
准备工作
- 实验会创建一个 Google Cloud 项目和一些资源,供您使用限定的一段时间
- 实验有时间限制,并且没有暂停功能。如果您中途结束实验,则必须重新开始。
- 在屏幕左上角,点击开始实验即可开始
Send a text prompt requests to GenAI and generate an Image
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Reads content of generated image using GenAI
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In a challenge lab you’re given a scenario and a set of tasks. Instead of following step-by-step instructions, you will use the skills learned from the labs in the course to figure out how to complete the tasks on your own! An automated scoring system (shown on this page) will provide feedback on whether you have completed your tasks correctly.
When you take a challenge lab, you will not be taught new Google Cloud concepts. You are expected to extend your learned skills, like changing default values and reading and researching error messages to fix your own mistakes.
To score 100% you must successfully complete all tasks within the time period! Are you ready for the challenge?
Scenario: You're a developer at an AI-powered bouquet design company. Your clients can describe their dream bouquet, and your system generates realistic images for their approval. To further enhance the experience, you're integrating cutting-edge image analysis to provide descriptive summaries of the generated bouquets. Your main application will invoke the relevant methods based on the users' interaction and to facilitate that, you need to finish the below tasks:
Task 1: Develop a Python function named generate_bouquet_image(prompt)
. This function should invoke the imagen-3.0-generate-002
model using the supplied prompt
, generate the image, and store it locally. For this challenge, use the prompt: Create an image containing a bouquet of 2 sunflowers and 3 roses
.
Click Check my progress to verify the objective.
Task 2: Develop a second Python function called analyze_bouquet_image(image_path)
. This function will take the image path as input along with a text prompt to generate birthday wishes based on the image passed and send it to the gemini-2.0-flash-001
model. To ensure responses can be obtained as and when they are generated, enable streaming on the prompt requests.
Click Check my progress to verify the objective.
You have completed the lab! Congratulations!!
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