handler.py

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

class EndpointHandler:
    def __init__(self, path=""):
        model_id = "DisgustingOzil/Academic-ShortQA-Generator"
        load_in_4bit = True
        self.tokenizer = AutoTokenizer.from_pretrained(model_id)
        self.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 = self.tokenizer(input_text, return_tensors="pt")
        outputs = self.model.generate(
            **inputs,
            max_length=1000,
            num_return_sequences=1,
        )
        output_text = self.tokenizer.decode(outputs[0], skip_special_tokens=True)
        return [{"generated_text": output_text}]