from sqlalchemy import create_engine # the Python SQL toolkit and Object Relational Mapper
from sqlalchemy.orm import sessionmaker # ORM submodule of SQLAlchemy
__version__ = '1.1.1'
DRAGONFIRE_PATH = os.path.dirname(
os.path.abspath(inspect.getfile(inspect.currentframe())))
FNULL = open(os.devnull, 'w')
GENDER_PREFIX = {'male': 'sir', 'female': 'my lady'}
CONVERSATION_ID = uuid.uuid4()
userin = None
nlp = spacy.load('en') # Load en_core_web_sm, English, 50 MB, default model
learner = Learner(nlp)
odqa = ODQA(nlp)
dc = DeepConversation()
coref = NeuralCoref(nlp)
e = Event()
user_answering = {
'status': False,
'for': None,
'reason': None,
'options': None
}
try:
raw_input # Python 2
except NameError:
raw_input = input # Python 3
from sqlalchemy import create_engine # the Python SQL toolkit and Object Relational Mapper
from sqlalchemy.orm import sessionmaker # ORM submodule of SQLAlchemy
__version__ = '1.0.2'
DRAGONFIRE_PATH = os.path.dirname(
os.path.abspath(inspect.getfile(inspect.currentframe())))
FNULL = open(os.devnull, 'w')
GENDER_PREFIX = {'male': 'sir', 'female': 'my lady'}
CONVERSATION_ID = uuid.uuid4()
userin = None
nlp = spacy.load('en') # Load en_core_web_sm, English, 50 MB, default model
learner = Learner(nlp)
omniscient = Omniscient(nlp)
dc = DeepConversation()
coref = NeuralCoref()
e = Event()
user_answering = {
'status': False,
'for': None,
'reason': None,
'options': None
}
try:
raw_input # Python 2
except NameError:
raw_input = input # Python 3