Update app.py

app.py

@@ -278,6 +278,23 @@ with gr.Blocks(title="Surgical-DeSAM", theme=gr.themes.Soft()) as demo:
     gr.Markdown("Segment surgical instruments in images or videos using DeSAM architecture.")
     
     with gr.Tabs():
+        # Video Tab
+        with gr.TabItem("🎬 Video Segmentation"):
+            with gr.Row():
+                with gr.Column():
+                    input_video = gr.Video(label="Input Video")
+                    video_btn = gr.Button("Segment Video", variant="primary")
+                with gr.Column():
+                    output_video = gr.Video(label="Segmentation Result")
+            
+            video_btn.click(fn=predict_video, inputs=input_video, outputs=output_video)
+            
+            gr.Examples(
+                examples=["examples/surgical_demo.mp4",
+                         "examples/output.mp4"],
+                inputs=input_video,
+                label="Example Surgical Video"
+            )
         # Image Tab
         with gr.TabItem("🖼️ Image Segmentation"):
             with gr.Row():
@@ -299,22 +316,7 @@ with gr.Blocks(title="Surgical-DeSAM", theme=gr.themes.Soft()) as demo:
                 label="Example Surgical Images"
             )
         
-        # Video Tab
-        with gr.TabItem("🎬 Video Segmentation"):
-            with gr.Row():
-                with gr.Column():
-                    input_video = gr.Video(label="Input Video")
-                    video_btn = gr.Button("Segment Video", variant="primary")
-                with gr.Column():
-                    output_video = gr.Video(label="Segmentation Result")
-            
-            video_btn.click(fn=predict_video, inputs=input_video, outputs=output_video)
-            
-            gr.Examples(
-                examples=["examples/surgical_demo.mp4"],
-                inputs=input_video,
-                label="Example Surgical Video"
-            )
+
     
     gr.Markdown("""
     ## Detected Classes