Update README.md

README.md

@@ -1,49 +1,14 @@
 ---
-title: PrimateFace
-emoji: 🐵ྀི
-colorFrom: purple
-colorTo: red
-sdk: gradio
-sdk_version: 5.35.0
-app_file: app.py
-pinned: true
-license: mit
-tags:
-  - computer-vision
-  - object-detection
-  - pose-estimation
-  - gaze-tracking
-  - primates
-  - animals
-short_description: Test cross-primate face detection and facial landmark models
+title: PrimateFace Demo
+sdk: static
 ---
 
-# PrimateFace Demo
-
-State-of-the-art primate face detection, pose estimation, and gaze tracking system.
-
-## Features
-
-- 🎯 **Multi-species face detection** - Trained on diverse primate species
-- 📍 **68-point facial landmarks** - Detailed facial structure analysis  
-- 👀 **Gaze estimation** - Experimental gaze direction tracking
-- 🖼️ **Image & Video support** - Process both static images and videos
-- 📸 **Webcam capture** - Real-time processing from webcam
-
-## Model Architecture
-
-- **Detection Backend**: MMDetection with Cascade R-CNN (ResNet101-FPN)
-- **Pose Estimation**: MMPose with HRNet-W18 (68 keypoints)
-- **Gaze Estimation**: Gazelle model (trained only on human faces)
-
-## Usage
-
-1. Upload an image/video or capture from webcam
-2. Select the task type (detection only, with pose, or with gaze)
-3. Adjust confidence threshold if needed
-4. Click "Detect Faces" to process
-
-## Note
-
-This demo runs on a dedicated GPU server. If the server is offline, please check back later.
+<p>The PrimateFace Gradio demo is running on a remote machine with a dedicated GPU and is embedded here.</p>
+<p>Note: The remote machine must be running for this demo to be accessible. If you see an error, the server may be offline.</p>
 
+<iframe
+	src="https://demo.primateface.studio/gradio"
+	frameborder="0"
+	width="100%"
+	height="1200"
+></iframe>