from NaturalLanguageAnalyzer import NaturalLanguageAnalyzer
from DialoguePolicy import DialoguePolicy
from DialogueStateTracker import DialogueStateTracker
from convlab.dialog_agent import PipelineAgent
from MachineLearningNLG import MachineLearningNLG  # Importujemy nowy komponent NLG

if __name__ == "__main__":
    text = "chciałbym zarezerwować drogi hotel z parkingiem 1 stycznia w Warszawie w centrum"
    nlu = NaturalLanguageAnalyzer()
    dst = DialogueStateTracker()
    policy = DialoguePolicy()
    nlg = MachineLearningNLG()

    agent = PipelineAgent(nlu=nlu, dst=dst, policy=policy, nlg=nlg, name='sys')
    response = agent.response(text)
    print(response)