app.py

import streamlit as st
import cv2
import numpy as np
from ultralytics import YOLO

# Load the YOLO model
model = YOLO("best.pt")  # Ensure the path to your model is correct

# Set the title of the app
st.title("Live Fire Detection App")

def capture_video():
    """Attempts to capture video from the default camera (index 0).

    Returns:
        cv2.VideoCapture: The video capture object if successful, None otherwise.
    """

    cap = cv2.VideoCapture(0)

    if not cap.isOpened():
        print("Error: Could not open video capture device.")
        return None

    return cap

# Capture video
cap = capture_video()
if cap is None:
    # Handle capture failure gracefully
    exit()

while True:
    ret, frame = cap.read()

    if not ret:
        print("Error: Could not read frame.")
        break

    # Process the frame here (e.g., display, save, analyze)
    cv2.imshow('Frame', frame)

    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

# Release resources
cap.release()
cv2.destroyAllWindows()