updating images

Author: aahill

articles/cognitive-services/text-analytics/media/tutorials/power-bi/access-web-content.png

@@ -118,7 +118,7 @@ Now, in the **Home** ribbon, in the **Query** group, click **Advanced Editor** t
 // Returns key phrases from the text in a comma-separated list
 (text) => let
     apikey      = "YOUR_API_KEY_HERE",
-    endpoint    = "https://<your-custom-subdomain>.cognitiveservices.azure.com/text/analytics" + "/v2.1/keyPhrases",
+    endpoint    = "https://<your-custom-subdomain>.cognitiveservices.azure.com/text/analytics" & "/v2.1/keyPhrases",
     jsontext    = Text.FromBinary(Json.FromValue(Text.Start(Text.Trim(text), 5000))),
     jsonbody    = "{ documents: [ { language: ""en"", id: ""0"", text: " & jsontext & " } ] }",
     bytesbody   = Text.ToBinary(jsonbody),
@@ -162,7 +162,8 @@ Click **Edit Credentials,** make sure `Anonymous` is selected in the dialog, the
 > [!NOTE]
 > You select `Anonymous` because the Text Analytics service authenticates you using your access key, so Power BI does not need to provide credentials for the HTTP request itself.
 
-![[setting authentication to anonymous]](../media/tutorials/power-bi/access-web-content.png)
+> [!div class="mx-imgBorder"]
+> ![[setting authentication to anonymous]](../media/tutorials/power-bi/access-web-content.png)
 
 If you see the Edit Credentials banner even after choosing anonymous access, you may have forgotten to paste your Text Analytics access key into the code in the `KeyPhrases` [custom function](#CreateCustomFunction).
 
@@ -221,7 +222,7 @@ The Sentiment Analysis function below returns a score indicating how positive th
 // Returns the sentiment score of the text, from 0.0 (least favorable) to 1.0 (most favorable)
 (text) => let
     apikey      = "YOUR_API_KEY_HERE",
-    endpoint    = "https://<your-custom-subdomain>.cognitiveservices.azure.com/text/analytics/v2.1/sentiment",
+    endpoint    = "https://<your-custom-subdomain>.cognitiveservices.azure.com" & "/text/analytics/v2.1/sentiment",
     jsontext    = Text.FromBinary(Json.FromValue(Text.Start(Text.Trim(text), 5000))),
     jsonbody    = "{ documents: [ { language: ""en"", id: ""0"", text: " & jsontext & " } ] }",
     bytesbody   = Text.ToBinary(jsonbody),
@@ -238,7 +239,7 @@ Here are two versions of a Language Detection function. The first returns the IS
 // Returns the two-letter language code (for example, 'en' for English) of the text
 (text) => let
     apikey      = "YOUR_API_KEY_HERE",
-    endpoint    = "https://<your-custom-subdomain>.cognitiveservices.azure.com/text/analytics/v2.1/languages",
+    endpoint    = "https://<your-custom-subdomain>.cognitiveservices.azure.com" & "/text/analytics/v2.1/languages",
     jsontext    = Text.FromBinary(Json.FromValue(Text.Start(Text.Trim(text), 5000))),
     jsonbody    = "{ documents: [ { id: ""0"", text: " & jsontext & " } ] }",
     bytesbody   = Text.ToBinary(jsonbody),
@@ -252,7 +253,7 @@ in  language
 // Returns the name (for example, 'English') of the language in which the text is written
 (text) => let
     apikey      = "YOUR_API_KEY_HERE",
-    endpoint    = "https://<your-custom-subdomain>.cognitiveservices.azure.com/text/analytics/v2.1/languages",
+    endpoint    = "https://<your-custom-subdomain>.cognitiveservices.azure.com" & "/text/analytics/v2.1/languages",
     jsontext    = Text.FromBinary(Json.FromValue(Text.Start(Text.Trim(text), 5000))),
     jsonbody    = "{ documents: [ { id: ""0"", text: " & jsontext & " } ] }",
     bytesbody   = Text.ToBinary(jsonbody),
@@ -272,7 +273,7 @@ Finally, here's a variant of the Key Phrases function already presented that ret
 // Returns key phrases from the text as a list object
 (text) => let
     apikey      = "YOUR_API_KEY_HERE",
-    endpoint    = "https://<your-custom-subdomain>.cognitiveservices.azure.com/text/analytics/v2.1/keyPhrases",
+    endpoint    = "https://<your-custom-subdomain>.cognitiveservices.azure.com" & "/text/analytics/v2.1/keyPhrases",
     jsontext    = Text.FromBinary(Json.FromValue(Text.Start(Text.Trim(text), 5000))),
     jsonbody    = "{ documents: [ { language: ""en"", id: ""0"", text: " & jsontext & " } ] }",
     bytesbody   = Text.ToBinary(jsonbody),