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


def is_cat(x): return x[0].isupper()

learn = load_learner('model.pkl')
labels = learn.dls.vocab
def predict(img):
    img = PILImage.create(img)
    pred,pred_idx,probs = learn.predict(img)
    logging.info(pred, probs)
    return {labels[i]: float(probs[i]) for i in range(len(labels))}

demo = gr.Interface(
  fn=predict,
  inputs=gr.Image(),
  outputs=gr.Label(num_top_classes=3)
)

demo.launch()