code: def listener(q):
      import pyaudio
  
      p = pyaudio.PyAudio()
      stream = p.open(
          format=pyaudio.paInt16,
          channels=1,
          rate=RATE,
          input=True,
          frames_per_buffer=CHUNK,
      )
      print("listening")
      for _ in range(0, int(RATE / CHUNK * RECORD_SECONDS)):
          data = stream.read(CHUNK)
          waveform = (np.frombuffer(data, np.int16) / 32768).astype(
              np.float32
          ) * 3
          q.put(waveform)
      print("done listening")
  
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 7 for calling a global function with example usage: listener(q) without return types