def trainIntents():
if client is not None:
intents = Trainer("intents", client)
intents.start_training()
if 'intents' not in cache.keys():
cache['intents'] = Classifier('intents', client)
else:
cache['intents'].load()
return jsonify([])
else:
print("NO DATABASE")
return "NO DATABASE"
def trainEntity():
intent = request.json['intent']
if client is not None:
classifier_name = "entities@" + intent
entities = Trainer(classifier_name, client)
entities.start_training()
if classifier_name not in cache.keys():
cache[classifier_name] = Classifier(classifier_name, client)
else:
cache[classifier_name].load()
return jsonify([])
else:
print("NO DATABASE")
return "NO DATABASE"
