code: def activate_prometheus_exporter(app):
      def mlflow_version(_: request):
          return VERSION
  
      return GunicornInternalPrometheusMetrics(
          app,
          export_defaults=True,
          defaults_prefix="mlflow",
          excluded_paths=["/health", "/version"],
          group_by=mlflow_version,
      )
  
imports: from flask import request
  from prometheus_flask_exporter.multiprocess import GunicornInternalPrometheusMetrics
  from mlflow.version import VERSION
label_desc: Use image node_id 1 for calling a global function with example usage: activate_prometheus_exporter(app) and returns: GunicornInternalPrometheusMetrics, VERSION