Initial push for label doc updates.

Author: erhopf

articles/cognitive-services/form-recognizer/deploy-label-tool.md

@@ -6,19 +6,34 @@ author: PatrickFarley
 manager: nitinme
 ms.service: cognitive-services
 ms.subservice: forms-recognizer
-ms.topic: conceptual
-ms.date: 02/28/2020
+ms.topic: how-to
+ms.date: 03/20/2020
 ms.author: pafarley
 ---
 
 # Deploy the sample labeling tool
 
-The Form Recognizer sample labeling tool is an application that runs in a Docker container. It provides a helpful UI that you can use to manually label form documents for the purpose of supervised learning. The [Train with labels](./quickstarts/label-tool.md) quickstart shows you how to run the tool on your local computer, which is the most common scenario. 
+The Form Recognizer sample labeling tool is an application that provides a simple user interface (UI), which you can use to manually label forms (documents) for the purpose of supervised learning. In this article, we'll provide links and instructions that teach you how to:
 
-This guide will explain alternate ways you can deploy and run the sample labeling tool. 
+* Run sample labeling tool locally
+* Deploy the sample labeling tool to an Azure Container Instance (ACI)
+* Use the open sourced OCR Form Labeling Tool
+
+## Run the sample labeling tool locally
+
+The fastest way to start labeling data is to run the sample labeling tool locally. The following quickstart uses the Form Recognizer REST API and the sample labeling tool to train a custom model with manually labeled data. 
+
+* [Quickstart: Label forms, train a model, and analyze a form using the sample labeling tool](./quickstarts/label-tool.md).
 
 ## Deploy with Azure Container Instances
 
+Before we get started, it's important to note that there are two ways to deploy the sample labeling tool to an Azure Container Instance (AC): 
+
+* Using the Azure portal 
+* Using the Azure CLI
+
+### Azure portal
+
 You can run the label tool in a Docker web app container. First, [create a new Web App resource](https://ms.portal.azure.com/#create/Microsoft.WebSite) on the Azure portal. Fill in the form with your subscription and resource group details. Enter the following information in the required fields:
 * **Publish**: Docker Container
 * **Operating** System: Linux
@@ -32,10 +47,31 @@ On the next page, fill in the following fields for the Docker container setup:
 
 The steps that follow are optional. Once your app has finished deploying, you can run it and access the label tool online.
 
+### Azure CLI
+
+```cli
+DNS_NAME_LABEL=aci-demo-$RANDOM
+
+az container create \
+  --resource-group <resorunce_group_name> \
+  --name <name> \
+  --image mcr.microsoft.com/azure-cognitive-services/custom-form/labeltool \
+  --ports 3000 \
+  --dns-name-label $DNS_NAME_LABEL \
+  --location <region name> \
+  --cpu 2 \
+  --memory 8
+  --command-line "./run.sh eula=accept”
+```
+
 ### Connect to Azure AD for authorization
 
 We recommend to connect your web app to Azure Active Director (AAD) so that only someone with your credentials can sign in and use the app. Follow the instructions in [Configure your App Service app](https://docs.microsoft.com/azure/app-service/configure-authentication-provider-aad) to connect to AAD.
 
+## Open source on GitHub
+
+
+
 ## Next steps
 
 Return to the [Train with labels](./quickstarts/label-tool.md) quickstart to learn how to use the tool to manually label training data and do supervised learning.