handler.py

from typing import Dict, List, Any
from transformers import pipeline
import transformers
from PIL import Image
import requests

print('TRANSFORMERS VERSION')
print(transformers.__version__)

class EndpointHandler():
    def __init__(self, path=""):
        # load pipe
        self.pipe = pipeline(task="depth-estimation", model=path)


    def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
        # get inputs
        # image = data.pop("image",data)

        # load image
        url = 'http://images.cocodataset.org/val2017/000000039769.jpg'
        image = Image.open(requests.get(url, stream=True).raw)

        depth = self.pipe(image)["depth"]
        
        return depth