create offiplayergui.py & update offitracker.py
Adds a GUI for easy usage
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offiplayergui.py
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45
offiplayergui.py
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@ -0,0 +1,45 @@
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import PySimpleGUI as sg
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import glob
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import offitracker as offi
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import sys
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import csv
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import numpy as np
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import sounddevice as sd
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import threading
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names = glob.glob("./**/*.csv", recursive=True)
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toplay = ""
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layout = [[sg.Text('Search')],
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[sg.Input(size=(200, 1), enable_events=True, key='-INPUT-')],
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[sg.Listbox(names, size=(200, 10), enable_events=True, key='-LIST-')],
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[sg.Button('Play'), sg.Button('Stop'), sg.Text("",key="file")]]
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window = sg.Window('OffiPlayer', layout,size=(480, 320))
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def playthread(window):
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offi.stop_signal = False
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offi.play_csv_file(toplay)
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window.write_event_value(('-THREAD-', '** DONE **'), 'Done!')
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while True:
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event, values = window.read()
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if event in (sg.WIN_CLOSED, 'Exit'):
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break
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if values['-INPUT-'] != '':
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search = values['-INPUT-']
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new_values = [x for x in names if search in x]
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window['-LIST-'].update(new_values)
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else:
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window['-LIST-'].update(names)
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if event == '-LIST-' and len(values['-LIST-']):
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toplay = values['-LIST-'][0]
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window['file'].update(toplay)
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if event == 'Play':
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window.start_thread(lambda: playthread(window), ('-THREAD-', '-THEAD ENDED-'))
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if event == 'Stop':
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offi.stop_signal = True
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window.close()
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@ -2,7 +2,7 @@ import sys
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import csv
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import numpy as np
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import sounddevice as sd
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import time
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# OffiTracker, the tracker that no one asked for but I made it anyways :3
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# Usage: Make a CSV table in Excel or LibreOffice with the following format:
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# Frequency1 Effect1 Frequency2 Effect2 .... Noise Duration
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@ -12,26 +12,36 @@ import sounddevice as sd
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# Noise = noise amplitude from 0 to 10
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# Duration = tone duration in ms
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# (c) 2024 mueller_minki, Feel free to modify or share.
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stop_signal = False
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def stop_playback():
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stop_signal = True
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def play_square_waves(output_stream, frequencies, effects, duration, amplitude=1, noise_amplitude=0, sample_rate=44100):
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num_waves = len(frequencies)
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t = np.linspace(0, duration / 1000, int(sample_rate * duration / 1000), endpoint=False)
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if stop_signal == True:
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output_stream.stop()
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pass
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else:
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num_waves = len(frequencies)
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t = np.linspace(0, duration / 1000, int(sample_rate * duration / 1000), endpoint=False)
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# Generate and sum square waves for each frequency with corresponding effects
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waves = [amplitude * (effect / 100) * np.sign(np.sin(2 * np.pi * freq * t)) for freq, effect in zip(frequencies, effects)]
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# Generate and sum square waves for each frequency with corresponding effects
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waves = [amplitude * (effect / 100) * np.sign(np.sin(2 * np.pi * freq * t)) for freq, effect in zip(frequencies, effects)]
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# Add optional noise channel
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if noise_amplitude > 0:
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noise = noise_amplitude * np.random.uniform(-1, 1, len(t))
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waves.append(noise)
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# Add optional noise channel
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if noise_amplitude > 0:
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noise = noise_amplitude * np.random.uniform(-1, 1, len(t))
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waves.append(noise)
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combined_wave = np.sum(waves, axis=0)
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combined_wave = np.sum(waves, axis=0)
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combined_wave = combined_wave.astype(np.float32)
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combined_wave = combined_wave.astype(np.float32)
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output_stream.write(combined_wave)
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output_stream.write(combined_wave)
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def play_csv_file(file_path):
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stop_signal = False
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with open(file_path, 'r') as csv_file:
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csv_reader = csv.DictReader(csv_file)
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header = csv_reader.fieldnames
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@ -46,8 +56,8 @@ def play_csv_file(file_path):
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# Check if 'Noise' column exists in the CSV file
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noise_amplitude = float(row.get('Noise', 0))
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play_square_waves(output_stream, frequencies, effects, duration, noise_amplitude=noise_amplitude)
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if stop_signal == False:
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play_square_waves(output_stream, frequencies, effects, duration, noise_amplitude=noise_amplitude)
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if __name__ == "__main__":
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print(' ')
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