app.py

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

learn = load_learner('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))}

import gradio as gr
gr.Interface(fn=predict, inputs="image", outputs="text").launch(share=True)