diff --git a/cellpose_napari/_dock_widget.py b/cellpose_napari/_dock_widget.py
index 87723f8..674d065 100644
--- a/cellpose_napari/_dock_widget.py
+++ b/cellpose_napari/_dock_widget.py
@@ -10,6 +10,8 @@
 
 from napari import Viewer
 from napari.layers import Image, Shapes
+from napari.utils.notifications import show_info
+
 from magicgui import magicgui
 import sys
 
@@ -58,7 +60,7 @@ def _deco(func):
                 return func
             return _deco
 
-    @thread_worker
+    @thread_worker(progress=True)
     @no_grad()
     def run_cellpose(image, model_type, custom_model, channels, channel_axis, diameter,
                     resample, cellprob_threshold, 
@@ -69,12 +71,16 @@ def run_cellpose(image, model_type, custom_model, channels, channel_axis, diamet
             flow_threshold = 0.0
             logger.debug('flow_threshold=0 => no masks thrown out due to model mismatch')
         logger.debug(f'computing masks with cellprob_threshold={cellprob_threshold}, flow_threshold={flow_threshold}')
+
+        show_info('(Down)Loading models...')
+
         if model_type=='custom':
             CP = models.CellposeModel(pretrained_model=custom_model, gpu=True)
         else:
             CP = models.CellposeModel(model_type=model_type, gpu=True)
 
-        print(cellprob_threshold, flow_threshold)
+        show_info('Running Segmentation...')
+
         masks, flows_orig, _ = CP.eval(image, 
                                     channels=channels, 
                                     channel_axis=channel_axis,
@@ -94,7 +100,7 @@ def run_cellpose(image, model_type, custom_model, channels, channel_axis, diamet
             flows_orig = flows
         return masks, flows_orig
 
-    @thread_worker
+    @thread_worker(progress=True)
     def compute_diameter(image, channels, model_type):
         from cellpose import models
         model_type0 = model_type if model_type in CP_models[:4] else "cyto3"
@@ -105,7 +111,7 @@ def compute_diameter(image, channels, model_type):
         del CP
         return diam
 
-    @thread_worker 
+    @thread_worker(progress=True)
     def compute_masks(masks_orig, flows_orig, cellprob_threshold, flow_threshold):
         from cellpose.dynamics import resize_and_compute_masks