Apache Spark Deep Learning Cookbook

How it works...

We are now ready to generate a sequence of new words, given that we have some seed text :

1. Start by loading the model into memory again using the following command:

 model = load_model('junglebook.h5')

2. Next, load the tokenizer by typing the following command:

 tokenizer = load(open('tokenizer.pkl', 'rb'))

3. Select a seed text randomly by using the following command:

 seed_text = lines[randint(0,len(lines))] print(seed_text + '\n')

4. Finally, a new sequence is generated by using the following command:

 generated = generate_sequence(model, tokenizer, sequence_length,             seed_text, 50) print(generated)

5. On printing the generated sequence, you will see an output similar to the one shown in the following screenshot:

6. The model ...