What this message mean? Trying to run a model that was trained in TeachableMachine

I try to run a python program but every time it shows this message:

I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN)to use the following CPU instructions in performance-critical operations: AVX AVX2 To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. WARNING:tensorflow:No training configuration found in the save file, so the model was not compiled. Compile it manually.

The program that I use is:

from keras.models import load_model
from PIL import Image, ImageOps
import numpy as np

# Load the model
model = load_model('path/to/trained/model/keras_model.h5')

# Create the array of the right shape to feed into the keras model
# The 'length' or number of images you can put into the array is
# determined by the first position in the shape tuple, in this case 1.
data = np.ndarray(shape=(1, 224, 224, 3), dtype=np.float32)
# Replace this with the path to your image
image = Image.open('path/to/image/image.png')
#resize the image to a 224x224 with the same strategy as in TM2:
#resizing the image to be at least 224x224 and then cropping from the center
size = (224, 224)
image = ImageOps.fit(image, size, Image.ANTIALIAS)

#turn the image into a numpy array
image_array = np.asarray(image)
# Normalize the image
normalized_image_array = (image_array.astype(np.float32) / 127.0) - 1
# Load the image into the array
data[0] = normalized_image_array

# run the inference
prediction = model.predict(data)
print(prediction)

Both my CPU and GPU are AMD. What am I doing wrong?

source https://stackoverflow.com/questions/69397833/what-this-message-mean-trying-to-run-a-model-that-was-trained-in-teachablemachi