Build and Deploy GenAI Apps with Azure OpenAI, Snowflake, and Streamlit

Building applications that incorporate image data adds a whole new layer of complexity with more diverse types of data, different data sources to manage, and greater horsepower required. But with an integrated data stack, developers can streamline the process from development to deployment in minutes. In this hands-on lab we’ll show you how to build an image-based recommendation application that is powered by generative AI (GenAI) and built with Snowpark External Access, Azure Open AI and Streamlit.

In this hands-on lab, you’ll learn how to:

• Set up and integrate Snowflake and Azure OpenAI platforms,
• Create a Snowpark External Access integration to call Azure OpenAI.
• Build a Streamlit app that calls OpenAI leveraging tabular and image data from Snowflake.
• Deploy your first GenAI app with image data in Snowflake!