Added files

app.py

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+__all__=['learn','classify_image','categories','examples','intf']
+
+import gradio as gr
+
+#load the learner
+learn=load_learner('bear_classifier_myver.pkl')
+
+# define categories
+categories=['Black bear','Grizzly bear','Teddy bear']
+
+# define the function to classify images
+def classify_image(img):
+    pred,idx,probs=learn.predict(img)
+    return dict(zip(categories,map(float,probs)))
+
+# example images
+examples=['grizzly_bear1.jpg','grizzly_bear2.jpg','black+bear1.jpg','black_bear2.jpg','teddy1.jpg','teddy1.jpg']
+
+# creating the interface
+intf=gr.Interface(fn=classify_image,inputs="image",outputs="label",examples=examples)
+intf.launch(inline=False)

bear_classifier_myver.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2a2f26b35bfa797d048c3e6f8ae818dfd5a39fcb8febbde5d5848a8c28e96730
+size 46982442

requirements.txt

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+fastai