Update app.py

app.py

@@ -146,32 +146,32 @@ def inference_image(img):
     return {imagenet_id_to_classname[str(i)]: float(prediction[i]) for i in range(1000)}
 
 
-demo = gr.Interface(
-    fn = ultra_inference_video,
-    inputs = "sketchpad",
-    outputs = "label",
+# demo = gr.Interface(
+#     fn = ultra_inference_video,
+#     inputs = "sketchpad",
+#     outputs = "label",
            
-)
-# demo = gr.Blocks()
-# with demo:
-#     gr.Markdown(
-#         """
-#         # VideoMamba-Ti
-#         Gradio demo for <a href='https://github.com/OpenGVLab/VideoMamba' target='_blank'>VideoMamba</a>: To use it, simply upload your video, or click one of the examples to load them. Read more at the links below.
-#         """
-#     )
-
-#     # with gr.Tab("Video"):
-#     #     # with gr.Box():
-#     with gr.Row():
-#         with gr.Column():
-#             with gr.Row():
-#                 input_video = gr.Video(label='Input Video', height=360)
-#                 # input_video = load_video(input_video)
-#             with gr.Row():
-#                 submit_video_button = gr.Button('Submit')
-#         with gr.Column():
-#                 label_video = gr.Label(num_top_classes=5)
+# )
+demo = gr.Blocks()
+with demo:
+    gr.Markdown(
+        """
+        # VideoMamba-Ti
+        Gradio demo for <a href='https://github.com/OpenGVLab/VideoMamba' target='_blank'>VideoMamba</a>: To use it, simply upload your video, or click one of the examples to load them. Read more at the links below.
+        """
+    )
+
+    # with gr.Tab("Video"):
+    #     # with gr.Box():
+    with gr.Row():
+        with gr.Column():
+            with gr.Row():
+                input_video = gr.Video(label='Input Video', height=360)
+                # input_video = load_video(input_video)
+            with gr.Row():
+                submit_video_button = gr.Button('Submit')
+        with gr.Column():
+                label_video = gr.Label(num_top_classes=10)
 #         with gr.Row():
 #             gr.Examples(examples=['./videos/hitting_baseball.mp4', './videos/hoverboarding.mp4', './videos/yoga.mp4'], inputs=input_video, outputs=label_video, fn=inference_video, cache_examples=True)
 
@@ -194,7 +194,7 @@ demo = gr.Interface(
     #     """
     # )
 
-    # submit_video_button.click(fn=inference_video, inputs=input_video, outputs=label_video)
+    submit_video_button.click(fn=inference_video, inputs=input_video, outputs=label_video)
     # # submit_image_button.click(fn=inference_image, inputs=input_image, outputs=label_image)
 
 demo.launch()