e2e_inference: Updated readme and clear images

Signed-off-by: vbedida79 <veenadhari.bedida@intel.com>

Author: vbedida79

docs/images/Ovms-Gpu-resource-limit.png

@@ -30,11 +30,15 @@ Follow this [link](https://github.com/openvinotoolkit/operator/blob/v1.1.0/docs/
 To enable the interactive mode, the OpenVINO notebook CR needs to be created and integrated with RHODS.  
 1.	Click on the ```create Notebook``` option in this [link](https://github.com/red-hat-data-services/odh-deployer) from the web console and follow these [steps](https://github.com/openvinotoolkit/operator/blob/main/docs/notebook_in_rhods.md) to create the notebook CR.
 2.	Enable Intel Data Center GPU 
+
 **Note:** The  Intel Data Center GPU option is not visible in the RHODS UI at this time of release. For more details, please refer to this [issue](https://github.com/opendatahub-io/odh-dashboard/issues/956). Until this issue is resolved, please follow the steps below to enable the Intel Data Center GPU.
+
 a.	Search for the OpenVINO Notebook Server from web console ```Search -> Notebook -> Jupyter-nb-<ocp-user>``` in the namespace ```rhods-notebooks```.
+
 b.	Navigate to notebook yaml and modify the yaml file according to the example shown below.
-    ```   
-     containers:
+
+ ```   
+    containers:
        name: jupyter-nb-<ocp-user-name>
        resources:
          limits:
@@ -45,7 +49,8 @@ b.	Navigate to notebook yaml and modify the yaml file according to the example s
            cpu: '7'
            gpu.intel.com/i915: '1'
            memory: 56Gi
-     ```                                   			
+  ```  
+
 c.	This operation respawns the notebook server to use the Intel Data Center GPU.
 
 3.	Run sample Jupyter Notebooks.