change

app.py

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+# AUTOGENERATED! DO NOT EDIT! File to edit: test.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'inf', 'classify_img']
+
+# %% test.ipynb 2
+from fastai.vision.all import *
+import gradio as gr
+
+# %% test.ipynb 4
+learn = load_learner('model.pkl')
+
+# %% test.ipynb 5
+categories = ('Art Deco', 'Baroque', 'Classical', 'Craftsman', 'Gothic', 'Renaissance', 'Tudor', 'Victorian')
+
+def classify_img(img):
+    pred,idx,probs = learn.predict(img)
+    # Convert each tensor probability to a float properly
+    return dict(zip(categories, map(float, probs)))
+
+# %% test.ipynb 8
+# Define Gradio interface
+image = gr.Image(image_mode="RGB", type="pil")
+label = gr.Label()
+examples = ['classical.jpg', 'artdec.jpg', 'victorian.jpeg']
+
+inf = gr.Interface(fn=classify_img, inputs=image, outputs=label, examples=examples)
+
+# Launch the app
+inf.launch(inline=False)

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d95a869c1fbaf4a59efa27830b83b708baf3e972b790c844ce08e564ce885633
+size 46997310

requirements.txt

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+fastai