Update app.py

app.py

@@ -1,25 +1,30 @@
-import gradio as gr
+from fastapi import FastAPI, Request
+from fastapi.responses import JSONResponse
+import uvicorn
 
-def reflex_guard(scenario):
+app = FastAPI()
+
+@app.post("/run")
+async def run_reflex(request: Request):
+    data = await request.json()
+    scenario = data.get("scenario", "")
     log = []
-    log.append("[ReflexGuard]: Scenario received – '{}'".format(scenario))
+
+    log.append(f"[ReflexGuard]: Scenario received – '{scenario}'")
 
     if "surge" in scenario.lower() or "override" in scenario.lower():
         anomaly_score = 0.92
     else:
         anomaly_score = 0.21
 
-    log.append("[Analyzer]: Anomaly score = {:.2f}".format(anomaly_score))
+    log.append(f"[Analyzer]: Anomaly score = {anomaly_score:.2f}")
     if anomaly_score > 0.8:
         log.append("[Decision]: HALT_SIGNAL issued due to risk threshold breach.")
     else:
         log.append("[Decision]: System stable. No action required.")
 
-    return { "logs": log }
-
-demo = gr.Interface(fn=reflex_guard,
-                    inputs=gr.Textbox(label="System Scenario"),
-                    outputs="json",
-                    live=False)
+    return JSONResponse(content={"logs": log})
 
-demo.launch()
+# Only required for local dev; Hugging Face auto-detects app
+if __name__ == "__main__":
+    uvicorn.run(app, host="0.0.0.0", port=7860)