input:  def naive_bayes_email_classifier_implementation():
      """Construct a Naive Bayes classifier using Python to classify emails as spam or not spam.
      >>> naive_bayes_email_classifier_implementation()
      from sklearn.naive_bayes import GaussianNB
  
      # 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)
      """
  
output:     from sklearn.naive_bayes import GaussianNB
  
      # 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)