Update app.py

app.py

@@ -24,7 +24,15 @@ model_type = "vit_b"
 
 # 2.Model preparation and load save weights
 medsam_model = create_sam_model(model_type,checkpoint,device)
-mask_generator = SamAutomaticMaskGenerator(medsam_model)
+mask_generator = SamAutomaticMaskGenerator(
+    model=medsam_model,
+    points_per_side=32,
+    pred_iou_thresh=0.86,
+    stability_score_thresh=0.92,
+    crop_n_layers=1,
+    crop_n_points_downscale_factor=2,
+    min_mask_region_area=100,  # Requires open-cv to run post-processing
+)
 
 # 3.Predict fn
 def show_anns(anns):