handler.py

from typing import Dict, List, Any
from PIL import Image
from io import BytesIO
from transformers import pipeline
import base64


class EndpointHandler():
    def __init__(self, path=""):
        self.pipeline = pipeline("zero-shot-image-classification", model=path, device=0)
    
    def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
        inputs = data.pop("inputs", {})
        parameters = data.pop("parameters", {})
        candidate_labels = parameters.pop("candidate_labels", [])
        print("data: ", data)

        # decode base64 image to PIL
        image = Image.open(BytesIO(base64.b64decode(inputs)))

        # run prediction on the image with provided candidates
        prediction = self.pipeline(images=[image], candidate_labels=candidate_labels)
        return prediction[0]