code: def predict(self, texts, target_words=None, n=10):
      generated_texts = self._generate(texts, n)
      generated_texts = self._classify(generated_texts)
      if self.threshold:
          return self._filter(generated_texts)
      return generated_texts
  
file_path: nlpaug/nlpaug/model/lang_models/lambada.py
imports: import pandas
  import json
  import os
  from nlpaug.model.lang_models import LanguageModels
label_desc: Use image node_id 7 for calling the Lambada obj's underlying member method code with example usage: obj.predict(texts, target_words, n) and returns: generated_texts, self