17 lines
678 B
Python
17 lines
678 B
Python
from NaturalLanguageAnalyzer import NaturalLanguageAnalyzer
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from DialoguePolicy import DialoguePolicy
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from DialogueStateTracker import DialogueStateTracker
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from convlab.dialog_agent import PipelineAgent
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from MachineLearningNLG import MachineLearningNLG # Importujemy nowy komponent NLG
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if __name__ == "__main__":
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text = "chciałbym zarezerwować drogi hotel z parkingiem 1 stycznia w Warszawie w centrum"
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nlu = NaturalLanguageAnalyzer()
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dst = DialogueStateTracker()
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policy = DialoguePolicy()
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nlg = MachineLearningNLG()
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agent = PipelineAgent(nlu=nlu, dst=dst, policy=policy, nlg=nlg, name='sys')
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response = agent.response(text)
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print(response)
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