Update app.py

app.py

@@ -27,7 +27,7 @@ def run_auto_suite_display(model_id, num_steps, seed, experiment_name, progress=
     """Wrapper, der die speziellen Plots für die verschiedenen Experimente handhaben kann."""
     try:
         summary_df, plot_df, all_results = run_auto_suite(model_id, int(num_steps), int(seed), experiment_name, progress)
-
+        
         dataframe_component = gr.DataFrame(label="Comparative Statistical Signature", value=summary_df, wrap=True, row_count=(len(summary_df), "dynamic"))
 
         # FINALE KORREKTUR: Robuste Plot-Parameter-Logik
@@ -35,7 +35,7 @@ def run_auto_suite_display(model_id, num_steps, seed, experiment_name, progress=
             "title": "Comparative Cognitive Dynamics",
             "color_legend_position": "bottom", "show_label": True, "height": 400, "interactive": True
         }
-
+        
         if experiment_name == "ACT Titration (Point of No Return)":
             plot_params.update({
                 "x": "Patch Step", "y": "Post-Patch Mean Delta", "color": None,
@@ -74,12 +74,12 @@ with gr.Blocks(theme=theme, title="Cognitive Seismograph 2.3") as demo:
                     manual_prompt_type = gr.Radio(choices=list(RESONANCE_PROMPTS.keys()), value="resonance_prompt", label="Prompt Type")
                     manual_seed = gr.Slider(1, 1000, 42, step=1, label="Seed")
                     manual_num_steps = gr.Slider(50, 1000, 300, step=10, label="Number of Internal Steps")
-
+                    
                     gr.Markdown("### 2. Modulation Parameters")
                     manual_concept = gr.Textbox(label="Concept to Inject", placeholder="e.g., 'calmness'")
                     manual_strength = gr.Slider(0.0, 5.0, 1.5, step=0.1, label="Injection Strength")
                     manual_run_btn = gr.Button("Run Single Analysis", variant="primary")
-
+                
                 with gr.Column(scale=2):
                     gr.Markdown("### Single Run Results")
                     manual_verdict = gr.Markdown("Analysis results will appear here.")
@@ -102,12 +102,12 @@ with gr.Blocks(theme=theme, title="Cognitive Seismograph 2.3") as demo:
                     auto_num_steps = gr.Slider(50, 1000, 300, step=10, label="Steps per Run")
                     auto_seed = gr.Slider(1, 1000, 42, step=1, label="Seed")
                     auto_experiment_name = gr.Dropdown(
-                        choices=list(get_curated_experiments().keys()),
-                        value="Causal Verification & Crisis Dynamics",
+                        choices=list(get_curated_experiments().keys()), 
+                        value="Causal Verification & Crisis Dynamics", 
                         label="Curated Experiment Protocol"
                     )
                     auto_run_btn = gr.Button("Run Curated Auto-Experiment", variant="primary")
-
+                
                 with gr.Column(scale=2):
                     gr.Markdown("### Suite Results Summary")
                     # Initialisiere den Plot mit den Default-Parametern
@@ -115,7 +115,7 @@ with gr.Blocks(theme=theme, title="Cognitive Seismograph 2.3") as demo:
                     auto_summary_df = gr.DataFrame(label="Comparative Statistical Signature", wrap=True)
                     with gr.Accordion("Raw JSON for all runs", open=False):
                         auto_raw_json = gr.JSON()
-
+            
             auto_run_btn.click(
                 fn=run_auto_suite_display,
                 inputs=[auto_model_id, auto_num_steps, auto_seed, auto_experiment_name],
@@ -123,4 +123,4 @@ with gr.Blocks(theme=theme, title="Cognitive Seismograph 2.3") as demo:
             )
 
 if __name__ == "__main__":
-    demo.launch(server_name="0.0.0.0", server_port=7860, debug=True)
+    demo.launch(server_name="0.0.0.0", server_port=7860, debug=True)