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

learn = load_learner('ripeorrotten_apple.pkl')

categories = ('ripe', 'rotten')

def classify_image(img):
    pred,idx,probs = learn.predict(img)
    return dict(zip(categories, map(float,probs)))

image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()

intf = gr.Interface(fn=classify_image, inputs=image, outputs=label)
intf.launch()