Update demo.py

demo.py

@@ -121,22 +121,21 @@ def compare_face(frame1, frame2):
         return result.text
         
 with gr.Blocks(css=".gradio-container {background-color: #F4E5E0}") as demo:
-    with gr.TabItem("Face Recognition Online Demo"):
-        with gr.Row():
-            with gr.Column(scale=7):
-                with gr.Row():
-                    with gr.Column():
-                        image_input1 = gr.Image(type='filepath')
-                        gr.Examples(['face_examples/1.jpg', 'face_examples/3.jpg', 'face_examples/7.jpg', 'face_examples/9.jpg'], 
-                                    inputs=image_input1)
-                    with gr.Column():
-                        image_input2 = gr.Image(type='filepath')
-                        gr.Examples(['face_examples/2.jpg', 'face_examples/4.jpg', 'face_examples/8.jpg', 'face_examples/10.jpg'], 
-                                    inputs=image_input2)
-                face_recog_button = gr.Button("Compare Face", variant="primary", size="lg")
-            with gr.Column(scale=3):
-                recog_html_output = gr.HTML()
-    
-        face_recog_button.click(compare_face, inputs=[image_input1, image_input2], outputs=recog_html_output)
+    with gr.Row():
+        with gr.Column(scale=7):
+            with gr.Row():
+                with gr.Column():
+                    image_input1 = gr.Image(type='filepath')
+                    gr.Examples(['face_examples/1.jpg', 'face_examples/3.jpg', 'face_examples/7.jpg', 'face_examples/9.jpg'], 
+                                inputs=image_input1)
+                with gr.Column():
+                    image_input2 = gr.Image(type='filepath')
+                    gr.Examples(['face_examples/2.jpg', 'face_examples/4.jpg', 'face_examples/8.jpg', 'face_examples/10.jpg'], 
+                                inputs=image_input2)
+            face_recog_button = gr.Button("Compare Face", variant="primary", size="lg")
+        with gr.Column(scale=3):
+            recog_html_output = gr.HTML()
+
+    face_recog_button.click(compare_face, inputs=[image_input1, image_input2], outputs=recog_html_output)
 
 demo.launch(server_name="0.0.0.0", server_port=7860)