Created the new Python Decibles file

decibles.py

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+import PySimpleGUI as sg
+import pyaudio
+import numpy as np
+import scipy.signal
+import matplotlib.pyplot as plt
+from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
+
+# VARS CONSTS:
+_VARS = {"window": False, "stream": False, "audioData": np.array([])}
+
+# pysimpleGUI INIT:
+AppFont = "Any 16"
+sg.theme("DarkBlue3")
+layout = [
+    [
+        sg.Graph(
+            canvas_size=(500, 500),
+            graph_bottom_left=(-2, -2),
+            graph_top_right=(102, 102),
+            background_color="#809AB6",
+            key="graph",
+        )
+    ],
+    [sg.ProgressBar(4000, orientation="h", size=(20, 20), key="-PROG-")],
+    [
+        sg.Button("Listen", font=AppFont),
+        sg.Button("Stop", font=AppFont, disabled=True),
+        sg.Button("Exit", font=AppFont),
+    ],
+]
+_VARS["window"] = sg.Window(
+    "Mic to spectrogram plot + Max Level", layout, finalize=True
+)
+
+graph = _VARS["window"]["graph"]
+
+# INIT vars:
+CHUNK = 1024
+RATE = 44100
+INTERVAL = 1
+TIMEOUT = 10
+pAud = pyaudio.PyAudio()
+
+try:
+    pAud.get_device_info_by_index(0)
+except pyaudio.CoreError as e:
+    print(f"Error initializing PyAudio: {e}")
+    pAud = None
+
+# PySimpleGUI plots:
+def draw_figure(canvas, figure):
+    figure_canvas_agg = FigureCanvasTkAgg(figure, canvas)
+    figure_canvas_agg.draw()
+    figure_canvas_agg.get_tk_widget().pack(side="top", fill="both", expand=1)
+    return figure_canvas_agg
+
+# pyaudio stream:
+def stop():
+    if _VARS["stream"]:
+        _VARS["stream"].stop_stream()
+        _VARS["stream"].close()
+        _VARS["window"]["-PROG-"].update(0)
+        _VARS["window"]["Stop"].Update(disabled=True)
+        _VARS["window"]["Listen"].Update(disabled=False)
+
+# callback:
+def callback(in_data, frame_count, time_info, status):
+    _VARS["audioData"] = np.frombuffer(in_data, dtype=np.int16)
+    return (in_data, pyaudio.paContinue)
+
+def listen():
+    _VARS["window"]["Stop"].Update(disabled=False)
+    _VARS["window"]["Listen"].Update(disabled=True)
+    _VARS["stream"] = pAud.open(
+        format=pyaudio.paInt16,
+        channels=1,
+        rate=RATE,
+        input=True,
+        frames_per_buffer=CHUNK,
+        stream_callback=callback,
+    )
+    _VARS["stream"].start_stream()
+
+# INIT:
+fig, ax = plt.subplots()  # create a figure and an axis object
+fig_agg = draw_figure(graph.TKCanvas, fig)  # draw the figure on the graph
+
+# MAIN LOOP
+while True:
+    event, values = _VARS["window"].read(timeout=TIMEOUT)
+    if event == sg.WIN_CLOSED or event == "Exit":
+        stop()
+        pAud.terminate()
+        break
+    if event == "Listen":
+        listen()
+    if event == "Stop":
+        stop()
+
+    # Along with the global audioData variable, this
+    # bit updates the spectrogram plot
+
+    elif _VARS["audioData"].size != 0:
+        # Update volume meter
+        _VARS["window"]["-PROG-"].update(np.amax(_VARS["audioData"]))
+        # Compute spectrogram
+        f, t, Sxx_db = scipy.signal.spectrogram(_VARS["audioData"], fs=RATE)
+        # Convert to decibels
+        Sxx_db = 10 * np.log10(Sxx_db)
+        # Plot spectrogram
+        ax.clear()  # clear the previous plot
+        ax.pcolormesh(
+            t, f, Sxx_db, shading="gouraud"
+        )  # plot the spectrogram as a colored mesh
+        ax.set_ylabel("Decibels(dB)")  # set the y-axis label
+        ax.set_xlabel("Time [sec]")  # set the x-axis label
+        ax.set_yticklabels(np.arange(0, 120, 10))  # Adjust the range as needed
+        fig_agg.draw()  # redraw the figure