nlp_main_final.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 3484,
     "status": "ok",
     "timestamp": 1657723056313,
     "user": {
      "displayName": "­한창희 / 학생 / 자유전공학부",
      "userId": "01976388879647653081"
     },
     "user_tz": -540
    },
    "id": "4I5LBN5Zfl7Y",
    "outputId": "c1c0b461-0819-40a9-89d0-942b55aeb1f0"
   },
   "outputs": [],
   "source": [
    "!pip install import_ipynb"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Ivndl4z_J7zI"
   },
   "source": [
    "***주의사항***  \n",
    "  \n",
    "이하의 Google Drive를 mount하는 코드는, nlp_main_final.ipynb 파일을 colab 환경에서 실행할 때 필요한 코드이다.  \n",
    "그러나 본 파일을 colab에서 최종 확인한 후, Jupyter notebook에서 main_stream_final.ipynb 파일을 실행할 때에는 아래 코드가 작동되어서는 안 된다. Jupyter notebook에서 main_stream_final.ipynb 파일을 실행할 때, 본 파일의 predict_sentence 함수가 import되어 사용되는데, 아래 코드가 Jupyter 환경에서 오류를 발생시킬 수 있기 때문이다.  \n",
    "따라서, **본 파일을 colab에서 성공적으로 완성시킨 후에는, 아래의 Drive mount 코드를 주석 처리하거나 삭제한 후에 main_stream_final.ipynb 파일을 실행하여야 한다.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "fzg41GykJ-24"
   },
   "outputs": [],
   "source": [
    "# 본 파일을 colab 환경에서 실행할 때만 필요한 코드\n",
    "# 본 파일을 완성한 후에는 주석처리/삭제 함으로써, 이후 Jupyter notebook 환경에서 main_stream_final.ipynb 파일을 실행시킬 때 오류가 발생하지 않도록 할 것\n",
    "\n",
    "from google.colab import drive\n",
    "drive.mount('/content/drive')\n",
    "\n",
    "%cd /content/drive/MyDrive/NLP"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 52137,
     "status": "ok",
     "timestamp": 1657723108441,
     "user": {
      "displayName": "­한창희 / 학생 / 자유전공학부",
      "userId": "01976388879647653081"
     },
     "user_tz": -540
    },
    "id": "nTqcsIWyfqLQ",
    "outputId": "502fe754-f95d-40c3-e4f4-629d656b8362"
   },
   "outputs": [],
   "source": [
    "import import_ipynb, torch\n",
    "\n",
    "from nlp_Preproc_final import data_to_token_ids, token_ids_to_mask\n",
    "from nlp_model_final import get_model\n",
    "from nlp_tokenization import KoBertTokenizer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 81,
     "referenced_widgets": [
      "43718e51fe2444e2921f3e9daab73fe4",
      "40bd926397ea4e5a8edd8559fd6aae38",
      "ddabbf6f35ab4623ae8fcc70ef9c8c1c",
      "d143ee096d7747c1a12e7931922f93ac",
      "42180030c6754e54a16b017f1a70f893",
      "0ae48db10cd84fbbbefda7d4aa4f24d6",
      "783648fa23e94033958af60a581626f3",
      "4ad77967b0d84acf953eb1c110e2e920",
      "1d0d29dc3d434968ae5ec0495d9fd920",
      "cf3a7d465bb3411fb34a00be54b64e89",
      "7503d27fdc984532ba9d2f63677bb6be",
      "2e233ba32caa454cb2e21e04ef17346c",
      "819f559eda314acfb279db8d950ec053",
      "2a742bd1c7e244bda62aa584f456aaaa",
      "b7be072378e74fcf8c03ec52fb886ac6",
      "d22a60f6422f4cbbb2718e452ee8f05a",
      "a966813ca5f141d189f3caba126ba15a",
      "724817e53ada40f88e509b20e4513b75",
      "e35a5bc153be4702b59da91fb7e9970a",
      "8249f5f6c8304174beff6431cb38bc5b",
      "d3ae29b76f734b11becac107826ded01",
      "9f423751e6654fb7a0a89282b29b2235"
     ]
    },
    "executionInfo": {
     "elapsed": 22752,
     "status": "ok",
     "timestamp": 1657723131173,
     "user": {
      "displayName": "­한창희 / 학생 / 자유전공학부",
      "userId": "01976388879647653081"
     },
     "user_tz": -540
    },
    "id": "7AQdbcbOsHQk",
    "outputId": "fd25f7c1-9971-461b-8dd0-462d1b951ca3"
   },
   "outputs": [],
   "source": [
    "# GPU 디바이스 설정\n",
    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
    "\n",
    "model = get_model(device, torch.cuda.is_available())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def predict_sentence(input_str):\n",
    "    \n",
    "    # 입력받은 문장을 토큰화\n",
    "    tokenizer = KoBertTokenizer.from_pretrained(\"monologg/kobert\")\n",
    "    tokenized_data = [data_to_token_ids(tokenizer, input_str)]\n",
    "    attention_masks = [token_ids_to_mask(token_ids) for token_ids in tokenized_data]\n",
    "\n",
    "    # 토큰을 텐서로 변환\n",
    "    inputs_tensor = torch.tensor(tokenized_data).to(device)\n",
    "    masks_tensor = torch.tensor(attention_masks).to(device)\n",
    "\n",
    "    # 신경망의 Forward 함수 활용\n",
    "    # 위의 두 텐서와 'model'의 forward 함수를 이용해서 감정에 대한 확률 벡터를 산출해보자.\n",
    "    # 이때 산출된 확률 벡터를 outputs 변수로 저장하자.\n",
    "    outputs = model(inputs_tensor, attention_mask=masks_tensor)\n",
    "\n",
    "    # 위에서 산출한 감정 확률 벡터에 softmax 함수를 적용해보자\n",
    "    # 이때 softmax 산출 결과를 output 변수로 저장하고 함수의 리턴하자.\n",
    "    softmax = torch.nn.Softmax()\n",
    "    output = softmax(outputs)\n",
    "    \n",
    "    return output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 42915,
     "status": "ok",
     "timestamp": 1657723304317,
     "user": {
      "displayName": "­한창희 / 학생 / 자유전공학부",
      "userId": "01976388879647653081"
     },
     "user_tz": -540
    },
    "id": "kwiuyp0BruXy",
    "outputId": "8cf72315-5999-4a1e-e0bc-93bde8a18de2"
   },
   "outputs": [],
   "source": [
    "if __name__ == '__main__':\n",
    "  while True:\n",
    "    input_str = input()\n",
    "\n",
    "    # q를 입력하면 while 루프 끝\n",
    "    if input_str == \"q\":\n",
    "      break\n",
    "\n",
    "    # 입력받은 문장을 토큰화\n",
    "    tokenizer = KoBertTokenizer.from_pretrained(\"monologg/kobert\")\n",
    "    tokenized_data = [data_to_token_ids(tokenizer, input_str)]\n",
    "    attention_masks = [token_ids_to_mask(token_ids) for token_ids in tokenized_data]\n",
    "\n",
    "    # 토큰을 텐서로 변환\n",
    "    inputs_tensor = torch.tensor(tokenized_data).to(device)\n",
    "    masks_tensor = torch.tensor(attention_masks).to(device)\n",
    "\n",
    "    # 신경망의 Forward 함수 활용\n",
    "    # 위의 두 텐서와 'model'의 forward 함수를 이용해서 감정에 대한 확률 벡터를 산출해보자.\n",
    "    # 이때 산출된 확률 벡터를 outputs 변수로 저장하자.\n",
    "    ## 여기에 코드 작성\n",
    "\n",
    "    # 위에서 산출한 감정 확률 벡터에 softmax 함수를 적용해보자\n",
    "    # 이때 softmax 산출 결과를 output 변수로 저장하고 함수의 리턴하자.\n",
    "    ## 여기에 코드 작성\n",
    "\n",
    "    # 두 개 해서 2점\n",
    "  "
   ]
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "colab": {
   "collapsed_sections": [],
   "name": "nlp_main_final.ipynb",
   "provenance": []
  },
  "gpuClass": "standard",
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.13"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "0ae48db10cd84fbbbefda7d4aa4f24d6": {
     "model_module": "@jupyter-widgets/base",
     "model_module_version": "1.2.0",
     "model_name": "LayoutModel",
     "state": {
      "_model_module": "@jupyter-widgets/base",
      "_model_module_version": "1.2.0",
      "_model_name": "LayoutModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/base",
      "_view_module_version": "1.2.0",
      "_view_name": "LayoutView",
      "align_content": null,
      "align_items": null,
      "align_self": null,
      "border": null,
      "bottom": null,
      "display": null,
      "flex": null,
      "flex_flow": null,
      "grid_area": null,
      "grid_auto_columns": null,
      "grid_auto_flow": null,
      "grid_auto_rows": null,
      "grid_column": null,
      "grid_gap": null,
      "grid_row": null,
      "grid_template_areas": null,
      "grid_template_columns": null,
      "grid_template_rows": null,
      "height": null,
      "justify_content": null,
      "justify_items": null,
      "left": null,
      "margin": null,
      "max_height": null,
      "max_width": null,
      "min_height": null,
      "min_width": null,
      "object_fit": null,
      "object_position": null,
      "order": null,
      "overflow": null,
      "overflow_x": null,
      "overflow_y": null,
      "padding": null,
      "right": null,
      "top": null,
      "visibility": null,
      "width": null
     }
    },
    "1d0d29dc3d434968ae5ec0495d9fd920": {
     "model_module": "@jupyter-widgets/controls",
     "model_module_version": "1.5.0",
     "model_name": "ProgressStyleModel",
     "state": {
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "ProgressStyleModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/base",
      "_view_module_version": "1.2.0",
      "_view_name": "StyleView",
      "bar_color": null,
      "description_width": ""
     }
    },
    "2a742bd1c7e244bda62aa584f456aaaa": {
     "model_module": "@jupyter-widgets/controls",
     "model_module_version": "1.5.0",
     "model_name": "FloatProgressModel",
     "state": {
      "_dom_classes": [],
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "FloatProgressModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/controls",
      "_view_module_version": "1.5.0",
      "_view_name": "ProgressView",
      "bar_style": "success",
      "description": "",
      "description_tooltip": null,
      "layout": "IPY_MODEL_e35a5bc153be4702b59da91fb7e9970a",
      "max": 368792146,
      "min": 0,
      "orientation": "horizontal",
      "style": "IPY_MODEL_8249f5f6c8304174beff6431cb38bc5b",
      "value": 368792146
     }
    },
    "2e233ba32caa454cb2e21e04ef17346c": {
     "model_module": "@jupyter-widgets/controls",
     "model_module_version": "1.5.0",
     "model_name": "HBoxModel",
     "state": {
      "_dom_classes": [],
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "HBoxModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/controls",
      "_view_module_version": "1.5.0",
      "_view_name": "HBoxView",
      "box_style": "",
      "children": [
       "IPY_MODEL_819f559eda314acfb279db8d950ec053",
       "IPY_MODEL_2a742bd1c7e244bda62aa584f456aaaa",
       "IPY_MODEL_b7be072378e74fcf8c03ec52fb886ac6"
      ],
      "layout": "IPY_MODEL_d22a60f6422f4cbbb2718e452ee8f05a"
     }
    },
    "40bd926397ea4e5a8edd8559fd6aae38": {
     "model_module": "@jupyter-widgets/controls",
     "model_module_version": "1.5.0",
     "model_name": "HTMLModel",
     "state": {
      "_dom_classes": [],
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "HTMLModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/controls",
      "_view_module_version": "1.5.0",
      "_view_name": "HTMLView",
      "description": "",
      "description_tooltip": null,
      "layout": "IPY_MODEL_0ae48db10cd84fbbbefda7d4aa4f24d6",
      "placeholder": "​",
      "style": "IPY_MODEL_783648fa23e94033958af60a581626f3",
      "value": "Downloading: 100%"
     }
    },
    "42180030c6754e54a16b017f1a70f893": {
     "model_module": "@jupyter-widgets/base",
     "model_module_version": "1.2.0",
     "model_name": "LayoutModel",
     "state": {
      "_model_module": "@jupyter-widgets/base",
      "_model_module_version": "1.2.0",
      "_model_name": "LayoutModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/base",
      "_view_module_version": "1.2.0",
      "_view_name": "LayoutView",
      "align_content": null,
      "align_items": null,
      "align_self": null,
      "border": null,
      "bottom": null,
      "display": null,
      "flex": null,
      "flex_flow": null,
      "grid_area": null,
      "grid_auto_columns": null,
      "grid_auto_flow": null,
      "grid_auto_rows": null,
      "grid_column": null,
      "grid_gap": null,
      "grid_row": null,
      "grid_template_areas": null,
      "grid_template_columns": null,
      "grid_template_rows": null,
      "height": null,
      "justify_content": null,
      "justify_items": null,
      "left": null,
      "margin": null,
      "max_height": null,
      "max_width": null,
      "min_height": null,
      "min_width": null,
      "object_fit": null,
      "object_position": null,
      "order": null,
      "overflow": null,
      "overflow_x": null,
      "overflow_y": null,
      "padding": null,
      "right": null,
      "top": null,
      "visibility": null,
      "width": null
     }
    },
    "43718e51fe2444e2921f3e9daab73fe4": {
     "model_module": "@jupyter-widgets/controls",
     "model_module_version": "1.5.0",
     "model_name": "HBoxModel",
     "state": {
      "_dom_classes": [],
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "HBoxModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/controls",
      "_view_module_version": "1.5.0",
      "_view_name": "HBoxView",
      "box_style": "",
      "children": [
       "IPY_MODEL_40bd926397ea4e5a8edd8559fd6aae38",
       "IPY_MODEL_ddabbf6f35ab4623ae8fcc70ef9c8c1c",
       "IPY_MODEL_d143ee096d7747c1a12e7931922f93ac"
      ],
      "layout": "IPY_MODEL_42180030c6754e54a16b017f1a70f893"
     }
    },
    "4ad77967b0d84acf953eb1c110e2e920": {
     "model_module": "@jupyter-widgets/base",
     "model_module_version": "1.2.0",
     "model_name": "LayoutModel",
     "state": {
      "_model_module": "@jupyter-widgets/base",
      "_model_module_version": "1.2.0",
      "_model_name": "LayoutModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/base",
      "_view_module_version": "1.2.0",
      "_view_name": "LayoutView",
      "align_content": null,
      "align_items": null,
      "align_self": null,
      "border": null,
      "bottom": null,
      "display": null,
      "flex": null,
      "flex_flow": null,
      "grid_area": null,
      "grid_auto_columns": null,
      "grid_auto_flow": null,
      "grid_auto_rows": null,
      "grid_column": null,
      "grid_gap": null,
      "grid_row": null,
      "grid_template_areas": null,
      "grid_template_columns": null,
      "grid_template_rows": null,
      "height": null,
      "justify_content": null,
      "justify_items": null,
      "left": null,
      "margin": null,
      "max_height": null,
      "max_width": null,
      "min_height": null,
      "min_width": null,
      "object_fit": null,
      "object_position": null,
      "order": null,
      "overflow": null,
      "overflow_x": null,
      "overflow_y": null,
      "padding": null,
      "right": null,
      "top": null,
      "visibility": null,
      "width": null
     }
    },
    "724817e53ada40f88e509b20e4513b75": {
     "model_module": "@jupyter-widgets/controls",
     "model_module_version": "1.5.0",
     "model_name": "DescriptionStyleModel",
     "state": {
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "DescriptionStyleModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/base",
      "_view_module_version": "1.2.0",
      "_view_name": "StyleView",
      "description_width": ""
     }
    },
    "7503d27fdc984532ba9d2f63677bb6be": {
     "model_module": "@jupyter-widgets/controls",
     "model_module_version": "1.5.0",
     "model_name": "DescriptionStyleModel",
     "state": {
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "DescriptionStyleModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/base",
      "_view_module_version": "1.2.0",
      "_view_name": "StyleView",
      "description_width": ""
     }
    },
    "783648fa23e94033958af60a581626f3": {
     "model_module": "@jupyter-widgets/controls",
     "model_module_version": "1.5.0",
     "model_name": "DescriptionStyleModel",
     "state": {
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "DescriptionStyleModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/base",
      "_view_module_version": "1.2.0",
      "_view_name": "StyleView",
      "description_width": ""
     }
    },
    "819f559eda314acfb279db8d950ec053": {
     "model_module": "@jupyter-widgets/controls",
     "model_module_version": "1.5.0",
     "model_name": "HTMLModel",
     "state": {
      "_dom_classes": [],
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "HTMLModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/controls",
      "_view_module_version": "1.5.0",
      "_view_name": "HTMLView",
      "description": "",
      "description_tooltip": null,
      "layout": "IPY_MODEL_a966813ca5f141d189f3caba126ba15a",
      "placeholder": "​",
      "style": "IPY_MODEL_724817e53ada40f88e509b20e4513b75",
      "value": "Downloading: 100%"
     }
    },
    "8249f5f6c8304174beff6431cb38bc5b": {
     "model_module": "@jupyter-widgets/controls",
     "model_module_version": "1.5.0",
     "model_name": "ProgressStyleModel",
     "state": {
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "ProgressStyleModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/base",
      "_view_module_version": "1.2.0",
      "_view_name": "StyleView",
      "bar_color": null,
      "description_width": ""
     }
    },
    "9f423751e6654fb7a0a89282b29b2235": {
     "model_module": "@jupyter-widgets/controls",
     "model_module_version": "1.5.0",
     "model_name": "DescriptionStyleModel",
     "state": {
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "DescriptionStyleModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/base",
      "_view_module_version": "1.2.0",
      "_view_name": "StyleView",
      "description_width": ""
     }
    },
    "a966813ca5f141d189f3caba126ba15a": {
     "model_module": "@jupyter-widgets/base",
     "model_module_version": "1.2.0",
     "model_name": "LayoutModel",
     "state": {
      "_model_module": "@jupyter-widgets/base",
      "_model_module_version": "1.2.0",
      "_model_name": "LayoutModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/base",
      "_view_module_version": "1.2.0",
      "_view_name": "LayoutView",
      "align_content": null,
      "align_items": null,
      "align_self": null,
      "border": null,
      "bottom": null,
      "display": null,
      "flex": null,
      "flex_flow": null,
      "grid_area": null,
      "grid_auto_columns": null,
      "grid_auto_flow": null,
      "grid_auto_rows": null,
      "grid_column": null,
      "grid_gap": null,
      "grid_row": null,
      "grid_template_areas": null,
      "grid_template_columns": null,
      "grid_template_rows": null,
      "height": null,
      "justify_content": null,
      "justify_items": null,
      "left": null,
      "margin": null,
      "max_height": null,
      "max_width": null,
      "min_height": null,
      "min_width": null,
      "object_fit": null,
      "object_position": null,
      "order": null,
      "overflow": null,
      "overflow_x": null,
      "overflow_y": null,
      "padding": null,
      "right": null,
      "top": null,
      "visibility": null,
      "width": null
     }
    },
    "b7be072378e74fcf8c03ec52fb886ac6": {
     "model_module": "@jupyter-widgets/controls",
     "model_module_version": "1.5.0",
     "model_name": "HTMLModel",
     "state": {
      "_dom_classes": [],
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "HTMLModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/controls",
      "_view_module_version": "1.5.0",
      "_view_name": "HTMLView",
      "description": "",
      "description_tooltip": null,
      "layout": "IPY_MODEL_d3ae29b76f734b11becac107826ded01",
      "placeholder": "​",
      "style": "IPY_MODEL_9f423751e6654fb7a0a89282b29b2235",
      "value": " 369M/369M [00:09&lt;00:00, 58.6MB/s]"
     }
    },
    "cf3a7d465bb3411fb34a00be54b64e89": {
     "model_module": "@jupyter-widgets/base",
     "model_module_version": "1.2.0",
     "model_name": "LayoutModel",
     "state": {
      "_model_module": "@jupyter-widgets/base",
      "_model_module_version": "1.2.0",
      "_model_name": "LayoutModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/base",
      "_view_module_version": "1.2.0",
      "_view_name": "LayoutView",
      "align_content": null,
      "align_items": null,
      "align_self": null,
      "border": null,
      "bottom": null,
      "display": null,
      "flex": null,
      "flex_flow": null,
      "grid_area": null,
      "grid_auto_columns": null,
      "grid_auto_flow": null,
      "grid_auto_rows": null,
      "grid_column": null,
      "grid_gap": null,
      "grid_row": null,
      "grid_template_areas": null,
      "grid_template_columns": null,
      "grid_template_rows": null,
      "height": null,
      "justify_content": null,
      "justify_items": null,
      "left": null,
      "margin": null,
      "max_height": null,
      "max_width": null,
      "min_height": null,
      "min_width": null,
      "object_fit": null,
      "object_position": null,
      "order": null,
      "overflow": null,
      "overflow_x": null,
      "overflow_y": null,
      "padding": null,
      "right": null,
      "top": null,
      "visibility": null,
      "width": null
     }
    },
    "d143ee096d7747c1a12e7931922f93ac": {
     "model_module": "@jupyter-widgets/controls",
     "model_module_version": "1.5.0",
     "model_name": "HTMLModel",
     "state": {
      "_dom_classes": [],
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "HTMLModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/controls",
      "_view_module_version": "1.5.0",
      "_view_name": "HTMLView",
      "description": "",
      "description_tooltip": null,
      "layout": "IPY_MODEL_cf3a7d465bb3411fb34a00be54b64e89",
      "placeholder": "​",
      "style": "IPY_MODEL_7503d27fdc984532ba9d2f63677bb6be",
      "value": " 426/426 [00:00&lt;00:00, 7.86kB/s]"
     }
    },
    "d22a60f6422f4cbbb2718e452ee8f05a": {
     "model_module": "@jupyter-widgets/base",
     "model_module_version": "1.2.0",
     "model_name": "LayoutModel",
     "state": {
      "_model_module": "@jupyter-widgets/base",
      "_model_module_version": "1.2.0",
      "_model_name": "LayoutModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/base",
      "_view_module_version": "1.2.0",
      "_view_name": "LayoutView",
      "align_content": null,
      "align_items": null,
      "align_self": null,
      "border": null,
      "bottom": null,
      "display": null,
      "flex": null,
      "flex_flow": null,
      "grid_area": null,
      "grid_auto_columns": null,
      "grid_auto_flow": null,
      "grid_auto_rows": null,
      "grid_column": null,
      "grid_gap": null,
      "grid_row": null,
      "grid_template_areas": null,
      "grid_template_columns": null,
      "grid_template_rows": null,
      "height": null,
      "justify_content": null,
      "justify_items": null,
      "left": null,
      "margin": null,
      "max_height": null,
      "max_width": null,
      "min_height": null,
      "min_width": null,
      "object_fit": null,
      "object_position": null,
      "order": null,
      "overflow": null,
      "overflow_x": null,
      "overflow_y": null,
      "padding": null,
      "right": null,
      "top": null,
      "visibility": null,
      "width": null
     }
    },
    "d3ae29b76f734b11becac107826ded01": {
     "model_module": "@jupyter-widgets/base",
     "model_module_version": "1.2.0",
     "model_name": "LayoutModel",
     "state": {
      "_model_module": "@jupyter-widgets/base",
      "_model_module_version": "1.2.0",
      "_model_name": "LayoutModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/base",
      "_view_module_version": "1.2.0",
      "_view_name": "LayoutView",
      "align_content": null,
      "align_items": null,
      "align_self": null,
      "border": null,
      "bottom": null,
      "display": null,
      "flex": null,
      "flex_flow": null,
      "grid_area": null,
      "grid_auto_columns": null,
      "grid_auto_flow": null,
      "grid_auto_rows": null,
      "grid_column": null,
      "grid_gap": null,
      "grid_row": null,
      "grid_template_areas": null,
      "grid_template_columns": null,
      "grid_template_rows": null,
      "height": null,
      "justify_content": null,
      "justify_items": null,
      "left": null,
      "margin": null,
      "max_height": null,
      "max_width": null,
      "min_height": null,
      "min_width": null,
      "object_fit": null,
      "object_position": null,
      "order": null,
      "overflow": null,
      "overflow_x": null,
      "overflow_y": null,
      "padding": null,
      "right": null,
      "top": null,
      "visibility": null,
      "width": null
     }
    },
    "ddabbf6f35ab4623ae8fcc70ef9c8c1c": {
     "model_module": "@jupyter-widgets/controls",
     "model_module_version": "1.5.0",
     "model_name": "FloatProgressModel",
     "state": {
      "_dom_classes": [],
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "FloatProgressModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/controls",
      "_view_module_version": "1.5.0",
      "_view_name": "ProgressView",
      "bar_style": "success",
      "description": "",
      "description_tooltip": null,
      "layout": "IPY_MODEL_4ad77967b0d84acf953eb1c110e2e920",
      "max": 426,
      "min": 0,
      "orientation": "horizontal",
      "style": "IPY_MODEL_1d0d29dc3d434968ae5ec0495d9fd920",
      "value": 426
     }
    },
    "e35a5bc153be4702b59da91fb7e9970a": {
     "model_module": "@jupyter-widgets/base",
     "model_module_version": "1.2.0",
     "model_name": "LayoutModel",
     "state": {
      "_model_module": "@jupyter-widgets/base",
      "_model_module_version": "1.2.0",
      "_model_name": "LayoutModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/base",
      "_view_module_version": "1.2.0",
      "_view_name": "LayoutView",
      "align_content": null,
      "align_items": null,
      "align_self": null,
      "border": null,
      "bottom": null,
      "display": null,
      "flex": null,
      "flex_flow": null,
      "grid_area": null,
      "grid_auto_columns": null,
      "grid_auto_flow": null,
      "grid_auto_rows": null,
      "grid_column": null,
      "grid_gap": null,
      "grid_row": null,
      "grid_template_areas": null,
      "grid_template_columns": null,
      "grid_template_rows": null,
      "height": null,
      "justify_content": null,
      "justify_items": null,
      "left": null,
      "margin": null,
      "max_height": null,
      "max_width": null,
      "min_height": null,
      "min_width": null,
      "object_fit": null,
      "object_position": null,
      "order": null,
      "overflow": null,
      "overflow_x": null,
      "overflow_y": null,
      "padding": null,
      "right": null,
      "top": null,
      "visibility": null,
      "width": null
     }
    }
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}