code: def forward(self, text: str):
      phones = self.frontend.phoneticize(text)
      # remove start_symbol and end_symbol
      phones = phones[1:-1]
      phones = [phn for phn in phones if not phn.isspace()]
      phones = [
          phn
          if (phn in self.phone_id_map and phn not in self.punc)
          else "sp"
          for phn in phones
      ]
      phone_ids = [self.phone_id_map[phn] for phn in phones]
      phone_ids = paddle.to_tensor(phone_ids)
  
      with paddle.no_grad():
          mel = self.fastspeech2_inference(phone_ids)
          wav = self.pwg_inference(mel)
  
      return wav
  
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 2 for calling the FastSpeech obj's underlying member method code with example usage: obj.forward(text) and returns: wav