diff --git a/packages/google-cloud-videointelligence/samples/analyze/README.rst b/packages/google-cloud-videointelligence/samples/analyze/README.rst
index 1b55c7e77812..519822257809 100644
--- a/packages/google-cloud-videointelligence/samples/analyze/README.rst
+++ b/packages/google-cloud-videointelligence/samples/analyze/README.rst
@@ -3,6 +3,10 @@
 Google Cloud Video Intelligence API Python Samples
 ===============================================================================
 
+.. image:: https://gstatic.com/cloudssh/images/open-btn.png
+   :target: https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/GoogleCloudPlatform/python-docs-samples&page=editor&open_in_editor=video/cloud-client/analyze/README.rst
+
+
 This directory contains samples for Google Cloud Video Intelligence API. `Google Cloud Video Intelligence API`_ allows developers to easily integrate feature detection in video.
 
 
@@ -54,6 +58,10 @@ Samples
 analyze
 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
 
+.. image:: https://gstatic.com/cloudssh/images/open-btn.png
+   :target: https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/GoogleCloudPlatform/python-docs-samples&page=editor&open_in_editor=video/cloud-client/analyze/analyze.py;video/cloud-client/analyze/README.rst
+
+
 
 
 To run this sample:
@@ -63,32 +71,33 @@ To run this sample:
     $ python analyze.py
 
     usage: analyze.py [-h] {faces,labels,labels_file,explicit_content,shots} ...
-    
+
     This application demonstrates face detection, label detection,
     explicit content, and shot change detection using the Google Cloud API.
-    
+
     Usage Examples:
-    
+
         python analyze.py faces gs://demomaker/google_gmail.mp4
         python analyze.py labels gs://cloud-ml-sandbox/video/chicago.mp4
         python analyze.py labels_file resources/cat.mp4
         python analyze.py shots gs://demomaker/gbikes_dinosaur.mp4
         python analyze.py explicit_content gs://demomaker/gbikes_dinosaur.mp4
-    
+
     positional arguments:
       {faces,labels,labels_file,explicit_content,shots}
         faces               Detects faces given a GCS path.
         labels              Detects labels given a GCS path.
-        labels_file         Detects labels given a file path.
+        labels_file         Detect labels given a file path.
         explicit_content    Detects explicit content from the GCS path to a video.
         shots               Detects camera shot changes.
-    
+
     optional arguments:
       -h, --help            show this help message and exit
 
 
 
 
+
 The client library
 -------------------------------------------------------------------------------
 
diff --git a/packages/google-cloud-videointelligence/samples/analyze/README.rst.in b/packages/google-cloud-videointelligence/samples/analyze/README.rst.in
index 4249d48aed52..5dc673c1fe1a 100644
--- a/packages/google-cloud-videointelligence/samples/analyze/README.rst.in
+++ b/packages/google-cloud-videointelligence/samples/analyze/README.rst.in
@@ -18,3 +18,5 @@ samples:
   show_help: True
 
 cloud_client_library: true
+
+folder: video/cloud-client/analyze
\ No newline at end of file
diff --git a/packages/google-cloud-videointelligence/samples/analyze/resources/README.md b/packages/google-cloud-videointelligence/samples/analyze/resources/README.md
index a88a180da90b..e33d7137c4f6 100644
--- a/packages/google-cloud-videointelligence/samples/analyze/resources/README.md
+++ b/packages/google-cloud-videointelligence/samples/analyze/resources/README.md
@@ -1,5 +1,10 @@
 # Resources folder for local files
 
+[![Open in Cloud Shell][shell_img]][shell_link]
+
+[shell_img]: http://gstatic.com/cloudssh/images/open-btn.png
+[shell_link]: https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/GoogleCloudPlatform/python-docs-samples&page=editor&open_in_editor=video/cloud-client/analyze/resources/README.md
+
 Copy from Google Cloud Storage to this folder for testing video analysis
 of local files. For `cat.mp4` used in the usage example, run the following
 `gcloud` command.