File size: 893 Bytes
23ff294 60f69ac 23ff294 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 |
from typing import Dict, List, Any
from transformers import pipeline
class EndpointHandler():
def __init__(self, path=""):
self.pipeline = pipeline("visual-question-answering", model=path)
def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
"""
data args:
inputs (:obj: `str`)
date (:obj: `str`)
Return:
A :obj:`list` | `dict`: will be serialized and returned
"""
# get inputs
inputs = data.pop("inputs", data)
top_k = inputs.get("top_k", 10)
question = inputs.get("question", 'Whats the negative of "You provided a question"?')
image = inputs.get("image", "https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg")
# run normal prediction
prediction = self.pipeline(image, question, top_k=10)
return prediction |