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docs-website/docs/pipeline-components/generators/vertexaiimageqa.mdx

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+---
+title: "VertexAIImageQA"
+id: vertexaiimageqa
+slug: "/vertexaiimageqa"
+description: "This component enables text generation (image captioning) using Google Vertex AI generative models."
+---
+
+# VertexAIImageQA
+
+This component enables text generation (image captioning) using Google Vertex AI generative models.
+
+<div className="key-value-table">
+
+|  |  |
+| --- | --- |
+| **Mandatory run variables** | `image`: A [`ByteStream`](../../concepts/data-classes.mdx#bytestream)  containing an image data  <br /> <br />`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](/reference/integrations-google-vertex) |
+| **GitHub link** | https://github.com/deepset-ai/haystack-core-integrations/tree/main/integrations/google_vertex |
+| **Package name** | `google-vertex-haystack` |
+
+</div>
+
+`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](https://cloud.google.com/docs/authentication/provide-credentials-adc).
+
+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](https://console.cloud.google.com/cloud-resource-manager) or locally by running `gcloud projects list` in your terminal. For more info on the gcloud CLI, see its [official documentation](https://cloud.google.com/cli).
+
+## Usage
+
+You need to install `google-vertex-haystack` package to use the  `VertexAIImageQA`:
+
+```python
+pip install google-vertex-haystack
+```
+
+### On its own
+
+Basic usage:
+
+```python
+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:
+
+```python
+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
+```