code: def generate(self, texts):
      # Add 0x02 between characters to match the format of training data,
      # otherwise the length of prediction results will not match the input string
      # if the input string contains non-Chinese characters.
      formatted_text_a = list(map("\002".join, texts))
  
      # Use the appropriate tokenizer to preprocess the data
      # For ernie_tiny, it use BertTokenizer too.
      tokenizer = hub.BertTokenizer(
          vocab_file=self.module.get_vocab_path()
      )
      encoded_data = [
          tokenizer.encode(text=text, max_seq_len=128)
          for text in formatted_text_a
      ]
      results = self.gen_task.predict(
          data=encoded_data,
          label_list=self.label_list,
          accelerate_mode=False,
      )
      results = [
          ["".join(sample_result) for sample_result in sample_results]
          for sample_results in results
      ]
      return results
  
file_path: PaddleHub/modules/text/text_generation/ernie_tiny_couplet/module.py
imports: import os
  import ast
  import argparse
  import paddlehub
  from paddlehub.module.module import moduleinfo, serving, runnable
  from paddlehub.module.nlp_module import DataFormatError
label_desc: Use image node_id 2 for calling the ErnieTinyCouplet obj's underlying member method code with example usage: obj.generate(texts) and returns: results