Google Skills Boost

bb-ide-genai-004

GCP Project – qwiklabs-gcp-00-fc150d6744a7

Region – us-central1

1. Upgrade Gen AI

2. /usr/bin/pip3 install --upgrade google-genai google-cloud-logging

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.

save as GenerateImage.py and run

import vertexai from vertexai.preview.vision_models import ImageGenerationModel def generate_bouquet_image(     project_id: str, location: str, output_file: str, prompt: str ):     “””Generate an image using a text prompt.     Args:         project_id: Google Cloud project ID, used to initialize Vertex AI.         location: Google Cloud region, used to initialize Vertex AI.         output_file: Local path to the output image file.         prompt: The text prompt describing what you want to see.     “””     vertexai.init(project=project_id, location=location)     model = ImageGenerationModel.from_pretrained(“imagen-3.0-generate-002”)     images = model.generate_images(         prompt=prompt,         # Optional parameters         number_of_images=1,         seed=1,         add_watermark=False,     )     images[0].save(location=output_file)     return images # Example usage: generate_bouquet_image(     project_id=’qwiklabs-gcp-03-25c367087bd7‘,     location=’europe-west4‘,     output_file=’image.jpeg’,     prompt=’Create an image containing a bouquet of 2 sunflowers and 3 roses’, ) 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. ——- save as AnalyseImage.py and run import vertexai from vertexai.generative_models import GenerativeModel, Part, Image def analyze_bouquet_image(image_path: str):     vertexai.init(         project=’qwiklabs-gcp-00-fc150d6744a7′,  # Your project ID         location=’us-central1′,                  # Your region     )     multimodal_model = GenerativeModel(“gemini-2.0-flash-001”)     messages = [         “Generate a birthday wish based on the following image”,         Part.from_image(Image.load_from_file(location=image_path))     ]     chat = multimodal_model.start_chat()     print(chat.send_message(content=messages, stream=False)) # Analyze the previously saved image if __name__ == “__main__”:     analyze_bouquet_image(         image_path=’image.jpeg’     )

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