app.py

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

import subprocess

# Install necessary libraries using pip
subprocess.run(['pip', 'install', '-Uqq', 'fastbook', 'gradio'])

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.Image()
label = gr.Label()
examples = ['1.jpg', '2.jpg','3.jpg']

intf = gr.Interface(fn=classify_image, inputs=image, outputs=label)
intf.launch()