Update handler.py

handler.py

@@ -7,21 +7,22 @@ from transformers import AutoProcessor, LlavaForConditionalGeneration
 class EndpointHandler():
     def __init__(self, path=""):
         model_id = ""
-        model = LlavaForConditionalGeneration.from_pretrained(
+        self.model = LlavaForConditionalGeneration.from_pretrained(
         model_id, 
         torch_dtype=torch.float16, 
         low_cpu_mem_usage=True, 
         ).to(0)
-        processor = AutoProcessor.from_pretrained(model_id)
+        self.processor = AutoProcessor.from_pretrained(model_id)
 
     def __call__(self, data: Dict[str, Any]):
         parameters = data.pop("inputs",data)
         inputs = data.pop("inputs", data)
         if parameters is not None:
             url = "http://images.cocodataset.org/val2017/000000039769.jpg"
-            image = Image.open(requests.get(url, stream=True).raw)
+            raw_image = Image.open(requests.get(url, stream=True).raw)
+            inputs = self.processor(prompt, raw_image, return_tensors='pt').to(0, torch.float16)
             prompt = "USER: <image>\nWhat are these?\nASSISTANT:"
-            output = model.generate(**inputs, max_new_tokens=200, do_sample=False)
+            output = self.model.generate(**inputs, max_new_tokens=200, do_sample=False)
         return output