Deploy Small Talk: Reachy Mini AI podcast (gradio.Server + three.js + LiveKit)

app.py

@@ -28,7 +28,7 @@ attach(app)  # /api/* routes — registered before the static mounts below
 # Gradio's own routes, so a simple per-folder static mount is enough.
 from fastapi.staticfiles import StaticFiles  # noqa: E402
 
-for sub in ("assets", "robot-3d", "moves"):
+for sub in ("assets", "robot-3d", "moves", "props"):
     d = DIST / sub
     if d.is_dir():
         app.mount(f"/{sub}", StaticFiles(directory=str(d)), name=sub)

backend/server.py

@@ -6,6 +6,7 @@ their own configured Reachy in (it joins and reacts — live speech needs the
 on-device brain + TTS).
 """
 import asyncio
+import os
 import re
 import uuid
 from dataclasses import dataclass
@@ -254,7 +255,9 @@ def _get_llm():
     global _llm_client
     if _llm_client is None:
         from gradio_client import Client
-        _llm_client = Client(LLM_SPACE)
+        # authenticate so the ZeroGPU call uses our (team-org) quota, not the
+        # exhausted anonymous pool
+        _llm_client = Client(LLM_SPACE, hf_token=os.environ.get("HF_TOKEN") or None)
     return _llm_client