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from typing import Any, Dict, List
from transformers import AutoModel, AutoTokenizer, pipeline
class EndpointHandler:
def __init__(self, path=""):
# Load the pipeline for the model
model = AutoModel.from_pretrained(
"openbmb/MiniCPM-Llama3-V-2_5-int4",
trust_remote_code=True,
)
tokenizer = AutoTokenizer.from_pretrained(
"openbmb/MiniCPM-Llama3-V-2_5-int4", trust_remote_code=True
)
self.pipeline = pipeline(model=model, tokenizer=tokenizer)
def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
# Get the image and question from the request
image = data.get("image")
question = data.get("question")
# Perform the VQA
return self.pipeline(image, question)
# if __name__ == "__main__":
# handler = EndpointHandler()
# data = {
# "image": "https://pwm.im-cdn.it/image/1524723057/xxl.jpg",
# "question": "Describe the image:",
# }
# print(handler(data))
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