pyobjc-framework-coreml

import CoreML import Foundation # Often needed for NSURL, NSBundle etc. import os # --- This example demonstrates attempting to load a CoreML model --- # In a real scenario, 'your_model.mlmodel' would be a path to an actual Core ML model file. # For demonstration, we'll try a dummy path or look for a model in the app bundle. # Replace with the actual path to your .mlmodel file or ensure it's in your app bundle. # Option 1: Direct path (replace with actual path) model_path = os.environ.get('COREML_MODEL_PATH', '/tmp/your_model.mlmodel') # Option 2: Attempt to find in the main bundle (common for macOS apps) # mainBundle = Foundation.NSBundle.mainBundle() # model_path_from_bundle = mainBundle.pathForResource_ofType_("YourModelName", "mlmodel") # if model_path_from_bundle: # model_path = model_path_from_bundle print(f"Attempting to load CoreML model from: {model_path}") try: # CoreML methods often follow Objective-C conventions, e.g., 'methodName_error_' # for methods that take an NSError** parameter in Objective-C. # The PyObjC bridge translates this into a tuple (result, error_object). model, error = CoreML.MLModel.modelWithContentsOfURL_error_( Foundation.NSURL.fileURLWithPath_(model_path), None ) if error: print(f"Error loading model: {error.localizedDescription()}") elif model: print(f"Successfully loaded CoreML model: {model}") print(f"Model description: {model.modelDescription()}") # You can now interact with the model, e.g., for predictions: # input_features = CoreML.MLFeatureProvider.alloc().init() # prediction, pred_error = model.predictionFromFeatures_error_(input_features, None) # if not pred_error: print(f"Prediction: {prediction}") else: print("Failed to load model without explicit error or model object.") except Exception as e: print(f"An unexpected Python exception occurred: {e}") print(f"\nAccessing MLModel class directly: {CoreML.MLModel}")