Update README with RADAI and HF configuration

README.md

@@ -1,4 +1,14 @@
-# 🧠 AI Detector — Real-Time Deepfake Detection Extension
+---
+title: Radai Api
+emoji: 🧠
+colorFrom: blue
+colorTo: indigo
+sdk: docker
+app_file: app.py
+pinned: false
+---
+
+# 🧠 RADAI — Real-Time AI Image Detection Extension
 
 <div align="center">
 
@@ -23,7 +33,7 @@
 
 With the explosion of generative AI tools like **Stable Diffusion**, **Midjourney**, and **DALL·E**, distinguishing real images from synthetic ones has become nearly impossible for the human eye.
 
-**AI Detector** is a real-time deepfake detection Chrome extension that scans every image on any webpage and classifies it as:
+**RADAI** is a real-time deepfake detection Chrome extension that scans every image on any webpage and classifies it as:
 
 - 🧠 **AI Generated** — flagged with a red border and confidence score
 - 📷 **Real** — confirmed with a green border and confidence score
@@ -42,7 +52,7 @@ It doesn't just stop there. It calculates a **full page-level risk score** so yo
 - Ignores hidden or non-visible DOM elements for accurate results
 
 ### 🎯 AI vs Real Classification
-- Powered by **OpenCLIP (ViT-L-14)** deep vision model
+- Powered by **OpenCLIP (ViT-L-14)** & **ConvNeXt-Base** deep vision models
 - Transfer learning with a custom binary classification head
 - Outputs a clean probability score per image
 
@@ -99,7 +109,7 @@ Results are pushed back to the extension, which:
 
 | Property | Value |
 |----------|-------|
-| **Backbone** | OpenCLIP (ViT-L-14) |
+| **Ensemble** | OpenCLIP (ViT-L-14) + ConvNeXt-Base |
 | **Pretrained On** | datacomp_xl_s13b_b90k |
 | **Approach** | Transfer Learning |
 | **Encoder** | Frozen |