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import gradio as gr
from fast.vision.all import *
learn = load_learner('plaza.pkl')
categories = ('españa','berlin', 'new york times square', 'dublin', 'miami beach')
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 = ['riuplazaberlin.jpg', 'riuplazaberlin.jpg', 'riuplazamiami.jpg']
iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
iface.launch() |