add doc MaaS_DL_Prediction task (#743)

Co-authored-by: Imen BIZID <imen.bizid@activeeon.com>

src/docs/PML/PMLUserGuide.adoc

@@ -522,7 +522,7 @@ Execute the workflow by setting the different workflow's variables as described
 
 You can also deploy a specific ML model directly from the link:https://try.activeeon.com/studio[Studio Portal].
 
-Drag and drop the `MaaS_ML_Deploy_Model` task from the MaaS_ML bucket.
+Drag and drop the `MaaS_ML_Deploy_Model` task from the Model-As-A-Service bucket.
 
 Execute the workflow and set the different workflow's variables as follows:
 
@@ -568,7 +568,7 @@ Execute the workflow and set the different workflow's variables as follows:
 
 Once the model is deployed, you can also call the service for prediction directly from the link:https://try.activeeon.com/studio[Studio Portal].
 
-Drag and drop the `MaaS_ML_Call_Prediction` task from the MaaS_ML bucket.
+Drag and drop the `MaaS_ML_Call_Prediction` task from the Model-As-A-Service bucket.
 
 Execute the Workflow and set the different workflow's variables as follows:
 
@@ -614,7 +614,7 @@ Execute the Workflow and set the different workflow's variables as follows:
 
 You can also delete the service instance using the link:https://try.activeeon.com/studio[Studio Portal].
 
-Drag and drop the `MaaS_ML_Actions` task from the MaaS_ML bucket.
+Drag and drop the `MaaS_ML_Actions` task from the Model-As-A-Service bucket.
 
 Execute the Workflow and set the different workflow's variables as follows:
 
@@ -1078,7 +1078,7 @@ Execute the workflow by setting the different workflow's variables as described
 
 You can also deploy a specific DL model directly from the link:https://try.activeeon.com/studio[Studio Portal].
 
-Drag and drop the `MaaS_DL_Deploy_Model` task from the MaaS_DL bucket.
+Drag and drop the `MaaS_DL_Deploy_Model` task from the Model-As-A-Service bucket.
 
 Execute the workflow and set the different workflow's variables as follows:
 
@@ -1124,7 +1124,7 @@ Execute the workflow and set the different workflow's variables as follows:
 
 You can also undeploy a specific DL model directly from the link:https://try.activeeon.com/studio[Studio Portal].
 
-Drag and drop the `MaaS_DL_Undeploy_Model` task from the MaaS_DL bucket.
+Drag and drop the `MaaS_DL_Undeploy_Model` task from the Model-As-A-Service bucket.
 
 Execute the Workflow and set the different workflow's variables as follows:
 
@@ -1147,11 +1147,60 @@ Execute the Workflow and set the different workflow's variables as follows:
 | Integer (default=Empty )
 |===
 
+==== Call the Service for Prediction
+
+Once the model is deployed, you can also call the service for prediction directly from the link:https://try.activeeon.com/studio[Studio Portal].
+
+Drag and drop the `MaaS_DL_Call_Prediction` task from the Model-As-A-Service bucket.
+
+Execute the Workflow and set the different workflow's variables as follows:
+
+.MaaS_DL_Call_Prediction variables
+[cols="2,5,2"]
+|===
+| *Variable name* | *Description* | *Type*
+3+^|*Workflow variables*
+| `CONTAINER_PLATFORM`
+| Specifies the type of container platform to be used (no container, docker, singularity, or podman).
+| String (default=docker)
+| `CONTAINER_GPU_ENABLED`
+| If True, containers will run based on images containing libraries that are compatible with GPU.
+| Boolean (default=False)
+| `CONTAINER_IMAGE`
+| Specifies the name of the image that will be used to run the different workflow tasks.
+| String (default=Empty).
+| `SERVICE_TOKEN`
+| A valid token generated by the MaaS_DL Service for user authentication.
+| String (default=Empty).
+3+^|*Task variables*
+|`MaaS_DL_INSTANCE_ENDPOINT`
+| The endpoint of the started service.
+| URL (default=Empty).
+| `PREDICT_ENDPOINT`
+| The base path to access the endpoint for prediction.
+| String (default="/api/predict")
+| `SERVICE_TOKEN`
+| A valid token generated by the MaaS_DL Service for user authentication.
+| String (default=Empty).
+| `MODEL_NAME`
+| The name of the deployed model that will be used for predictions.
+| String (default=Empty)
+| `MODEL_VERSION`
+| The version number of the model that will be used for predictions.
+| Integer (default=Empty)
+| `INSTANCES`
+| Entry data that needs to be scored by the deployed model.
+| String (default=Empty)
+| `CLASS_NAMES`
+| Sorted class names that were used to train the deployed model.
+| String (default=Empty)
+|===
+
 ==== Delete/Finish the Service
 
 You can also delete the service instance using the link:https://try.activeeon.com/studio[Studio Portal].
 
-Drag and drop the `MaaS_DL_Actions` task from the MaaS_DL bucket.
+Drag and drop the `MaaS_DL_Actions` task from the Model-As-A-Service bucket.
 
 Execute the Workflow and set the different workflow's variables as follows: