app.py

import cv2
import gradio as gr
import tempfile
from ultralytics import YOLO

model = YOLO("yolov8n-pose.pt")

def process_video(video_path):
    cap = cv2.VideoCapture(video_path)
    w = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
    h = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
    fps = cap.get(cv2.CAP_PROP_FPS)

    out_file = tempfile.NamedTemporaryFile(delete=False, suffix=".mp4")
    out = cv2.VideoWriter(
        out_file.name,
        cv2.VideoWriter_fourcc(*"mp4v"),
        fps,
        (w, h)
    )

    while cap.isOpened():
        ret, frame = cap.read()
        if not ret:
            break

        results = model(frame, verbose=False)

        for r in results:
            frame = r.plot()

        out.write(frame)

    cap.release()
    out.release()
    return out_file.name

gr.Interface(
    fn=process_video,
    inputs=gr.Video(label="Upload Video"),
    outputs=gr.Video(label="Pose Detection Output"),
    title="🎥 YOLOv8 Video Pose Detection"
).launch()