code: def postprocess(self, inference_output):
      audio_numpy = inference_output[0].data.cpu().numpy()
      path = "/tmp/{}.wav".format(uuid.uuid4().hex)
      write(path, 22050, audio_numpy)
      with open(path, "rb") as output:
          data = output.read()
      os.remove(path)
      return [data]
  
file_path: serve/examples/text_to_speech_synthesizer/waveglow_handler.py
imports: import logging
  import os
  import uuid
  import zipfile
  import numpy
  import torch
  from scipy.io.wavfile import write
  from waveglow_model import WaveGlow
  from ts.torch_handler.base_handler import BaseHandler
label_desc: Use image node_id 7 for calling the WaveGlowSpeechSynthesizer obj's underlying member method code with example usage: obj.postprocess(inference_output) and returns: list