refactor for autogen code

app.py

@@ -1,30 +1,29 @@
-__all__ = ['is_grizzly','learn',
-           'classify_image',
-           'categories',
-           'image',
-           'label',
-           'examples',
-           'intf'
-           ]
+# AUTOGENERATED! DO NOT EDIT! File to edit: ../02_production.ipynb.
 
+# %% auto 0
+__all__ = ['categories', 'learn', 'image', 'label', 'file_list', 'stem', 'examples', 'intf', 'classify_image']
+
+# %% ../02_production.ipynb 53
 from fastai.vision.all import *
 import gradio as gr
 
-def is_grizzly(x):
-    return x[0].isupper()
-
+# %% ../02_production.ipynb 55
 categories = ('black','grizzly','teddy')
 
+# %% ../02_production.ipynb 56
 def classify_image(img):
     pred,idx, probs = learn.predict(img)
     return dict(zip(categories, map(float,probs)))
 
-learn = load_learner('export.pkl')
+# %% ../02_production.ipynb 58
+learn = load_learner('model.pkl')
 
 image = gr.components.Image(width=224, height=224)
 label = gr.components.Label()
-examples = ['grizzly.jpg', 'black.jpg', 'teddy.jpg']
+
+file_list = ['grizzly.jpg', 'black.jpg', 'teddy.jpg']
+stem = 'examples/'
+examples = list(map(lambda x: stem + x, file_list))
 
 intf = gr.Interface(fn=classify_image, inputs=image, outputs=label,examples=examples)
 intf.launch(inline=False)
-

export.pkl → model.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:71f955922bfb15b3e5191f246a0008d9fa344a301a19e97cf8f4b4298a42b883
-size 46968254
+oid sha256:58eced61a5122ed4577b0d8da4deae6aa58d8d10bc6a100b4df172fd627a0262
+size 46965298