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from fastai.vision.all import * | |
import gradio as gr | |
def classify(the_image): | |
prediction, index, probs = learn.predict(the_image) | |
probs_floats = map(float, probs) | |
cat_probs = zip(categories, probs_floats) | |
return dict(cat_probs) | |
learn = load_learner('architecture_model.pkl') | |
categories = learn.dls.vocab | |
image = gr.Image(type='pil') | |
label = gr.Label() | |
examples = ['tudor_cottage.jpg', 'georgian_terrace.jpg'] | |
intf = gr.Interface(fn=classify, inputs=image, outputs=label, examples=examples, title="Architecture Classifier") | |
intf.launch(inline=False) | |