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import gradio as gr | |
from fastai.vision.all import * | |
learn = load_learner('model.pkl') | |
learn.remove_cb(ProgressCallback) | |
categories = ('Homelander', 'Omniman', 'Superman') | |
def classify_image(img): | |
pred, index, prob = learn.predict(img) | |
return dict(zip(categories, map(float, prob))) | |
image = gr.inputs.Image(shape=(192, 192)) | |
label = gr.outputs.Label() | |
examples = ['homelander.jpg', 'omniman.jpg', 'superman.jpg'] | |
iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) | |
iface.launch(inline=False) | |