Auto-sync from demo at Thu Oct 16 11:44:02 UTC 2025

app.py

@@ -477,7 +477,7 @@ with gr.Blocks(title="GraphGen Demo", theme=gr.themes.Glass(), css=css) as demo:
                 )
                 ece_unit_sampling = gr.Radio(
                     label=_("Unit Sampling Strategy"),
-                    choices=["random", "max_loss", "min_loss"],
+                    choices=["random"],
                     value="random",
                     interactive=True,
                     info=_("Unit Sampling Strategy Info"),
@@ -590,6 +590,19 @@ with gr.Blocks(title="GraphGen Demo", theme=gr.themes.Glass(), css=css) as demo:
             ],
         )
 
+        if_trainee_model.change(
+            lambda on: (
+                gr.update(
+                    choices=["random"]
+                    if not on
+                    else ["random", "max_loss", "min_loss"],
+                    value="random",
+                )
+            ),
+            inputs=if_trainee_model,
+            outputs=ece_unit_sampling,
+        )
+
         upload_file.change(
             preview_file, inputs=upload_file, outputs=[preview_code, preview_df]
         ).then(

webui/app.py

@@ -477,7 +477,7 @@ with gr.Blocks(title="GraphGen Demo", theme=gr.themes.Glass(), css=css) as demo:
                 )
                 ece_unit_sampling = gr.Radio(
                     label=_("Unit Sampling Strategy"),
-                    choices=["random", "max_loss", "min_loss"],
+                    choices=["random"],
                     value="random",
                     interactive=True,
                     info=_("Unit Sampling Strategy Info"),
@@ -590,6 +590,19 @@ with gr.Blocks(title="GraphGen Demo", theme=gr.themes.Glass(), css=css) as demo:
             ],
         )
 
+        if_trainee_model.change(
+            lambda on: (
+                gr.update(
+                    choices=["random"]
+                    if not on
+                    else ["random", "max_loss", "min_loss"],
+                    value="random",
+                )
+            ),
+            inputs=if_trainee_model,
+            outputs=ece_unit_sampling,
+        )
+
         upload_file.change(
             preview_file, inputs=upload_file, outputs=[preview_code, preview_df]
         ).then(