from typing import Dict, List, Any
from transformers import pipeline, AutoTokenizer, BartForConditionalGeneration

class EndpointHandler():
    def __init__(self, path=""):
        self.model = BartForConditionalGeneration.from_pretrained(path)
        self.tokenizer = AutoTokenizer(path)
        

    def __call__(self, data: str) -> str:
        """
       data args:
            inputs (:obj: `str`)
            date (:obj: `str`)
      Return:
            A :obj:`list` | `dict`: will be serialized and returned
        """
        # get inputs
  

        text_tokenized = self.tokenizer(
        [data], padding="max_length", truncation=True, max_length=1024,return_tensors='pt')
    
        prediction_token = self.model.generate(text_tokenized["input_ids"], max_length = 256, num_beams = 6)
        
        prediction_summary = self.tokenizer.decode(prediction_token[0][2:-1:1])

        return prediction_summary