added requirements

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.jpg filter=lfs diff=lfs merge=lfs -text

.ipynb_checkpoints/app-checkpoint.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 14,
    "id": "88aaacc6-8379-4b6b-b3b4-eea4d9acaea0",
    "metadata": {},
    "outputs": [],
@@ -20,7 +20,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
+   "execution_count": 15,
    "id": "844c3071-836e-46c5-b30e-2b8d96a8e369",
    "metadata": {},
    "outputs": [],
@@ -33,7 +33,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": 16,
    "id": "ded0d929-67f6-4a69-b223-dee3ad189139",
    "metadata": {},
    "outputs": [],
@@ -43,7 +43,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 67,
+   "execution_count": 17,
    "id": "6b7aeaaa-8260-45fa-9178-e064b0132c36",
    "metadata": {},
    "outputs": [],
@@ -55,7 +55,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 68,
+   "execution_count": 18,
    "id": "a0dfbe70-b826-4903-95cf-ae59c498a3b6",
    "metadata": {},
    "outputs": [],
@@ -68,7 +68,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 19,
    "id": "a5aaeeb6-6a93-4de8-be39-36c4b5d90ee4",
    "metadata": {},
    "outputs": [],
@@ -78,7 +78,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 70,
+   "execution_count": 20,
    "id": "7fcc53f8-0326-49d0-a110-1140148d6301",
    "metadata": {},
    "outputs": [],
@@ -88,7 +88,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": 21,
    "id": "6173ae0f-fa63-4a94-b9f6-e0f9534ff8d9",
    "metadata": {},
    "outputs": [],
@@ -98,7 +98,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 72,
+   "execution_count": 22,
    "id": "490af644-cb3c-4f8c-9e12-1a7cf9c18fc0",
    "metadata": {},
    "outputs": [],
@@ -111,7 +111,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 73,
+   "execution_count": 23,
    "id": "e3618d64-5db3-4659-b30f-f917939f509a",
    "metadata": {},
    "outputs": [],
@@ -122,7 +122,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 74,
+   "execution_count": 24,
    "id": "b2475bb3-b820-4a9d-b3b7-488e9e2971bc",
    "metadata": {},
    "outputs": [],
@@ -133,26 +133,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 75,
+   "execution_count": 25,
    "id": "1cdad192-403a-44d4-b006-661afebe18da",
    "metadata": {},
    "outputs": [],
    "source": [
     "#|export\n",
-    "path = Path('../fastai')\n",
+    "path = Path('.')\n",
     "learn_inf = load_learner(path/'export.pkl')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 76,
+   "execution_count": 26,
    "id": "c72e52ad-30b5-4c06-83d4-35095e43d419",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "7ec47a7f52a449a398a190e295f76328",
+       "model_id": "5f97fdb318344504a5a7213bf667fdbb",
        "version_major": 2,
        "version_minor": 0
       },
@@ -160,7 +160,7 @@
        "Button(description='Classify', style=ButtonStyle())"
       ]
      },
-     "execution_count": 76,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -173,7 +173,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 77,
+   "execution_count": 27,
    "id": "936e0aa5-4344-4b86-9e7d-b21adbd6b5ab",
    "metadata": {},
    "outputs": [],
@@ -191,7 +191,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 78,
+   "execution_count": 28,
    "id": "3bb8c7a0-3fb4-4fbb-9361-c62095a541a8",
    "metadata": {},
    "outputs": [],
@@ -201,7 +201,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 79,
+   "execution_count": 29,
    "id": "a6e2a398-f6c8-4444-b0f2-e538a1b36da2",
    "metadata": {},
    "outputs": [
@@ -209,7 +209,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Running on local URL:  http://127.0.0.1:7867\n",
+      "Running on local URL:  http://127.0.0.1:7864\n",
       "\n",
       "To create a public link, set `share=True` in `launch()`.\n"
      ]
@@ -218,7 +218,7 @@
      "data": {
       "text/plain": []
      },
-     "execution_count": 79,
+     "execution_count": 29,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -227,7 +227,7 @@
     "#|export\n",
     "image = gr.Image()\n",
     "label = gr.Label()\n",
-    "examples = ['images/Adi_trainers.jpg', 'images/Nike_trainers.jpg', 'images/Puma_trainers.jpg', 'images/Adidas_trainers.jpg']\n",
+    "examples = ['Adi_trainers.jpg', 'Nike_trainers.jpg', 'Puma_trainers.jpg', 'Adidas_trainers.jpg']\n",
     "\n",
     "intf = gr.Interface(fn=on_click_classify, inputs=image, outputs=label, examples=examples)\n",
     "intf.launch(inline=False)"
@@ -243,7 +243,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 80,
+   "execution_count": 30,
    "id": "f5c57105-41fe-4d79-a2b0-d52ed75ea6cb",
    "metadata": {},
    "outputs": [
@@ -256,8 +256,8 @@
     }
    ],
    "source": [
-    "import nbdev\n",
-    "nbdev.export.nb_export('app.ipynb', './')\n",
+    "from nbdev.export import nb_export\n",
+    "nb_export('app.ipynb', './')\n",
     "print('Export successful')"
    ]
   },

app.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 14,
    "id": "88aaacc6-8379-4b6b-b3b4-eea4d9acaea0",
    "metadata": {},
    "outputs": [],
@@ -20,19 +20,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 15,
    "id": "844c3071-836e-46c5-b30e-2b8d96a8e369",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/yunix/.local/lib/python3.10/site-packages/matplotlib/projections/__init__.py:63: UserWarning: Unable to import Axes3D. This may be due to multiple versions of Matplotlib being installed (e.g. as a system package and as a pip package). As a result, the 3D projection is not available.\n",
-      "  warnings.warn(\"Unable to import Axes3D. This may be due to multiple versions of \"\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "#|export\n",
     "from fastai.vision.all import *\n",
@@ -42,7 +33,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": 16,
    "id": "ded0d929-67f6-4a69-b223-dee3ad189139",
    "metadata": {},
    "outputs": [],
@@ -52,7 +43,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 67,
+   "execution_count": 17,
    "id": "6b7aeaaa-8260-45fa-9178-e064b0132c36",
    "metadata": {},
    "outputs": [],
@@ -64,7 +55,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 68,
+   "execution_count": 18,
    "id": "a0dfbe70-b826-4903-95cf-ae59c498a3b6",
    "metadata": {},
    "outputs": [],
@@ -77,7 +68,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 19,
    "id": "a5aaeeb6-6a93-4de8-be39-36c4b5d90ee4",
    "metadata": {},
    "outputs": [],
@@ -87,7 +78,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 70,
+   "execution_count": 20,
    "id": "7fcc53f8-0326-49d0-a110-1140148d6301",
    "metadata": {},
    "outputs": [],
@@ -97,7 +88,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": 21,
    "id": "6173ae0f-fa63-4a94-b9f6-e0f9534ff8d9",
    "metadata": {},
    "outputs": [],
@@ -107,7 +98,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 72,
+   "execution_count": 22,
    "id": "490af644-cb3c-4f8c-9e12-1a7cf9c18fc0",
    "metadata": {},
    "outputs": [],
@@ -120,7 +111,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 73,
+   "execution_count": 23,
    "id": "e3618d64-5db3-4659-b30f-f917939f509a",
    "metadata": {},
    "outputs": [],
@@ -131,7 +122,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 74,
+   "execution_count": 24,
    "id": "b2475bb3-b820-4a9d-b3b7-488e9e2971bc",
    "metadata": {},
    "outputs": [],
@@ -142,7 +133,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 25,
    "id": "1cdad192-403a-44d4-b006-661afebe18da",
    "metadata": {},
    "outputs": [],
@@ -154,14 +145,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 26,
    "id": "c72e52ad-30b5-4c06-83d4-35095e43d419",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "ae40d4f5ffb846c8875f56eeb6c9249c",
+       "model_id": "5f97fdb318344504a5a7213bf667fdbb",
        "version_major": 2,
        "version_minor": 0
       },
@@ -169,7 +160,7 @@
        "Button(description='Classify', style=ButtonStyle())"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -182,7 +173,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 27,
    "id": "936e0aa5-4344-4b86-9e7d-b21adbd6b5ab",
    "metadata": {},
    "outputs": [],
@@ -200,7 +191,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 28,
    "id": "3bb8c7a0-3fb4-4fbb-9361-c62095a541a8",
    "metadata": {},
    "outputs": [],
@@ -210,7 +201,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 29,
    "id": "a6e2a398-f6c8-4444-b0f2-e538a1b36da2",
    "metadata": {},
    "outputs": [
@@ -218,7 +209,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Running on local URL:  http://127.0.0.1:7863\n",
+      "Running on local URL:  http://127.0.0.1:7864\n",
       "\n",
       "To create a public link, set `share=True` in `launch()`.\n"
      ]
@@ -227,7 +218,7 @@
      "data": {
       "text/plain": []
      },
-     "execution_count": 12,
+     "execution_count": 29,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -236,7 +227,7 @@
     "#|export\n",
     "image = gr.Image()\n",
     "label = gr.Label()\n",
-    "examples = ['../images/Adi_trainers.jpg', '../images/Nike_trainers.jpg', '../images/Puma_trainers.jpg', '../images/Adidas_trainers.jpg']\n",
+    "examples = ['Adi_trainers.jpg', 'Nike_trainers.jpg', 'Puma_trainers.jpg', 'Adidas_trainers.jpg']\n",
     "\n",
     "intf = gr.Interface(fn=on_click_classify, inputs=image, outputs=label, examples=examples)\n",
     "intf.launch(inline=False)"
@@ -252,7 +243,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 31,
    "id": "f5c57105-41fe-4d79-a2b0-d52ed75ea6cb",
    "metadata": {},
    "outputs": [

app.py

@@ -25,7 +25,7 @@ def on_click_classify(img):
 # %% app.ipynb 16
 image = gr.Image()
 label = gr.Label()
-examples = ['../images/Adi_trainers.jpg', '../images/Nike_trainers.jpg', '../images/Puma_trainers.jpg', '../images/Adidas_trainers.jpg']
+examples = ['Adi_trainers.jpg', 'Nike_trainers.jpg', 'Puma_trainers.jpg', 'Adidas_trainers.jpg']
 
 intf = gr.Interface(fn=on_click_classify, inputs=image, outputs=label, examples=examples)
 intf.launch(inline=False)

requirements.txt

@@ -0,0 +1 @@
+fastai