from fastai.vision.all import *
import gradio as gr

def is_cat(x):
    return x[0].isupper()

learn = load_learner('model.pkl')

categories = ("Dog","Cat")

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


intf = gr.Interface(fn=classify_image, inputs=gr.Image(width=192, height=192), outputs=gr.Label(), examples=['dog.jpg','cat.jpg'])
intf.launch(inline=False)