Overview
Watch a 19-minute conference talk from SF Python where speaker Dash Desai demonstrates how to build an image recognition system by integrating PyTorch, OpenAI, Streamlit, and Snowflake technologies. Learn through a hands-on demo that covers essential components including Visual Studio Code setup, Snowflake configuration, model implementation, dependency management, and creating interactive web applications with Streamlit. Filmed at GitHub headquarters in San Francisco, this presentation provides a practical walkthrough for developers interested in combining modern AI and cloud technologies for computer vision applications.
Syllabus
Introduction
Demo
Visual Studio Code
Snowflake
Models
Dependencies
Quickstart Guide
Streamlit
Taught by
SF Python