app.py

# vision-space/app.py (Hugging Face + Gradio version of your local code)

import gradio as gr
import cv2
import numpy as np
from ultralytics import YOLO

model = YOLO("best.pt")  # YOLOv10 model trained for smoke/fire

def detect_fire_smoke_from_image(image):
    results = model(image)
    flame_score = 0.0
    smoke_score = 0.0
    person_detected = 0

    for result in results:
        for box in result.boxes:
            label = result.names[int(box.cls)]
            conf = float(box.conf)

            if "fire" in label.lower():
                flame_score = max(flame_score, conf)
            elif "smoke" in label.lower():
                smoke_score = max(smoke_score, conf)
            elif "person" in label.lower():
                person_detected = 1

    return {
        "cv_flame_score": round(flame_score, 3),
        "cv_smoke_score": round(smoke_score, 3),
        "person_detected": person_detected
    }

iface = gr.Interface(
    fn=detect_fire_smoke_from_image,
    inputs=gr.Image(type="numpy"),
    outputs="json",
    title="Vison Model for Fire, Smoke, and Person Detection",
    description="Upload or stream an image from video feed for real-time detection."
)
if __name__ == "__main__":
    iface.launch(inline=False)