initial commit

app.py

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+__all__ = ['get_y','learn', 'classify_images', 'image', 'label',
+'intf']
+
+import fastai
+from fastai.vision.all import*
+import gradio as gr
+
+def get_y(o):
+  return [o.parent.name]
+
+learn = load_learner('multi_label_owl.pkl')
+
+# categories = ('barn', 'barred', 'snowy')
+
+def classify_images(img):
+    pred,idx,probs = learn.predict(img)
+    idxs = torch.where(probs>0.95)
+    if len(idxs[0])==0:
+        return 'None'
+    else:
+        return learn.dls.vocab[idxs][0]
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+
+intf = gr.Interface(fn=classify_images, inputs=image, outputs=label)
+intf.launch(inline=False)

multi_label_owl.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e1b18198170698e8c3ee965a90b5db101d88bc160bab441d9c81f49547619d69
+size 87478053

requirements.txt

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+fastai == 2.7.9
+gradio