diff --git a/README.md b/README.md
index 06df4ea..50d4fb4 100644
--- a/README.md
+++ b/README.md
@@ -19,6 +19,12 @@ Assuming `python3` is already installed, you can use the following command to in
 pip3 install csv numpy sounddevice
 ```
 
+If you need the GUI, additionally install PySimpleGui:
+
+```bash
+pip3 install PySimpleGui
+```
+
 After that, simply run `python3 offitracker.py` and enjoy. The command can also take a path to a file as a parameter if you wish to use your shells autocompletion.
 
 ____
diff --git a/offiplayergui.py b/offiplayergui.py
new file mode 100644
index 0000000..2c76f6a
--- /dev/null
+++ b/offiplayergui.py
@@ -0,0 +1,45 @@
+import PySimpleGUI as sg
+import glob
+import offitracker as offi
+import sys
+import csv
+import numpy as np
+import sounddevice as sd
+import threading
+
+names = glob.glob("./**/*.csv", recursive=True)
+toplay = ""
+
+layout = [[sg.Text('Search')],
+          [sg.Input(size=(200, 1), enable_events=True, key='-INPUT-')],
+          [sg.Listbox(names, size=(200, 10), enable_events=True, key='-LIST-')],
+          [sg.Button('Play'), sg.Button('Stop'), sg.Text("",key="file")]]
+
+window = sg.Window('OffiPlayer', layout,size=(480, 320))
+
+def playthread(window):
+    offi.stop_signal = False
+    offi.play_csv_file(toplay)
+    window.write_event_value(('-THREAD-', '** DONE **'), 'Done!')
+
+while True:
+    event, values = window.read()
+    if event in (sg.WIN_CLOSED, 'Exit'):
+        break
+    if values['-INPUT-'] != '':
+        search = values['-INPUT-']
+        new_values = [x for x in names if search in x]
+        window['-LIST-'].update(new_values)
+    else:
+        window['-LIST-'].update(names)
+    if event == '-LIST-' and len(values['-LIST-']):
+        toplay = values['-LIST-'][0]
+        window['file'].update(toplay)
+    if event == 'Play':
+        window.start_thread(lambda: playthread(window), ('-THREAD-', '-THEAD ENDED-'))
+    if event == 'Stop':
+        offi.stop_signal = True
+window.close()
+
+
+
diff --git a/offitracker.py b/offitracker.py
index ecd240f..ba8190c 100644
--- a/offitracker.py
+++ b/offitracker.py
@@ -12,26 +12,32 @@ import sounddevice as sd
 # Noise = noise amplitude from 0 to 10
 # Duration = tone duration in ms
 # (c) 2024 mueller_minki, Feel free to modify or share.
+stop_signal = False
 
 def play_square_waves(output_stream, frequencies, effects, duration, amplitude=1, noise_amplitude=0, sample_rate=44100):
-    num_waves = len(frequencies)
-    t = np.linspace(0, duration / 1000, int(sample_rate * duration / 1000), endpoint=False)
+    if stop_signal == True:
+        output_stream.stop()
+    else:
+        num_waves = len(frequencies)
+        t = np.linspace(0, duration / 1000, int(sample_rate * duration / 1000), endpoint=False)
 
-    # Generate and sum square waves for each frequency with corresponding effects
-    waves = [amplitude * (effect / 100) * np.sign(np.sin(2 * np.pi * freq * t)) for freq, effect in zip(frequencies, effects)]
+        # Generate and sum square waves for each frequency with corresponding effects
+        waves = [amplitude * (effect / 100) * np.sign(np.sin(2 * np.pi * freq * t)) for freq, effect in zip(frequencies, effects)]
 
-    # Add optional noise channel
-    if noise_amplitude > 0:
-        noise = noise_amplitude * np.random.uniform(-1, 1, len(t))
-        waves.append(noise)
+        # Add optional noise channel
+        if noise_amplitude > 0:
+            noise = noise_amplitude * np.random.uniform(-1, 1, len(t))
+            waves.append(noise)
 
-    combined_wave = np.sum(waves, axis=0)
+        combined_wave = np.sum(waves, axis=0)
 
-    combined_wave = combined_wave.astype(np.float32)
+        combined_wave = combined_wave.astype(np.float32)
 
-    output_stream.write(combined_wave)
+        output_stream.write(combined_wave)
 
 def play_csv_file(file_path):
+    stop_signal = False
+
     with open(file_path, 'r') as csv_file:
         csv_reader = csv.DictReader(csv_file)
         header = csv_reader.fieldnames
@@ -46,9 +52,9 @@ def play_csv_file(file_path):
 
                 # Check if 'Noise' column exists in the CSV file
                 noise_amplitude = float(row.get('Noise', 0))
-
-                play_square_waves(output_stream, frequencies, effects, duration, noise_amplitude=noise_amplitude)
-
+                if stop_signal == False:
+                    play_square_waves(output_stream, frequencies, effects, duration, noise_amplitude=noise_amplitude)
+                
 if __name__ == "__main__":
     print(' ')
     print('   Mueller\'s Software Domain proudly presents:')
@@ -58,7 +64,7 @@ if __name__ == "__main__":
     print('/    |    \  |   |  |  |  | |    |   |  | \// __ \\\\  \___|    <\  ___/|  | \/')
     print('\_______  /__|   |__|  |__| |____|   |__|  (____  /\___  >__|_ \\\\___  >__|   ')
     print('        \/                                      \/     \/     \/    \/       ')
-    print('                                          Version 1.1')
+    print('                                          Version 1.2')
     if len(sys.argv) > 1:
         csv_file_path = sys.argv[1]
     else: