metafresh89/qr-code

1from typing import Dict, List, Any2from PIL import Image3from io import BytesIO4from transformers import pipeline5import base646 7class EndpointHandler():8    def __init__(self, path=""):9        self.pipeline=pipeline("controlnet_qrcode-control_v11p_sd21",model=path)10    11    def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:12        """13       data args:14            images (:obj:`string`)15            candiates (:obj:`list`)16      Return:17            A :obj:`list`:. The list contains items that are dicts should be liked {"label": "XXX", "score": 0.82}18        """19        inputs = data.pop("inputs", data)20        prompts = data.pop("prompt", data)21 22        image = Image.open(BytesIO(base64.b64decode(inputs['image'])))23 24        # run prediction one image wit provided candiates25        prediction = self.pipeline(images=[image], prompt=[prompts])26        return prediction[0]