code: def Predict(self, request, context):
      result = None
      try:
          args = json.loads(request.args)
          df = pickle.loads(request.df)
          logger.info(
              "%s.Predict: args - %s",
              self.__class__.__name__,
              args,
          )
  
          handler = self._get_handler(request.context)
          predictions = handler.predict(df, args)
          handler.close()
  
          logger.info(
              "%s.Predict: got predictions - %s(type - %s)",
              self.__class__.__name__,
              predictions,
              type(predictions),
          )
          predictions = pickle.dumps(predictions)
          result = common_pb2.Response(
              type=RESPONSE_TYPE.OK,
              data_frame=predictions,
              query=0,
              error_code=0,
              error_message="",
          )
  
      except Exception:
          msg = traceback.format_exc()
          logger.error(
              "%s.Predict: error - %s", self.__class__.__name__, msg
          )
          result = common_pb2.Response(
              type=RESPONSE_TYPE.ERROR,
              data_frame=None,
              query=0,
              error_code=1,
              error_message=msg,
          )
      return result
  
imports: import json
  import pickle
  import traceback
  from concurrent import futures
  import grpc
  from mindsdb.microservices_grpc.ml import ml_pb2_grpc
  from mindsdb.microservices_grpc.ml import ml_pb2, common_pb2
  from mindsdb.interfaces.storage.model_fs import ModelStorage, HandlerStorage
  from mindsdb.integrations.libs.response import RESPONSE_TYPE
  from mindsdb.interfaces.database.integrations import integration_controller
  from mindsdb.integrations.libs.handler_helpers import get_handler
  from mindsdb.utilities.context import context
  from mindsdb.utilities import log
label_desc: Use image node_id 5 for calling the MLServiceServicer obj's underlying member method code with example usage: obj.Predict(request, context) and returns: result