app.py

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

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


def predict(img):
 img = PILImage.create(img).to_thumb(512, 512)
 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=3)
).launch()