using_bot.py

for _ in range(10):
    try:
        states_values = enc_model.predict( str_to_tokens( input( 'Enter question : ' ) ) )
        empty_target_seq = np.zeros( ( 1 , 1 ) )
        empty_target_seq[0, 0] = tokenizer.word_index['start']
        stop_condition = False
        decoded_translation = ''
        while not stop_condition :
            dec_outputs , h , c = dec_model.predict([ empty_target_seq ] + states_values )
            sampled_word_index = np.argmax( dec_outputs[0, -1, :] )
            sampled_word = None
            for word , index in tokenizer.word_index.items() :
                if sampled_word_index == index :
                    decoded_translation += ' {}'.format( word )
                    sampled_word = word
            
            if sampled_word == 'end' or len(decoded_translation.split()) > maxlen_answers:
                stop_condition = True
                
            empty_target_seq = np.zeros( ( 1 , 1 ) )  
            empty_target_seq[ 0 , 0 ] = sampled_word_index
            states_values = [ h , c ] 

        print( " ".join(decoded_translation.strip().split(" ")[:-1]) )
    except:
        print("Sorry, I don't understand. Please try again.")