diff --git a/groundstation/auto-tune.py b/groundstation/auto-tune.py
index d83e33cc..b473e96e 100644
--- a/groundstation/auto-tune.py
+++ b/groundstation/auto-tune.py
@@ -2,6 +2,20 @@ from rtlsdr import RtlSdr
 import numpy as np
 import matplotlib.pyplot as plt
 
+if __name__ == "__main__":
+	graph = 'n'
+  center_frequency = 434.9e6
+  if (len(sys.argv)) > 0:
+    print("There are arguments!")
+    center_frequency = float(sys.argv[1])
+    if (center_frequency == 0):
+      center_frequency = 434.9e6
+    if (len(sys.argv)) > 1:
+        print("There are more arguments")
+        if (sys.argv[2] == 'g') or (sys.argv[2] == '-g'):
+          graph = 'y'  
+        
+
 # Create a sample signal (sum of two sine waves)
 sampling_rate = 1024e3 # 250e3 # Hz
 duration = 65536/sampling_rate # 1          # seconds
@@ -15,7 +29,7 @@ sdr = RtlSdr()
 
 # configure device
 sdr.sample_rate = sampling_rate # 250e3 # 2.4e6
-center_frequency = 434.8e6
+#center_frequency = 434.8e6
 sdr.center_freq = center_frequency
 sdr.gain = 4
 sdr.direct_sampling = False
@@ -39,43 +53,44 @@ positive_frequencies_indices = np.where(frequencies >= 0)
 positive_frequencies = frequencies[positive_frequencies_indices]
 amplitude_spectrum = 2/n * np.abs(fft_result[positive_frequencies_indices]) # Normalize for amplitude
 
-# Plotting the results
-plt.figure(figsize=(12, 6))
-
-plt.subplot(1, 2, 1)
-plt.plot(t, signal)
-plt.title('Time Domain Signal')
-plt.xlabel('Time (s)')
-plt.ylabel('Amplitude')
-
-plt.subplot(1, 2, 2)
-plt.stem(positive_frequencies, amplitude_spectrum, markerfmt=" ", basefmt="-b")
-plt.title('Frequency Domain (FFT)')
-plt.xlabel('Frequency (Hz)')
-plt.ylabel('Amplitude')
-plt.grid(True)
-
-plt.tight_layout()
-plt.show()
-
-print(amplitude_spectrum)
+if (graph == 'y'):
+  # Plotting the results
+  plt.figure(figsize=(12, 6))
+  
+  plt.subplot(1, 2, 1)
+  plt.plot(t, signal)
+  plt.title('Time Domain Signal')
+  plt.xlabel('Time (s)')
+  plt.ylabel('Amplitude')
+  
+  plt.subplot(1, 2, 2)
+  plt.stem(positive_frequencies, amplitude_spectrum, markerfmt=" ", basefmt="-b")
+  plt.title('Frequency Domain (FFT)')
+  plt.xlabel('Frequency (Hz)')
+  plt.ylabel('Amplitude')
+  plt.grid(True)
+  
+  plt.tight_layout()
+  plt.show()
+
+# print(amplitude_spectrum)
 x = amplitude_spectrum 
-print(x)
+# print(x)
 min_value = min(x)
 max_value = max(x)
 
 #freq_min = np.argmax(min_value)
-print(np.argmax(x))
-print(np.argmax(x)*(150e3 - 10e3)/(9770 - 709))
-print(sampling_rate)
-print(center_frequency)
+# print(np.argmax(x))
+# print(np.argmax(x)*(150e3 - 10e3)/(9770 - 709))
+# print(sampling_rate)
+# print(center_frequency)
 
 offset = (np.argmax(x)*(150e3 - 10e3)/(9770 - 709))
 freq_max = center_frequency + offset 
 
-print(f"The maximum signal is {max_value} at frequency {freq_max}")
+print(f" {freq_max} {max_value}")
 #print(f"The minimum signal is {min_value} at frequency {freq_min}")
 
-print(min_value)
-print(max_value)
+#print(min_value)
+#print(max_value)