app.py

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

learn = load_learner('bears_model.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="image",outputs="label").launch()