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import gradio as gr
import torch
from PIL import Image
model = torch.hub.load('ultralytics/yolov5', 'custom', path='best.pt', force_reload=True)
def detect(image):
results = model(image)
results.render()
return Image.fromarray(results.imgs[0])
inputs = gr.inputs.Image(type='pil', label="Original Image")
outputs = gr.outputs.Image(type="pil", label="Output Image")
title = "Object detection from Infrared image using YOLOv5n"
gr.Interface(detect, inputs, outputs, title=title, theme="huggingface").launch(debug=True)
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