app.py

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

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))}

examples = ["./examples/panda.jpg", "./examples/not_a_panda.jpg"]
iface = gr.Interface(fn=predict, inputs="image", outputs="label", examples=examples).launch(share=True)