Update app.py

app.py

@@ -202,7 +202,7 @@ with gr.Blocks() as app:
         x = plt.show()
 
 
-    def predict(image: np.ndarray, iou_thresh: float = 0.5, thresh: float = 0.6, show_cam: bool = False,
+    def predict(image: np.ndarray, iou_thresh: float = 0.5, thresh: float = 0.5, show_cam: bool = False,
                 transparency: float = 0.5) -> List[np.ndarray]:
         with torch.no_grad():
             transformed_image = cfg.grad_cam_transforms(image=image)["image"].unsqueeze(0)