Update README.md

README.md

@@ -4,23 +4,20 @@ emoji: 🌦️
 colorFrom: blue
 colorTo: green
 sdk: gradio
-sdk_version: 4.44.0
+sdk_version: 4.44.1
 app_file: app.py
 pinned: false
 ---
 
-# ClimaMind — K2-Think + Live Climate Data (Gradio on Hugging Face Spaces)
+# ClimaMind — K2-Think + Live Climate Data (Gradio on Spaces)
 
-## Setup
-1) Create a new Space → SDK = **Gradio**.
-2) Upload `app.py` and `requirements.txt` (this README is optional).
-3) In **Settings → Variables / secrets**, set:
-   - `PROVIDER` = `hf_model` (recommended) or `local` or `stub`
-   - `MODEL_ID` = `MBZUAI-IFM/K2-Think-SFT` (default) or `LLM360/K2-Think`
-   - `HF_TOKEN` = your HF token (Read + Inference)
-4) If choosing `local`, switch the Space hardware to **GPU**.
+This Space hosts your hackathon demo:
+- Live weather/UV from Open-Meteo + PM2.5 from OpenAQ (keyless).
+- Reasoning via K2-Think (HF Inference API by default), strict JSON output → Answer, Why-trace, Risk.
+- Gradio UI with a shareable link.
 
-## Notes
-- Uses Open-Meteo + OpenAQ (keyless).
-- If model returns non-JSON, you’ll see a friendly fallback.
-- If rate-limited, temporarily set `PROVIDER=stub` for the demo.
+## Configure (Settings → Variables / secrets)
+- `PROVIDER` = `hf_model` (recommended) or `local` or `stub`
+- `MODEL_ID` = `MBZUAI-IFM/K2-Think-SFT` (default) or `LLM360/K2-Think`
+- `HF_TOKEN` = your HF token (Read + Inference)
+- Optional: `HF_HUB_DISABLE_TELEMETRY` = `1`