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

learn = load_learner("export.pkl")

categories = ("Benign", "Malignant")

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

image = gr.Image()
label = gr.Label()
examples = ['benign.jpg','malignant.jpg']
title = 'Skin Cancer Predictor'
description = 'This app predicts skin cancer. For reference only.'

intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples, title=title, description=description)
intf.launch(inline=False)