code: def generate(self, sentences: List[str], device="cpu"):
      assert isinstance(sentences, list) and isinstance(
          sentences[0], str
      ), "Input data should be List[str], but got {}".format(
          type(sentences)
      )
  
      paddle.set_device(device)
      wav_files = []
      for i, sentence in enumerate(sentences):
          wav = self(sentence)
          wav_file = str(
              self.output_dir.absolute() / (str(i + 1) + ".wav")
          )
          sf.write(wav_file, wav.numpy(), samplerate=self.samplerate)
          wav_files.append(wav_file)
  
      logger.info(
          "{} wave files have been generated in {}".format(
              len(sentences), self.output_dir.absolute()
          )
      )
      return wav_files
  
imports: import os
  from pathlib import Path
  from typing import List
  import numpy
  import paddle
  from paddlehub.env import MODULE_HOME
  from paddlehub.module.module import moduleinfo, serving
  from paddlehub.utils.log import logger
  from parakeet.frontend import English
  from parakeet.models.fastspeech2 import FastSpeech2
  from parakeet.models.fastspeech2 import FastSpeech2Inference
  from parakeet.models.parallel_wavegan import PWGGenerator
  from parakeet.models.parallel_wavegan import PWGInference
  from parakeet.modules.normalizer import ZScore
  import soundfile
  from yacs.config import CfgNode
  import yaml
label_desc: Use image node_id 3 for calling the FastSpeech obj's underlying member method code with example usage: obj.generate(sentences, device) and returns: wav_files