diff --git a/offitracker.py~ b/offitracker.py~
deleted file mode 100644
index b32f3ea..0000000
--- a/offitracker.py~
+++ /dev/null
@@ -1,124 +0,0 @@
-import sys
-import csv
-import numpy as np
-import sounddevice as sd
-import os
-
-# OffiTracker, the tracker that no one asked for but I made it anyways :3
-# This has started off as a silly little joke program, I never thought it would turn into such a complex little beast of a python project.
-# (c) 2024 mueller_minki, Feel free to modify or share.
-
-stop_signal = False
-
-noise_data_cache = {}  # Cache to store loaded noise data
-
-def load_noise_data(noise_type, sample_rate):
-    amplitude_factor = 0.5  # Adjust the amplitude factor as needed
-    noise_file_path = os.path.join('drums', f'drum{noise_type}.txt')
-
-    try:
-        with open(noise_file_path, 'r') as file:
-            noise_data = np.array(eval(file.readline()))
-            return amplitude_factor * noise_data
-    except Exception as e:
-        print(f"Error loading noise data from {noise_file_path}: {e}")
-        return None
-
-def load_all_noise_data():
-    global noise_data_cache
-    for i in range(1, 6):
-        noise_data_cache[i] = load_noise_data(i, 44100)
-
-def generate_noise(noise_type):
-    return noise_data_cache.get(noise_type, None)
-
-def play_square_waves(output_stream, frequencies, effects, duration, amplitude=1, noise_amplitude=0, sample_rate=44100):
-    global stop_signal
-    if stop_signal:
-        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)]
-
-        # Add optional noise channel based on the noise column values
-        if noise_amplitude > 0:
-            noise_type = int(noise_amplitude)
-            noise = generate_noise(noise_type)
-
-            if noise is not None:
-                # Pad the noise with zeros to match the duration of the other waves
-                noise = np.concatenate((noise, np.zeros(len(t) - len(noise))))
-                waves.append(noise)
-
-        combined_wave = np.sum(waves, axis=0)
-        combined_wave = combined_wave.astype(np.float32)
-
-        output_stream.write(combined_wave)
-
-def play_csv_file(file_path, start_row=None, stop_row=None):
-    global stop_signal
-    global noise_data_cache
-    if 'playback_row_index' in locals():
-        global playback_row_index
-
-    # Load all noise data into the cache
-    load_all_noise_data()
-
-    with open(file_path, 'r') as csv_file:
-        csv_reader = csv.DictReader(csv_file)
-        header = csv_reader.fieldnames
-        num_columns = len(header)
-        num_pairs = (num_columns - 1) // 2
-        total_rows = sum(1 for _ in csv_reader)  # Count the total number of rows
-
-        # Reset the file pointer to the beginning
-        csv_file.seek(0)
-        next(csv_reader)  # Skip the header
-
-        with sd.OutputStream(channels=1) as output_stream:
-            for idx, row in enumerate(csv_reader):
-                if start_row is not None and idx < start_row:
-                    continue
-                if stop_row is not None and idx > stop_row:
-                    break
-
-                frequencies = [float(row[f'Frequency{i}']) for i in range(1, num_pairs + 1)]
-                effects = [float(row[f'Effect{i}']) for i in range(1, num_pairs + 1)]
-                duration = float(row['Duration'])
-
-                # Check if 'Noise' column exists in the CSV file
-                noise_amplitude = float(row.get('Noise', 0))
-                
-                # Update row info
-                if 'playback_row_index' in globals():
-                    playback_row_index = idx
-                else:
-                    print(f"\rRow {idx + 1} of {total_rows}", end='', flush=True)
-
-                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:')
-    print('________   _____  _____._____________                     __                 ')
-    print('\_____  \_/ ____\/ ____\__\__    ___/___________    ____ |  | __ ___________ ')
-    print(' /   |   \   __\\\\   __\|  | |    |  \_  __ \__  \ _/ ___\|  |/ // __ \_  __ \\')
-    print('/    |    \  |   |  |  |  | |    |   |  | \// __ \\\\  \___|    <\  ___/|  | \/')
-    print('\_______  /__|   |__|  |__| |____|   |__|  (____  /\___  >__|_ \\\\___  >__|   ')
-    print('        \/                                      \/     \/     \/    \/       ')
-    print('                                          Version 1.4')
-    if len(sys.argv) > 1:
-        csv_file_path = sys.argv[1]
-    else:
-        csv_file_path = input("Choose a CSV file: ")
-
-    # These should not be set in player mode
-    start_row = None
-    stop_row = None
-
-    play_csv_file(csv_file_path, start_row=start_row, stop_row=stop_row)
-    print("\nPlayback complete.")