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)))

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

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