app.py

import gradio as gr
from FootDetection import FootDetection

# Initialize model (first run will auto-download weights)
foot_detection = FootDetection("cpu")  # "cuda" for GPU  or "mps" for App

def detect(img, threshold):
    results = foot_detection.detect(img, threshold=threshold)
    img_with_boxes = foot_detection.draw_boxes(img)
    return img_with_boxes

demo = gr.Interface(fn=detect, 
                    inputs=[gr.Image(label='Input', type='pil'), gr.Slider(label='Threshold', minimum=0.0, maximum=1.0, value=0.3)], 
                    outputs=gr.Image(label='Result', type='pil'))
demo.launch()