code: def get_flavor_backend(model_uri, **kwargs):
      if model_uri:
          with TempDir() as tmp:
              if ModelsArtifactRepository.is_models_uri(model_uri):
                  underlying_model_uri = (
                      ModelsArtifactRepository.get_underlying_uri(
                          model_uri
                      )
                  )
              else:
                  underlying_model_uri = model_uri
              local_path = _download_artifact_from_uri(
                  append_to_uri_path(
                      underlying_model_uri, MLMODEL_FILE_NAME
                  ),
                  output_path=tmp.path(),
              )
              model = Model.load(local_path)
      else:
          model = None
      flavor_name, flavor_backend = _get_flavor_backend_for_local_model(
          model, **kwargs
      )
      if flavor_backend is None:
          raise Exception(
              "No suitable flavor backend was found for the model."
          )
      _logger.info("Selected backend for flavor '%s'", flavor_name)
      return flavor_backend
  
imports: import logging
  from mlflow.models.model import MLMODEL_FILE_NAME, Model
  from mlflow.store.artifact.models_artifact_repo import ModelsArtifactRepository
  from mlflow.tracking.artifact_utils import _download_artifact_from_uri
  from mlflow.utils.file_utils import TempDir
  from mlflow.utils.uri import append_to_uri_path
label_desc: Use image node_id 2 for calling a global function with example usage: get_flavor_backend(model_uri) and returns: flavor_backend