How to use the essentia.standard.AudioLoader function in essentia

if not(options.vit_pitch_output_file is None):
        print "    estimated pitches in", options.vit_pitch_output_file
    if not(options.sal_output_file is None):
        print "    salience file in ", options.sal_output_file

    if options.pitch_output_file is None:
        options.pitch_output_file = inputAudioFile[:-4]+'_pitches.txt'

    try:
        from essentia.standard import AudioLoader
        loaded = AudioLoader(filename = inputAudioFile)()
        audio = loaded[0]
        Fs = loaded[1]
        nchan = loaded[2]

        loaded = AudioLoader(filename = inputAudioFile)()
        audio = loaded[0]
        if nchan == 1:
            data = audio[:,0].transpose()
        else:
            data = audio

        data = np.double(data)/(1.2*abs(data).max())
    except:
        # Using scipy to import wav
        import scipy.io.wavfile as wav
        Fs, data = wav.read(inputAudioFile)
        # data = np.double(data) /  32768.0 # makes data vary from -1 to 1
        scaleData = 1.2 * data.max() # to rescale the data.
        data = np.double(data) / scaleData # makes data vary from -1 to 1
    options.Fs = Fs
    is_stereo = True

if inputAudioFile[-4:] != ".wav":
        raise ValueError("File not WAV file? Only WAV format support, for now...")

    #print "Writing the different following output files:"
    if not(options.vit_pitch_output_file is None):
        print "    estimated pitches in", options.vit_pitch_output_file
    if not(options.sal_output_file is None):
        print "    salience file in ", options.sal_output_file

    if options.pitch_output_file is None:
        options.pitch_output_file = inputAudioFile[:-4]+'_pitches.txt'

    try:
        from essentia.standard import AudioLoader
        loaded = AudioLoader(filename = inputAudioFile)()
        audio = loaded[0]
        Fs = loaded[1]
        nchan = loaded[2]

        loaded = AudioLoader(filename = inputAudioFile)()
        audio = loaded[0]
        if nchan == 1:
            data = audio[:,0].transpose()
        else:
            data = audio

        data = np.double(data)/(1.2*abs(data).max())
    except:
        # Using scipy to import wav
        import scipy.io.wavfile as wav
        Fs, data = wav.read(inputAudioFile)