football analysis using cv skills

app.py

@@ -1,14 +1,15 @@
 import gradio as gr
-import urllib.request
+import gdown
 import os
 
-# Download video if not exists
+# Download video from Google Drive if not exists
 video_path = "output_video.avi"
 if not os.path.exists(video_path):
-    print("Downloading video...")
-    urllib.request.urlretrieve(
-        "https://raw.githubusercontent.com/HarshTomar1234/Field_Fusion/main/output_videos/output_video.avi",
-        video_path
+    print("Downloading video from Google Drive...")
+    gdown.download(
+        "https://drive.google.com/uc?id=1wTchos7ReXpUz1dJU-Bu2f04G9KvDp16",
+        video_path,
+        quiet=False
     )
     print("Download complete!")
 
@@ -18,7 +19,7 @@ with gr.Blocks(title="Field Fusion") as demo:
     
     **Football analysis with 91% detection mAP and 94% tracking accuracy**
     
-    ✅ YOLOv8 player detection • ✅ ByteTrack multi-object tracking • ✅ Team classification • ✅ Ball possession stats
+    ✅ YOLOv8 player detection • ✅ ByteTrack tracking • ✅ Team classification • ✅ Possession stats
     
     [📂 View Full Project on GitHub](https://github.com/HarshTomar1234/Field_Fusion)
     """)

requirements.txt.txt

@@ -1 +1,2 @@
-gradio
+gradio
+gdown