import gradio as gr | |
from fastai.vision.all import * | |
learn = load_learner('cat.pkl') | |
categories = ('british shorthair', 'maine coon', 'european shorthair') | |
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 = ['british.jpg', 'maine-coon.jpg', 'european.jpg'] | |
iface = gr.Interface(fn=classify_image, inputs=image, | |
outputs=label, examples=examples) | |
iface.launch() | |