Initial Commit

app.py

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+from fastai.vision.all import *
+import gradio as gr
+
+learn = load_learner('architecturemodel.pkl')
+
+categories = ('Achaemenid architecture',
+ 'American Foursquare architecture',
+ 'American craftsman style',
+ 'Ancient Egyptian architecture',
+ 'Art Deco architecture',
+ 'Art Nouveau architecture',
+ 'Baroque architecture',
+ 'Bauhaus architecture',
+ 'Beaux-Arts architecture',
+ 'Byzantine architecture',
+ 'Chicago school architecture',
+ 'Colonial architecture',
+ 'Deconstructivism',
+ 'Edwardian architecture',
+ 'Georgian architecture',
+ 'Gothic architecture',
+ 'Greek Revival architecture',
+ 'International style',
+ 'Novelty architecture',
+ 'Palladian architecture',
+ 'Postmodern architecture',
+ 'Queen Anne architecture',
+ 'Romanesque architecture',
+ 'Russian Revival architecture',
+ 'Tudor Revival architecture')
+
+def classify_image(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 = ['bigben.jpeg','pyramid.jpeg','robiehouse.jpeg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False, share=True)

architecturemodel.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c4d3283733f4e7648eebd6c3c73bfb00c6687b10b8a9f911a156106314787c08
+size 87602593

requirements.txt

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+fastai