code: def get_exp(self, index):
      try:
          # index 0 = index of the image
          # index 1 = index of the object
          if (
              self.dashboard_input.dataset.task_type
              == "object_detection"
          ):
              exp = self._analysis.explainer.compute_single_explanation(
                  index=index[0], object_index=index[1]
              )
          else:
              exp = self._analysis.explainer.compute_single_explanation(
                  index
              )
          return {WidgetRequestResponseConstants.data: exp}
      except Exception as e:
          print(e)
          traceback.print_exc()
          e_str = _format_exception(e)
          return {
              WidgetRequestResponseConstants.error: "Failed to generate image explanation,"
              "inner error: {}".format(e_str),
              WidgetRequestResponseConstants.data: [],
          }
  
imports: import traceback
  from typing import List, Optional
  import numpy
  import pandas
  from erroranalysis._internal.constants import display_name_to_metric
  from raiutils.cohort import Cohort, CohortFilter, CohortFilterMethods
  from raiutils.data_processing import convert_to_list, serialize_json_safe
  from raiutils.exceptions import UserConfigValidationException
  from raiutils.models import ModelTask, is_classifier
  from raiwidgets.constants import ErrorMessages
  from raiwidgets.error_handling import _format_exception
  from raiwidgets.interfaces import WidgetRequestResponseConstants
  from responsibleai import RAIInsights
  from responsibleai._internal.constants import ManagerNames
label_desc: Use image node_id 10 for calling the ResponsibleAIDashboardInput obj's underlying member method code with example usage: obj.get_exp(index) and returns: dict, dict