
Mandatory run variables	“image”: A `ByteStream` containing an image data ”question”: A string of a question about the image
Output variables	“replies”: A list of strings containing answers generated by the model
API reference	Google Vertex
GitHub link	https://github.com/deepset-ai/haystack-core-integrations/tree/main/integrations/google_vertex

VertexAIImageQA supports the imagetext model.

Parameters Overview

VertexAIImageQA uses Google Cloud Application Default Credentials (ADCs) for authentication. For more information on how to set up ADCs, see the official documentation.

Keep in mind that it’s essential to use an account that has access to a project authorized to use Google Vertex AI endpoints.

You can find your project ID in the GCP resource manager or locally by running gcloud projects list in your terminal. For more info on the gcloud CLI, see its official documentation.

Usage

You need to install google-vertex-haystack package to use the VertexAIImageQA:

pip install google-vertex-haystack

On its own

Basic usage:

from haystack.dataclasses.byte_stream import ByteStream
from haystack_integrations.components.generators.google_vertex import VertexAIImageQA


qa = VertexAIImageQA()

image = ByteStream.from_file_path("dog.jpg")

res = qa.run(image=image, question="What color is this dog")

print(res["replies"][0])

>>> white

You can also set the number of answers generated:

from haystack.dataclasses.byte_stream import ByteStream
from haystack_integrations.components.generators.google_vertex import VertexAIImageQA


qa = VertexAIImageQA(
    number_of_results=3,
)
image = ByteStream.from_file_path("dog.jpg")

res = qa.run(image=image, question="Tell me something about this dog")

for answer in res["replies"]:
    print(answer)

>>> pomeranian
>>> white
>>> pomeranian puppy