# !pip install -Uqq fastbook

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

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

learn = load_learner('export.pkl')

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(inline=False)