Update handler.py

handler.py

@@ -71,7 +71,7 @@ class EndpointHandler:
         pass
 
 
-    def __call__(self, image_file):
+    def __cal__(self, image_file):
         image_array = np.array(image_file)[:, :, ::-1]  # BGR
         predictions, visualized_output = dense_captioning_demo.run_on_image(image_array)
         buffer = BytesIO()
@@ -79,7 +79,7 @@ class EndpointHandler:
         buffer.seek(0)
         detections = {}
         predictions = predictions["instances"].to(torch.device("cpu"))
-    
+
         for box, description, score in zip(
             predictions.pred_boxes,
             predictions.pred_object_descriptions.data,
@@ -96,11 +96,11 @@ class EndpointHandler:
                     "score": float(score),
                 }
             )
-    
+
         output = {
             "dense_captioning_results": {
                 "detections": detections,
             }
         }
-    
-        return Image.open(buffer), output
+
+        return Image.open(buffer), output