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

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))}

examples = ['radiatori.jpeg', 'fusilli.jpeg', 'fetuccini.jpeg', 'lasagna.jpeg', 'orzo.jpeg']

description = "# 🍝 PASTA MACHINE 🍝  -  the pasta AI"
gr.Interface(fn=predict, description=description, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3), examples=examples).launch(share=False)