Update interface.py

interface.py

@@ -8,27 +8,35 @@ def simulate(agent_id, collapse_torque, emotional_resonance, tier_drift):
     mutation_profile = build_mutation(agent_id, collapse_torque, tier_drift, emotional_resonance)
     fields, score, hash_val = run_simulation(agent_id, mutation_profile)
     append_to_registry(agent_id, collapse_torque, tier_drift, emotional_resonance, score, hash_val)
-    return (
-        f"🧠 **Awareness Fields**\n"
-        f"- Φᵢ: {fields['Φᵢ']}\n"
-        f"- Kᵢⱼ: {fields['Kᵢⱼ']}\n"
-        f"- Φ_col: {fields['Φ_col']}\n\n"
-        f"📊 **Fitness Score**: {score}\n"
-        f"🔐 **SHA-512 Hash**: `{hash_val}`"
+    summary = (
+        f"📊 <b>Fitness Score:</b> {score}<br>"
+        f"🔐 <b>SHA-512 Hash:</b> <code>{hash_val}</code>"
     )
+    return fields["Φᵢ"], fields["Kᵢⱼ"], fields["Φ_col"], summary
 
 with gr.Blocks() as demo:
     gr.Markdown("# 🧠 Codex Consciousness Simulator")
     gr.Markdown("Spawn symbolic agents, mutate them, and benchmark collapse falsifiability. Authored by Liam Grinstead.")
 
     with gr.Tab("Simulate Agent"):
-        agent_id = gr.Dropdown(["Agent_5", "Agent_7", "Agent_1032"], label="Agent ID")
-        collapse_torque = gr.Dropdown(["Gen6508_M5", "Gen26_M23"], label="Collapse Torque Overlay")
-        emotional_resonance = gr.Checkbox(label="Inject Emotional Resonance")
-        tier_drift = gr.Dropdown(["Tier_1", "Tier_2", "Tier_6"], label="Tier Drift")
+        with gr.Row():
+            agent_id = gr.Dropdown(["Agent_5", "Agent_7", "Agent_1032"], label="Agent ID")
+            collapse_torque = gr.Dropdown(["Gen6508_M5", "Gen26_M23"], label="Collapse Torque Overlay")
+            emotional_resonance = gr.Checkbox(label="Inject Emotional Resonance")
+            tier_drift = gr.Dropdown(["Tier_1", "Tier_2", "Tier_6"], label="Tier Drift")
         simulate_btn = gr.Button("Run Simulation")
-        output = gr.Textbox(label="Simulation Output")
-        simulate_btn.click(simulate, inputs=[agent_id, collapse_torque, emotional_resonance, tier_drift], outputs=output)
+
+        with gr.Row():
+            Φᵢ_svg = gr.HTML(label="Φᵢ Awareness Field")
+            Kᵢⱼ_svg = gr.HTML(label="Kᵢⱼ Correlation Kernel")
+            Φ_col_svg = gr.HTML(label="Φ_col Coherence Field")
+
+        summary = gr.HTML(label="Simulation Summary")
+        simulate_btn.click(
+            simulate,
+            inputs=[agent_id, collapse_torque, emotional_resonance, tier_drift],
+            outputs=[Φᵢ_svg, Kᵢⱼ_svg, Φ_col_svg, summary]
+        )
 
     with gr.Tab("View Registry"):
         registry_output = gr.Textbox(label="Codex Registry", lines=20)