gib_detect_module.py

#!/usr/bin/python

import pickle
import gib_detect_train

model_data = pickle.load(open('gib_model.pki', 'rb'))

def detect(text):
    model_mat = model_data['mat']
    threshold = model_data['thresh']
    return gib_detect_train.avg_transition_prob(text, model_mat) > threshold