from convlab.base_models.t5.nlu import T5NLU
import requests


def translate_text(text, target_language='en'):
    url = 'https://translate.googleapis.com/translate_a/single?client=gtx&sl=auto&tl={}&dt=t&q={}'.format(
        target_language, text)
    response = requests.get(url)
    if response.status_code == 200:
        translated_text = response.json()[0][0][0]
        return translated_text
    else:
        return None


class NaturalLanguageAnalyzer:
    info_dict = None
    def predict(self, text, context=None):
        # Inicjalizacja modelu NLU
        model_name = "ConvLab/t5-small-nlu-multiwoz21"
        nlu_model = T5NLU(speaker='user', context_window_size=0, model_name_or_path=model_name)

        # Automatyczne tłumaczenie na język angielski
        translated_input = translate_text(text)

        # Wygenerowanie odpowiedzi z modelu NLU
        nlu_output = nlu_model.predict(translated_input)

        return nlu_output

    def init_session(self):
        # Inicjalizacja sesji (jeśli konieczne)
        pass