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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() |