app.py

# import gradio as gr

# def greet(name):
#     return "Hello " + name + "!!"

# demo = gr.Interface(fn=greet, inputs="text", outputs="text")
# demo.launch()

__all__=['is_cat','learn','classify_images','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_images(img):
    pred,idx,probs=learn.predict(img)
    return dict(zip(categories,map(float,probs)))

image=gr.Image()
label=gr.Label()
examples=['dog.jpg','cat.jpg']

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