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)))

image = gr.inputs.Image(shape=(192,192))
lebel = gr.outputs.Label()
examples = ['dog.jpg','cat.jpg','dunno.jpg']

intf  = gr.Interface(fn=classify_image, inputs=image, outputs=lebel,examples=examples)
intf.launch(inline=False)