added files

app.py

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+__all__ = ['learn', 'categories', 'classifier', 'image', 'label', 'examples', 'intf']
+
+
+
+from fastcore.all import *
+from fastdownload import download_url
+from fastai.vision.all import *
+import gradio as gr
+
+learn = load_learner('model.pkl')
+
+categories = ('Great Wall of China', 'Chichén Itzá', 'Petra', 'Machu Picchu', 'Christ the Redeemer', 'Colosseum', 'Taj Mahal')
+
+def classifier(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ['great.jpg', 'chic.jpg', 'petra.jpg', 'machu.jpg', 'ch.jpg', 'colo.jpg', 'taj.jpg']
+
+intf = gr.Interface(fn = classifier, inputs = image, outputs = label, examples = examples)
+intf.launch(inline = False)

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:976d9a30f5335796e89a564d8afaee423f7749fc7e02cc0144b81d8bed38a2aa
+size 46967633

requirements.txt

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+torch <1.12
+fastai>2.6.1
+timm
+