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Version: 2.19

VertexAIImageCaptioner

VertexAIImageCaptioner enables text generation using Google Vertex AI imagetext generative model.

Mandatory run variables“image”: A ByteStream object storing an image
Output variables“captions”: A list of strings generated by the model
API referenceGoogle Vertex
GitHub linkhttps://github.com/deepset-ai/haystack-core-integrations/tree/main/integrations/google_vertex

Parameters Overview

VertexAIImageCaptioner 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 VertexAIImageCaptioner:

shell
pip install google-vertex-haystack

On its own

Basic usage:

python
import requests

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

captioner = VertexAIImageCaptioner()

image = ByteStream(data=requests.get("https://raw.githubusercontent.com/silvanocerza/robots/main/robot1.jpg").content)
result = captioner.run(image=image)

for caption in result["captions"]:
print(caption)

You can also set the caption language and the number of results:

python
import requests

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

captioner = VertexAIImageCaptioner(
number_of_results=3, # Can't be greater than 3
language="it",
)

image = ByteStream(data=requests.get("https://raw.githubusercontent.com/silvanocerza/robots/main/robot1.jpg").content)
result = captioner.run(image=image)

for caption in result["captions"]:
print(caption)