handler.py

from typing import Dict, List, Any
import numpy as np
from transformers import CLIPProcessor, CLIPModel
from PIL import Image
from io import BytesIO
import base64

class EndpointHandler():
  def __init__(self, path=""):
    self.model = CLIPModel.from_pretrained("openai/clip-vit-base-patch32")
    self.processor = CLIPProcessor.from_pretrained("openai/clip-vit-base-patch32")
    
    
  
  def __call__(self, data: Dict[str,Any]) -> List[Dict[str,Any]]:
    inputs = data.get("inputs")
    text = inputs.get("text")
    imageData = inputs.get("image")
    image = Image.open(BytesIO(base64.b64decode(imageData)))
    inputs = self.processor(text=text, images=image, return_tensors="pt",padding=True)
    outputs = self.model(**inputs)
    embeddings =outputs.image_embeds.detach().numpy().flatten().tolist()
    return { "embeddings": embeddings}