code: def cut(audio_path, db_thresh=-30, min_len=5000):
      audio, sr = librosa.load(audio_path, sr=None)
      slicer = Slicer(sr=sr, threshold=db_thresh, min_length=min_len)
      chunks = slicer.slice(audio)
      return chunks
  
imports: import math
  from typing import Optional, Tuple
  from tinygrad import Tensor, dtypes
  import librosa
  import soundfile
  import numpy
  import parselmouth
label_desc: Use image node_id 2 for calling a global function with example usage: cut(audio_path, db_thresh, min_len) and returns: chunks