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

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))}

input = gr.inputs.Image()
outputs = gr.outputs.Textbox()
iface = gr.Interface(fn=predict, inputs=input, outputs=outputs,
        examples=['./elon-musk-12.jpg.webp', './iu.jpeg', './elonwario.jpeg', 'jeffbezos.jpg']
)
iface.launch()