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

def is_cat(x):return x[0].isupper()
learn = load_learner.('model.pkl')
learn.predict(im)
categories = ('Dog', 'Cat')
def classify_image(img):
    pred,idx,probs = learn.predict(img)
    return dict(zip(categories, map(float,probs)))


image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label)
intf.launch()