app.py

from fastai.vision.all import *

learn = load_learner('model.pkl')

# labels = learn.dls.vocab
labels = ('Shaheen', 'Saker')

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

examples = ['shaheen.jpg', 'saker.jpg']
gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3), examples=examples).launch(inline=False)