app.py

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

def analyze_video(video_file):
    # Save uploaded file to temp location
    temp_dir = tempfile.mkdtemp()
    video_path = os.path.join(temp_dir, video_file.name)
    with open(video_path, 'wb') as f:
        f.write(video_file.read())
    
    # Run both detection functions
    fight_result = fight_detec(video_path, debug=False)
    yolo_result = detection(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()