account for both image upload options

Author: PatrickFarley

articles/ai-services/content-safety/how-to/incident-response.md

@@ -30,7 +30,7 @@ Follow these steps to define an incident with a few examples of text content and
 * An Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services/) 
 * Once you have your Azure subscription, <a href="https://aka.ms/acs-create"  title="Create a Content Safety resource"  target="_blank">create a Content Safety resource </a> in the Azure portal to get your key and endpoint. Enter a unique name for your resource, select your subscription, and select a resource group, supported region (East US or Sweden Central), and supported pricing tier. Then select **Create**.
   * The resource takes a few minutes to deploy. After it finishes, Select **go to resource**. In the left pane, under **Resource Management**, select **Subscription Key and Endpoint**. The endpoint and either of the keys are used to call APIs.
-* also create a blob storage container tbd
+* Also create a blob storage container if you want to upload your images there. You can also encode your images as Base64 strings and use them directly in the API calls.
 * One of the following installed:
   * [cURL](https://curl.haxx.se/) for REST API calls.
   * [Python 3.x](https://www.python.org/) installed
@@ -275,7 +275,7 @@ curl --location 'https://<endpoint>/contentsafety/image/incidents/<image-inciden
   "IncidentSamples": [
     {
       "image": {
-        "content": "",
+        "content": "<base64-data>",
         "bloburl": "<your-blob-storage-url>.png"
       }
     }
@@ -295,7 +295,7 @@ payload = json.dumps({
   "IncidentSamples": [
     {
       "image": {
-        "content": "",
+        "content": "<base64-data>",
         "bloburl": "<your-blob-storage-url>/image.png"
       }
     }
@@ -315,7 +315,7 @@ print(response.text)
 
 ### Analyze image with incident response
 
-Use the following command to upload a sample image and test it against the incient you created.
+Use the following command to upload a sample image and test it against the incient you created. You can either use a URL pointing to the image in an Azure blob storage container, or you can add the image data as a Base64 string.
 
 #### [cURL](#tab/curl)
 
@@ -326,7 +326,7 @@ curl --location 'https://<endpoint>/contentsafety/image:detectIncidents?api-vers
 --data '{
     "image": {
       "url": "<your-blob-storage-url>/image.png",
-      "content": ""
+      "content": "<base64-data>"
     },
     "incidentNames": [
       "<image-incident-name>"
@@ -346,7 +346,7 @@ url = "https://<endpoint>/contentsafety/image:detectIncidents?api-version=2024-0
 payload = json.dumps({
   "image": {
     "url": "<your-blob-storage-url>/image.png",
-    "content": ""
+    "content": "<base64-data>"
   },
   "incidentNames": [
     "<image-incident-name>"