app.py

import gradio as gr
import os
import tempfile
from Fight_detec_func import fight_detec
from objec_detect_yolo import detect_objects_in_video

def analyze_video(video_path):
    temp_dir = "/tmp"
    output_path = os.path.join(temp_dir, "output.mp4")

    # Call your fight and object detection functions
    fight_result = fight_detec(video_path)
    crime_result, annotated_video_path = detect_objects_in_video(video_path)

    return {
        "Fight": fight_result,
        "Crime": crime_result,
        "Output Video": annotated_video_path
    }

    
    # Clean up
    os.remove(video_path)
    os.rmdir(temp_dir)
    
    return {
        "Fight Detection": fight_result[0],
        "YOLO Object Detection": yolo_result
    }

iface = gr.Interface(
    fn=analyze_video,
    inputs=gr.Video(label="Upload Video"),
    outputs=gr.JSON(label="Detection Results"),
    title="Fight and Object Detection System",
    description="Upload a video to detect fights and objects using our AI models"
)

iface.launch()