Update README.md

README.md

@@ -1,31 +1,32 @@
----
-title: Surgical-DeSAM
-emoji: 🔬
-colorFrom: blue
-colorTo: green
-sdk: gradio
-sdk_version: 4.44.0
-app_file: app.py
-pinned: false
-license: apache-2.0
----
-
-# Surgical-DeSAM
-
-Surgical instrument segmentation using DeSAM (Decoupled SAM) architecture.
-
-Upload a surgical image to get instance segmentation masks for instruments.
-
-## Model
-
-Based on [Surgical-DeSAM](https://github.com/YuyangSheng/Surgical-DeSAM) - integrates DETR for detection and SAM for segmentation.
-
-## Classes Detected
-- Bipolar Forceps
-- Prograsp Forceps  
-- Large Needle Driver
-- Monopolar Curved Scissors
-- Ultrasound Probe
-- Suction
-- Clip Applier
-- Stapler
+---
+title: Surgical-DeSAM
+emoji: 🔬
+colorFrom: blue
+colorTo: green
+sdk: gradio
+sdk_version: 6.2.0
+app_file: app.py
+pinned: false
+license: apache-2.0
+short_description: AI-powered medical video segmentation demo for anatomical st
+---
+
+# Surgical-DeSAM
+
+Surgical instrument segmentation using DeSAM (Decoupled SAM) architecture.
+
+Upload a surgical image to get instance segmentation masks for instruments.
+
+## Model
+
+Based on [Surgical-DeSAM](https://github.com/YuyangSheng/Surgical-DeSAM) - integrates DETR for detection and SAM for segmentation.
+
+## Classes Detected
+- Bipolar Forceps
+- Prograsp Forceps  
+- Large Needle Driver
+- Monopolar Curved Scissors
+- Ultrasound Probe
+- Suction
+- Clip Applier
+- Stapler