GitHub Codespaces ❤️ Jupyter ❤️ Microsoft LIDA

This is a Dev Container enabled template for Microsoft LIDA, making it easier for you to instantiate, run, and extend, Jupyter Notebooks running LIDA-driven visualizations in the cloud (using GitHub Codespaces) or on your local machine (using Docker Desktop) with a single click.

Quickstart: Setup

To get started using this template,

• First, click Use this template in the options provided on the GitHub repository for this project
• Next, select Create a new repository to instantiate a copy in your profile or organization
• Finally, in your copy, click the Code option, switch to the Codespaces tab - and Create codespace on main

This should launch a GitHub Codespaces version of development container (runtime) in your browser, and let you open - and run - the default basic Python notebook to validate that your environment works.

Configure: LLM Provider api keys

To start using LIDA, you need to setup the API keys for the relevant Large Language Model of your choice using the related LLMX Package - which provides a unified interface to several LLM providers for chat fine-tuned models including:

• OpenAI
• Azure OpenAI
• Google PaLM (via MakerSuite)
• Google PaLM (via Vertex AI)
• Cohere
• Hugging Face (local)

See examples of setup for usage within Jupyter notebooks and more.

Usage: In Dev Containers

Each LLM provider has its own set of environment variables that need to be setup for usage.

• Docker Desktop | create a .env and update it with your keys. We .gitignore the file so your secrets will not get checked into repo.
• GitHub Codespaces | you have to option to manage secrets for your Codespaces via GitHub settings.