code: def log_promptflow_example_model():
      model = get_promptflow_example_model()
      with mlflow.start_run():
          logged_model = mlflow.promptflow.log_model(
              model, "promptflow_model"
          )
      return logged_model
  
file_path: mlflow/tests/promptflow/test_promptflow_model_export.py
imports: import json
  from pathlib import Path
  import pytest
  from promptflow import load_flow
  from promptflow._sdk.entities._flow import Flow
  from pyspark.sql import SparkSession
  import mlflow
  from mlflow import MlflowException
  from mlflow.deployments import PredictionsResponse
  from mlflow.pyfunc.scoring_server import CONTENT_TYPE_JSON
  from tests.helper_functions import pyfunc_serve_and_score_model
label_desc: Use image node_id 5 for calling a global function with example usage: log_promptflow_example_model() and returns: logged_model