Explore a comprehensive video course on creating user interfaces for machine learning models using Gradio, a Python library designed for ML engineers. Learn about the challenges in ML prototyping, discover Gradio's advantages, and dive into hands-on tutorials covering components, multiple inputs, debugging, and UI/UX improvements. Master Gradio sharing and authentication, and gain practical experience deploying deep learning apps with Hugging Face Spaces. Developed by 1littlecoder, this 1-2 hour tutorial provides a thorough introduction to streamlining the process of building intuitive interfaces for ML models.
Overview
Syllabus
) Welcome to this ML App Course.
) What's the problem with current ML prototyping .
) What's Gradio & Advantages of Gradio .
) Getting started with Gradio .
) Gradio Components .
) Gradio Multiple inputs .
) Debugging & Flagging .
) Improving UI + UX .
) Gradio Sharing + Auth .
) Deploying DL Gradio App with Hugging Face Spaces .
) Course Finish-up Summary.
Taught by
freeCodeCamp.org
