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 = ['dog.jpg', 'cat.jpg', 'dunno.jpg']
 
 intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
 intf.launch(inline=false)