radcliffe-wood / app.py
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Create app.py
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import gradio as gr
from fastai.vision.all import *
import skimage
learn = load_learner('export.pkl')
labels = learn.dls.vocab
def predict(img):
img = PILImage.create(img)
pred,pred_idx,probs = learn.predict(img)
return {labels[i]: float(probs[i]) for i in range(len(labels))}
# cambiar t铆tulo
title = "驴Daniel o Elijah?"
# cambiar descripci贸n
description = "Si necesitas ayuda para distinguir a Daniel Radcliffe y Elijah Wood, este es tu sitio. Puede que no sea perfecto, pero menos es nada."
interpretation='default'
enable_queue=True
gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=2),title=title,description=description,interpretation=interpretation,enable_queue=enable_queue).launch()