app.py

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.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['Benign 1.jpg','Benign 2.jpg','Benign 3.jpg', 'Malignant 1.jpg', 
            'Malignant 2.jpg', 'Malignant 3.jpg']

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