change pathlib depending on os

app.py

@@ -3,9 +3,11 @@ from fastai.vision.all import *
 import gradio as gr
 import os
 
-import pathlib
-# temp = pathlib.PosixPath
-# pathlib.PosixPath = pathlib.WindowsPath
+import platform
+if platform.system() == 'Windows':
+    import pathlib
+    temp = pathlib.PosixPath
+    pathlib.PosixPath = pathlib.WindowsPath
 
 
 title = 'LEGO sets&creations theme classifier'

deploy.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -11,14 +11,17 @@
     "import gradio as gr\n",
     "import os\n",
     "\n",
-    "import pathlib\n",
-    "temp = pathlib.PosixPath\n",
-    "pathlib.PosixPath = pathlib.WindowsPath"
+    "\n",
+    "import platform\n",
+    "if platform.system() == 'Windows':\n",
+    "    import pathlib\n",
+    "    temp = pathlib.PosixPath\n",
+    "    pathlib.PosixPath = pathlib.WindowsPath"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -42,14 +45,14 @@
     "label = gr.components.Label(label='Predictions')\n",
     "examples = [[f'test_images/{img_name}', img_name.split('2', 1)[0].capitalize(), img_name.split('.', 1)[0][-4:]] for img_name in os.listdir('test_images')]\n",
     "\n",
-    "gr.Interface(fn=classify, inputs=[img, real_label, year, is_color], outputs=label, examples=examples).launch(\n",
-    "    # inline=False\n",
-    "    )"
+    "# gr.Interface(fn=classify, inputs=[img, real_label, year, is_color], outputs=label, examples=examples).launch(\n",
+    "#     # inline=False\n",
+    "#     )"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -65,14 +68,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "c:\\Users\\ewafa\\anaconda3\\envs\\ml\\lib\\site-packages\\gradio\\deprecation.py:43: UserWarning: You have unused kwarg parameters in Row, please remove them: {'equal_height': True}\n",
+      "  warnings.warn(\n"
+     ]
+    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Running on local URL:  http://127.0.0.1:7867\n",
+      "Running on local URL:  http://127.0.0.1:7860\n",
       "\n",
       "To create a public link, set `share=True` in `launch()`.\n"
      ]
@@ -80,7 +91,7 @@
     {
      "data": {
       "text/html": [
-       "<div><iframe src=\"http://127.0.0.1:7867/\" width=\"900\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+       "<div><iframe src=\"http://127.0.0.1:7860/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -91,11 +102,9 @@
     },
     {
      "data": {
-      "text/plain": [
-       "(<gradio.routes.App at 0x18df584c880>, 'http://127.0.0.1:7867/', None)"
-      ]
+      "text/plain": []
      },
-     "execution_count": 31,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -126,146 +135,15 @@
      "metadata": {},
      "output_type": "display_data"
     },
-    {
-     "data": {
-      "text/html": [],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "<style>\n",
-       "    /* Turns off some styling */\n",
-       "    progress {\n",
-       "        /* gets rid of default border in Firefox and Opera. */\n",
-       "        border: none;\n",
-       "        /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
-       "        background-size: auto;\n",
-       "    }\n",
-       "    progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
-       "        background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
-       "    }\n",
-       "    .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
-       "        background: #F44336;\n",
-       "    }\n",
-       "</style>\n"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "<style>\n",
-       "    /* Turns off some styling */\n",
-       "    progress {\n",
-       "        /* gets rid of default border in Firefox and Opera. */\n",
-       "        border: none;\n",
-       "        /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
-       "        background-size: auto;\n",
-       "    }\n",
-       "    progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
-       "        background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
-       "    }\n",
-       "    .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
-       "        background: #F44336;\n",
-       "    }\n",
-       "</style>\n"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "<style>\n",
-       "    /* Turns off some styling */\n",
-       "    progress {\n",
-       "        /* gets rid of default border in Firefox and Opera. */\n",
-       "        border: none;\n",
-       "        /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
-       "        background-size: auto;\n",
-       "    }\n",
-       "    progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
-       "        background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
-       "    }\n",
-       "    .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
-       "        background: #F44336;\n",
-       "    }\n",
-       "</style>\n"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
     {
      "data": {
       "text/html": [
        "\n",
-       "<style>\n",
-       "    /* Turns off some styling */\n",
-       "    progress {\n",
-       "        /* gets rid of default border in Firefox and Opera. */\n",
-       "        border: none;\n",
-       "        /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
-       "        background-size: auto;\n",
-       "    }\n",
-       "    progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
-       "        background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
-       "    }\n",
-       "    .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
-       "        background: #F44336;\n",
-       "    }\n",
-       "</style>\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/plain": [
        "<IPython.core.display.HTML object>"
@@ -275,51 +153,62 @@
      "output_type": "display_data"
     },
     {
-     "data": {
-      "text/html": [],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "<style>\n",
-       "    /* Turns off some styling */\n",
-       "    progress {\n",
-       "        /* gets rid of default border in Firefox and Opera. */\n",
-       "        border: none;\n",
-       "        /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
-       "        background-size: auto;\n",
-       "    }\n",
-       "    progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
-       "        background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
-       "    }\n",
-       "    .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
-       "        background: #F44336;\n",
-       "    }\n",
-       "</style>\n"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Traceback (most recent call last):\n",
+      "  File \"c:\\Users\\ewafa\\anaconda3\\envs\\ml\\lib\\site-packages\\gradio\\routes.py\", line 321, in run_predict\n",
+      "    output = await app.blocks.process_api(\n",
+      "  File \"c:\\Users\\ewafa\\anaconda3\\envs\\ml\\lib\\site-packages\\gradio\\blocks.py\", line 1015, in process_api\n",
+      "    result = await self.call_function(fn_index, inputs, iterator, request)\n",
+      "  File \"c:\\Users\\ewafa\\anaconda3\\envs\\ml\\lib\\site-packages\\gradio\\blocks.py\", line 856, in call_function\n",
+      "    prediction = await anyio.to_thread.run_sync(\n",
+      "  File \"c:\\Users\\ewafa\\anaconda3\\envs\\ml\\lib\\site-packages\\anyio\\to_thread.py\", line 31, in run_sync\n",
+      "    return await get_asynclib().run_sync_in_worker_thread(\n",
+      "  File \"c:\\Users\\ewafa\\anaconda3\\envs\\ml\\lib\\site-packages\\anyio\\_backends\\_asyncio.py\", line 937, in run_sync_in_worker_thread\n",
+      "    return await future\n",
+      "  File \"c:\\Users\\ewafa\\anaconda3\\envs\\ml\\lib\\site-packages\\anyio\\_backends\\_asyncio.py\", line 867, in run\n",
+      "    result = context.run(func, *args)\n",
+      "  File \"C:\\Users\\ewafa\\AppData\\Local\\Temp\\ipykernel_20024\\986269756.py\", line 9, in classify\n",
+      "    _, _, probs = learn_color.predict(img)\n",
+      "  File \"c:\\Users\\ewafa\\anaconda3\\envs\\ml\\lib\\site-packages\\fastai\\learner.py\", line 313, in predict\n",
+      "    inp,preds,_,dec_preds = self.get_preds(dl=dl, with_input=True, with_decoded=True)\n",
+      "  File \"c:\\Users\\ewafa\\anaconda3\\envs\\ml\\lib\\site-packages\\fastai\\learner.py\", line 300, in get_preds\n",
+      "    self._do_epoch_validate(dl=dl)\n",
+      "  File \"c:\\Users\\ewafa\\anaconda3\\envs\\ml\\lib\\site-packages\\fastai\\learner.py\", line 236, in _do_epoch_validate\n",
+      "    with torch.no_grad(): self._with_events(self.all_batches, 'validate', CancelValidException)\n",
+      "  File \"c:\\Users\\ewafa\\anaconda3\\envs\\ml\\lib\\site-packages\\fastai\\learner.py\", line 193, in _with_events\n",
+      "    try: self(f'before_{event_type}');  f()\n",
+      "  File \"c:\\Users\\ewafa\\anaconda3\\envs\\ml\\lib\\site-packages\\fastai\\learner.py\", line 199, in all_batches\n",
+      "    for o in enumerate(self.dl): self.one_batch(*o)\n",
+      "  File \"c:\\Users\\ewafa\\anaconda3\\envs\\ml\\lib\\site-packages\\fastai\\learner.py\", line 227, in one_batch\n",
+      "    self._with_events(self._do_one_batch, 'batch', CancelBatchException)\n",
+      "  File \"c:\\Users\\ewafa\\anaconda3\\envs\\ml\\lib\\site-packages\\fastai\\learner.py\", line 193, in _with_events\n",
+      "    try: self(f'before_{event_type}');  f()\n",
+      "  File \"c:\\Users\\ewafa\\anaconda3\\envs\\ml\\lib\\site-packages\\fastai\\learner.py\", line 205, in _do_one_batch\n",
+      "    self.pred = self.model(*self.xb)\n",
+      "  File \"c:\\Users\\ewafa\\anaconda3\\envs\\ml\\lib\\site-packages\\torch\\nn\\modules\\module.py\", line 1194, in _call_impl\n",
+      "    return forward_call(*input, **kwargs)\n",
+      "  File \"c:\\Users\\ewafa\\anaconda3\\envs\\ml\\lib\\site-packages\\torch\\nn\\modules\\container.py\", line 204, in forward\n",
+      "    input = module(input)\n",
+      "  File \"c:\\Users\\ewafa\\anaconda3\\envs\\ml\\lib\\site-packages\\torch\\nn\\modules\\module.py\", line 1194, in _call_impl\n",
+      "    return forward_call(*input, **kwargs)\n",
+      "  File \"c:\\Users\\ewafa\\anaconda3\\envs\\ml\\lib\\site-packages\\fastai\\vision\\learner.py\", line 177, in forward\n",
+      "    def forward(self,x): return self.model.forward_features(x) if self.needs_pool else self.model(x)\n",
+      "  File \"c:\\Users\\ewafa\\anaconda3\\envs\\ml\\lib\\site-packages\\timm\\models\\convnext.py\", line 397, in forward_features\n",
+      "    x = self.stem(x)\n",
+      "  File \"c:\\Users\\ewafa\\anaconda3\\envs\\ml\\lib\\site-packages\\torch\\nn\\modules\\module.py\", line 1194, in _call_impl\n",
+      "    return forward_call(*input, **kwargs)\n",
+      "  File \"c:\\Users\\ewafa\\anaconda3\\envs\\ml\\lib\\site-packages\\torch\\nn\\modules\\container.py\", line 204, in forward\n",
+      "    input = module(input)\n",
+      "  File \"c:\\Users\\ewafa\\anaconda3\\envs\\ml\\lib\\site-packages\\torch\\nn\\modules\\module.py\", line 1194, in _call_impl\n",
+      "    return forward_call(*input, **kwargs)\n",
+      "  File \"c:\\Users\\ewafa\\anaconda3\\envs\\ml\\lib\\site-packages\\timm\\models\\layers\\norm.py\", line 67, in forward\n",
+      "    if self._fast_norm:\n",
+      "  File \"c:\\Users\\ewafa\\anaconda3\\envs\\ml\\lib\\site-packages\\torch\\nn\\modules\\module.py\", line 1269, in __getattr__\n",
+      "    raise AttributeError(\"'{}' object has no attribute '{}'\".format(\n",
+      "AttributeError: 'LayerNorm2d' object has no attribute '_fast_norm'\n"
+     ]
     }
    ],
    "source": [
@@ -369,7 +258,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3.10.4 ('ml')",
+   "display_name": "ml",
    "language": "python",
    "name": "python3"
   },
@@ -383,12 +272,12 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.4"
+   "version": "3.10.8 | packaged by conda-forge | (main, Nov 24 2022, 14:07:00) [MSC v.1916 64 bit (AMD64)]"
   },
   "orig_nbformat": 4,
   "vscode": {
    "interpreter": {
-    "hash": "575b27b03c8f4938561cc9027b66655be84e7082a51e87d8eb0fbf4ab5514768"
+    "hash": "661d60981a8180246504a9562268f79cf2915497a26a99308f4a10e22604b72f"
    }
   }
  },