Update app.py

app.py

@@ -2,35 +2,69 @@ import gradio as gr
 import numpy as np
 
 # ============================================================
-#  RFT-Ω  HARMONIC  VALIDATION  INTERFACE
-#  Simplified Gradio build — public demonstration of QΩ / ζ_sync stability
+#  RFT-Ω  HARMONIC  VALIDATION  INTERFACE  v2
+#  (Interactive profiles + adjustable noise)
 # ============================================================
 
-def ping():
-    """Return a JSON-formatted heartbeat."""
-    return {"ok": True, "message": "RFT-Ω API online and stable"}
+# --- base metric generator ----------------------------------
+def run_simulation(profile, noise_scale):
+    """
+    Simulate harmonic stability (QΩ) and synchronisation (ζ_sync)
+    under synthetic noise for selected system profile.
+    """
 
-def metrics():
-    """Return simulated QΩ and ζ_sync metrics."""
-    q_omega = float(np.random.uniform(0.82, 0.89))
-    z_sync  = float(np.random.uniform(0.75, 0.88))
-    return {"QΩ": round(q_omega, 3), "ζ_sync": round(z_sync, 3), "status": "nominal"}
+    # baseline ranges for profiles (mean_QΩ, mean_ζ)
+    baselines = {
+        "AI / Neural": (0.86, 0.80),
+        "SpaceX / Aerospace": (0.84, 0.79),
+        "Energy / RHES": (0.83, 0.78),
+        "Extreme Perturbation": (0.82, 0.77)
+    }
+    base_q, base_z = baselines.get(profile, (0.84, 0.79))
 
-def ui_fn(choice):
-    if choice == "Ping":
-        return ping()
-    elif choice == "Metrics":
-        return metrics()
-    else:
-        return {"error": "Invalid selection"}
+    # apply synthetic Gaussian noise
+    q_noise = np.random.normal(0, noise_scale)
+    z_noise = np.random.normal(0, noise_scale * 0.8)
 
+    # compute final readings, clamped to [0,1]
+    q_omega = np.clip(base_q + q_noise, 0.0, 1.0)
+    z_sync  = np.clip(base_z + z_noise, 0.0, 1.0)
+
+    # derive qualitative status
+    var = abs(q_noise) + abs(z_noise)
+    status = "nominal"
+    if var > 0.12: status = "critical"
+    elif var > 0.06: status = "perturbed"
+
+    return {
+        "System": profile,
+        "Noise Scale": round(noise_scale, 3),
+        "QΩ": round(q_omega, 3),
+        "ζ_sync": round(z_sync, 3),
+        "status": status
+    }
+
+# --- Gradio user interface ----------------------------------
 demo = gr.Interface(
-    fn=ui_fn,
-    inputs=gr.Radio(["Ping", "Metrics"], label="Select endpoint"),
+    fn=run_simulation,
+    inputs=[
+        gr.Radio(
+            ["AI / Neural", "SpaceX / Aerospace", "Energy / RHES", "Extreme Perturbation"],
+            label="Select System Profile",
+            value="AI / Neural"
+        ),
+        gr.Slider(0.0, 0.2, value=0.05, step=0.005,
+                  label="Synthetic Noise Level (σ)")
+    ],
     outputs="json",
-    title="RFT-Ω Harmonic Validation Interface",
-    description="Select *Ping* or *Metrics* to view live JSON results."
+    title="RFT-Ω Harmonic Validation Interface v2",
+    description=(
+        "Simulate QΩ (stability) and ζ_sync (coherence) under controlled synthetic noise.\n"
+        "Choose an environment profile and adjust noise to test harmonic resilience.\n"
+        "Typical stable ranges: QΩ 0.82–0.89  |  ζ_sync 0.75–0.88"
+    )
 )
 
+# --- launch -------------------------------------------------
 if __name__ == "__main__":
     demo.launch()