Oleh Hnashuk commited on
Commit
734a5c5
1 Parent(s): 1f46772

updated category labels

Browse files
Files changed (2) hide show
  1. app.ipynb +11 -122
  2. app.py +1 -1
app.ipynb CHANGED
@@ -35,14 +35,14 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 47,
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  "id": "d9019a15",
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  "metadata": {},
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  "outputs": [],
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  "source": [
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  "#|export \n",
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  "\n",
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- "categories = ('bird.jpg', 'fish.jpg', 'mammal.jpg')\n",
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  "\n",
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  "def classify_image(img):\n",
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  " pred, idx, probs = learn.predict(img)\n",
@@ -51,7 +51,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 50,
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  "id": "d04d8882",
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  "metadata": {},
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  "outputs": [
@@ -95,12 +95,12 @@
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  {
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  "data": {
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  "text/plain": [
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- "{'bird.jpg': 1.5930112567730248e-05,\n",
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- " 'fish.jpg': 0.9999780654907227,\n",
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- " 'mammal.jpg': 5.961885563010583e-06}"
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  ]
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  },
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- "execution_count": 50,
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  "metadata": {},
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  "output_type": "execute_result"
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  }
@@ -112,7 +112,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 51,
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  "id": "bbef2af6",
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  "metadata": {},
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  "outputs": [
@@ -134,7 +134,7 @@
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  "name": "stdout",
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  "output_type": "stream",
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  "text": [
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- "Running on local URL: http://127.0.0.1:7863\n",
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  "\n",
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  "To create a public link, set `share=True` in `launch()`.\n"
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  ]
@@ -143,120 +143,9 @@
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  "data": {
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  "text/plain": []
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  },
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- "execution_count": 51,
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  "metadata": {},
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  "output_type": "execute_result"
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- },
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- {
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- "data": {
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- "text/html": [
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- "\n",
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- "<style>\n",
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- " /* Turns off some styling */\n",
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- " progress {\n",
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- " /* gets rid of default border in Firefox and Opera. */\n",
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- " border: none;\n",
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- " /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
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- " background-size: auto;\n",
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- " }\n",
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- " progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
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- " background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
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- " }\n",
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- " .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
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- " background: #F44336;\n",
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- " }\n",
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- "</style>\n"
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- ],
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- "text/plain": [
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- "<IPython.core.display.HTML object>"
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- ]
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- },
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- "metadata": {},
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- "output_type": "display_data"
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- },
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- {
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- "data": {
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- "text/html": [],
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- "text/plain": [
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- "<IPython.core.display.HTML object>"
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- ]
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- },
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- "metadata": {},
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- "output_type": "display_data"
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- },
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- {
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- "data": {
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- "text/html": [
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- "\n",
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- "<style>\n",
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- " /* Turns off some styling */\n",
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- " progress {\n",
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- " /* gets rid of default border in Firefox and Opera. */\n",
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- " border: none;\n",
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- " /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
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- " background-size: auto;\n",
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- " }\n",
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- " progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
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- " background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
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- " }\n",
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- " .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
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- " background: #F44336;\n",
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- " }\n",
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- "</style>\n"
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- ],
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- "text/plain": [
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- "<IPython.core.display.HTML object>"
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- ]
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- },
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- "metadata": {},
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- "output_type": "display_data"
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- },
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- {
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- "data": {
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- "text/html": [],
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- "text/plain": [
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- "<IPython.core.display.HTML object>"
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- ]
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- },
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- "metadata": {},
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- "output_type": "display_data"
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- },
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- {
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- "data": {
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- "text/html": [
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- "\n",
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- "<style>\n",
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- " /* Turns off some styling */\n",
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- " progress {\n",
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- " /* gets rid of default border in Firefox and Opera. */\n",
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- " border: none;\n",
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- " /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
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- " background-size: auto;\n",
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- " }\n",
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- " progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
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- " background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
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- " }\n",
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- " .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
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- " background: #F44336;\n",
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- " }\n",
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- "</style>\n"
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- ],
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- "text/plain": [
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- "<IPython.core.display.HTML object>"
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- ]
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- },
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- "metadata": {},
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- "output_type": "display_data"
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- },
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- {
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- "data": {
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- "text/html": [],
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- "text/plain": [
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- "<IPython.core.display.HTML object>"
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- ]
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- },
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- "metadata": {},
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- "output_type": "display_data"
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  }
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  ],
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  "source": [
@@ -271,7 +160,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 53,
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  "id": "c0c533db",
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  "metadata": {},
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  "outputs": [],
 
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  },
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  {
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  "cell_type": "code",
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+ "execution_count": 58,
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  "id": "d9019a15",
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  "metadata": {},
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  "outputs": [],
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  "source": [
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  "#|export \n",
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  "\n",
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+ "categories = ('bird', 'fish', 'mammal')\n",
46
  "\n",
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  "def classify_image(img):\n",
48
  " pred, idx, probs = learn.predict(img)\n",
 
51
  },
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  {
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  "cell_type": "code",
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+ "execution_count": 59,
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  "id": "d04d8882",
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  "metadata": {},
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  "outputs": [
 
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  {
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  "data": {
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  "text/plain": [
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+ "{'bird': 1.5930112567730248e-05,\n",
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+ " 'fish': 0.9999780654907227,\n",
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+ " 'mammal': 5.961885563010583e-06}"
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  ]
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  },
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+ "execution_count": 59,
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  "metadata": {},
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  "output_type": "execute_result"
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  }
 
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  },
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  {
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  "cell_type": "code",
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+ "execution_count": 60,
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  "id": "bbef2af6",
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  "metadata": {},
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  "outputs": [
 
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  "name": "stdout",
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  "output_type": "stream",
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  "text": [
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+ "Running on local URL: http://127.0.0.1:7865\n",
138
  "\n",
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  "To create a public link, set `share=True` in `launch()`.\n"
140
  ]
 
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  "data": {
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  "text/plain": []
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  },
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+ "execution_count": 60,
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  "metadata": {},
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  "output_type": "execute_result"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  }
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  ],
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  "source": [
 
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  },
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  {
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  "cell_type": "code",
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+ "execution_count": 61,
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  "id": "c0c533db",
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  "metadata": {},
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  "outputs": [],
app.py CHANGED
@@ -11,7 +11,7 @@ import gradio as gr
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  learn = load_learner('model.pk1')
12
 
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  # %% ../app.ipynb 3
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- categories = ('bird.jpg', 'fish.jpg', 'mammal.jpg')
15
 
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  def classify_image(img):
17
  pred, idx, probs = learn.predict(img)
 
11
  learn = load_learner('model.pk1')
12
 
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  # %% ../app.ipynb 3
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+ categories = ('bird', 'fish', 'mammal')
15
 
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  def classify_image(img):
17
  pred, idx, probs = learn.predict(img)