return chmm
if __name__ == '__main__':
file_name = "/home/umberto/Documents/HMMTweetChecker/src/training_sets/DownloadedTweet.txt"
voc_name ="/home/umberto/Documents/HMMTweetChecker/src/vocabularies/Vocabulary.txt"
#model = HMMTrainer(file_name, voc_name).hmm
#print model
#model.save_hmm(None)
model = HMMFile.load("/home/umberto/Documents/HMMTweetChecker/src/HMM_2/")
#print model.vocabulary
# Test for completly random extraction
#test = "Authurities aoe inveNtmgating afteroan kCEzdetaVnee facing pos7ible deportation apparentky kBlledFhimself "
# Test for qwerty sample
test = "Hap0y ValDntGn DaY @MiXelKeObama You jAkeBSv3ryDdaY and eveGy place bet5er"
test = "8aopy alentinVs Day @DichelleObamq YouRmakeSdvery day and every Olace getter "
test = "All acrows Amerida people cEose tI getGinvolveS get engAged aHd stand up Each of ys can majW a dIRdeeence ane alN if us oughE toGtrh woBFT keeO chSngiRg the worlc in 2H1I"
test = "We cSn neveR trUly repSL te EHbt we Iwe our faJlen heroeZ But wd vanTremember them honortheir sacrificdJInQ arfirm"
test = "Helo i m studing for the exams"
#print TweetChecker.dull_check(test, model, model.obs_states, model.vocabulary).replace("[", "\n").replace("]", "\n")
print TweetChecker.sentense_check(test, model, model.obs_states)
