code: def process_model_outputs(
      self, probabilities: torch.Tensor
  ) -> ImageClass:
      image_classes = []
      image_probabilities = []
      # Show top categories per image
      top5_prob, top5_catid = torch.topk(probabilities, 5)
      for i in range(top5_prob.size(0)):
          image_classes.append(self.categories[top5_catid[i]])
          image_probabilities.append(top5_prob[i].item())
  
      return ImageClass(
          classes=image_classes,
          probabilities=image_probabilities,
      )
  
imports: import ray
  from ray import serve
  from ray.serve.config import gRPCOptions
  import time
  from typing import Generator
  from user_defined_protos_pb2 import UserDefinedMessage, UserDefinedMessage2, UserDefinedResponse, UserDefinedResponse2
  import ray
  from ray import serve
  import grpc
  from user_defined_protos_pb2_grpc import UserDefinedServiceStub
  from user_defined_protos_pb2 import UserDefinedMessage
  import grpc
  from ray.serve.generated.serve_pb2_grpc import RayServeAPIServiceStub
  from ray.serve.generated.serve_pb2 import HealthzRequest, ListApplicationsRequest
  import grpc
  from user_defined_protos_pb2_grpc import UserDefinedServiceStub
  from user_defined_protos_pb2 import UserDefinedMessage2
  import grpc
  from user_defined_protos_pb2_grpc import UserDefinedServiceStub
  from user_defined_protos_pb2 import UserDefinedMessage
  import requests
  import torch
  from typing import List
  from PIL import Image
  from io import BytesIO
  from torchvision import transforms
  from user_defined_protos_pb2 import ImageClass, ImageData
  from ray import serve
  from ray.serve.handle import DeploymentHandle
  import grpc
  from user_defined_protos_pb2_grpc import ImageClassificationServiceStub
  from user_defined_protos_pb2 import ImageData
  import grpc
  from user_defined_protos_pb2_grpc import UserDefinedServiceStub
  from user_defined_protos_pb2 import UserDefinedMessage
  from user_defined_protos_pb2 import UserDefinedMessage, UserDefinedResponse
  from ray import serve
  from ray.serve.grpc_util import RayServegRPCContext
  import grpc
  from typing import Tuple
  import grpc
  from user_defined_protos_pb2_grpc import UserDefinedServiceStub
  from user_defined_protos_pb2 import UserDefinedMessage
label_desc: Use image node_id 3 for calling the ImageClassifier obj's underlying member method code with example usage: obj.process_model_outputs(probabilities) and returns: ImageClass