Producing spectrogram from microphone

Question

Below I have code that will take input from a microphone, and if the average of the audio block passes a certain threshold it will produce a spectrogram of the audio block (

Answer 1

I think the problem is that you are trying to do the spectrogram of a 30ms audio block, which is so short that you can consider the signal as stationary.
The spectrogram is in fact the STFT, and you can find this also in the Scipy documentation:

scipy.signal.spectrogram(x, fs=1.0, window=('tukey', 0.25), nperseg=None, noverlap=None, nfft=None, detrend='constant', return_onesided=True, scaling='density', axis=-1, mode='psd')

Compute a spectrogram with consecutive Fourier transforms.

Spectrograms can be used as a way of visualizing the change of a nonstationary signal’s frequency content over time.

In the first figure you have four slices which are the result of four consecutive fft on your signal block, with some windowing and overlapping. The second figure has a unique slice, but it depends on the spectrogram parameters you have used.
The point is what do you want to do with that signal. What is the purpose of the algorithm?