Merge pull request #3560 from santiagxf/santiagxf-patch-1

Update python.md

Author: prmerger-automator[bot]

articles/ai-foundry/model-inference/includes/use-image-embeddings/python.md

@@ -7,7 +7,7 @@ author: msakande
 reviewer: santiagxf
 ms.service: azure-ai-model-inference
 ms.topic: how-to
-ms.date: 01/22/2025
+ms.date: 03/17/2025
 ms.author: mopeakande
 ms.reviewer: fasantia
 ms.custom: generated
@@ -41,7 +41,7 @@ import os
 from azure.ai.inference import ImageEmbeddingsClient
 from azure.core.credentials import AzureKeyCredential
 
-model = ImageEmbeddingsClient(
+client = ImageEmbeddingsClient(
     endpoint=os.environ["AZURE_INFERENCE_ENDPOINT"],
     credential=AzureKeyCredential(os.environ["AZURE_INFERENCE_CREDENTIAL"]),
     model="Cohere-embed-v3-english"
@@ -55,7 +55,7 @@ import os
 from azure.ai.inference import ImageEmbeddingsClient
 from azure.identity import DefaultAzureCredential
 
-model = ImageEmbeddingsClient(
+client = ImageEmbeddingsClient(
     endpoint=os.environ["AZURE_INFERENCE_ENDPOINT"],
     credential=DefaultAzureCredential(),
     model="Cohere-embed-v3-english"
@@ -70,7 +70,7 @@ To create image embeddings, you need to pass the image data as part of your requ
 from azure.ai.inference.models import ImageEmbeddingInput
 
 image_input= ImageEmbeddingInput.load(image_file="sample1.png", image_format="png")
-response = model.embed(
+response = client.embed(
     input=[ image_input ],
 )
 ```
@@ -102,7 +102,7 @@ Some models can generate embeddings from images and text pairs. In this case, yo
 ```python
 text_image_input= ImageEmbeddingInput.load(image_file="sample1.png", image_format="png")
 text_image_input.text = "A cute baby sea otter"
-response = model.embed(
+response = client.embed(
     input=[ text_image_input ],
 )
 ```
@@ -117,7 +117,7 @@ The following example shows how to create embeddings that are used to create an
 ```python
 from azure.ai.inference.models import EmbeddingInputType
 
-response = model.embed(
+response = client.embed(
     input=[ image_input ],
     input_type=EmbeddingInputType.DOCUMENT,
 )
@@ -129,7 +129,7 @@ When you work on a query to retrieve such a document, you can use the following
 ```python
 from azure.ai.inference.models import EmbeddingInputType
 
-response = model.embed(
+response = client.embed(
     input=[ image_input ],
     input_type=EmbeddingInputType.QUERY,
 )