import json
from typing import Any, Dict, List

import sklearn
import os
import joblib
import numpy as np



class PreTrainedPipeline():
    def __init__(self, path: str):
        # load the model
        self.model = joblib.load((os.path.join(path, "pipeline.pkl"))

    def __call__(self, inputs: str) -> List[Dict[str, float]]:
        predictions = self.model.predict_proba([inputs])
        labels = []
        for cls in predictions[0]:
          labels.append({
                  "label": f"LABEL_{cls}",
                  "score": predictions[0][cls],
              })
        return labels