code: def generate(
      self, data: Union[str, List[str]], use_gpu: bool = False
  ):
      assert (
          self._speaker_embedding is not None
      ), f"Set speaker embedding before voice cloning."
  
      if isinstance(data, str):
          data = [data]
      elif isinstance(data, list):
          assert (
              len(data) > 0
              and isinstance(data[0], str)
              and len(data[0]) > 0
          ), f"Input data should be str of List[str]."
      else:
          raise Exception(f"Input data should be str of List[str].")
  
      paddle.set_device("gpu") if use_gpu else paddle.set_device("cpu")
      files = []
      for idx, text in enumerate(data):
          phone_ids = self.frontend.get_input_ids(
              text, merge_sentences=True
          )["phone_ids"][0]
          wav = self.pwg_inference(
              self.fastspeech2_inference(
                  phone_ids, spk_emb=self._speaker_embedding
              )
          )
          output_wav = os.path.join(self.output_dir, f"{idx+1}.wav")
          sf.write(output_wav, wav.numpy(), samplerate=self.sample_rate)
          files.append(output_wav)
  
      return files
  
imports: import os
  from typing import List, Union
  import numpy
  import paddle
  import soundfile
  import yaml
  from yacs.config import CfgNode
  from paddlehub.env import MODULE_HOME
  from paddlehub.module.module import moduleinfo, serving
  from paddlehub.utils.log import logger
  from paddlespeech.t2s.frontend.zh_frontend import Frontend
  from paddlespeech.t2s.models.fastspeech2 import FastSpeech2
  from paddlespeech.t2s.models.fastspeech2 import FastSpeech2Inference
  from paddlespeech.t2s.models.parallel_wavegan import PWGGenerator
  from paddlespeech.t2s.models.parallel_wavegan import PWGInference
  from paddlespeech.t2s.modules.normalizer import ZScore
  from paddlespeech.vector.exps.ge2e.audio_processor import SpeakerVerificationPreprocessor
  from paddlespeech.vector.models.lstm_speaker_encoder import LSTMSpeakerEncoder
label_desc: Use image node_id 4 for calling the VoiceCloner obj's underlying member method code with example usage: obj.generate(data, use_gpu) and returns: files