Update app.py

app.py

@@ -11,53 +11,53 @@ example_list = list(map(lambda el:[el], example_list))
 # def load_example(video):
 #     return video[0]
 
-# demo = gr.Blocks()
+demo = gr.Blocks()
 
-input_video = gr.Video(label="Input Video", show_label=True)
-output_label = gr.Label(label="Model Output", show_label=True)
-output_gif = gr.Image(label="Video Gif", show_label=True)
-title = "Video Classification with Transformers"
-description = "This space demonstrates the use of a hybrid (CNN-Transformer based) model for video classification. \n The model can classify videos belonging to the following action categories: CricketShot, Punch, ShavingBeard, TennisSwing, PlayingCello. \n Upload a video and try out 🤗 "
+#input_video = gr.Video(label="Input Video", show_label=True)
+#output_label = gr.Label(label="Model Output", show_label=True)
+#output_gif = gr.Image(label="Video Gif", show_label=True)
+#title = "Video Classification with Transformers"
+#description = "This space demonstrates the use of a hybrid (CNN-Transformer based) model for video classification. \n The model can classify videos belonging to the following action categories: CricketShot, Punch, ShavingBeard, TennisSwing, PlayingCello. \n Upload a video and try out 🤗 "
 
-article = '\n Demo created by: <a href=\"https://www.linkedin.com/in/shivalika-singh/\">Shivalika Singh</a> <br> Based on this <a href=\"https://keras.io/examples/vision/video_transformers/\">Keras example</a> by <a href=\"https://twitter.com/RisingSayak\">Sayak Paul</a> <br> Demo Powered by this <a href=\"https://huggingface.co/shivi/video-transformers/\"> Video Classification</a> model'
+#article = '\n Demo created by: <a href=\"https://www.linkedin.com/in/shivalika-singh/\">Shivalika Singh</a> <br> Based on this <a href=\"https://keras.io/examples/vision/video_transformers/\">Keras example</a> by <a href=\"https://twitter.com/RisingSayak\">Sayak Paul</a> <br> Demo Powered by this <a href=\"https://huggingface.co/shivi/video-transformers/\"> Video Classification</a> model'
 
-gr.Interface(predict_action, input_video, [output_label, output_gif], examples=example_list, allow_flagging=False, analytics_enabled=False,
-  title=title, description=description, cache_examples=True, article=article).launch(enable_queue=True,share=True)
+#gr.Interface(predict_action, input_video, [output_label, output_gif], examples=example_list, allow_flagging=False, analytics_enabled=False,
+#  title=title, description=description, cache_examples=True, article=article).launch(enable_queue=True,share=True)
 
 
-# with demo:
+with demo:
     
-#     gr.Markdown("# **<p align='center'>Video Classification with Transformers</p>**")
-#     gr.Markdown("This space demonstrates the use of hybrid Transformer-based models for video classification that operate on CNN feature maps.")
+     gr.Markdown("# **<p align='center'>Video Classification with Transformers</p>**")
+     gr.Markdown("This space demonstrates the use of hybrid Transformer-based models for video classification that operate on CNN feature maps.")
     
-#     with gr.Tabs():
+     with gr.Tabs():
                 
-#         with gr.TabItem("Upload & Predict"):
-#             with gr.Box():
+         with gr.TabItem("Upload & Predict"):
+             with gr.Box():
                 
-#                 with gr.Row():
-#                     input_video = gr.Video(label="Input Video", show_label=True)
-#                     output_label = gr.Label(label="Model Output", show_label=True)
-#                     output_gif = gr.Image(label="Video Gif", show_label=True)
+                 with gr.Row():
+                     input_video = gr.Video(label="Input Video", show_label=True)
+                     output_label = gr.Label(label="Model Output", show_label=True)
+                     output_gif = gr.Image(label="Video Gif", show_label=True)
             
-#             gr.Markdown("**Predict**")
+             gr.Markdown("**Predict**")
             
-#             with gr.Box():
-#                 with gr.Row():
-#                     submit_button = gr.Button("Submit")
+             with gr.Box():
+                 with gr.Row():
+                     submit_button = gr.Button("Submit")
             
-#             gr.Markdown("**Examples:**")
-#             gr.Markdown("The model is trained to classify videos belonging to the following classes:")
-#             gr.Markdown("CricketShot, PlayingCello, Punch, ShavingBeard, TennisSwing")
-
-#             with gr.Column():
-#                 # gr.Examples("examples", [input_video], [output_label,output_gif], predict_action, cache_examples=True)
-#                 examples = gr.components.Dataset(components=[input_video], samples=example_list, type='values')
-#                 examples.click(load_example, examples, input_video)
+             gr.Markdown("**Examples:**")
+             gr.Markdown("The model is trained to classify videos belonging to the following classes:")
+             gr.Markdown("CricketShot, PlayingCello, Punch, ShavingBeard, TennisSwing")
+
+             with gr.Column():
+                  gr.Examples(example_list, [input_video], [output_label,output_gif], predict_action, cache_examples=True)
+                 #examples = gr.components.Dataset(components=[input_video], samples=example_list, type='values')
+                 #examples.click(load_example, examples, input_video)
         
-#     submit_button.click(predict_action, inputs=input_video, outputs=[output_label,output_gif])
+     submit_button.click(predict_action, inputs=input_video, outputs=[output_label,output_gif])
     
-#     gr.Markdown('\n Author: <a href=\"https://www.linkedin.com/in/shivalika-singh/\">Shivalika Singh</a> <br> Based on this <a href=\"https://keras.io/examples/vision/video_transformers/\">Keras example</a> by <a href=\"https://twitter.com/RisingSayak\">Sayak Paul</a> <br> Demo Powered by this <a href=\"https://huggingface.co/shivi/video-transformers/\"> Video Classification</a> model')
+     gr.Markdown('\n Author: <a href=\"https://www.linkedin.com/in/shivalika-singh/\">Shivalika Singh</a> <br> Based on this <a href=\"https://keras.io/examples/vision/video_transformers/\">Keras example</a> by <a href=\"https://twitter.com/RisingSayak\">Sayak Paul</a> <br> Demo Powered by this <a href=\"https://huggingface.co/shivi/video-transformers/\"> Video Classification</a> model')
     
-# demo.launch()
+ demo.launch()