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

learn=load_learner("model.pkl")
examples=[["margherita.jpg"],["paneer.jpg"],["paneer1.jpeg"],["paneer2.jpg"],["paneer3.jpg"],["paneer4.jpeg"],["paneer5.jpeg"]]
categories=('margherita pizza','pepperoni pizza','paneer pizza','hawaiian pizza','greeek pizza')
def classify_img(img):
    pred,idx,probs=learn.predict(img)
    return dict(zip(categories,map(float,probs)))

image=grc.Image(shape=(192,192))
label=grc.Label()
intf=gr.Interface(fn=classify_img,inputs=image,outputs=label,examples=examples)
intf.launch()