I want to call my python script 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.

How can I fix the issue?I want to call my python script 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.

How can I fix the issue? I want to call my python script 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.

How can I fix the issue? python, matlab MATLAB Answers — New Questions

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