Delete app.py

app.py

@@ -1,46 +0,0 @@
-import gradio as gr
-from utils.predict import predict_action
-import os
-import glob
-
-##Create list of examples to be loaded
-example_list = glob.glob("examples/*")
-example_list = list(map(lambda el:[el], example_list))
-
-
-demo = gr.Blocks()
-
-
-with demo:
-    
-    gr.Markdown("# **<p align='center'>Video Segmentación 🎥</p>**")
-    gr.Markdown("Demo de clasificador de video, el objetivo es reconocer un segmento y recortarlo.")
-  
-    with gr.Tabs():
-                
-        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)
-            
-            gr.Markdown("**Predict**")
-            
-            with gr.Box():
-                with gr.Row():
-                    submit_button = gr.Button("Submit")
-            
-            gr.Markdown("**Examples:**")
-            gr.Markdown("El modelo esta entrenado para clasificar entre: 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])
-    
-    
-    
-demo.launch()