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from fastai.vision.all import load_learner
import gradio as gr
art_labels= [
"Art Nouveau",
"Constructivism Art",
"Cubism Art",
"Dadaism Art",
"Fauvism Art",
"Gothic Art",
"Minimalism Art",
"Pointillism Art",
"Pop Art",
"Prehistoric Art"
]
model = load_learner('models/artStyle_recognizer-v5.pk1')
def recognize_image(image):
pred, idx, probs = model.predict(image)
return dict(zip(art_labels, map(float, probs)))
image = gr.inputs.Image()
label = gr.outputs.Label()
example = [
'Art Nouvaeu.jpg',
'Constructivism art.jpg',
'Fauvism art.jpg',
'Gothic art.jpeg',
'Minimalistic art.jpg'
]
iface = gr.Interface(fn = recognize_image, inputs= image, outputs = label, examples = example)
iface.launch(inline=False, share=True)
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