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__all__ = ['learn', 'categories', 'classifier', 'image', 'label', 'examples', 'intf'] | |
from fastcore.all import * | |
from fastdownload import download_url | |
from fastai.vision.all import * | |
import gradio as gr | |
learn = load_learner('model.pkl') | |
categories = ('Great Wall of China', 'Chichén Itzá', 'Petra', 'Machu Picchu', 'Christ the Redeemer', 'Colosseum', 'Taj Mahal') | |
def classifier(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 = ['great.jpg', 'chic.jpg', 'petra.jpg', 'machu.jpg', 'ch.jpg', 'colo.jpg', 'taj.jpg'] | |
intf = gr.Interface(fn = classifier, inputs = image, outputs = label, examples = examples) | |
intf.launch(inline = False) | |