README.md

DataFest Full Stack LLM App Workshop

This project is a mono-repo template for boostraping a react frontend app and a python fastapi backend for building a full stack LLM app.

Requirements

• CLI Terminal
• Setup Python 3.8+ & Pip 3: I recommend using Pyenv to install python and pip:
  • Windows Installation Guide: https://github.com/pyenv-win/pyenv-win
  • Mac Installation Guide: https://medium.com/geekculture/setting-up-python-environment-in-macos-using-pyenv-and-pipenv-116293da8e72
  • Linux Installation Guide: https://gist.github.com/trongnghia203/9cc8157acb1a9faad2de95c3175aa875
• NodeJS 16+: https://nodejs.org/en/download
• OpenAI Account and API Key: https://help.openai.com/en/articles/4936850-where-do-i-find-my-secret-api-key OR Cloudflare AI API key: https://developers.cloudflare.com/workers-ai/get-started/rest-api/
• Clone this repo and follow the ReadME instruction for setup: https://github.com/tosinamuda/datafest-llm-workshop
• Working Internet to connect to internet to be able to access OpenAI API

Development Setup

• React Frontend Dependencies are managed through yarn (not NPM) as we rely on yarn workspace for managing the entire monorepo
• Python Backend Dependencies is managed through pipenv
• Entire Monorepo is managed through yarn workspace

Step by Step Instruction

1. clone this repo by running git clone https://github.com/tosinamuda/datafest-llm-workshop.git
2. Change your directory to datafest-llm-workshop by running: cd datafest-llm-workshop
3. Run yarn to install all the dependencies
4. Copy the .env.sample to .env and replace the OPENAI_API_KEY or CF_API_KEY (Cloudflare API Key, include your CF Account ID if using cloudflare ) in .env with your own API Key
5. Run ``yarn dev` to start a development environment
6. If everything runs well, visit localhost:8000/docs for the apis and localhost:5173 for the frontend
7. Run ``yarn start` to start a production-ready environment