from typing import Dict, List, Any
from transformers import AutoTokenizer, AutoModelForCausalLM
from accelerate import Accelerator



class EndpointHandler():
    def __init__(self, path=""):
      model_id = "DisgustingOzil/Academic-MCQ-Generator"
      load_in_4bit = True
      max_seq_length = 2048
      tokenizer = AutoTokenizer.from_pretrained(model_id)
      model = AutoModelForCausalLM.from_pretrained(model_id, load_in_4bit=load_in_4bit)

    def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
        input_text = data.pop("input_text",data)
        inputs = tokenizer(input_text, return_tensors="pt")
        outputs = model.generate(
              **inputs,
              max_length=1000,
              num_return_sequences=1,
                )
        output_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
        return output_text