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In this code, we first define our audio parameters: `FORMAT`, `CHANNELS`, `RATE`, and `CHUNK`. Then, we initialize `PyAudio`, open an input stream, and start reading audio data in chunks. The `stream.read()` function reads a chunk of audio data. We convert the raw audio data (which is in bytes) into a NumPy array, which is much easier to work with. The `np.frombuffer()` function is critical here because it's what takes the raw byte data and converts it into numerical data that we can use for analysis and visualization. Finally, we implement a loop that continuously reads audio data. Inside the loop, you would then add your code to process and visualize the `audio_data`. The `try...except` block allows us to gracefully exit the recording loop when the user presses Ctrl+C.
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