Update app.py

app.py

@@ -146,34 +146,34 @@ 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 = "numpy",
-#     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)
-        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)
+)
+# 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)
+#         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)
 
     # # with gr.Tab("Image"):
     # #     # with gr.Box():