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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() |