Update handler.py

handler.py

@@ -18,17 +18,17 @@ class EndpointHandler():
       Return:
             A :obj:`list`:. The list contains items that are dicts should be liked {"label": "XXX", "score": 0.82}
         """
-        inputs = data.pop("inputs", data)
+        inputs_request = data.pop("inputs", data)
 
         # decode base64 image to PIL
-        image = Image.open(BytesIO(base64.b64decode(inputs['image'])))
+        image = Image.open(BytesIO(base64.b64decode(inputs_request['image'])))
 
         # run prediction one image wit provided candiates
-        inputs = self.processor(image, text=inputs["candidates"], return_tensors="pt")
+        inputs = self.processor(image, text=inputs_request["candidates"], return_tensors="pt")
         outputs = self.model(**inputs)
         results = self.processor.post_process_grounded_object_detection(
             outputs,
-            classes=inputs["candidates"],
+            classes=inputs_request["candidates"],
             target_sizes=[image.size[::-1]],
             score_threshold=0.3,
             nms_threshold=0.3,