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app.py

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+
+from fastai.vision.all import *
+import gradio as gr
+
+learn = load_learner('export.pkl')
+
+categories = learn.dls.vocab
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+image = gr.components.Image(shape=(192, 192))
+label = gr.components.Label()
+examples = ['mbira_dzavadzimu.jpg', 'mbira_matepe.jpg', 'mbira_nyunga_nyunga.jpg.webp']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)

export.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ecd541f7875e37f2b38aefa644a9d308f64997811934abeccf913069532e35c6
+size 46969487

requirements.txt

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+fastai