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):
    #g = (size / max(im.size))  # gain
   # im = im.resize((int(x * g) for x in im.size), Image.ANTIALIAS)  # resize

    results = model(image)  # inference
    results.render()  # updates results.imgs with boxes and labels
    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)