adk-python/contributing/samples/generate_image/agent.py
Liang Wu 433c423d35 chore: include contributing/ folder in autoformat.sh
Also formatted the files in that folder in this same commit.

PiperOrigin-RevId: 766885306
2025-06-03 17:20:52 -07:00

54 lines
1.8 KiB
Python

# Copyright 2025 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from google.adk import Agent
from google.adk.tools import load_artifacts
from google.adk.tools import ToolContext
from google.genai import Client
from google.genai import types
# Only Vertex AI supports image generation for now.
client = Client()
async def generate_image(prompt: str, tool_context: 'ToolContext'):
"""Generates an image based on the prompt."""
response = client.models.generate_images(
model='imagen-3.0-generate-002',
prompt=prompt,
config={'number_of_images': 1},
)
if not response.generated_images:
return {'status': 'failed'}
image_bytes = response.generated_images[0].image.image_bytes
await tool_context.save_artifact(
'image.png',
types.Part.from_bytes(data=image_bytes, mime_type='image/png'),
)
return {
'status': 'success',
'detail': 'Image generated successfully and stored in artifacts.',
'filename': 'image.png',
}
root_agent = Agent(
model='gemini-2.0-flash-001',
name='root_agent',
description="""An agent that generates images and answer questions about the images.""",
instruction="""You are an agent whose job is to generate or edit an image based on the user's prompt.
""",
tools=[generate_image, load_artifacts],
)