code: def __init__(self, cfg, task, model):
      super().__init__()
      self.cfg = cfg
      self.task = task
      self.model = model
      self.model.eval()
      self.generator = self.task.build_generator(
          [self.model], self.cfg.generation
      )
  
file_path: fairseq/fairseq/models/speech_to_text/hub_interface.py
imports: import logging
  from argparse import Namespace
  from typing import Optional, Tuple, Union
  import torch
  import torch.nn
  import torch.nn.functional
  import fairseq.data.audio.feature_transforms.utterance_cmvn
  from fairseq.data import encoders
  from fairseq.data.audio.audio_utils import convert_waveform
  from fairseq.data.audio.audio_utils import get_fbank
  from fairseq.data.audio.audio_utils import get_waveform
  from fairseq.data.audio.speech_to_text_dataset import SpeechToTextDataset
label_desc: Use image node_id 1 to create a new S2THubInterface object from inherited base classes: nn with example: obj = S2THubInterface(cfg, task, model)