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()