done?

.gitignore

@@ -0,0 +1,2 @@
+notebook2script.py
+02_exp_app.ipynb

app.py

@@ -1,30 +1,29 @@
-__all__ = ['is_sea','learn','classify_image','categories','image','label','examples','intf']
+# AUTOGENERATED! DO NOT EDIT! File to edit: ../02_exp_app.ipynb.
 
+# %% auto 0
+__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_sea', 'classify_image']
+
+# %% ../02_exp_app.ipynb 1
 from fastai.vision.all import *
 import gradio as gr
-import pathlib
-import platform
 
 def is_sea(x) : return x[0].isupper()
 
-# Check the platform
-plt = platform.system()
-
-# If the platform is Linux, redirect WindowsPath to PosixPath
-if plt == 'Linux':
-    pathlib.WindowsPath = pathlib.PosixPath
-
+# %% ../02_exp_app.ipynb 3
 learn = load_learner('export.pkl')
 
+# %% ../02_exp_app.ipynb 5
 categories = ('River', "Sea", "Stuffed")
 
 def classify_image(img):
     pred,idx,probs = learn.predict(img)
     return dict(zip(categories,map(float,probs)))
 
+# %% ../02_exp_app.ipynb 7
 image = gr.inputs.Image(shape = (192,192))
 label = gr.outputs.Label()
 examples = ['images/seaotter.jpg' , 'images/riverotter.jpg' , 'images/stuffedotter.jpg']
 
 intf = gr.Interface(fn=classify_image, inputs=image,outputs=label,examples=examples)
 intf.launch(inline=False)
+