app.py

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

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

# learner refers to this function
def is_cat(x): return x[0].isupper()

# the model we trained for cat vs dog classification
learn = load_learner('model.pkl')

# function to be used in gradio interface
categories = ('Dog', 'Cat')

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

# gradio interface
image = 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)