Update app.py

app.py

@@ -1,52 +1,39 @@
-from fastapi import FastAPI
-from fastapi.middleware.cors import CORSMiddleware
 import gradio as gr
 import numpy as np
-import uvicorn
+import json
+import requests
 
 # ============================================================
-#   RFT-Ω Harmonic Demo — Unified FastAPI + Gradio
+#   RFT-Ω Harmonic Demo — All-in-One Gradio API Simulation
 # ============================================================
 
-# --- Core FastAPI ---
-app = FastAPI(title="RFT-Ω Kernel Demo")
-
-app.add_middleware(
-    CORSMiddleware,
-    allow_origins=["*"],
-    allow_credentials=True,
-    allow_methods=["*"],
-    allow_headers=["*"],
-)
-
-# --- API endpoints ---
-@app.get("/rft/ping")
 def ping():
-    return {"ok": True, "message": "RFT-Ω API online"}
+    """Return a JSON-formatted heartbeat."""
+    return json.dumps({"ok": True, "message": "RFT-Ω API online"})
 
-@app.get("/rft/metrics")
 def metrics():
+    """Generate simulated QΩ / 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": q_omega, "ζ_sync": z_sync}
-
-# --- Gradio UI ---
-def ui_fn():
-    q = float(np.random.uniform(0.82, 0.89))
-    z = float(np.random.uniform(0.75, 0.88))
-    return f"QΩ = {q:.3f} | ζ_sync = {z:.3f}"
-
+    return json.dumps({"QΩ": q_omega, "ζ_sync": z_sync})
+
+def ui_fn(choice):
+    """Bridge UI buttons to internal API functions."""
+    if choice == "Ping":
+        return ping()
+    elif choice == "Metrics":
+        return metrics()
+    else:
+        return json.dumps({"error": "invalid option"})
+
+# Gradio interface
 demo = gr.Interface(
     fn=ui_fn,
-    inputs=[],
+    inputs=gr.Radio(["Ping", "Metrics"], label="Select endpoint"),
     outputs="text",
     title="RFT-Ω Harmonic Demo",
-    description="Use /rft/ping and /rft/metrics for API JSON access."
+    description="Select 'Ping' or 'Metrics' to call the internal JSON endpoints."
 )
 
-# Mount the Gradio app at root so both systems coexist
-app = gr.mount_gradio_app(app, demo, path="/")
-
-# --- Launch only if running locally (Hugging Face auto-runs it) ---
 if __name__ == "__main__":
-    uvicorn.run(app, host="0.0.0.0", port=7860)
+    demo.launch()