Simplify parameters by removing adaptive epsilon controls

app.py

@@ -703,10 +703,8 @@ with gr.Blocks(title="Human Hallucination Prediction", css="""
                         label="Hierarchy Level"
                     )
                 
-                gr.Markdown("### 🎯 Adaptive Gaussian mask (spatially varying constraint)")
-                gr.Markdown("Define where on the image the mask is centered and how large its radius is. Coordinates: **-1** = left/top, **1** = right/bottom, **0** = center.")
                 with gr.Row():
-                    use_adaptive_eps_check = gr.Checkbox(value=False, label="Use adaptive epsilon (stronger/weaker constraint by region)")
+                    use_adaptive_eps_check = gr.State(value=False)
                     use_adaptive_step_check = gr.Checkbox(value=True, label="Use adaptive step size (stronger/weaker updates by region)")
                 with gr.Row():
                     mask_center_x_slider = gr.Slider(minimum=-1.0, maximum=1.0, value=0.5, step=0.05, label="Mask center X")
@@ -714,9 +712,8 @@ with gr.Blocks(title="Human Hallucination Prediction", css="""
                 with gr.Row():
                     mask_radius_slider = gr.Slider(minimum=0.01, maximum=1.0, value=0.2, step=0.01, label="Mask radius (flat region size)")
                     mask_sigma_slider = gr.Slider(minimum=0.05, maximum=1.0, value=0.2, step=0.01, label="Mask sigma (fall-off outside radius)")
-                with gr.Row():
-                    eps_max_mult_slider = gr.Slider(minimum=0.1, maximum=350.0, value=20.0, step=0.1, label="Epsilon: multiplier at center")
-                    eps_min_mult_slider = gr.Slider(minimum=0.1, maximum=10.0, value=1.0, step=0.1, label="Epsilon: multiplier at periphery")
+                eps_max_mult_slider = gr.State(value=1.0)
+                eps_min_mult_slider = gr.State(value=1.0)
                 with gr.Row():
                     step_max_mult_slider = gr.Slider(minimum=0.1, maximum=150.0, value=50.0, step=0.1, label="Step size: multiplier at center")
                     step_min_mult_slider = gr.Slider(minimum=0.1, maximum=10.0, value=0.2, step=0.1, label="Step size: multiplier at periphery")