input: from sklearn.naive_bayes import GaussianNB
  
  def classify_emails(X_train, y_train, X_test):
      """Create a naive bayes classifier using Python to classify emails as spam or not spam.
      >>> X_train = [[1, 2], [3, 4]]
      >>> y_train = [0, 1]
      >>> X_test = [[1, 1]]
      >>> classify_emails(X_train, y_train, X_test)
      [0]
      """
      # Create a Gaussian Classifier
      model = GaussianNB()
      
      # Train the model using the training sets 
      model.fit(X_train, y_train)
      
      # Predict Output 
      y_pred = model.predict(X_test)
      
      return y_pred
output:     return y_pred