code: def segmentclassifyFileWrapper(inputWavFile, model_name, model_type):
      if not os.path.isfile(model_name):
          raise Exception("Input model_name not found!")
      if not os.path.isfile(inputWavFile):
          raise Exception("Input audio file not found!")
      gtFile = ""
      if inputWavFile[-4::] == ".wav":
          gtFile = inputWavFile.replace(".wav", ".segments")
      if inputWavFile[-4::] == ".mp3":
          gtFile = inputWavFile.replace(".mp3", ".segments")
      aS.mid_term_file_classification(
          inputWavFile, model_name, model_type, True, gtFile
      )
  
imports: from __future__ import print_function
  import argparse
  import os
  import numpy
  import glob
  import matplotlib.pyplot
  import ShortTermFeatures
  import MidTermFeatures
  import audioTrainTest
  import audioSegmentation
  import audioVisualization
  import audioBasicIO
  import scipy.io.wavfile
  import matplotlib.patches
label_desc: Use image node_id 17 for calling a global function with example usage: segmentclassifyFileWrapper(inputWavFile, model_name, model_type) without return types