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Browse files- .gitattributes +1 -0
- app.py +17 -4
- cat.jpg +0 -0
- dog.jpg +0 -0
- dunno.jpg +0 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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model.pkl filter=lfs diff=lfs merge=lfs -text
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app.py
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import gradio as gr
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return "Hello " + name + "!!";
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demo.launch();
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import gradio as gr
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from fastai.vision.all import *;
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def is_cat(x):
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return x[0].isupper();
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learner = load_learner('model.pkl');
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categories = ('Dog', 'Cat');
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def classify_image(img):
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pred, idx, probs = learner.predict(img);
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return dict(zip(categories, map(float, probs)))
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image = gr.inputs.Image(shape=(192,192));
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label = gr.outputs.Label();
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examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg'];
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intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples);
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intf.launch(inline=False);
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cat.jpg
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![]() |
dog.jpg
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![]() |
dunno.jpg
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