Update handler.py

handler.py

@@ -17,21 +17,12 @@ class EndpointHandler():
         )
         self.processor = AutoProcessor.from_pretrained(model_id)
 
-    def __call__(self, data: Dict[str, Any]):
+    def __call__(self, data: Dict[Any, Any]):
         parameters = data.pop("inputs", data)
-        url = ["http://images.cocodataset.org/val2017/000000039769.jpg", 
-               "http://images.cocodataset.org/val2017/000000039769.jpg",
-                "http://images.cocodataset.org/val2017/000000039769.jpg",
-                "http://images.cocodataset.org/val2017/000000039769.jpg",
-                "http://images.cocodataset.org/val2017/000000039769.jpg",
-                "http://images.cocodataset.org/val2017/000000039769.jpg",
-                "http://images.cocodataset.org/val2017/000000039769.jpg",
-                "http://images.cocodataset.org/val2017/000000039769.jpg",
-                "http://images.cocodataset.org/val2017/000000039769.jpg"]
-        prompt = "USER: <image>\nWhat are these?\nASSISTANT:"
-    
+        prompt = data.pop("prompt", data)
+
         outputs = []
-        for link in url:
+        for link in parameters:
             raw_image = Image.open(requests.get(link, stream=True).raw)
             inputs = self.processor(prompt, raw_image, return_tensors='pt').to(0, torch.float16)
             output = self.model.generate(**inputs, max_new_tokens=200, do_sample=False)