added feature of Frequency Vs Energy Plot of real time audio (#94)

Frequency-Energy-plot.py

@@ -0,0 +1,152 @@
+import PySimpleGUI as sg
+import pyaudio
+import numpy as np
+from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
+import soundfile as sf
+import scipy.fft
+import matplotlib.pyplot as plt
+
+# VARS CONSTS:
+_VARS = {"window": False, "stream": False, "audioData": np.array([]), "audioBuffer": np.array([])}
+
+# pysimpleGUI INIT:
+AppFont = "Helvetica"
+sg.theme("DarkBlue3")
+
+layout = [
+    [
+        sg.Graph(
+            canvas_size=(600, 600),
+            graph_bottom_left=(-2, -2),
+            graph_top_right=(102, 102),
+            background_color="#809AB6",
+            key="graph",
+            tooltip="Frequency vs Energy graph"  # Tooltip added
+        )
+    ],
+    [sg.Text("Progress:", text_color='white', font=('Helvetica', 15, 'bold')), sg.ProgressBar(4000, orientation="h", size=(20, 20), key="-PROG-")],  
+    [
+        sg.Button("Listen", font=AppFont, tooltip="Start listening"),
+        sg.Button("Pause", font=AppFont, disabled=True, tooltip="Pause listening"), 
+        sg.Button("Resume", font=AppFont, disabled=True, tooltip="Resume listening"),
+        sg.Button("Stop", font=AppFont, disabled=True, tooltip="Stop listening"),  
+        sg.Button("Save", font=AppFont, disabled=True, tooltip="Save the plot"),  
+        sg.Button("Exit", font=AppFont, tooltip="Exit the application"), 
+    ],
+]
+
+_VARS["window"] = sg.Window("Mic to Frequency vs Energy plot", layout, finalize=True)  
+graph = _VARS["window"]["graph"]
+
+# INIT vars:
+CHUNK = 1024  # Samples: 1024,  512, 256, 128
+RATE = 44100  # Equivalent to Human Hearing at 40 kHz
+INTERVAL = 1  # Sampling Interval in Seconds -> Interval to listen
+TIMEOUT = 10  # In ms for the event loop
+pAud = pyaudio.PyAudio()
+
+# FUNCTIONS:
+
+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
+
+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)
+
+def pause():
+    if _VARS["stream"].is_active():
+        _VARS["stream"].stop_stream()
+        _VARS["window"]["Pause"].Update(disabled=True)
+        _VARS["window"]["Resume"].Update(disabled=False)
+
+def resume():
+    if not _VARS["stream"].is_active():
+        _VARS["stream"].start_stream()
+        _VARS["window"]["Pause"].Update(disabled=False)
+        _VARS["window"]["Resume"].Update(disabled=True)
+
+def save():
+    # Ask the user for a directory to save the image file
+    folder = sg.popup_get_folder('Please select a directory to save the files')
+    if folder:
+        # Save the figure as an image file
+        fig.savefig(f'{folder}/output.png')
+        sg.popup('Success', f'Image saved as {folder}/output.png')
+        # Save the recorded audio data to a file
+        sf.write(f'{folder}/output.wav', _VARS["audioBuffer"], RATE)
+        sg.popup('Success', f'Audio saved as {folder}/output.wav')
+
+def callback(in_data, frame_count, time_info, status):
+    _VARS["audioData"] = np.frombuffer(in_data, dtype=np.int16)
+    _VARS["audioBuffer"] = np.append(_VARS["audioBuffer"], _VARS["audioData"])
+    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()  
+fig_agg = draw_figure(graph.TKCanvas, fig) 
+
+# MAIN LOOP
+while True:
+    event, values = _VARS["window"].read(timeout=TIMEOUT)
+    if event == "Exit":
+        stop()
+        pAud.terminate()
+        break
+    # for handling the closing of application
+    if event == sg.WIN_CLOSED :
+        _VARS["stream"].stop_stream()
+        _VARS["stream"].close()
+        pAud.terminate()
+        break
+    if event == "Listen":
+        listen()
+        _VARS["window"]["Save"].Update(disabled=False)
+    if event == "Pause":
+        pause()
+    if event == "Resume":
+        resume()
+    if event == "Stop":
+        stop()
+    if event == "Save":
+        save()
+
+    elif _VARS["audioData"].size != 0:
+        _VARS["window"]["-PROG-"].update(np.amax(_VARS["audioData"]))
+        yy = scipy.fft.fft(_VARS["audioData"])  
+        xx = np.linspace(0.0, RATE / 2, CHUNK // 2)  
+        ax.clear()  
+
+        # Calculating the energy 
+        energy = np.abs(yy[:CHUNK // 2]) ** 2
+
+        # Plot frequency vs energy
+        ax.plot(xx, energy, label='Frequency vs Energy')
+
+        # Update axis labels
+        ax.set_ylabel("Energy")
+        ax.set_xlabel("Frequency [Hz]")
+
+        ax.grid(True)  # Enable gridlines
+        ax.legend()  # Add a legend
+        fig_agg.draw()  # redraw the figure