How can I process audio using Pyaudio & librosa?

I have this code that uses sounddevice as the microphone recording method.

import threading
import time
import sounddevice as sd
import librosa
import numpy as np
from tensorflow.keras.models import load_model

fs = 44100
seconds = 2

model = load_model("model.h5")

##### LISTENING THREAD #########
def listener():
    while True:
        myrecording = sd.rec(int(seconds * fs), samplerate=fs, channels=1)
        sd.wait()
        mfcc = librosa.feature.mfcc(y=myrecording.ravel(), sr=fs, n_mfcc=40)
        mfcc_processed = np.mean(mfcc.T, axis=0)
        prediction_thread(mfcc_processed)
        time.sleep(0.001)


def voice_thread():
    listen_thread = threading.Thread(target=listener, name="ListeningFunction")
    listen_thread.start()

##### PREDICTION THREAD #############
def prediction(y):
    prediction = model.predict(np.expand_dims(y, axis=0))
    if prediction[:, 1] > 0.96:
        print("ready!")
    else:
        print("not ready")

    

    time.sleep(0.1)`

def prediction_thread(y):
    pred_thread = threading.Thread(target=prediction, name="PredictFunction", args=(y,))
    pred_thread.start()

voice_thread()

However I need to use Pyaudio instead of sounddevice because sounddevice isn't working for me for I have another scripts that I collected data with, sounddevice wasn't catching audio like it should so I used Pyaudio instead and it's working perfectly. I need to do the same with this script and I can't make it work.

this is for a classification model that predicts classes 1 or 0 and these classes/ files are .wav files, it should run until the model predicts class 1 meaning it's always listening until it's not (class 1 predicted).

here's a code I tried using Pyaudio

import threading
import time
import sounddevice as sd
import librosa
import numpy as np
from tensorflow.keras.models import load_model
import pyaudio 

model = load_model("model.h5")

##### LISTENING THREAD #########
def listener():
    seconds = 2
    CHUNK = 1024
    FORMAT = pyaudio.paInt16
    CHANNELS = 1
    RATE = 44100

p=pyaudio.PyAudio()
stream=p.open(format=FORMAT,channels=CHANNELS,rate=RATE,input=True,
              frames_per_buffer=CHUNK)

for i in range(0, int(RATE / CHUNK * seconds)): #go for a few seconds
    data = np.frombuffer(stream.read(CHUNK),dtype=np.int16)
    peak=np.average(np.abs(data))*2
    bars="#"*int(50*peak/2**16)
    arr = np.array("%04d %05d %s"%(i,peak,bars))

   stream.stop_stream()
   stream.close()
    p.terminate()
    mfcc = librosa.feature.mfcc(y=arr, sr=RATE, n_mfcc=40)
    mfcc_processed = np.mean(mfcc.T, axis=0)
    prediction_thread(mfcc_processed)
    time.sleep(0.001)


def voice_thread():
    listen_thread = threading.Thread(target=listener, name="ListeningFunction")
    listen_thread.start()

##### PREDICTION THREAD #############
def prediction(y):
    prediction = model.predict(np.expand_dims(y, axis=0))
    if prediction[:, 1] > 0.96:
        print("ready!")
    else:
        print("not ready")
    

    time.sleep(0.1)

def prediction_thread(y):
    pred_thread = threading.Thread(target=prediction, name="PredictFunction", args=(y,))
    pred_thread.start()

voice_thread()

However it gives this error and I can't seem to process audio correctly so the model can predict on it.

Exception in thread ListeningFunction:
Traceback (most recent call last):
  File "C:\Users\Moham\anaconda3\envs\AI_development\lib\threading.py", line 932, in _bootstrap_inner
    self.run()
  File "C:\Users\Moham\anaconda3\envs\AI_development\lib\threading.py",     line 870, in run
    self._target(*self._args, **self._kwargs)
   File "<ipython-input-14-5fe9df97cdaa>", line 48, in listener
  File "C:\Users\Moham\anaconda3\envs\AI_development\lib\site-packages    \librosa\util\decorators.py", line 88, in inner_f
    return f(*args, **kwargs)
     File "C:\Users\Moham\anaconda3\envs\AI_development\lib\site-   packages \librosa\feature\spectral.py", line 1903, in mfcc
    S = power_to_db(melspectrogram(y=y, sr=sr, **kwargs))
      File "C:\Users\Moham\anaconda3\envs\AI_development\lib\site-packages\librosa\util\decorators.py", line 88, in inner_f
    return f(*args, **kwargs)
  File "C:\Users\Moham\anaconda3\envs\AI_development\lib\site-packages\librosa\feature\spectral.py", line 2043, in melspectrogram
S, n_fft = _spectrogram(
  File "C:\Users\Moham\anaconda3\envs\AI_development\lib\site-packages\librosa\core\spectrum.py", line 2564, in _spectrogram
    stft(
  File "C:\Users\Moham\anaconda3\envs\AI_development\lib\site-packages\librosa\util\decorators.py", line 88, in inner_f
    return f(*args, **kwargs)
  File "C:\Users\Moham\anaconda3\envs\AI_development\lib\site-packages\librosa\core\spectrum.py", line 202, in stft
    util.valid_audio(y, mono=False)
  File "C:\Users\Moham\anaconda3\envs\AI_development\lib\site-packages\librosa\util\decorators.py", line 88, in inner_f
    return f(*args, **kwargs)
  File "C:\Users\Moham\anaconda3\envs\AI_development\lib\site-packages \librosa\util\utils.py", line 275, in valid_audio
    raise ParameterError("Audio data must be floating-point")
librosa.util.exceptions.ParameterError: Audio data must be floating-point