Python NeuralCorefの例

コード例 #1

ファイル: __init__.py プロジェクト: zhangxuelei86/Dragonfire

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

コード例 #2

ファイル: __init__.py プロジェクト: yashraj0077/Dragonfire

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