solving pathlib platform system

app.ipynb

@@ -9,7 +9,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -24,7 +24,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -35,7 +35,7 @@
        "PILImage mode=RGB size=144x192"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -48,22 +48,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
     "#|export\n",
     "\n",
     "import pathlib\n",
-    "temp = pathlib.PosixPath\n",
-    "pathlib.PosixPath = pathlib.WindowsPath\n",
+    "plt = platform.system()\n",
+    "if plt == 'Windows': pathlib.PosixPath = pathlib.WindowsPath\n",
     "\n",
     "learn = load_learner('model.pkl')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -95,14 +95,7 @@
     },
     {
      "data": {
-      "text/html": [
-       "\n",
-       "    <div>\n",
-       "      <progress value='0' class='' max='1' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      0.00% [0/1 00:00&lt;?]\n",
-       "    </div>\n",
-       "    "
-      ],
+      "text/html": [],
       "text/plain": [
        "<IPython.core.display.HTML object>"
       ]
@@ -116,7 +109,7 @@
        "('False', tensor(0), tensor([0.9858, 0.0142]))"
       ]
      },
-     "execution_count": 26,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -127,7 +120,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -141,7 +134,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -187,7 +180,7 @@
        "{'Dog': 0.9858279228210449, 'Cat': 0.01417205948382616}"
       ]
      },
-     "execution_count": 28,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -198,15 +191,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Running on local URL:  http://127.0.0.1:7865\n",
-      "Running on public URL: https://700720f52cb98fbeb0.gradio.live\n",
+      "Running on local URL:  http://127.0.0.1:7860\n",
+      "Running on public URL: https://959b4f16bef7ca2aae.gradio.live\n",
       "\n",
       "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n"
      ]
@@ -215,7 +208,7 @@
      "data": {
       "text/plain": []
      },
-     "execution_count": 29,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -233,7 +226,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -242,7 +235,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -251,7 +244,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -274,7 +267,7 @@
        "       requires_grad=True)"
       ]
      },
-     "execution_count": 32,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -297,7 +290,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {

app.py

@@ -1,7 +1,7 @@
 # AUTOGENERATED! DO NOT EDIT! File to edit: ../app.ipynb.
 
 # %% auto 0
-__all__ = ['temp', 'learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_image']
+__all__ = ['plt', 'learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_image']
 
 # %% ../app.ipynb 1
 # creating a python image library from the image
@@ -12,8 +12,8 @@ def is_cat(x): return x[0].isupper()
 
 # %% ../app.ipynb 3
 import pathlib
-temp = pathlib.PosixPath
-pathlib.PosixPath = pathlib.WindowsPath
+plt = platform.system()
+if plt == 'Windows': pathlib.PosixPath = pathlib.WindowsPath
 
 learn = load_learner('model.pkl')
 

app/app.py

@@ -1,7 +1,7 @@
 # AUTOGENERATED! DO NOT EDIT! File to edit: ../app.ipynb.
 
 # %% auto 0
-__all__ = ['temp', 'learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_image']
+__all__ = ['plt', 'learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_image']
 
 # %% ../app.ipynb 1
 # creating a python image library from the image
@@ -12,8 +12,8 @@ def is_cat(x): return x[0].isupper()
 
 # %% ../app.ipynb 3
 import pathlib
-temp = pathlib.PosixPath
-pathlib.PosixPath = pathlib.WindowsPath
+plt = platform.system()
+if plt == 'Windows': pathlib.PosixPath = pathlib.WindowsPath
 
 learn = load_learner('model.pkl')