app.py

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


learn = load_learner('231107_model.pkl')


image = gr.Image(height=192, width=192)
label = gr.Label()
examples = ['dog.jpg', 'cat.jpg']


categories = ('Cat', 'Dog')


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


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