ai

app.py

@@ -1,6 +1,7 @@
 import gradio as gr
 
 import os
+import numpy as np
 
 from utils import read_video, save_video
 from trackers import Tracker
@@ -84,11 +85,17 @@ def process_video(input_video):
 
 
 # Gradio Interface
+title="Football Match Analytics with YOLO and OpenCV"
+description="This tool processes football game videos to track player movements, team assignments, ball possession, speed, distance, and camera movement. <br> Original Reference: https://www.youtube.com/watch?v=neBZ6huolkg"
+
+examples = ["input_videos/121364_0_small.mp4"]
+
 interface = gr.Interface(fn=process_video,
-                            inputs=gr.Video(label="Upload Video (mp4, avi, mov)"),
+                            inputs=gr.Video(label="Upload Video (mp4, avi, mov) Max: 30sec"),
                             outputs=gr.Video(label="Processed Video"),
+                            examples=examples,
                             live=False,  # No live update to avoid real-time processing issues
-                            title="Football Match Analytics with YOLO and OpenCV",
-                            description="This tool processes football game videos to track player movements, team assignments, ball possession, speed, distance, and camera movement. <br> Original Reference: https://www.youtube.com/watch?v=neBZ6huolkg&t=15083s")  # Allow users to download the processed video
+                            title=title,
+                            description=description)  # Allow users to download the processed video
 
 interface.launch(debug=True, show_error = True)