__all__=['is_cat','learner','classify_image','categories','image','label','examples','intf']
import gradio as gr
from fastai.vision.all import *
def is_cat(x): return x[0].isupper()

example=['dog.jpg','cat.jpg','cat_dog.jpg']

categories=('dog','cat')
def resize_image(image):
    # Resize the image to 192x192 pixels
    return image.resize((192, 192))

learner=load_learner('model.pkl')


def classify_image(img):
    pred,idx,prob=learner.predict(img)
    return dict(zip(categories,map(float,prob)))


image=gr.Image(width=192,height=192)
label=gr.Label()

intf=gr.Interface(fn=classify_image,inputs=image,outputs=label,examples=example)


intf.launch(inline=False)