isBeautifulV3-Voila.ipynb

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   "metadata": {},
   "outputs": [],
   "source": [
    "from fastai.vision.all import *\n",
    "from fastai.vision.widgets import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
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   "source": [
    "#path = Path('../')\n",
    "path = Path()"
   ]
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  {
   "cell_type": "code",
   "execution_count": 40,
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   "outputs": [],
   "source": [
    "def parent_label_int(o):\n",
    "    \"Label `item` with the parent folder name.\"\n",
    "    return int(Path(o).parent.name)"
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  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "beautyModel = load_learner(path/'beautyModelV3.pkl')\n",
    "ageModel = load_learner(path/'ageModelV1.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [],
   "source": [
    "btn_upload = widgets.FileUpload()\n",
    "out_pl = widgets.Output()\n",
    "lbl_pred1 = widgets.Label()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [],
   "source": [
    "def on_data_change(change):\n",
    "    lbl_pred1.value = ''\n",
    "    img = PILImage.create(btn_upload.data[-1])\n",
    "    out_pl.clear_output()\n",
    "    with out_pl: display(img.to_thumb(128,128))\n",
    "    pred1,pred1_idx,probs1 = beautyModel.predict(img)\n",
    "    pred2,usl1,usl2 = ageModel.predict(img)\n",
    "    lbl_pred1.value = f'{pred1} ({int(probs1[pred1_idx]*100)}% Confident) | Age: {int(pred2[0])}'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [],
   "source": [
    "btn_upload.observe(on_data_change, names=['data'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## IsBeautiful App\n",
    "* Upload your picture and let the algorithm decide how beautiful/handsome are you.\n",
    "* The algorithm also predics age (only for people between the ages of 20-50)\n",
    "* Of course beauty is a subjective concept, what the algorithm actually does is classify the uploaded picutre by comparing it to google searches.\n",
    "* Possible classes: Goddess, Angel(F), Angel(M), Hot(F), Hot(M), Beautiful, Handsome, Normal(F), Normal(M), Below Avg(F), Below Avg(M)\n",
    "* (M) stands for Male, (F) stands for Female\n",
    "* It has about 55% accuracy so don not worry if you are not classified as expected.\n",
    "* This app is not an ultimate decision maker, my intention is not to offend anyone, this app is done only for educational purposes and fun.\n",
    "* Algorithm is not going to provide meaningful results for pictures other than women and men.\n",
    "* For better estimate of your age, I recommend using a close-up photo of your face.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [
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      "text/plain": [
       "VBox(children=(Label(value='Upload your photo and wait a little'), FileUpload(value={}, description='Upload'),…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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   ],
   "source": [
    "display(VBox([widgets.Label('Upload your photo and wait a little'), btn_upload, out_pl, lbl_pred1]))"
   ]
  }
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