Add lightbox code.

Author: Sherry Yang

learn-pr/wwl-data-ai/get-started-with-text-analysis-in-azure/includes/2-azure-language.md

@@ -86,7 +86,7 @@ You can provide Azure Language with unstructured text and it returns a list of *
 
 In the classic Foundry portal, you can test out Azure Language's named entity recognition feature in the Language Playground. 
 
-![Screenshot of the Language playground's named entity recognition capability.](../media/playground-named-entities.png)
+:::image type="content" source="../media/playground-named-entities.png" alt-text="Screenshot of the Language playground's named entity recognition capability." lightbox="../media/playground-named-entities.png":::
 
 Azure Language also supports **entity linking** to help disambiguate entities by linking to a specific reference. For recognized entities, the service returns a URL for a relevant *Wikipedia* article.
 
@@ -127,7 +127,7 @@ The service would provide sentence analysis for each of the sentences. Each sent
 
 In classic Foundry portal, you can test out Azure Language's sentiment analysis capability in the Language Playground. 
 
-![Screenshot of the Language playground's sentiment capability.](../media/playground-sentiment.png)
+:::image type="content" source="../media/playground-sentiment.png" alt-text="Screenshot of the Language playground's sentiment capability." lightbox="../media/playground-sentiment.png":::
 
 #### Summarization 
 
@@ -149,7 +149,7 @@ The individual experienced an exceptional dining experience at the Foundry diner
 
 In classic Foundry portal, you can test out Azure Language's summarization capability in the Language Playground. 
 
-![Screenshot of the Language playground's summarization capability.](../media/playground-summarize.png)
+:::image type="content" source="../media/playground-summarize.png" alt-text="Screenshot of the Language playground's summarization capability." lightbox="../media/playground-summarize.png":::
 
 Next, let's learn how to get started with the Azure Language software development kit (SDK) to build a lightweight application.
 

learn-pr/wwl-data-ai/get-started-with-text-analysis-in-azure/includes/3-language-sdk.md

@@ -8,11 +8,11 @@
 
 A Foundry resource and project is sufficient for using Azure Language in Foundry portal, but you will need an additional *Language resource* to use the Azure Language SDK. You can create a Language resource in the Azure portal, or programmatically in a command line interface (CLI).  
 
-![Screenshot of the Azure portal with the marketplace open to the Language resource.](../media/azure-portal-create-resource.png)
+:::image type="content" source="../media/azure-portal-create-resource.png" alt-text="Screenshot of the Azure portal with the marketplace open to the Language resource." lightbox="../media/azure-portal-create-resource.png":::
 
 When you create a Language resource, Azure creates an *endpoint* for Azure Language. The endpoint is the address to a specific cloud service or model. We can find the Language service endpoint and key in the Azure portal. 
 
-![Screenshot of a Language resource in the Azure portal with the key and endpoint page open.](../media/azure-portal-credentials.png)
+:::image type="content" source="../media/azure-portal-credentials.png" alt-text="Screenshot of a Language resource in the Azure portal with the key and endpoint page open." lightbox="../media/azure-portal-credentials.png":::
 
 When you run your application code, your application sends a request, or call, to the endpoint. The call can be sent using the REST API or SDK. The service returns a response, such as key phrases detected, in a format known as JSON. 
 
@@ -46,17 +46,17 @@ from azure.ai.textanalytics import TextAnalyticsClient
 from azure.core.credentials import AzureKeyCredential
 ```
 
-![Screenshot of Visual Studio Code with a Python file open with a focus on the client object created.](../media/python-sdk-client-example.png)
+:::image type="content" source="../media/python-sdk-client-example.png" alt-text="Screenshot of Visual Studio Code with a Python file open with a focus on the client object created." lightbox="../media/python-sdk-client-example.png":::
 
 Then we use our Language resource endpoint and key to create an authenticated **client object**, the tool your code uses to communicate with a service. The client object knows the service's endpoint, carries credentials (like keys or tokens), exposes methods (for example: `analyze_sentiment()`), and handles sending requests and receiving responses under the hood.
 
 We use the client's methods to call Azure Language functions. For example, we can extract key phrases with `client.extract_key_phrases()`, recognize entities with the function `client.recognize_entities()`, and analyze sentiment with `client.analyze_sentiment()`. To generate a summary, we need to use an asynchronous technique to begin the summarization task and retrieve the results. 
 
-![Screenshot of Visual Studio Code with a Python file open with a focus on the text analysis functions.](../media/python-sdk-text-analysis-example.png)
+:::image type="content" source="../media/python-sdk-text-analysis-example.png" alt-text="Screenshot of Visual Studio Code with a Python file open with a focus on the text analysis functions." lightbox="../media/python-sdk-text-analysis-example.png":::
 
 We can display the results of the analysis by running the application code in the terminal with the command `python <file_name>.py`. When we run the app, it uses Azure Language in our Foundry resource to perform each of the tasks. 
 
-![Screenshot of Visual Studio Code with the terminal open with a focus on the results.](../media/python-sdk-results.png)
+:::image type="content" source="../media/python-sdk-results.png" alt-text="Screenshot of Visual Studio Code with the terminal open with a focus on the results." lightbox="../media/python-sdk-results.png":::
 
 ## Examples of code to use with the Azure Language Python SDK 
 

learn-pr/wwl-data-ai/get-started-with-text-analysis-in-azure/includes/4-language-mcp.md

@@ -16,25 +16,24 @@ A **MCP server** gives an agent access to tools, data, or actions that the agent
 
 You can access the Azure Language MCP server and other Foundry Tools in the *new* Foundry portal. 
 
-![Screenshot of the Azure Language MCP server description page in the new Foundry portal.](../media/azure-language-mcp-details.png)
+:::image type="content" source="../media/azure-language-mcp-details.png" alt-text="Screenshot of the Azure Language MCP server description page in the new Foundry portal." lightbox="../media/azure-language-mcp-details.png":::
 
 ## Use the Azure Language MCP Server in Foundry portal 
 
 You can start out in the *new* Foundry portal by deploying a model and saving it in the Foundry playground as an agent. 
 
-![Screenshot of the agent in the Foundry playground.](../media/agent-playground.png)
+:::image type="content" source="../media/agent-playground.png" alt-text="Screenshot of the agent in the Foundry playground." lightbox="../media/agent-playground.png":::
 
 > [!NOTE]
 > A Foundry resource provides a unified environment that already includes access to Language tools. You do not need to create a separate Azure Language resource to access the Azure Language MCP server. 
 
 You can add tools, such as **Azure Language in Foundry Tools**, to your agent in the Foundry playground.
 
-![Screenshot of the tool browser open in the playground and the Azure Language in Foundry Tools selected.](../media/add-tool-to-agent.png)
+:::image type="content" source="../media/add-tool-to-agent.png" alt-text="Screenshot of the tool browser open in the playground and the Azure Language in Foundry Tools selected." lightbox="../media/add-tool-to-agent.png":::
 
 To connect to the Azure Language MCP server, you need to configure your connection with your *Foundry resource name*. Once you've connected the MCP server to an agent as a tool, you can use prompts to instruct the agent to use the tool to analyze text. The ability to use  Azure Language as a tool in an agent helps you build agentic solutions that make sense of text documents. 
 
-![Screenshot of Azure Language in Foundry Tools used in the Foundry playground.](../media/language-agent-response.png)
-
+:::image type="content" source="../media/language-agent-response.png" alt-text="Screenshot of Azure Language in Foundry Tools used in the Foundry playground." lightbox="../media/language-agent-response.png":::
 
 Next, try out text analysis in Foundry yourself.