add local/remote consideration

Author: PatrickFarley

articles/cognitive-services/form-recognizer/quickstarts/python-labeled-data.md

@@ -25,6 +25,9 @@ To complete this quickstart, you must have:
 - [Python](https://www.python.org/downloads/) installed (if you want to run the sample locally).
 - A set of at least six forms of the same type. You will use this data to train the model and test a form. You can use a [sample data set](https://go.microsoft.com/fwlink/?linkid=2090451) for this quickstart. Upload the training files to the root of a blob storage container in an Azure Storage account.
 
+> [!NOTE]
+> This quickstart uses remote documents accessed by URL. To use local files instead, see the [reference documentation](https://westus2.dev.cognitive.microsoft.com/docs/services/form-recognizer-api-v2-preview/operations/TrainCustomModelAsync).
+
 ## Create a Form Recognizer resource
 
 [!INCLUDE [create resource](../includes/create-resource.md)]

articles/cognitive-services/form-recognizer/quickstarts/python-layout.md

@@ -24,6 +24,10 @@ To complete this quickstart, you must have:
 - [Python](https://www.python.org/downloads/) installed (if you want to run the sample locally).
 - A form document. You can download an image from the [sample data set](https://go.microsoft.com/fwlink/?linkid=2090451) for this quickstart.
 
+> [!NOTE]
+> This quickstart uses a locally stored document. To use learn how to use remote files accessed by URL, see the [reference documentation](https://westus2.dev.cognitive.microsoft.com/docs/services/form-recognizer-api-v2-preview/operations/AnalyzeLayoutAsync).
+
+
 ## Create a Form Recognizer resource
 
 [!INCLUDE [create resource](../includes/create-resource.md)]

articles/cognitive-services/form-recognizer/quickstarts/python-receipts.md

@@ -25,6 +25,9 @@ To complete this quickstart, you must have:
 - [Python](https://www.python.org/downloads/) installed (if you want to run the sample locally).
 - A URL for an image of a receipt. You can use a [sample image](https://github.com/Azure-Samples/cognitive-services-REST-api-samples/blob/master/curl/form-recognizer/contoso-allinone.jpg?raw=true) for this quickstart.
 
+> [!NOTE]
+> This quickstart uses a remote receipt accessed by URL. To use local files instead, see the [reference documentation](https://westus2.dev.cognitive.microsoft.com/docs/services/form-recognizer-api-v2-preview/operations/AnalyzeReceiptAsync).
+
 ## Create a Form Recognizer resource
 
 [!INCLUDE [create resource](../includes/create-resource.md)]

articles/cognitive-services/form-recognizer/quickstarts/python-train-extract.md

@@ -25,6 +25,10 @@ To complete this quickstart, you must have:
 - [Python](https://www.python.org/downloads/) installed (if you want to run the sample locally).
 - A set of at least five forms of the same type. You will use this data to train the model. Your forms can be of different file types but must be the same type of document. You can use a [sample data set](https://go.microsoft.com/fwlink/?linkid=2090451) for this quickstart. Upload the training files to the root of a blob storage container in an Azure Storage account.
 
+> [!NOTE]
+> This quickstart uses remote documents accessed by URL. To use local files instead, see the [reference documentation](https://westus2.dev.cognitive.microsoft.com/docs/services/form-recognizer-api-v2-preview/operations/TrainCustomModelAsync).
+
+
 ## Create a Form Recognizer resource
 
 [!INCLUDE [create resource](../includes/create-resource.md)]
@@ -63,7 +67,7 @@ To train a Form Recognizer model with the documents in your Azure blob container
         'Ocp-Apim-Subscription-Key': '<subsription key>',
     }
 
-    body = 	{
+    body =     {
         "source": source,
         "sourceFilter": {
             "prefix": prefix,