code: def predict(self, X: pd.DataFrame, **kwargs) -> np.ndarray:
      X = self.preprocess(X, **kwargs)
      pred_labels, pred_probs = self.model.predict(X)
      y_pred = np.array(
          [self._label_inv_map[labels[0]] for labels in pred_labels],
          dtype=self._label_dtype,
      )
      return y_pred
  
imports: import contextlib
  import gc
  import logging
  import os
  import tempfile
  import numpy
  import pandas
  from autogluon.common.features.types import S_TEXT
  from autogluon.common.utils.resource_utils import ResourceManager
  from autogluon.common.utils.try_import import try_import_fasttext
  from autogluon.core.constants import BINARY, MULTICLASS
  from autogluon.core.models import AbstractModel
  from .hyperparameters.parameters import get_param_baseline
label_desc: Use image node_id 7 for calling the FastTextModel obj's underlying member method code with example usage: obj.predict(X) and returns: y_pred