Adding peer review feedback

Author: kquinn1204

content/patterns/medical-diagnosis/demo-script.adoc

@@ -31,15 +31,15 @@ The Grafana dashboard offers a visual representation of the AI/ML workflow, incl
 
 This showcase application is deployed with self-signed certificates, which are considered untrusted by most browsers. If valid certificates have not been provisioned for your OpenShift cluster, you will need to manually accept the untrusted certificates by following these steps:
 
-. Accept the SSL certificates on the browser for the dashboard. In the {ocp} web console,  go to the *Netwoorking* > *Routes* for *All Projects*. Click the URL for the `s3-rgw`.
+. Accept the SSL certificates on the browser for the dashboard. In the {ocp} web console,  go to the *Networking* > *Routes* for *All Projects*. Click the URL for the `s3-rgw`.
 +
 image::../../images/medical-edge/storage-route.png[s3-rgw route]
 +
-Ensure that you see some XML and not the access denied error message.
+Ensure that you see XML and not the access denied error message.
 +
 image::../../images/medical-edge/storage-rgw-route.png[link="/images/medical-edge/storage-rgw-route.png"]
 
-. While still looking at *Routes*, change the project to `xraylab-1`. Click the URL for the `image-server`. Ensure that you do not see an access denied error message. You must to see a `Hello world` message.
+. While still looking at *Routes*, change the project to `xraylab-1`. Click the URL for the `image-server` and ensure that you do not see an access denied error message. You should see a `Hello world` message.
 
 This showcase application does not have access to a x-ray machine hanging around that we can use for this demo, so one is emulated by creating an s3 bucket and hosting the x-ray images within it. In the "real world" an x-ray would be taken at an edge medical facility and then uploaded to an OpenShift Data Foundations (ODF) S3 compatible bucket in the Core Hospital, triggering the AI/ML workflow.