final4

app.py

@@ -1,52 +1,23 @@
-"""
-app.py
-======
-HuggingFace Spaces entry point (Gradio SDK).
-
-Mounts the FastAPI OpenEnv server and exposes a minimal Gradio UI
-so the Space is recognised as a Gradio app while all OpenEnv HTTP
-endpoints (/reset, /step, /state, /health) remain accessible.
-"""
-
-import uvicorn
 import gradio as gr
+from fastapi import FastAPI
 from server import app as fastapi_app
 
-# ---------------------------------------------------------------------------
-# Minimal Gradio demo (satisfies HF Spaces Gradio SDK requirement)
-# ---------------------------------------------------------------------------
+# Create main app
+app = FastAPI()
 
+# Mount FastAPI FIRST at root
+app.mount("", fastapi_app)
+
+# Minimal UI
 def run_health_check():
-    return "InformationIntegrityEnv is running. Use /reset, /step, /health endpoints."
+    return "InformationIntegrityEnv is running."
 
 demo = gr.Interface(
     fn=run_health_check,
     inputs=[],
-    outputs=gr.Textbox(label="Status"),
+    outputs="text",
     title="InformationIntegrityEnv",
-    description=(
-        "OpenEnv-compatible deterministic benchmark for reasoning-based content moderation.\n\n"
-        "**API Endpoints:**\n"
-        "- `POST /reset` — start episode (`{\"difficulty\": \"easy|medium|hard\"}`)\n"
-        "- `POST /step` — submit action\n"
-        "- `GET  /health` — liveness check\n"
-        "- `GET  /tasks` — list available scenarios"
-    ),
 )
 
-# Mount Gradio onto the FastAPI app so both are served on the same port
-from fastapi import FastAPI
-import gradio as gr
-from server import app as fastapi_app
-
-# Create root app
-app = FastAPI()
-
-# Mount FastAPI API at root
-app.mount("/", fastapi_app)
-
-# Mount Gradio UI separately
-app = gr.mount_gradio_app(app, demo, path="/ui")
-
-if __name__ == "__main__":
-    uvicorn.run(app, host="0.0.0.0", port=7860)
+# Mount Gradio at /ui (NOT root)
+app = gr.mount_gradio_app(app, demo, path="/ui")