model out

app.ipynb

@@ -2,9 +2,18 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 1,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "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"
+     ]
+    }
+   ],
    "source": [
     "from fastai.vision.all import load_learner\n",
     "from fastai.vision.all import PILImage\n",
@@ -13,7 +22,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -24,16 +33,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
-    "model = load_learner('models/shoes-recognizer-v4.pkl')"
+    "model = load_learner('shoes-recognizer-v4.pkl')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -102,7 +111,7 @@
     }
    ],
    "source": [
-    "img = PILImage.create(f'test_image\\image-01.jpg')\n",
+    "img = PILImage.create(f'image-01.jpg')\n",
     "img.thumbnail((192,192))\n",
     "img"
    ]
@@ -141,14 +150,7 @@
     },
     {
      "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>"
       ]
@@ -227,13 +229,13 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "C:\\Users\\USER\\AppData\\Local\\Temp\\ipykernel_11572\\2435798682.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_27716\\498370115.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_11572\\2435798682.py:1: GradioDeprecationWarning: `optional` parameter is deprecated, and it has no effect\n",
+      "C:\\Users\\USER\\AppData\\Local\\Temp\\ipykernel_27716\\498370115.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_11572\\2435798682.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_27716\\498370115.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(num_top_classes=5)\n",
-      "C:\\Users\\USER\\AppData\\Local\\Temp\\ipykernel_11572\\2435798682.py:2: GradioUnusedKwargWarning: You have unused kwarg parameters in Label, please remove them: {'type': 'auto'}\n",
+      "C:\\Users\\USER\\AppData\\Local\\Temp\\ipykernel_27716\\498370115.py:2: GradioUnusedKwargWarning: You have unused kwarg parameters in Label, please remove them: {'type': 'auto'}\n",
       "  label = gr.outputs.Label(num_top_classes=5)\n"
      ]
     },
@@ -241,8 +243,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Running on local URL:  http://127.0.0.1:7861\n",
-      "Running on public URL: https://3195c92f6fa137e28a.gradio.live\n",
+      "Running on local URL:  http://127.0.0.1:7862\n",
+      "Running on public URL: https://03b7f2d43d8c98bf5d.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"
      ]