app.py

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

learn = load_learner('export.pkl')
labels = learn.dls.vocab

def predict(img):
  img = PILImage.create(img)
  pred, pred_idx, probs = learn.predict(img)
  return {labels[i]: float(probs[i]) for i in range(len(labels))}

gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=2)).launch(share=True)