from kochat.proc import DistanceClassifier, GensimEmbedder, EntityRecognizer, SoftmaxClassifier
from konlpy.tag import Okt as Mecab
from sprinkle.scenarios.scenarios import call, schedule
dataset = Dataset(ood=True)
emb = GensimEmbedder(model=embed.FastText())
clf = DistanceClassifier(
model=intent.CNN(dataset.intent_dict),
loss=CenterLoss(dataset.intent_dict),
)
rcn = EntityRecognizer(
model=entity.LSTM(dataset.entity_dict),
loss=CRFLoss(dataset.entity_dict)
)
kochat = KochatApi(
dataset=dataset,
embed_processor=(emb, False),
intent_classifier=(clf, False),
entity_recognizer=(rcn, False),
scenarios=[
call, schedule
]
)
class VoiceCommandController():
def __init__(self):
from sprinkle.scenarios.scenarios import call, schedule
from sprinkle.controllers.UserController import UserController
from sprinkle.controllers.VoiceCommandController import VoiceCommandController
userController = UserController()
voiceCommandControler = VoiceCommandController()
dataset = Dataset(ood=True)
emb = GensimEmbedder(model=embed.FastText())
clf = DistanceClassifier(
model=intent.CNN(dataset.intent_dict),
loss=CenterLoss(dataset.intent_dict),
)
rcn = EntityRecognizer(model=entity.LSTM(dataset.entity_dict),
loss=CRFLoss(dataset.entity_dict))
kochat = KochatApi(dataset=dataset,
embed_processor=(emb, False),
intent_classifier=(clf, False),
entity_recognizer=(rcn, False),
scenarios=[call, schedule])
# @kochat.app.route('/')
# def index():
# # userController.searchUserById("1234567890")
# return "adsf"
@kochat.app.route('/users/init', methods=['POST'])