app.py

!pip install fastai --q
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,ind,probs=learn.predict(img)
  return dict(zip(categories,map(float,probs)))

image=gr.inputs.Image(shape=(192,192))
label=gr.outputs.Label()


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