code: def predict_from_text(
      text,
      speaker,
      tts_speed,
      processor=None,
      model=None,
      vocoder=None,
      return_as_byte=True,
      verbose=False,
  ):
      if speaker == "None":
          return
      if return_as_byte:
          audio0 = prepare_speech(sr=16000)
          yield audio0
      sentence_state = init_sentence_state()
      speaker_embedding = get_speaker_embedding(speaker, model.device)
  
      while True:
          sentence, sentence_state, is_done = get_sentence(
              text,
              sentence_state=sentence_state,
              is_final=False,
              verbose=verbose,
          )
          if sentence is not None:
              audio = _predict_from_text(
                  sentence,
                  speaker,
                  processor=processor,
                  model=model,
                  vocoder=vocoder,
                  speaker_embedding=speaker_embedding,
                  return_as_byte=return_as_byte,
                  tts_speed=tts_speed,
              )
              yield audio
          else:
              if is_done:
                  break
  
      sentence, sentence_state, _ = get_sentence(
          text,
          sentence_state=sentence_state,
          is_final=True,
          verbose=verbose,
      )
      if sentence:
          audio = _predict_from_text(
              sentence,
              speaker,
              processor=processor,
              model=model,
              vocoder=vocoder,
              speaker_embedding=speaker_embedding,
              return_as_byte=return_as_byte,
          )
          yield audio
  
imports: from __future__ import annotations
  import base64
  import io
  import time
  from io import BytesIO
  import numpy
  import scipy
  import wavio
  import soundfile
  import torch
  import librosa
  from src.tts_sentence_parsing import init_sentence_state, get_sentence
  from src.tts_utils import prepare_speech, get_no_audio, chunk_speed_change
label_desc: Use image node_id 9 for calling a global function with example usage: predict_from_text(text, speaker, tts_speed, processor, model, vocoder, return_as_byte, verbose) without return types