I want to call my python module from the Matlab. I received the error

Error using numpy_ops>init thinc.backends.numpy_ops

Python Error: ValueError: numpy.dtype size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject.

The Python script is as follows

import spacy
def text_recognizer(model_path, text):
try:
    # Load the trained model
    nlp = spacy.load(model_path)
    print("Model loaded successfully.")
    
    # Process the given text
    doc = nlp(text)
    ent_labels = [(ent.text, ent.label_) for ent in doc.ents]
        return ent_labels

The Matlab script is as follows

% Set up the Python environment
        pe = pyenv;
        py.importlib.import_module('final_output');
        
        % Add the directory containing the Python script to the Python path
        path_add = fileparts(which('final_output.py'));
        if count(py.sys.path, path_add) == 0
            insert(py.sys.path, int64(0), path_add);
        end
        % Define model path and text to process
        model_path = 'D:trained_model\output\model-best';
        text = 'Roses are red';
        % Call the Python function
        pyOut = py.final_output.text_recognizer(model_path, text);
        % Convert the output to a MATLAB cell array
        entity_labels = cell(pyOut);
        disp(entity_labels);

I found one solution to update numpy, what I did, but nothing changed. I am using python 3.9 and numpy version 2.0.0

The error was received when I tried to call Python module using Matlab script
How can I fix the issue?

Thank you.