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

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

categories = ('Dog', 'Cat')

learn = load_learner('model.pkl')

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


input = gr.inputs.Image(shape=(192, 192))    
output = gr.outputs.Label()
examples = ['dog.jiff', 'cat.jiff', 'dunno.jiff']

gr.Interface(fn=predict, inputs=input, outputs=output, examples=examples).launch(share=False)