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__all__ = ['learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'demo']
# Cell
from fastai.vision.all import *
import gradio as gr
learn = load_learner('model.pkl')
categories = ('Oslo', 'Warszawa')
def classify_image(img):
pred,idx,probs = learn.predict(img)
return dict(zip(categories, map(float,probs)))
def greet(name, intensity):
return "Hello " * intensity + name + "!"
image = gr.Image()
label = gr.Label()
examples = ['oslo.jpeg', 'warszawa.jpg']
demo = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples);
demo.launch() |