Added application code and model

app.py

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+# AUTOGENERATED! DO NOT EDIT! File to edit: ../app.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image']
+
+# %% ../app.ipynb 1
+from fastai.vision.all import *
+import gradio as gr
+
+# %% ../app.ipynb 2
+learn = load_learner('model.pkl')
+
+# %% ../app.ipynb 6
+categories = ('didgeridoo','tambourine','xylophone','acordian','alphorn','bagpipes','banjo','bongo drum','casaba','castanets','clarinet','clavichord','concertina','drums','dulcimer','flute','guiro','guitar','harmonica','harp','marakas','ocarina','piano','saxaphone','sitar','steel drum','trombone','trumpet','tuba','violin')
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories,map(float,probs)))
+
+# %% ../app.ipynb 8
+image = gr.inputs.Image(shape=(224,224))
+label=gr.outputs.Label()
+examples=['banjo.jpg']
+intf = gr.Interface(fn=classify_image,inputs=image,outputs=label,examples=examples)
+intf.launch(inline=False)

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:74ed647357a1c7a6c823426003ac3e675fd8a8f5dd93625185a84015eaea46c0
+size 47081297