app.py

import gradio as gr
# To solve problems with pathlib in load_learner
import pathlib
import platform
plt = platform.system()
if plt == 'Linux': pathlib.WindowsPath = pathlib.PosixPath

from fastai.vision.all import load_learner, PILImage

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))}

title = "Panettone or Pandoro?"
description = "A prototype classifier developed with fastaiwith images from ddg."
examples = [r'examples/panettone_01.jpg',
            r'examples/panettone_02.jpg',
            r'examples/pandoro_01.jpg',
            r'examples/pandoro_02.jpg'
            ]

title = "Panettone or Pandoro?"

demo = gr.Interface(fn=predict, inputs="image",
                     outputs="label",
                     examples=examples,
                     title = title )
demo.launch()