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"