Logo

app.py

@@ -14,7 +14,8 @@ demo = gr.Blocks()
 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("Demo de clasificador de video usando modelo híbrido basado ​​en Transformers con CNN, el objetivo es reconocer un segemento y recortarlo.")
+    gr.Markdown("# <img src='https://raw.githubusercontent.com/All-Aideas/sea_apirest/main/logo.png' alt='logo' width='250'/>")
     
     with gr.Tabs():
                 
@@ -32,15 +33,13 @@ with demo:
                 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: CricketShot, PlayingCello, Punch, ShavingBeard, TennisSwing")
+            gr.Markdown("**Ejemplos:**")
+            gr.Markdown("El modelo puede clasificar videos pertenecientes a las siguientes clases: CricketShot, PlayingCello, Punch, ShavingBeard, TennisSwing.")
             # 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)
         
     submit_button.click(predict_action, inputs=input_video, outputs=[output_label,output_gif])
-    
-    gr.Markdown('\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')
-    
+
 demo.launch()