how to find the probability of each class respect to test data? : Here I am using naive bayse classifier, how to find the probability of each class respect to each test data set?

    #Import Library of Gaussian Naive Bayes model
    from sklearn.naive_bayes import GaussianNB
    import numpy as np
    
    #assigning predictor and target variables
    x= np.array([[-3,7],[1,5], [1,2], [-2,0], [2,3], [-4,0], [-1,1], [1,1], [-2,2], [2,7], [-4,1], [-2,7]])
    y = np.array([3, 3, 3, 3, 4, 3, 3, 4, 3, 4, 4, 4])
    #Create a Gaussian Classifier
    model = GaussianNB()
    # Train the model using the training sets
    model.fit(x, y)
    
    #Predict Output
    predicted= model.predict([[1,2],[3,4]])
    print(predicted)