diff --git a/main.py b/main.py
index 4d947bf..d880ea6 100644
--- a/main.py
+++ b/main.py
@@ -34,37 +34,37 @@ def monitor_pitch(device: int = 5,
             pass
     supported_sample_rates = numpy.array(supported_sample_rates)
     logger.info('Supported rates: {}'.format(supported_sample_rates))
-   
+
     '''
     max_freq < 2 * sample_rate
     min_freq * 2**(1/12) > freq_resolution (for discrimination), more for accuracy...
     freq_resolution <= sample_rate / (samples_per_buffer * num_buffers)
     '''
     freq_resolution = min_freq * 2**(1/12) / 10
-    
+
     rate_is_acceptable = supported_sample_rates >= 2 * max_freq
     sample_rate = int(numpy.min(supported_sample_rates[rate_is_acceptable]))
     num_buffers = int(numpy.ceil(sample_rate / (samples_per_buffer * freq_resolution)))
     samples_per_fft = samples_per_buffer * num_buffers
-    
+
     logger.info('Running on device {} with {} buffers,'.format(device, num_buffers) +
                  ' {} sample rate, {} samples per buffer'.format(
                   device, num_buffers, sample_rate, samples_per_buffer))
     logger.info('Buffers take {:.3g} sec to fully clear'.format(samples_per_fft / sample_rate))
-    
+
     stream = audio.open(format=pyaudio.paInt16,
                         channels=1,
                         rate=sample_rate,
                         input=True,
                         frames_per_buffer=samples_per_buffer)
     stream.start_stream()
-    
-    
+
+
     # Hanning window
     window = (1 - numpy.cos(numpy.linspace(0, 2 * pi, samples_per_fft, False))) / 2
-    
+
     freqs = numpy.fft.fftfreq(samples_per_fft, 1 / sample_rate)
-    
+
     buf = numpy.zeros(num_buffers * samples_per_buffer, dtype=numpy.float32)
     note_names = ['C', 'C#', 'D', 'D#', 'E', 'F', 'F#', 'G', 'G#', 'A', 'A#', 'B']
 
@@ -72,25 +72,25 @@ def monitor_pitch(device: int = 5,
         # Shift the buffer down and new data in
         buf[:-samples_per_buffer] = buf[samples_per_buffer:]
         buf[-samples_per_buffer:] = numpy.fromstring(stream.read(samples_per_buffer), numpy.int16)
-    
+
         fft = numpy.fft.rfft(buf * window)
-    
+
         # Get frequency of maximum response in range
         ind = numpy.abs(fft[1:]).argmax() + 1
         freq = freqs[ind]
         mag = numpy.abs(fft[ind])
-    
+
         # Get note number and nearest note
         q = numpy.log2(freq/440)
         n = 12 * q + 69
         n0 = int(round(n))
-        
+
         delta = n - n0
         logger.info('freq: {:7.2f} Hz   mag:{:7.2f}    note: {:>3s} {:+.2f}'.format(
                 freq, numpy.log10(mag), note_names[n0 % 12] + str(n0//12 - 1), delta))
 
         delta_part = int(delta // 0.1)
-        if delta_part > 0: 
+        if delta_part > 0:
             signal = ' ' * 6 + '+' * delta_part
         elif delta_part == 0:
             signal = ' ' * 5 + '|'
@@ -98,7 +98,7 @@ def monitor_pitch(device: int = 5,
             signal = ' ' * (5 + delta_part) + '-' * delta_part
         logger.info('    {}'.format(signal))
 
-    
+
 if __name__ == '__main__':
     audio = pyaudio.PyAudio()
     logger.info("Available devices:")