# model_wrapper.py

import joblib
import numpy as np

LABELS = ['admiration','anger','disgust','fear','hope',
          'joy','love','pride','sadness']

class MyModel:
    def __init__(self):
        bundle = joblib.load("model.pkl")
        self.vectorizer = bundle["vectorizer"]
        self.classifier = bundle["classifier"]

    def predict(self, texts):
        X = self.vectorizer.transform(texts)
        return self.classifier.predict(X)