app.py

__all__ = ['is_cat', 'learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf']

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.input.Image(shape = (192,192))
#label = gr.outputs.Label()
examples = ['dog.jpg']


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