Recommender System (SVD) with TensorFlow

I'm trying to create a collaborative filtering algorithm to suggest products to certain users.

I started shortly and started working with TensorFlow (I thought it was sufficiently effective and flexible). I found this code that does what I'm interested in, creates the model and train the user IDs, products, and ratings: https://github.com/songgc/TF-recomm

I launched the code and trained the model.

After training the model I would need to make the predictions, that is, get suggestions for each user so that they can be saved in a DB from which I access with a NODE.js application.

How do I retrieve this list of suggestions for each user when the training is done?

if __name__ == '__main__':
    df_train, df_test=get_data()
    svd(df_train, df_test)
    print("Done!")