add point for masking

handler.py

@@ -52,11 +52,11 @@ class EndpointHandler():
             raise TypeError("Unsupported input type. Expected a PIL Image or a base64 encoded string.")
         
         # 2. Prepare prompts and process the image
-        # height, width = img.size[1], img.size[0]
-        # input_points = [[[width // 2, height // 2]]]
-        # input_labels = [[1]]
+        height, width = img.size[1], img.size[0]
+        input_points = [[[width // 2, height // 2]]]
+        input_labels = [[1]]
         
-        inputs = self.processor(img, return_tensors="pt").to(device)
+        inputs = self.processor(img, input_points=input_points, input_labels=input_labels, return_tensors="pt").to(device)
         
         # 3. Generate masks
         with torch.no_grad():