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import gradio as gr | |
from video_processor import process_video | |
import os | |
def analyze_lbw(video): | |
"""Analyze a video for LBW detection, return processed video path and decision.""" | |
output_path, decision = process_video(video) # Updated to handle multiple returns | |
return output_path, decision | |
app = gr.Interface( | |
fn=analyze_lbw, | |
inputs=gr.Video(label="Upload Cricket Clip"), | |
outputs=[gr.Video(label="LBW Analysis Output"), gr.Textbox(label="Decision")], | |
title="Smart LBW Decision System", | |
description="Upload a short video to analyze LBW using AI-powered object detection and tracking" | |
) | |
if __name__ == "__main__": | |
app.launch() |