. Setting Up LLama-Stack LLama-Stack will be used to manage our inference environment. 1. Install the `uv` package manager 2. Set up a virtual environment (venv) 3. Run the following command inside the virtual environment: ```bash INFERENCE_MODEL=gemma3:latest llama stack build --template ollama --image-type venv --run ``` ### 3. Project Setup Clone this repository and install the necessary dependencies: 1. Clone the repository: ```bash git clone [https://github.com/ricardoborges/chatlab.git] cd [chatlab] ``` 2. Create a virtual environment and install dependencies: ```bash uv venv uv pip install -r myproject.toml ``` ### 4. Running the Application Start the Gradio application with the following command: ```bash gradio main.py ``` After running this command, the application interface will be available in your browser. ## Troubleshooting If you encounter any issues during installation, check: - That the Ollama service is running - That the virtual environment was activated correctly - That all dependencies were successfully installed ## Additional Resources For more information about LLama-Stack, refer to the [official documentation](https://llama-stack.readthedocs.io/en/latest/getting_started/index.html).