app rework1

app.ipynb

@@ -9,7 +9,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "c:\\Users\\USER\\Desktop\\WorkSpace\\MasterCourse\\scripts\\capstone project 2\\Shoe-Recognizer\\.venv\\lib\\site-packages\\tqdm\\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
+      "c:\\Users\\USER\\Desktop\\WorkSpace\\MasterCourse\\scripts\\capstone project 2\\Shoe-Type-Recognizer\\.venv\\lib\\site-packages\\tqdm\\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
       "  from .autonotebook import tqdm as notebook_tqdm\n"
      ]
     }
@@ -22,18 +22,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
-    "import pathlib\n",
-    "temp = pathlib.PosixPath\n",
-    "pathlib.PosixPath = pathlib.WindowsPath"
+    "# import pathlib\n",
+    "# temp = pathlib.PosixPath\n",
+    "# pathlib.PosixPath = pathlib.WindowsPath"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -42,7 +42,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -94,7 +94,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -105,20 +105,20 @@
        "PILImage mode=RGB size=192x192"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "img = PILImage.create(f'test image\\image-01.jpg')\n",
+    "img = PILImage.create(f'test_image\\image-01.jpg')\n",
     "img.thumbnail((192,192))\n",
     "img"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -150,7 +150,14 @@
     },
     {
      "data": {
-      "text/html": [],
+      "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/plain": [
        "<IPython.core.display.HTML object>"
       ]
@@ -211,7 +218,7 @@
        " 'Wellington boots': 0.0001394600694766268}"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -222,20 +229,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "C:\\Users\\USER\\AppData\\Local\\Temp\\ipykernel_21356\\2721801947.py:1: GradioDeprecationWarning: Usage of gradio.inputs is deprecated, and will not be supported in the future, please import your component from gradio.components\n",
+      "C:\\Users\\USER\\AppData\\Local\\Temp\\ipykernel_22668\\1824898195.py:1: GradioDeprecationWarning: Usage of gradio.inputs is deprecated, and will not be supported in the future, please import your component from gradio.components\n",
       "  image = gr.inputs.Image(shape=(192,192))\n",
-      "C:\\Users\\USER\\AppData\\Local\\Temp\\ipykernel_21356\\2721801947.py:1: GradioDeprecationWarning: `optional` parameter is deprecated, and it has no effect\n",
+      "C:\\Users\\USER\\AppData\\Local\\Temp\\ipykernel_22668\\1824898195.py:1: GradioDeprecationWarning: `optional` parameter is deprecated, and it has no effect\n",
       "  image = gr.inputs.Image(shape=(192,192))\n",
-      "C:\\Users\\USER\\AppData\\Local\\Temp\\ipykernel_21356\\2721801947.py:2: GradioDeprecationWarning: Usage of gradio.outputs is deprecated, and will not be supported in the future, please import your components from gradio.components\n",
+      "C:\\Users\\USER\\AppData\\Local\\Temp\\ipykernel_22668\\1824898195.py:2: GradioDeprecationWarning: Usage of gradio.outputs is deprecated, and will not be supported in the future, please import your components from gradio.components\n",
       "  label = gr.outputs.Label()\n",
-      "C:\\Users\\USER\\AppData\\Local\\Temp\\ipykernel_21356\\2721801947.py:2: GradioUnusedKwargWarning: You have unused kwarg parameters in Label, please remove them: {'type': 'auto'}\n",
+      "C:\\Users\\USER\\AppData\\Local\\Temp\\ipykernel_22668\\1824898195.py:2: GradioUnusedKwargWarning: You have unused kwarg parameters in Label, please remove them: {'type': 'auto'}\n",
       "  label = gr.outputs.Label()\n"
      ]
     },
@@ -243,36 +250,86 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Running on local URL:  http://127.0.0.1:7865\n",
+      "Running on local URL:  http://127.0.0.1:7861\n",
+      "Running on public URL: https://a7cb50ceef6c9d116c.gradio.live\n",
       "\n",
-      "To create a public link, set `share=True` in `launch()`.\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"
      ]
     },
     {
      "data": {
       "text/plain": []
      },
-     "execution_count": 7,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
+    },
+    {
+     "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": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Chelsea Boot tensor([2.8313e-09, 1.1816e-09, 1.1724e-09, 5.0766e-09, 9.9998e-01, 7.6291e-09,\n",
+      "        1.5612e-07, 9.6842e-09, 7.2088e-09, 2.4661e-06, 1.6966e-08, 3.8857e-09,\n",
+      "        3.3738e-09, 3.4043e-08, 5.0392e-08, 2.8798e-09, 2.9660e-08, 2.4957e-10,\n",
+      "        7.2471e-09, 6.1177e-08, 3.9857e-07, 2.8386e-08, 1.3976e-07, 4.7899e-08,\n",
+      "        1.5551e-07, 1.4751e-07, 8.1831e-09, 2.6884e-08, 6.7308e-08, 1.9121e-08,\n",
+      "        8.1125e-08, 7.5008e-09, 1.8775e-08, 9.6297e-09, 3.3383e-06, 1.1778e-05])\n"
+     ]
     }
    ],
    "source": [
     "image = gr.inputs.Image(shape=(192,192))\n",
-    "label = gr.outputs.Label()\n",
+    "label = gr.outputs.Label(num_top_classes=5)\n",
     "examples = [\n",
-    "    'test image\\image-01.jpg',\n",
-    "    'test image\\image-02.jpg',\n",
-    "    'test image\\image-03.jpg',\n",
-    "    'test image\\image-06.jpg',\n",
-    "    'test image\\image-07.jpg',\n",
-    "    'test image\\image-08.jpg',\n",
-    "    'test image\\image-09.jpg',\n",
-    "    'test image\\image-10.jpg'    \n",
+    "    'test_image\\image-01.jpg',\n",
+    "    'test_image\\image-02.jpg',\n",
+    "    'test_image\\image-03.jpg',\n",
+    "    'test_image\\image-06.jpg',\n",
+    "    'test_image\\image-07.jpg',\n",
+    "    'test_image\\image-08.jpg',\n",
+    "    'test_image\\image-09.jpg',\n",
+    "    'test_image\\image-10.jpg'    \n",
     "    ]\n",
     "\n",
     "iface = gr.Interface(fn=recognize_image, inputs=image, outputs=label, examples=examples)\n",
-    "iface.launch(inline=False)"
+    "iface.launch(inline=False, share=True)"
    ]
   },
   {

app.py

@@ -50,16 +50,16 @@ def recognize_image(image):
   return dict(zip(shoe_labels, map(float, probs))) 
 
 image = gr.inputs.Image(shape=(192,192))
-label = gr.outputs.Label()
+label = gr.outputs.Label(num_top_classes=5)
 examples = [
-    'test image\image-01.jpg',
-    'test image\image-02.jpg',
-    'test image\image-03.jpg',
-    'test image\image-06.jpg',
-    'test image\image-07.jpg',
-    'test image\image-08.jpg',
-    'test image\image-09.jpg',
-    'test image\image-10.jpg'    
+    'test_image\image-01.jpg',
+    'test_image\image-02.jpg',
+    'test_image\image-03.jpg',
+    'test_image\image-06.jpg',
+    'test_image\image-07.jpg',
+    'test_image\image-08.jpg',
+    'test_image\image-09.jpg',
+    'test_image\image-10.jpg'    
     ]
 
 iface = gr.Interface(fn=recognize_image, inputs=image, outputs=label, examples=examples)