Thu, Dec 19, 202457:11Inference
Edge Computing with LangChain, Gradio, and Cloudflare
From the video description
Explore the fascinating world of AI and user interface design with Karim Lalani at the Austin LangChain December Meeting! Karim, a seasoned software engineer and contractor for the state of Texas, takes us through a hands-on lab featuring Gradio and Cloudflare Workers AI.
Resources
Write-up
Presented by Karim Lalani
Welcome to our hands-on lab session on Edge Computing using Gradio and Cloudflare! Join Karim Lalani as he guides you through building and deploying efficient AI applications at the edge.
Lab Materials
All materials for this lab can be found in our LangChain_111 GitHub repository. The lab includes:
- CloudflareSetup.md - Instructions for setting up Cloudflare for edge deployment
- Intro_to_Gradio.ipynb - Introduction to building interfaces with Gradio
- Spoil_a_wish.ipynb - A fun example application demonstrating Gradio capabilities
Prerequisites
Before starting the lab, ensure you have:
- Python 3.8 or higher installed
- A Cloudflare account (free tier is sufficient)
- Basic familiarity with Python and web concepts
Getting Started
- Clone the repository:
git clone https://github.com/aimug-org/austin_langchain.git
cd austin_langchain/labs/LangChain_111- Follow the setup instructions in CloudflareSetup.md
- Open and run through the Jupyter notebooks in order:
- Start with Intro_to_Gradio.ipynb
- Then explore Spoil_a_wish.ipynb
What You’ll Learn
- Building web interfaces with Gradio
- Deploying AI applications to the edge using Cloudflare
- Best practices for edge computing with AI
- Creating interactive AI experiences
Join us for this exciting lab session where we’ll explore the intersection of AI and edge computing!
