update from

app.py

@@ -13,7 +13,7 @@ __all__ = ['learn_inf', 'categories', 'image', 'label', 'examples', 'enable_queu
 #!pip install pipreqs
 #!pip install nbconvert
 
-#import pathlib
+"""import pathlib"""
 import fastbook
 import gradio as gr
 import nbdev
@@ -22,9 +22,9 @@ import os
 import pipreqs
 import nbconvert
 fastbook.setup_book()
-"""
-from pathlib import Path
 
+"""from pathlib import Path"""
+"""
 plt = os.name
 print(plt)
 
@@ -44,11 +44,25 @@ from fastai.vision.all import *
 from time import sleep
 from fastcore.net import urljson, HTTPError
 
+from contextlib import contextmanager
+"""import pathlib
 
+@contextmanager
+def set_posix_windows():
+    posix_backup = pathlib.PosixPath
+    try:
+        pathlib.PosixPath = pathlib.WindowsPath
+        yield
+    finally:
+        pathlib.PosixPath = posix_backup
+"""
 
-# %% model.ipynb 50
-learn_inf = load_learner('./export.pkl')
 
+# %% model.ipynb 50
+"""with open(os.path.join('./export.pkl'), 'rb') as f:
+    f.read()"""
+learn_inf = load_learner(os.path.join('./export.pkl'), 'rb')
+#__model = pickle.load(open(os.path.join('./export.pkl'), 'rb'))
 
 # %% model.ipynb 54
 categories = ('car','truck','toy car')

export.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:78855c5797309af1f8c6e7f2f0c642fcd5f6674d8fea601a4204fa92109b51e3
+oid sha256:8786c3954eee04d919dafa21689132a2df7a017e1b53f4d6a0348fa0e32f062c
 size 46973327

models/tmpcm3iwc3l/_tmp.pth

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:e1345d0a7f71b959190ddf88e7944cf9edef0a3f7e652320de98958a46db5bff
-size 46907239