Update README.md

README.md

@@ -1 +1,29 @@
-markdown <br>---<br>sdk: docker<br>app_port: 7860<br>---<br># Food‑Recognition API <br>This Space runs a tiny FastAPI service that: <br>* loads **BinhQuocNguyen/food‑recognition‑model** <br>* accepts a base‑64‑encoded image via **POST /analyze** <br>* returns the top food label, a (hard‑coded) portion‑size estimate and an estimated calorie count. <br>Example request (curl): <br>bash<br>curl -X POST https://<your‑username>-my-food-api.hf.space/analyze <br> -H "Content-Type: application/json" <br> -d '{"image":"<base64‑string>"}'<br><br> ```
+---
+title: Food‑Recognition API
+emoji: 🍎
+colorFrom: red
+colorTo: yellow
+sdk: docker
+sdk_version: "4"
+python_version: "3.11"
+app_file: app.py
+pinned: false
+---
+
+# 🍎 Food‑Recognition API (Hugging Face Space)
+
+This Space runs a tiny **FastAPI** service that wraps the model  
+`BinhQuocNguyen/food-recognition-model`.  
+
+It:
+
+* loads the food‑recognition model once at start‑up  
+* accepts an image (base‑64‑encoded) via **POST `/analyze`**  
+* returns the top food label, a confidence score, an estimated portion weight (g) and the estimated calories for that portion.
+
+## 🚀 How to call the API
+
+```bash
+curl -X POST https://<your‑username>-my-food-api.hf.space/analyze \
+     -H "Content-Type: application/json" \
+     -d '{"image":"<base64‑string>"}'