def setup(): setup_nltk() clf = classify_model() setup_database() learn_response = 0 return clf, learn_response
from utilities import parse_sentence from utilities import classify_model from utilities import classify_sentence from utilities import setup_database from utilities import add_to_database from utilities import get_chat_response from utilities import get_question_response java_options = '-Xmx1024m' clf = classify_model() setup_database() B = "Hi! I'm Mapbot!" while True: print('Mapbot: ' + B) H = input("You: ") if H == " ": #empty input B = "Bye! I'll miss you!" print('Mapbot: ' + B) break subj = set() obj = set() verb = set() triples, root = parse_sentence(H) triples = list(triples) for t in triples: if t[0][1][:2] == 'VB': verb.add(t[0][0]) relation = t[1]
def train(): setup_database()