Used default vmname in comment

Samples/fastai2/fastai2onAzureSpotDSVM.sh

@@ -2,6 +2,7 @@
 # Script to create Azure DSVM Spot instance with NVidia K80 GPU and install fast.ai library
 read -p "Azure VM Name (default: fastai2): " vminput
 vmname=${vminput:=fastai2}
+
 while [ $password != $password2 ] ; do 
 read -s -p "Choose your Password: " password
 echo
@@ -16,11 +17,14 @@ az group create --name $vmname -l $vmzone
 
 echo "Creating Azure Data Science VM $vmname..."
 # You can change the size parameter if you want something other than NVidia K80 GPU instance. 
-# You can find Azure size labels by running Azure CLI command in Cloud Shell "az vm list-sizes -l $vmzone -o table"  
+# You can find Azure size labels by running Azure CLI command in Cloud Shell "az vm list-sizes -l westus2 -o table"  
 az vm create --name $vmname -g $vmname --image microsoft-dsvm:ubuntu-1804:1804:latest  --priority Low --size Standard_NC6 --eviction-policy Deallocate --storage-sku StandardSSD_LRS --admin-user fastuser --admin-password $password
 az vm open-port --name $vmname -g $vmname --port 8000
+
 echo "Installing  fastai v2 and notebooks..."
 az vm extension set --resource-group $vmname --vm-name $vmname --name customScript --publisher Microsoft.Azure.Extensions --protected-settings '{"fileUris": ["https://raw.githubusercontent.com/Azure/DataScienceVM/master/Samples/fastai2/installfastai2.sh"],"commandToExecute": "./installfastai2.sh"}'
 IP=$(az vm show -d -g ${vmname} --name ${vmname} --query publicIps -o tsv)
+
 echo "You can now login to VM with SSH or use Jupyterhub by visiting https://${IP}:8000/ (Ignore self signed cert warnings)"
+
 echo "Login userid is 'fastuser' with password you entered above"