Update app.py

app.py

@@ -3,6 +3,12 @@ import gradio as gr
 from huggingface_hub import InferenceClient
 from transformers import pipeline
 
+
+HF_TOKEN = os.getenv("HF_TOKEN")
+if not HF_TOKEN:
+    raise RuntimeError("HF_TOKEN not found. In Spaces, add it under Settings → Repository secrets.")
+
+login(token=HF_TOKEN)
 # --- Emissions factors --------------------------------------------------------
 EMISSIONS_FACTORS = {
     "transportation": {"car": 2.3, "bus": 0.1, "train": 0.04, "plane": 0.25},
@@ -45,7 +51,6 @@ pipe = pipeline("text-generation", model="google/gemma-3-270m-it")
 def respond(
     message,
     history: list[dict[str, str]],
-    system_message,
     car_km,
     bus_km,
     train_km,
@@ -83,13 +88,9 @@ def respond(
         return
 
     # --- Remote branch --------------------------------------------------------
-    token = (hf_token_ui or "").strip() or (os.getenv("HF_TOKEN") or "").strip()
-    if not token:
-        yield "⚠️ Please provide a Hugging Face token in the 'HF Token' box or set HF_TOKEN in the environment."
-        return
 
     model_id = "openai/gpt-oss-20b"
-    client = InferenceClient(model=model_id, token=token)
+    client = InferenceClient(model=model_id, token=HF_TOKEN)
 
     response = ""
     for chunk in client.chat_completion(