Merge pull request #192337 from aahill/ba-update-2

CORS update

Author: denrea

articles/cognitive-services/language-service/custom-classification/how-to/create-project.md

@@ -8,7 +8,7 @@ manager: nitinme
 ms.service: cognitive-services
 ms.subservice: language-service
 ms.topic: how-to
-ms.date: 02/10/2022
+ms.date: 03/21/2022
 ms.author: aahi
 ms.custom: language-service-custom-classification, references_regions, ignite-fall-2021
 ---
@@ -28,7 +28,7 @@ Before you start using custom text classification, you will need several things:
 
 ## Azure resources
 
-Before you start using custom classification, you will need a Azure Language resource. We recommend following the steps below for creating your resource in the Azure portal . Creating a resource in the Azure portal lets you create an Azure storage account at the same time, with all of the required permissions pre-configured. You can also read further in the article to learn how to use a pre-existing resource, and configure it to work with custom text classification.
+Before you start using custom classification, you will need an Azure Language resource. We recommend following the steps below for creating your resource in the Azure portal. Creating a resource in the Azure portal lets you create an Azure storage account at the same time, with all of the required permissions pre-configured. You can also read further in the article to learn how to use a pre-existing resource, and configure it to work with custom text classification.
 
 You also will need an Azure storage account where you will upload your `.txt` files that will be used to train a model to classify text.
 
@@ -42,7 +42,7 @@ You also will need an Azure storage account where you will upload your `.txt` fi
 
 ### Create a new resource from Language Studio
 
-If it's your first time logging in, you'll see a window appear in [Language Studio](https://aka.ms/languageStudio) that will let you choose a language resource or create a new one. You can also create a resource by clicking the settings icon in the top-right corner, selecting **Resources**, then clicking **Create a new resource**.
+If it's your first time logging in, you'll see a window in [Language Studio](https://aka.ms/languageStudio) that will let you choose a language resource or create a new one. You can also create a resource by clicking the settings icon in the top-right corner, selecting **Resources**, then clicking **Create a new resource**.
 
 > [!IMPORTANT]
 > * To use Custom Text Classification, you'll need a Language resource in **West US 2** or **West Europe** with the Standard (**S**) pricing tier.
@@ -128,6 +128,12 @@ To set proper roles on your storage account:
 
 [!INCLUDE [Storage connection note](../includes/storage-account-note.md)]
 
+### Enable CORS for your storage account
+
+Make sure to allow (**GET, PUT, DELETE**) methods when enabling Cross-Origin Resource Sharing (CORS). Make sure to add an asterisk (`*`) to the fields, and add the recommended value of 500 for the maximum age.
+
+:::image type="content" source="../../custom-named-entity-recognition/media/cors.png" alt-text="A screenshot showing how to use CORS for storage accounts." lightbox="../../custom-named-entity-recognition/media/cors.png":::
+
 ## Prepare training data
 
 * As a prerequisite for creating a custom text classification project, your training data needs to be uploaded to a blob container in your storage account. You can create and upload training files from Azure directly or through using the Azure Storage Explorer tool. Using Azure Storage Explorer tool allows you to upload more data in less time.
@@ -148,4 +154,4 @@ To set proper roles on your storage account:
 
 ## Next steps
 
-After your project is created, you can start [tagging your data](tag-data.md), which will inform your text classification model how to interpret text, and is used for training and evaluation.
+After your project is created, you can start [tagging your data](tag-data.md), which will inform your text classification model how to interpret text, and is used for training and evaluation.

articles/cognitive-services/language-service/custom-classification/media/cors.png

@@ -8,7 +8,7 @@ manager: nitinme
 ms.service: cognitive-services
 ms.subservice: language-service
 ms.topic: how-to
-ms.date: 02/10/2022
+ms.date: 03/21/2022
 ms.author: aahi
 ms.custom: language-service-custom-ner, references_regions, ignite-fall-2021
 ---
@@ -29,7 +29,7 @@ You should have an idea of the [project schema](design-schema.md) you will use f
 
 ## Azure resources
 
-Before you start using custom NER, you will need a Azure Language resource. We recommend the steps in the [quickstart](../quickstart.md) for creating one in the Azure portal. Creating a resource in the Azure portal lets you create an Azure storage account at the same time, with all of the required permissions pre-configured. You can also read further in the article to learn how to use a pre-existing resource, and configure it to work with custom NER.
+Before you start using custom NER, you will need an Azure Language resource. We recommend the steps in the [quickstart](../quickstart.md) for creating one in the Azure portal. Creating a resource in the Azure portal lets you create an Azure storage account at the same time, with all of the required permissions pre-configured. You can also read further in the article to learn how to use a pre-existing resource, and configure it to work with custom NER.
 
 # [Azure portal](#tab/portal)
 
@@ -39,7 +39,7 @@ Before you start using custom NER, you will need a Azure Language resource. We r
 
 ### Create a new resource from Language Studio
 
-If it's your first time logging in, you'll see a window appear in [Language Studio](https://aka.ms/languageStudio) that will let you choose a language resource or create a new one. You can also create a resource by clicking the settings icon in the top-right corner, selecting **Resources**, then clicking **Create a new resource**.
+If it's your first time logging in, you'll see a window in [Language Studio](https://aka.ms/languageStudio) that will let you choose a language resource or create a new one. You can also create a resource by clicking the settings icon in the top-right corner, selecting **Resources**, then clicking **Create a new resource**.
 
 > [!IMPORTANT]
 > * To use Custom NER, you'll need a Language resource in **West US 2** or **West Europe** with the Standard (**S**) pricing tier.
@@ -140,6 +140,12 @@ To set proper roles on your storage account:
 
 For information on authorizing access to your Azure blob storage account and data, see [Authorize access to data in Azure storage](../../../../storage/common/authorize-data-access.md?toc=%2fazure%2fstorage%2fblobs%2ftoc.json).
 
+### Enable CORS for your storage account
+
+Make sure to allow (**GET, PUT, DELETE**) methods when enabling Cross-Origin Resource Sharing (CORS). Then, add an asterisk (`*`) to the fields and add the recommended value of 500 for the maximum age.
+
+:::image type="content" source="../media/cors.png" alt-text="A screenshot showing how to use CORS for storage accounts." lightbox="../media/cors.png":::
+
 ## Prepare training data
 
 * As a prerequisite for creating a custom NER project, your training data needs to be uploaded to a blob container in your storage account. You can create and upload training files from Azure directly or through using the Azure Storage Explorer tool. Using Azure Storage Explorer tool allows you to upload more data in less time.
@@ -164,4 +170,4 @@ Review the data you entered and select **Create Project**.
 
 ## Next steps
 
-After your project is created, you can start [tagging your data](tag-data.md), which will inform your entity extraction model how to interpret text, and is used for training and evaluation.
+After your project is created, you can start [tagging your data](tag-data.md), which will inform your entity extraction model how to interpret text, and is used for training and evaluation.