code: def predict(self, text: str) -> str:
      return self.predict_vectors(text, "")["predicted_text"]
  
imports: import os
  import pickle
  from typing import Callable
  from typing import Dict, Union
  import numpy
  import tensorflow
  from headliner.model.bert_model import Transformer, create_masks
  from headliner.model.summarizer import Summarizer
  from headliner.preprocessing.bert_vectorizer import BertVectorizer
  from headliner.preprocessing.preprocessor import Preprocessor
  from headliner.utils.logger import get_logger
label_desc: Use image node_id 5 for calling the BertSummarizer obj's underlying member method code with example usage: obj.predict(text) and returns: self