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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) |