app.py

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

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

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

learn = load_learner('dogOrCat.pkl')
categories = ('Dog','Cat')

def classify_image(img):
	prod,idx,probs=learn.predict(img)
	return dict(zip(categories,map(float,probs)))

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

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