app.py

import gradio as gr
import torch

model = torch.hub.load('ultralytics/yolov5', 'custom', path='best.pt')
# Define the face detector function
def detect_faces(image):
   # Loading in yolov5s - you can switch to larger models such as yolov5m or yolov5l, or smaller such as yolov5n
    results = model(image)

    return results.render()[0]

# Create a Gradio interface
iface = gr.Interface(fn=detect_faces, inputs="image", outputs="image")

# Launch the interface
iface.launch(share=True)