Develop an App with the Gemini API in Gemini Enterprise Agent Platform

In this hands-on workshop, hosted for Google Developer Groups in collaboration with the Los Angeles Public Library, participants build a full-stack Python application utilizing the google-genai SDK to handle diverse data inputs across four specialized playground tabs:

• Story Generator (Text-to-Text): Implemented parameter-driven prompt structure and streamed text content.
• Marketing Campaign Planner (Structured Text): Captured explicit form elements to output structured marketing strategy briefs and KPI metrics.
• Video Playground (Video-to-Text): Processed raw video payloads (e.g., mp4 files) to generate visual descriptions, pinpoint timeline highlights, and extract environmental metadata.
• Image Playground (Image-to-Text): Used computer vision workflows to analyze image layouts, parse control panels for step-by-step instructions, interpret Entity-Relationship diagrams, and execute math reasoning problems.

The Engineering Stack and Infrastructure:

• Frontend: Built using the Streamlit framework to handle reactive application states and UI rendering.
• Enterprise Controls: Wrote custom execution configurations to lock down explicit backend Safety Thresholds.
• DevOps and Deployment: Wrote a production Dockerfile, built the container image via Cloud Build, stored it in Artifact Registry, and deployed it live on Google Cloud Run serverless infrastructure.

Whether the goal was to generate creative text, analyze marketing data, or process multimedia inputs, this workshop marked the first step of a four-part journey designed to take developers through the entire lifecycle of enterprise AI.