Update app.py

app.py

@@ -1,25 +1,36 @@
+from fastapi import FastAPI
+from fastapi.middleware.cors import CORSMiddleware
 import gradio as gr
 import numpy as np
-from fastapi import FastAPI
+import uvicorn
 
 # ============================================================
-#   RFT-Ω Harmonic Demo — Public API + Gradio Interface
+#   RFT-Ω Harmonic Demo — Unified FastAPI + Gradio
 # ============================================================
 
-# --- FastAPI endpoints ---
-api = FastAPI(title="RFT-Ω Kernel Demo")
+# --- Core FastAPI ---
+app = FastAPI(title="RFT-Ω Kernel Demo")
 
-@api.get("/rft/ping")
+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"}
 
-@api.get("/rft/metrics")
+@app.get("/rft/metrics")
 def 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 interface ---
+# --- Gradio UI ---
 def ui_fn():
     q = float(np.random.uniform(0.82, 0.89))
     z = float(np.random.uniform(0.75, 0.88))
@@ -30,11 +41,12 @@ demo = gr.Interface(
     inputs=[],
     outputs="text",
     title="RFT-Ω Harmonic Demo",
-    description="Endpoints live at /rft/ping and /rft/metrics for JSON access."
+    description="Use /rft/ping and /rft/metrics for API JSON access."
 )
 
-# --- 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()
+# 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)