app.py

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 = process_video(video)
    # Extract decision from the last processed frame (assuming it's the final decision)
    # This requires the video_processor to return or modify to track the decision
    decision = "Pending"  # Placeholder; will be updated in video_processor
    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()