Refactor repository

app.py

@@ -2,12 +2,11 @@ import glob
 
 import gradio as gr
 import tensorflow as tf
-from huggingface_hub import from_pretrained_keras
 
-from predict import predict_label
+from utils.predict import predict_label
 
 ##Create list of examples to be loaded
-example_list = glob.glob("*.mp4")
+example_list = glob.glob("examples/*.mp4")
 example_list = list(map(lambda el:[el], example_list))
 
 demo = gr.Blocks()
@@ -35,7 +34,7 @@ with demo:
 
     submit_button.click(predict_label, inputs=input_video, outputs=output_label)
 
-    gr.Markdown('\n Demo created by: <a href=\"https://huggingface.co/pablorodriper\"> Pablo Rodríguez</a> Based on the Keras example by <a href=\"https://keras.io/examples/vision/vivit/\">Aritra Roy Gosthipaty and Ayush Thakur</a>')
+    gr.Markdown('\n Demo created by: <a href=\"https://huggingface.co/pablorodriper\"> Pablo Rodríguez</a>; Based on the Keras example by <a href=\"https://keras.io/examples/vision/vivit/\">Aritra Roy Gosthipaty and Ayush Thakur</a>')
 
 demo.launch()