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

learn = load_learner('export.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 = "Cheetah vs Leopard"
enable_queue=True

gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(192,192)),
             outputs=gr.outputs.Label(num_top_classes=2),
             title=title).launch()