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from fastai.vision.all import * | |
import gradio as gr | |
__all__ = ['is_rock', 'learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf'] | |
def is_rock(x): return x[0].issuper() | |
learn = load_learner(str('rps_model.pkl')) | |
categories = ('paper', 'rock', 'scissors') | |
def classify_images(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 = ['rock.jpg', 'paper.jpg', 'scissor.jpg'] | |
intf = gr.Interface(fn = classify_images, inputs = image, outputs = label, examples = examples) | |
intf.launch(inline=False) |