def get_word():
task_id = request.form['task_id']
show_details = request.form['show_details'] == 'true'
record = SubmitRecord.query.filter_by(task_id=task_id).first()
data = json.loads(record.result)
generator = WordGenerator(record.file_name, data, show_details)
generator.generate()
filename = generator.filename
return filename
from word_generator import WordGenerator
import re
import pickle
model = WordGenerator()
word_list = open("first_names.all.txt", "r").read()
word_list = re.sub(r"[^a-zA-Z0-9@#$%\^\\/&\*\(\):;\?!'\-\n]", "",
word_list).split("\n")
model.train(word_list, 3, 2)
pickle.dump(model, open("model.pkl", "wb"))
for approx_length in range(3, 15):
print("generated word of (approximate) length", approx_length, "is",
model.generate(approx_length))