import pickle

## load language detection model
with open('language_model.pkl', 'rb') as f:
    model = pickle.load(f)
## load tfidf vectorizer
with open('tfidf.pkl', 'rb') as f:
    tfidf = pickle.load(f)
## load label encoder
with open('label_encoder.pkl', 'rb') as f:
    enc = pickle.load(f)


class AIlgdetect:
    def checkLg(text):
        yele = [text]
        yele_tf = tfidf.transform(yele)
        answer = model.predict(yele_tf)
        ans = enc.inverse_transform(answer)
        return ans[0]