Prediction

import numpy as np
import tensorflow as tf
from keras import backend as K
q1 = input("Type Question 1 here -->")
q2 = input("Type Question 2 here -->") 
q1 = np.array([[q1],[q1]])
q2 = np.array([[q2],[q2]])


# Using the same tensorflow session for embedding the test string
with tf.Session() as session:
  K.set_session(session)
  session.run(tf.global_variables_initializer())
  session.run(tf.tables_initializer())
  # Loading the save weights
  model.load_weights('drive/My Drive/Colab Notebooks/Northout/model-04-0.84.hdf5')  
  # Predicting the similarity between the two input questions 
  predicts = model.predict([q1, q2], verbose=0)
  predict_logits = predicts.argmax(axis=1)
  print("----FINAL RESULT----")
  if(predict_logits[0] == 1):
    print("****Questions are Similar****")
  else:
    print("****Questions are not Similar****")