VertexAIImageQA
This component enables text generation (image captioning) using Google Vertex AI generative models.
Basic Information
- Type:
haystack_integrations.components.generators.google_vertex.question_answering.VertexAIImageQA
Inputs
| Parameter | Type | Default | Description |
|---|---|---|---|
| image | ByteStream | The image to ask the question about. | |
| question | str | The question to ask. |
Outputs
| Parameter | Type | Default | Description |
|---|---|---|---|
| replies | List[str] | A dictionary with the following keys: - replies: A list of answers to the question. |
Overview
Bear with us while we're working on adding pipeline examples and most common components connections.
This component enables text generation (image captioning) using Google Vertex AI generative models.
Authenticates using Google Cloud Application Default Credentials (ADCs). For more information see the official Google documentation.
Usage example:
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
Usage Example
components:
VertexAIImageQA:
type: google_vertex.src.haystack_integrations.components.generators.google_vertex.question_answering.VertexAIImageQA
init_parameters:
Parameters
Init Parameters
These are the parameters you can configure in Pipeline Builder:
| Parameter | Type | Default | Description |
|---|---|---|---|
| project_id | Optional[str] | None | ID of the GCP project to use. By default, it is set during Google Cloud authentication. |
| model | str | imagetext | Name of the model to use. |
| location | Optional[str] | None | The default location to use when making API calls, if not set uses us-central-1. |
| kwargs | Any | Additional keyword arguments to pass to the model. For a list of supported arguments see the ImageTextModel.ask_question() documentation. |
Run Method Parameters
These are the parameters you can configure for the component's run() method. This means you can pass these parameters at query time through the API, in Playground, or when running a job. For details, see Modify Pipeline Parameters at Query Time.
| Parameter | Type | Default | Description |
|---|---|---|---|
| image | ByteStream | The image to ask the question about. | |
| question | str | The question to ask. |
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