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.gitattributes

@@ -32,3 +32,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+bears_model.pk1 filter=lfs diff=lfs merge=lfs -text
+grizzly_bear.jpeg filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,20 @@
+__all__ = ['is_cat', 'learner_pets', 'categories', 'classify_pet', 'image', 'label', 'examples', 'intf']
+
+from fastai.vision.all import *
+import gradio as gr
+
+
+learner_bears = load_learner('bears_model.pk1')
+categories = ['teddy bear', 'grizzly bear', 'black bear']
+
+def classify_bears(img):
+  prediction, index, probability = learner_bears.predict(img)
+  return dict(zip(categories, map(float, probability)))
+
+intf = gr.Interface(fn=classify_bears,
+             inputs=gr.Image(shape=(192, 192)),
+             outputs=gr.Label(),
+             examples=['grizzly_bear.jpeg', 'black_bear.jpeg, 'teddy_bear.jpeg', 'not_sure.jpeg'])
+intf.launch(inline=False)
+
+

bears_model.pk1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f0b8bebf6d799cd17154430a5533e5568539e654219e45800abdf357f139d65a
+size 46975009

requirements.txt

@@ -0,0 +1,9 @@
+{\rtf1\ansi\ansicpg1252\cocoartf2706
+\cocoatextscaling0\cocoaplatform0{\fonttbl\f0\fswiss\fcharset0 Helvetica;}
+{\colortbl;\red255\green255\blue255;}
+{\*\expandedcolortbl;;}
+\margl1440\margr1440\vieww11520\viewh8400\viewkind0
+\pard\tx720\tx1440\tx2160\tx2880\tx3600\tx4320\tx5040\tx5760\tx6480\tx7200\tx7920\tx8640\pardirnatural\partightenfactor0
+
+\f0\fs24 \cf0 fastai\
+gradio}