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

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

def predict(img):
    img = PILImage.create(img)
    pred, pred_idx, probs = learn.predict(img)
    return dict(zip(labels, map(float, probs)))

iface = gr.Interface(
    fn=predict,
    inputs=gr.inputs.Image(shape=(512,512)),
    outputs=gr.outputs.Label(num_top_classes=3)
)

iface.launch()