[Fix] system posixpath runtime error

Bearify_nb.ipynb

@@ -29,8 +29,11 @@
    "outputs": [],
    "source": [
     "#|export\n",
-    "from fastai.vision.all import *\n",
-    "import gradio as gr"
+    "import os\n",
+    "import pathlib\n",
+    "\n",
+    "import gradio as gr\n",
+    "from fastai.vision.all import *"
    ]
   },
   {
@@ -71,36 +74,23 @@
    "outputs": [],
    "source": [
     "#|export\n",
-    "import pathlib\n",
-    "temp = pathlib.PosixPath\n",
-    "pathlib.PosixPath = pathlib.WindowsPath"
+    "\n",
+    "# Check the operating system\n",
+    "if os.name == 'nt':  # 'nt' is the name for Windows NT (Windows)\n",
+    "    temp = pathlib.PosixPath\n",
+    "    pathlib.PosixPath = pathlib.WindowsPath\n",
+    "\n",
+    "# Load the learner model\n",
+    "learn = load_learner('bear_model.pkl')\n",
+    "\n",
+    "# Restore the original PosixPath if running on Windows\n",
+    "if os.name == 'nt':\n",
+    "    pathlib.PosixPath = temp"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 5,
-   "metadata": {
-    "id": "Ko1vxtuzACNo"
-   },
-   "outputs": [],
-   "source": [
-    "#|export\n",
-    "learn = load_learner('bear_model.pkl')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#|export\n",
-    "pathlib.PosixPath = temp"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/",
@@ -139,14 +129,7 @@
     },
     {
      "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>"
       ]
@@ -160,7 +143,7 @@
        "('black', tensor(0), tensor([9.9997e-01, 2.5549e-05, 4.9422e-07]))"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -339,7 +322,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -383,7 +366,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.10.9"
   }
  },
  "nbformat": 4,

app/app.py

@@ -1,31 +1,36 @@
 # AUTOGENERATED! DO NOT EDIT! File to edit: ../Bearify_nb.ipynb.
 
 # %% auto 0
-__all__ = ['temp', 'learn', 'categories', 'image', 'labels', 'examples', 'intf', 'classify_image']
+__all__ = ['learn', 'categories', 'image', 'labels', 'examples', 'intf', 'classify_image']
 
 # %% ../Bearify_nb.ipynb 2
-from fastai.vision.all import *
+import os
+import pathlib
+
 import gradio as gr
+from fastai.vision.all import *
 
 # %% ../Bearify_nb.ipynb 4
-import pathlib
-temp = pathlib.PosixPath
-pathlib.PosixPath = pathlib.WindowsPath
+# Check the operating system
+if os.name == 'nt':  # 'nt' is the name for Windows NT (Windows)
+    temp = pathlib.PosixPath
+    pathlib.PosixPath = pathlib.WindowsPath
 
-# %% ../Bearify_nb.ipynb 5
+# Load the learner model
 learn = load_learner('bear_model.pkl')
 
-# %% ../Bearify_nb.ipynb 6
-pathlib.PosixPath = temp
+# Restore the original PosixPath if running on Windows
+if os.name == 'nt':
+    pathlib.PosixPath = temp
 
-# %% ../Bearify_nb.ipynb 8
+# %% ../Bearify_nb.ipynb 6
 categories = ('Black', 'Grizzly', 'Teddy')
 
 def classify_image(img):
   pred, idx, probs = learn.predict(img)
   return dict(zip(categories, map(float, probs)))
 
-# %% ../Bearify_nb.ipynb 10
+# %% ../Bearify_nb.ipynb 8
 image = gr.Image()
 labels = gr.Label()
 examples = ['Images/teddy.jpg', 'Images/grizzly.jpg', 'Images/black.jpeg']