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,
                    title='Foot Detection',
                    description="""by [Tony Assi](https://www.tonyassi.com/)
                    
                    A lightweight Python module for detecting feet or shoes in images using a fine-tuned Faster R-CNN model (PyTorch + Torchvision).

                    [![Model](https://img.shields.io/badge/%F0%9F%A4%97-Models-yellow)](https://huggingface.co/tonyassi/foot-detection)

                    [![Github](https://img.shields.io/badge/Github-Repo-blue)](https://github.com/TonyAssi/foot-detection)
                    """,
                    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()