touchup

v-thepet · v-thepet · commit a99af2171914 · 2026-03-03T12:33:16.000-08:00
diff --git a/articles/app-service/includes/tutorial-ai-openai-chatbot/create-openai-resource.md b/articles/app-service/includes/tutorial-ai-openai-chatbot/create-openai-resource.md
@@ -37,7 +37,7 @@ In this section, you use Azure CLI in GitHub Codespaces to create an Azure OpenA
    ```
 
    > [!IMPORTANT]
-   > The location is tied to the regional availability of the chosen model. Model and [deployment type](/azure/ai-foundry/foundry-models/concepts/deployment-types) availability vary among regions and billing tiers. This tutorial uses `gpt-4o-mini`, which is available in several regions under the Standard deployment type.
+   > The location is tied to the regional availability of the chosen model. Model and [deployment type](/azure/ai-foundry/foundry-models/concepts/deployment-types) availability vary among Azure regions and billing tiers. This tutorial uses `gpt-4o-mini`, which is available in several regions under the Standard deployment type.
    >
    > Before selecting a location, consult the [Model summary and region availability table](/azure/ai-services/openai/concepts/models#model-summary-table-and-region-availability) to verify model support in your preferred region.
 
diff --git a/articles/app-service/tutorial-ai-openai-chatbot-python.md b/articles/app-service/tutorial-ai-openai-chatbot-python.md
@@ -18,7 +18,7 @@ ms.service: azure-app-service
 
 # Tutorial: Build a chatbot with Azure App Service and Azure OpenAI (Flask)
 
-In this tutorial, you build an intelligent AI application by integrating Azure OpenAI with a Python web application and deploying it to Azure App Service. You create a Flask app that sends chat completion requests to a model in Azure OpenAI, and connect to the service using a managed identity.
+In this tutorial, you build an intelligent AI application by integrating Azure OpenAI with a Python web application and deploy it to Azure App Service. You create a Flask app that sends chat completion requests to a model in Azure OpenAI, and connect to the service using a managed identity.
 
 You learn how to:
 
@@ -50,7 +50,7 @@ You learn how to:
     pip freeze > requirements.txt
     ```
 
-1. In the workspace root, create an file named *app.py* containing the following code for a simple chat completion call with Azure OpenAI.
+1. In the workspace root, create a file named *app.py* containing the following code for a simple chat completion call with Azure OpenAI.
 
     ```python
     import os
@@ -92,7 +92,7 @@ You learn how to:
         app.run()
     ```
     
-1. Create a *templates* directory and an *index.html* file in it. Paste the following code for creating a simple chat interface into the *index.html* file.
+1. Create a *templates* directory and an *index.html* file in it. Paste in the following code for creating a simple chat interface.
 
     ```html
     <!doctype html>

Original file line number	Diff line number	Diff line change
`@@ -37,7 +37,7 @@ In this section, you use Azure CLI in GitHub Codespaces to create an Azure OpenA`
`37`	`37`	```
`38`	`38`
`39`	`39`	`> [!IMPORTANT]`
`40`		- > The location is tied to the regional availability of the chosen model. Model and [deployment type](/azure/ai-foundry/foundry-models/concepts/deployment-types) availability vary among regions and billing tiers. This tutorial uses `gpt-4o-mini`, which is available in several regions under the Standard deployment type.
	`40`	+ > The location is tied to the regional availability of the chosen model. Model and [deployment type](/azure/ai-foundry/foundry-models/concepts/deployment-types) availability vary among Azure regions and billing tiers. This tutorial uses `gpt-4o-mini`, which is available in several regions under the Standard deployment type.
`41`	`41`	`>`
`42`	`42`	`> Before selecting a location, consult the [Model summary and region availability table](/azure/ai-services/openai/concepts/models#model-summary-table-and-region-availability) to verify model support in your preferred region.`
`43`	`43`