soccer analysis using cv skills

app.py

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+import gradio as gr
+import urllib.request
+import os
+
+# Download video 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("Download complete!")
+
+with gr.Blocks(title="Field Fusion") as demo:
+    gr.Markdown("""
+    # ⚽ Field Fusion - Football Match Analysis
+    
+    **Football analysis with 91% detection mAP and 94% tracking accuracy**
+    
+    ✅ YOLOv8 player detection • ✅ ByteTrack multi-object tracking • ✅ Team classification • ✅ Ball possession stats
+    
+    [📂 View Full Project on GitHub](https://github.com/HarshTomar1234/Field_Fusion)
+    """)
+    
+    gr.Video(value=video_path, label="Field Fusion Analysis Demo", autoplay=True)
+
+demo.launch()

requirements.txt.txt

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+gradio