from numpy import array import numpy as np import tensorflow as tf from tensorflow.keras.preprocessing.text import tokenizer_from_json from predict import Prediction import json # Load saved tokenizer with open('tokenizer_30000.json') as f: data = json.load(f) tokenizer = tokenizer_from_json(data) max_length = 179 pred = Prediction(tokenizer, max_length) pred.load_model() #we were laughing , haha thats funny but then we were saying damn it all , what kind of example is this guy setting for the kids ? #this is just great , seth shouted . #he might be into it . #just try to be less annoying than usual #this may say something important # Predict for given sequence print(pred.predict_sequnce("just try to be less annoying than usual", 100))