code: def __init__(self, dims, batch_size=1):
      self.encoder = AudioEncoder(**dims)
      self.decoder = TextDecoder(**dims)
      self.is_multilingual = dims["n_vocab"] == 51865
      self.batch_size = batch_size
  
imports: import sys
  import pathlib
  import base64
  import multiprocessing
  import numpy
  from typing import Optional, Union, Literal, List
  from tinygrad.jit import TinyJit
  from tinygrad.nn.state import torch_load, load_state_dict
  from tinygrad.helpers import getenv, DEBUG, CI, fetch
  import tinygrad.nn
  from tinygrad.shape.symbolic import Variable
  from tinygrad.tensor import Tensor
  import itertools
  import librosa
label_desc: Use image node_id 1 to create a new Whisper object  with example: obj = Whisper(dims, batch_size)