Update app.py

app.py

@@ -1,11 +1,12 @@
 import gradio as gr
 import numpy as np
 from fastapi import FastAPI
-from fastapi.middleware.wsgi import WSGIMiddleware
 
-# -----------------------------
-#  FastAPI section (real API)
-# -----------------------------
+# ============================================================
+#   RFT-Ω Harmonic Demo — Public API + Gradio Interface
+# ============================================================
+
+# --- FastAPI endpoints ---
 api = FastAPI(title="RFT-Ω Kernel Demo")
 
 @api.get("/rft/ping")
@@ -18,25 +19,22 @@ def metrics():
     z_sync  = float(np.random.uniform(0.75, 0.88))
     return {"QΩ": q_omega, "ζ_sync": z_sync}
 
-# -----------------------------
-#  Gradio UI section
-# -----------------------------
+# --- Gradio interface ---
 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}"
 
-iface = gr.Interface(
+demo = gr.Interface(
     fn=ui_fn,
     inputs=[],
     outputs="text",
     title="RFT-Ω Harmonic Demo",
-    description="Endpoints: /rft/ping and /rft/metrics available for JSON access."
+    description="Endpoints live at /rft/ping and /rft/metrics for JSON access."
 )
 
-# -----------------------------
-#  Mount Gradio onto FastAPI
-# -----------------------------
-app = FastAPI()
-app.mount("/api", api)              # optional alias under /api
-app.mount("/", WSGIMiddleware(iface.app))
+# --- Launch section ---
+# Hugging Face runs Gradio natively, so we start the demo first,
+# and attach FastAPI for direct endpoint access.
+demo.app = api
+demo.launch()