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@@ -22,7 +22,7 @@ COPY . /app
 # Hugging Face Spaces typically expose $PORT; default to 7860 for local runs
 ENV PORT=7860
 EXPOSE 7860
-
-# Start Streamlit on the correct interface/port
-# (shell form so $PORT expands)
+HEALTHCHECK --interval=10s --timeout=3s --start-period=20s --retries=3 \
+  CMD curl -fsS "http://127.0.0.1:${PORT}/" || exit 1
 CMD bash -lc "streamlit run frontend.py --server.address=0.0.0.0 --server.port=$PORT"
+

backend.py

@@ -14,10 +14,9 @@ from pathlib import Path  # already imported
 here = Path(__file__).parent.resolve()
 
 
+
 ################### --- Auth setup --- ###################
 ##########################################################
-# load the details from .env, then test it and raise as Asserterror if false
-# load_dotenv()
 HF = os.getenv("HF_TOKEN") or os.getenv("HUGGINGFACEHUB_API_TOKEN")
 if not HF:
     print("WARNING: HF_TOKEN not set. The app will start, but model calls may fail.")
@@ -31,17 +30,6 @@ else:
         pass
 
 
-# then all env set to the same token to avoid env error.
-os.environ["HF_TOKEN"] = HF
-os.environ["HUGGINGFACEHUB_API_TOKEN"] = HF
-
-# Login with HF token
-try:
-    from huggingface_hub import login
-    login(token=HF)
-except Exception:
-    pass
-
 # --- LangChain / MCP ---
 from langgraph.prebuilt import create_react_agent
 from langchain_mcp_adapters.client import MultiServerMCPClient