docstr: Convert input string to phones and tones.
docstr_tok: ["Convert","input","string","to","phones","and","tones","."]
code: def _convert_text_to_input(self, text: str):
      """
      Convert input string to phones and tones.
      """
      phones, tones = convert_sentence(text)
      phones = np.array(
          [voc_phones.lookup(item) for item in phones], dtype=np.int64
      )
      tones = np.array(
          [voc_tones.lookup(item) for item in tones], dtype=np.int64
      )
      return phones, tones
  
imports: import importlib
  import os
  from typing import List
  import numpy
  import paddle
  import paddle.nn
  from paddlehub.env import MODULE_HOME
  from paddlehub.module.module import moduleinfo
  from paddlehub.utils.log import logger
  from paddlenlp.data import Pad
  from parakeet.models import ConditionalWaveFlow, Tacotron2
  from parakeet.models.lstm_speaker_encoder import LSTMSpeakerEncoder
  import soundfile
  from .audio_processor import SpeakerVerificationPreprocessor
  from .chinese_g2p import convert_sentence
  from .preprocess_transcription import voc_phones, voc_tones, phone_pad_token, tone_pad_token
label_desc: Use image node_id 5 for calling the VoiceCloner obj's underlying member method code with example usage: obj._convert_text_to_input(text) and returns: phones,  tones