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.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ['dog1.jpg', 'dog2.jpg', 'cat1.webp', 'cat1.jpg', 'cat2.jpg']

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