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import gradio as gr
from fastai.vision.all import *
learn = load_learner('bedroom_or_kitchen.pkl', 'rb')
categories = ("Bedroom", "Kitchen")
def classify_image(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 = ['bedroom.jpg', 'quarto.jpg']
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch() |