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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] |