readme: ---
  license: cc-by-nc-sa-4.0
  ---
  
  ```python
  from espnet2.bin.tts_inference import Text2Speech
  from espnet2.utils.types import str_or_none
  import argparse, os, time, torch
  import scipy.io.wavfile
  import shutil
  
  text2speech = Text2Speech.from_pretrained(
      vocoder_tag=str_or_none(vocoder_tag),
      model_file = str_or_none(tag),
      train_config = str_or_none(config),
  )
  
  with torch.no_grad():
          start = time.time()
          wav = text2speech(input_text)["wav"]
      rtf = (time.time() - start) / (len(wav) / text2speech.fs)
      print(f"RTF = {rtf:5f}")
      out_file_name = args.out+"/"+str(i)+".wav"
      scipy.io.wavfile.write(out_file_name, text2speech.fs , wav.view(-1).cpu().numpy())
  ```