code: def inference_invocations(
      predictor_factory,
  ) -> Callable[[], Response]:
      def invocations() -> Response:
          predictor = predictor_factory(request.json)
          req = InferenceRequest.parse_obj(request.json)
  
          predictions = handle_predictions(
              predictor, req.instances, req.configuration
          )
          return jsonify(predictions=encode_json(predictions))
  
      return invocations
  
imports: import json
  import logging
  import multiprocessing
  import os
  import signal
  import time
  import traceback
  from queue import Empty
  from typing import Callable, Iterable, List, NamedTuple, Set, Tuple
  from typing_extensions import Literal
  from flask import Flask, Response, jsonify, request
  from gluonts.dataset.common import ListDataset
  from gluonts.dataset.jsonl import encode_json
  from gluonts.model.forecast import Forecast, Quantile
  from gluonts.pydantic import BaseModel, Field
  from gluonts.shell.util import forecaster_type_by_name
label_desc: Use image node_id 4 for calling a global function with example usage: inference_invocations(predictor_factory) and returns: invocations, jsonify