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import gradio as gr
from fastai.vision.all import *
import skimage
learn = load_learner('export 1.pkl')
labels = learn.dls.vocab
def predict(img):
img = PILImage.create(img)
pred,pred_idx,probs = learn.predict(img)
prediction = str(pred)
return prediction
title = "Klasyfikator obrazowania"
description = "<p style='text-align: center'><b><b><br><b><b><p>"
article="<p style='text-align: center'>Web app developer: Łukasz Wiśniewski<b></p>"
examples = ['img 1.png', 'img 2.png']
enable_queue=True
#interpretation='default'
gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description,article=article,examples=examples,enable_queue=enable_queue).launch()
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