Upload handler.py

handler.py

@@ -3,6 +3,8 @@ from PIL import Image
 from transformers import Blip2Processor, Blip2ForConditionalGeneration
 from typing import Dict, List, Any
 import torch
+import base64
+from io import BytesIO
 
 class EndpointHandler():
     def __init__(self, path=""):
@@ -13,12 +15,19 @@ class EndpointHandler():
         self.model.to(self.device)
 
     def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
-        image_path = data.pop("inputs", data)
+        image_encoded = data.pop("inputs", data)
+
+        # image = Image.open(image_path)
+        image = self.decode_base64_image(image_encoded)
 
-        image = Image.open(image_path)
-        
         processed = self.processor(images=image, return_tensors="pt").to(self.device)
 
         out = self.model.generate(**processed)
 
-        return self.processor.decode(out[0], skip_special_tokens=True)
+        return self.processor.decode(out[0], skip_special_tokens=True)
+    
+    def decode_base64_image(self, image_string):
+        base64_image = base64.b64decode(image_string)
+        buffer = BytesIO(base64_image)
+        image = Image.open(buffer)
+        return image