**Custom Music Visualization with Qt and PySide6** In this article, we'll explore how to create a custom music visualization application using Qt and PySide6. The application will utilize the FFT algorithm to analyze the audio signal and display a real-time visualization. **Prerequisites** * Python 3.8+ * PySide6 * Qt 6 * NumPy * PyAudio **Installation** ```bash pip install PySide6 numpy pyaudio ``` **Music Visualization Application** Our application will consist of two main components: the audio analyzer and the visualization widget. ### Audio Analyzer The audio analyzer will utilize the PyAudio library to capture the audio signal and the NumPy library to perform the FFT analysis. ```python import numpy as np import pyaudio class AudioAnalyzer: def __init__(self): self.p = pyaudio.PyAudio() self.stream = self.p.open(format=pyaudio.paInt16, channels=2, rate=44100, input=True, frames_per_buffer=1024) def get_audio_data(self): audio_data = np.frombuffer(self.stream.read(1024), dtype=np.int16) fft_data = np.fft.fft(audio_data) return np.abs(fft_data) def close(self): self.stream.stop_stream() self.stream.close() self.p.terminate() ``` ### Visualization Widget The visualization widget will utilize the Qt for Python library to display the real-time visualization. ```python from PySide6.QtWidgets import QWidget, QApplication from PySide6.QtGui import QPainter, QPen, QBrush from PySide6.QtCore import Qt, QTimer class VisualizationWidget(QWidget): def __init__(self): super().__init__() self.audio_analyzer = AudioAnalyzer() self.fft_data = np.zeros(1024) self.timer = QTimer() self.timer.timeout.connect(self.update) self.timer.start(16) # 60 FPS def paintEvent(self, event): painter = QPainter(self) painter.setRenderHint(QPainter.Antialiasing) # Draw the visualization painter.setPen(QPen(Qt.NoPen)) painter.setBrush(QBrush(Qt.blue)) for i in range(len(self.fft_data)): painter.drawRect(i * 2, 200 - int(self.fft_data[i] * 100), 2, int(self.fft_data[i] * 100)) def update(self): self.fft_data = self.audio_analyzer.get_audio_data() self.update() def closeEvent(self, event): self.timer.stop() self.audio_analyzer.close() event.accept() if __name__ == "__main__": app = QApplication() widget = VisualizationWidget() widget.resize(800, 400) widget.show() app.exec() ``` **Result** The application will display a real-time visualization of the audio signal. **External Links** * [PyAudio](https://people.csail.mit.edu/hubert/pyaudio/) * [NumPy](https://numpy.org/) * [Qt for Python](https://www.qt.io/qt-for-python) **Comment** Please leave a comment below if you have any questions or need further clarification on any of the steps.