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from fastai.vision.all import *
import gradio as gr
model_inf=load_learner('export.pkl')
categories=('Art Deco','Byzantine','Gothic','Neoclassical')
def image_classifier(img):
pred,pred_idx,probs = model_inf.predict(img)
return dict(zip(categories,map(float,probs)))
examples_arch=['ArtDeco.jpg','Byzantine.jpg','Gothic.jpg','Neoclassical.jpg']
intrf=intrf = gr.Interface(
fn=image_classifier,
inputs=gr.Image(width=192, height=192), # Updated syntax
outputs=gr.Label(num_top_classes=4), # Updated syntax
examples=examples_arch
)
intrf.launch(inline=False) |