Update app.py

app.py

@@ -104,7 +104,7 @@ def predict(img) -> Tuple[Dict, float]:
     with torch.inference_mode():
       image_embedding = medsam_model.image_encoder(img_1024_tensor)  # (1, 256, 64, 64)
     # define the inputbox  
-    input_box = np.array([[425, 600, 700, 875]])
+    input_box = np.array([[425, 200, 600, 400]])
     # transfer box_np t0 1024x1024 scale
     box_1024 = input_box / np.array([W, H, W, H]) * 1024