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Generate Text from Gemini API
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Gemini API: Qwik Start
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GSP1308
Overview
The Gemini API empowers developers and creators across various fields by providing advanced natural language processing and code generation capabilities. It enables the creation of intelligent chatbots, automated content generation tools, insightful data analysis platforms, and personalized learning experiences. Its versatility stems from its ability to understand context, generate creative text, analyze complex data, and adapt to diverse applications.
There are two Gemini models, Gemini Pro and Gemini Flash. In this lab, you will use the
Prerequisites
Before starting this lab, you should be familiar with:
- Basic Python programming.
- General API concepts.
- Running Python code in a Jupyter notebook on Vertex AI Workbench.
Objectives
In this lab, you will learn how to:
- Set up and authenticate the Gemini API.
- Make basic API calls to interact with Gemini models.
Task 1. Set your API Key
- In the Jupyter Notebook, copy the below API key into
API_KEYvariable.
Task 2. Run through the notebook cells
- Once you have set your
API_KEYvariable, please replace the__GEMINI_FLASH_MODEL_ID__placeholder in the notebook withand follow instructions directly in the Jupyter Notebook.
Click Check my progress to verify the objective.
Click Check my progress to verify the objective.
Congratulations!
Congratulations! In this lab, you learned how to use the Gemini API and make basic API calls to interact with Gemini models.
Next steps / learn more
Check out the following resources to learn more about Gemini:
- Gemini Overview
- Generative AI on Vertex AI Documentation
- Generative AI on YouTube
- Explore the Vertex AI Cookbook for a curated, searchable gallery of notebooks for Generative AI.
- Explore other notebooks and samples in the Google Cloud Generative AI repository.
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Manual Last Updated October 07, 2025
Lab Last Tested October 07, 2025
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