deploy papu vs beckham classifier to huggingface spaces

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))}
+
+title = "Papu vs. Beckham"
+description = "Clasificador de imágenes de Papu Gomez y David Beckham. Son tan parecidos qué tuvimos que crear un clasificador basado en inteligencia artificial para distinguirlos.\n(Created with fastai as a demo for Gradio and HuggingFace Spaces)"
+article="<p style='text-align: center'><a href='https://www.ole.com.ar/seleccion/messi-kun-aguero-papu-gomez-beckham-corte-pelo-twitch_0_y5GKfj2QAr.html' target='_blank'>Blog post</a></p>"
+examples = ['images/beckham.jpg']
+interpretation='default'
+enable_queue=True
+
+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,interpretation=interpretation,enable_queue=enable_queue).launch()

export.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ed345729cc1932ae4b7b609e40620474dcf2d68c7428676bcaf52fb0f6717f00
+size 46961679

requirements.txt

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+fastai
+scikit-image