import gradio as gr
import cv2
from detect_people import detect_people_from_image
from table_occupancy import is_table_occupied
from face_utils import recognize_face
from db import get_table_status, log_customer_visit, get_alerts

# 🌐 API test route via Gradio UI
def analyze_image(image):
    people = detect_people_from_image(image)
    seated = is_table_occupied(image)
    role = recognize_face(image)
    return f"People: {people}, Seated: {seated}, Face Match: {role}"

demo = gr.Interface(fn=analyze_image, inputs="image", outputs="text")

# Start the Gradio app
if __name__ == "__main__":
    demo.launch()