diff --git a/main.py b/main.py
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+++ b/main.py
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+#!/usr/bin/env python3
+import numpy as np
+import sounddevice as sd
+import matplotlib.pyplot as plt
+from matplotlib.colors import LogNorm
+
+# ========== USER SETTINGS ==========
+samplerate = 48000       # sample rate of your system
+blocksize = 2048         # larger block -> better frequency resolution
+fft_size = 2048          # number of samples per FFT
+n_lines = 300            # number of lines in the waterfall (vertical scrolling)
+freq_max = 10000          # get the full 20khz audio range
+device_name = None       # set to your monitor source if you know it# "None" if you dont (without quotes)
+delay = 0
+# Example: device_name = "alsa_output.pci-0000_00_1b.0.analog-stereo.monitor"
+# Leave as None to be prompted
+
+# ===================================
+
+print("\n=== Available audio devices ===")
+print(sd.query_devices())
+
+if device_name is None:
+    device_name = input("\nEnter the name or number of your Monitor device: ").strip()
+
+window = np.hanning(fft_size)
+freqs = np.fft.rfftfreq(fft_size, d=1/samplerate)
+freq_bins = freqs <= freq_max
+
+waterfall = np.zeros((n_lines, np.sum(freq_bins)))
+fig, ax = plt.subplots(figsize=(10, 6))
+img = ax.imshow(waterfall, origin='lower', aspect='auto', cmap='inferno',
+                extent=[0, freq_max, 0, n_lines],
+                norm=LogNorm(vmin=1e-6, vmax=1))
+ax.set_xlabel("Frequency (Hz)")
+ax.set_ylabel("Time (scrolling up)")
+ax.set_title("Hydrophone Waterfall Spectrogram (0–1 kHz)")
+plt.tight_layout()
+
+def audio_callback(indata, frames, time, status):
+    global delay
+    global waterfall
+    if status:
+        print(status)
+    data = indata[:, 0] * window[:frames]
+    spectrum = np.abs(np.fft.rfft(data))**2
+    spectrum = spectrum[freq_bins]
+    waterfall = np.roll(waterfall, -1, axis=0)
+    waterfall[-1, :] = spectrum
+    if delay > 40:
+    	img.set_data(waterfall)
+    	fig.canvas.draw_idle()
+    	delay = 0
+    else:
+    	delay = delay + 1
+    #plt.pause(0.001)
+
+with sd.InputStream(device=device_name, channels=1,
+                    samplerate=samplerate, blocksize=blocksize,
+                    callback=audio_callback):
+    print("\n✅ Listening to output via:", device_name)
+    print("Close the window or Ctrl+C to stop.\n")
+    plt.show()
+