from fastai.vision import *
from fastai.data.external import *
import gradio as gr

learn = load_learner('lung.pkl')

categories = ('ACA', 'Benign', 'SCC')

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

image = gr.inputs.Image(shape=(768, 768))
label = gr.outputs.Label()
examples = ['lungaca.jpeg', 'lungn.jpeg', 'lungscc.jpeg']

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