Create README.md

# AI-Driven Defect Recognition in EL Images (Hugging Face Space)

Upload an EL image and get an annotated output (red squares + X on defects) and a `defect_report.csv`.

## Dev notes
- Put your model weights at `weights/best.pt` (or set env `MODEL_PATH`).
- Implement `load_model()` and `infer()` in `app.py` for your model.
- Requirements in `requirements.txt`. Pin versions if needed.

README.md

@@ -1,14 +1,9 @@
 ---
+license: mit
 title: Defect Recognition
-emoji: 👀
-colorFrom: yellow
-colorTo: blue
 sdk: gradio
-sdk_version: 5.47.2
-app_file: app.py
-pinned: false
-license: mit
-short_description: Defect Recognition in EL Image
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+emoji: 🚀
+colorFrom: red
+pinned: true
+short_description: AI-Driven Defect Recognition in EL Images
+---