File size: 491 Bytes
49b8921 022ab5f 44f54dd 611821d 022ab5f 49b8921 022ab5f 49b8921 022ab5f 44f54dd 49b8921 44f54dd 022ab5f 4343d94 44f54dd 49b8921 44f54dd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | from fastai.vision.all import *
import gradio as gr
import skimage
learn = load_learner('model.pkl')
categories = ('Normal', 'Cancer')
def classify_image(img):
pred,idx,probs = learn.predict(img)
return dict(zip(categories, map(float,probs)))
image = gr.inputs.Image()
label = gr.outputs.Label()
examples = ['Cancer.png']
interpretation='default'
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples, interpretation=interpretation)
intf.launch() |