File size: 1,013 Bytes
ae68214
 
6b0c845
 
ae68214
 
 
 
 
32f759e
 
ae68214
 
 
 
 
7555f57
ae68214
 
7555f57
 
6b0c845
32f759e
ae68214
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
from typing import Any, Dict
from transformers import Blip2Processor, Blip2ForConditionalGeneration
import io 
from PIL import Image

class EndpointHandler:
    def __init__(self, path=""):
        # load model and processor from path
        self.processor = Blip2Processor.from_pretrained(path)
        self.model = Blip2ForConditionalGeneration.from_pretrained(path)
        self.device = "cuda"

        self.model.to(self.device)

    def __call__(self, data: Dict[str, Any]) -> Dict[str, str]:
        # process input
        # image = data.pop("image", data)
        text = data.pop("text", data)

        image_string = base64.b64decode(data["image"])
        image = Image.open(io.BytesIO(image_string))

        inputs = self.processor(images=image, text=prompt, return_tensors="pt").to(self.device)
        generated_ids = self.model.generate(**inputs)
        generated_text = self.processor.batch_decode(generated_ids, skip_special_tokens=True)[0].strip()

        return [{"answer": generated_text}]