Random Forest: Making prediction on new datapoints

Question

I am new to Machine Learning. But basically I want to train a Random Forest Model to identify the type of pages in many reports. Eg whether a page is a Content page or a glossary

For the training, I have > 1 feature. Some examples
Feature 1: Bag of Word
Feature 2: Boolean value if page contain the word "Content"

Label: 1 for Content page, 2 for Glossary

So after training the model, when I want to predict, do I just feed the entire text of a page into the predict method?

y_pred = RandomForestRegressor.predict(Text of a page)