app.py

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

learner = load_learner('model.pkl')
categories = learner.dls.vocab

def predict(img):
    preds,idx,probs = learner.predict(img)
    return dict(zip(categories,map(float,probs)))

examples = ['Arborio.jpg','Basmati.jpg','Ipsala.jpg','Jasmine.jpg','Karacadag.jpg']


demo = gr.Interface(fn=predict, 
                    inputs=gr.inputs.Image(shape=(224, 224)),
                    outputs= gr.outputs.Label(),
                    examples=examples
                   )
demo.launch(inline=False)