Hide epsilon and simplify hierarchy options

app.py

@@ -47,7 +47,7 @@ examples = [
         "method": "Prior-Guided Drift Diffusion",
         "reverse_diff": {
             "model": "resnet50_robust",
-            "layer": "layer4",
+            "layer": "layer3",
             "initial_noise": 0.5,
             "diffusion_noise": 0.002,
             "step_size": 0.1,
@@ -439,7 +439,7 @@ with gr.Blocks(title="Human Hallucination Prediction", css="""
                 inference_type = gr.State(value="Prior-Guided Drift Diffusion")
                 
                 with gr.Row():
-                    eps_slider = gr.Slider(minimum=0.0, maximum=40.0, value=40.0, step=0.01, label="Epsilon (Stimulus Fidelity)")
+                    eps_slider = gr.State(value=40.0)  # fixed epsilon; hidden in simple UI
                     iterations_slider = gr.Slider(minimum=1, maximum=600, value=500, step=1, label="Number of Iterations")
                 
                 # Keep these internal defaults fixed (not user-editable in simple UI)
@@ -450,7 +450,7 @@ with gr.Blocks(title="Human Hallucination Prediction", css="""
                     step_size_slider = gr.Slider(minimum=0.01, maximum=2.0, value=1.0, step=0.01, 
                                                label="Prior strength")
                     layer_choice = gr.Dropdown(
-                        choices=["all", "conv1", "bn1", "relu", "maxpool", "layer1", "layer2", "layer3", "layer4", "avgpool"],
+                        choices=[("Higher", "all"), ("Intermediate", "layer3"), ("Lower", "layer1")],
                         value="all",
                         label="Hierarchy Level"
                     )