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  "cells": [
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      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "id": "MICzCw-QwnX_"
      },
      "outputs": [],
      "source": [
        "!pip install transformers -q"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Load model directly\n",
        "from transformers import AutoTokenizer, AutoModelForSequenceClassification\n",
        "\n",
        "tokenizer = AutoTokenizer.from_pretrained(\"mrm8488/bert-tiny-finetuned-enron-spam-detection\")\n",
        "model = AutoModelForSequenceClassification.from_pretrained(\"mrm8488/bert-tiny-finetuned-enron-spam-detection\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 209,
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        "outputId": "febbff88-e0d8-47b7-8368-1fffafb551c3"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)okenizer_config.json:   0%|          | 0.00/389 [00:00<?, ?B/s]"
            ],
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        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)solve/main/vocab.txt:   0%|          | 0.00/232k [00:00<?, ?B/s]"
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          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)/main/tokenizer.json:   0%|          | 0.00/711k [00:00<?, ?B/s]"
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            "text/plain": [
              "Downloading (…)cial_tokens_map.json:   0%|          | 0.00/125 [00:00<?, ?B/s]"
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            "text/plain": [
              "Downloading (…)lve/main/config.json:   0%|          | 0.00/705 [00:00<?, ?B/s]"
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          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading model.safetensors:   0%|          | 0.00/17.6M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
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            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "\n",
        "message = '''buy online and save viagra price for this high demand med best price for this high demand med best price for this high demand med buy nowbuy nowbuy price for this high demand med best price for this high demand med best price for this high demand med buy nowbuy nowbuy nowcialis soft price for this high demand med best price for this high demand med best price for this high demand med buy nowbuy nowbuy your penis width ( girth ) by 20 % gain up to 3 + full inches in length buy nowbuy now'''"
      ],
      "metadata": {
        "id": "-32GjWrDxAie"
      },
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "input = tokenizer(message, return_tensors='pt', padding=True)\n",
        "input"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KQJjrMAX0BWV",
        "outputId": "8adeae08-80a9-4ae1-bbe5-f6bd685573dd"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'input_ids': tensor([[  101,  4965,  3784,  1998,  3828,  3081, 17643,  3976,  2005,  2023,\n",
              "          2152,  5157, 19960,  2190,  3976,  2005,  2023,  2152,  5157, 19960,\n",
              "          2190,  3976,  2005,  2023,  2152,  5157, 19960,  4965,  2085,  8569,\n",
              "          2100,  2085,  8569,  2100,  3976,  2005,  2023,  2152,  5157, 19960,\n",
              "          2190,  3976,  2005,  2023,  2152,  5157, 19960,  2190,  3976,  2005,\n",
              "          2023,  2152,  5157, 19960,  4965,  2085,  8569,  2100,  2085,  8569,\n",
              "          2100,  2085, 13247,  2483,  3730,  3976,  2005,  2023,  2152,  5157,\n",
              "         19960,  2190,  3976,  2005,  2023,  2152,  5157, 19960,  2190,  3976,\n",
              "          2005,  2023,  2152,  5157, 19960,  4965,  2085,  8569,  2100,  2085,\n",
              "          8569,  2100,  2115, 19085,  9381,  1006, 21025, 15265,  1007,  2011,\n",
              "          2322,  1003,  5114,  2039,  2000,  1017,  1009,  2440,  5282,  1999,\n",
              "          3091,  4965,  2085,  8569,  2100,  2085,   102]]), 'token_type_ids': tensor([[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
              "         0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
              "         0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
              "         0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
              "         0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]), 'attention_mask': tensor([[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
              "         1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
              "         1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
              "         1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
              "         1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]])}"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "output = model(**input)\n",
        "logits = output.logits"
      ],
      "metadata": {
        "id": "ooU4TVH71mLw"
      },
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import torch\n",
        "\n",
        "prob = torch.nn.functional.softmax(logits, dim=-1)\n",
        "predicted_class = torch.argmax(prob, dim=-1)\n",
        "predicted_class = predicted_class.item()\n",
        "print(predicted_class)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vlrxP2Bu2FmG",
        "outputId": "541045d2-8ca2-4861-edc0-fae4ce4960b8"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "1\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "class_dict = {0: 'not_spam', 1: 'spam'}\n",
        "predicted_class_label = class_dict[predicted_class]"
      ],
      "metadata": {
        "id": "P0od0bls3Sef"
      },
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(predicted_class_label)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EzkFcmIl3evG",
        "outputId": "0d9c875e-cf89-4a3b-c2b1-f1db08cd1401"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "spam\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "spam_email_strings = [\n",
        "    \"Congratulations! You've won a luxury vacation!\\nHi there,\\n...\",\n",
        "    \"Urgent: Your account needs immediate attention\\nDear Customer,\\n...\",\n",
        "    \"Exclusive Limited Time Offer: 90% off all products!\\nHello Shoppers,\\n...\",\n",
        "    \"You've won the lottery! Claim your millions now!\\nCongratulations Winner,\\n...\",\n",
        "    \"Boost your business with our guaranteed marketing strategies\\nDear Business Owner,\\n...\",\n",
        "    \"Important Tax Refund Notification\\nDear Taxpayer,\\n...\",\n",
        "    \"Hot Singles in Your Area are Waiting to Chat!\\nHey there,\\n...\",\n",
        "    \"Re: Your Invoice #12345\\nDear Valued Customer,\\n...\",\n",
        "    \"Exclusive Investment Opportunity: Guaranteed 300% ROI\\nHello Investor,\\n...\",\n",
        "    \"Claim Your Inheritance from a Distant Relative\\nDearest Beneficiary,\\n...\"\n",
        "]\n",
        "\n",
        "data = {'Email': spam_email_strings}\n",
        "df = pd.DataFrame(data)\n",
        "\n",
        "df.to_csv('spam_dataset.csv', index=False)"
      ],
      "metadata": {
        "id": "58jJcR6d5A71"
      },
      "execution_count": 23,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df2 = pd.read_csv('spam_dataset.csv')\n",
        "df2"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 363
        },
        "id": "6rXnzJEK5VCX",
        "outputId": "8b3ac6fd-79e5-44ec-cc32-93064319f156"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                               Email\n",
              "0  Congratulations! You've won a luxury vacation!...\n",
              "1  Urgent: Your account needs immediate attention...\n",
              "2  Exclusive Limited Time Offer: 90% off all prod...\n",
              "3  You've won the lottery! Claim your millions no...\n",
              "4  Boost your business with our guaranteed market...\n",
              "5  Important Tax Refund Notification\\nDear Taxpay...\n",
              "6  Hot Singles in Your Area are Waiting to Chat!\\...\n",
              "7  Re: Your Invoice #12345\\nDear Valued Customer,...\n",
              "8  Exclusive Investment Opportunity: Guaranteed 3...\n",
              "9  Claim Your Inheritance from a Distant Relative..."
            ],
            "text/html": [
              "\n",
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              "  <div id=\"df-29a90554-d92c-4e4f-9ed2-54facb848ab4\">\n",
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              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "      <td>Important Tax Refund Notification\\nDear Taxpay...</td>\n",
              "    </tr>\n",
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              "      <th>6</th>\n",
              "      <td>Hot Singles in Your Area are Waiting to Chat!\\...</td>\n",
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              "      <td>Re: Your Invoice #12345\\nDear Valued Customer,...</td>\n",
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              "      <th>9</th>\n",
              "      <td>Claim Your Inheritance from a Distant Relative...</td>\n",
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              "  </tbody>\n",
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              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "\n",
              "    <div id=\"df-0380d3c1-61b3-47b2-8d0d-0912332167d5\">\n",
              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-0380d3c1-61b3-47b2-8d0d-0912332167d5')\"\n",
              "              title=\"Suggest charts.\"\n",
              "              style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "      </button>\n",
              "    </div>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "    background-color: #E8F0FE;\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: #1967D2;\n",
              "    height: 32px;\n",
              "    padding: 0 0 0 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: #E2EBFA;\n",
              "    box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: #174EA6;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "    background-color: #3B4455;\n",
              "    fill: #D2E3FC;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart:hover {\n",
              "    background-color: #434B5C;\n",
              "    box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "    filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "    fill: #FFFFFF;\n",
              "  }\n",
              "</style>\n",
              "\n",
              "    <script>\n",
              "      async function quickchart(key) {\n",
              "        const containerElement = document.querySelector('#' + key);\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      }\n",
              "    </script>\n",
              "\n",
              "      <script>\n",
              "\n",
              "function displayQuickchartButton(domScope) {\n",
              "  let quickchartButtonEl =\n",
              "    domScope.querySelector('#df-0380d3c1-61b3-47b2-8d0d-0912332167d5 button.colab-df-quickchart');\n",
              "  quickchartButtonEl.style.display =\n",
              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "}\n",
              "\n",
              "        displayQuickchartButton(document);\n",
              "      </script>\n",
              "      <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-29a90554-d92c-4e4f-9ed2-54facb848ab4 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-29a90554-d92c-4e4f-9ed2-54facb848ab4');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def evaluate_transformer(message):\n",
        "  input = tokenizer(message, return_tensors='pt', padding=True)\n",
        "  output = model(**input)\n",
        "  logits = output.logits\n",
        "  prob = torch.nn.functional.softmax(logits, dim=-1)\n",
        "  predicted_class = torch.argmax(prob, dim=-1)\n",
        "  predicted_class = predicted_class.item()\n",
        "  class_dict = {0: 'not_spam', 1: 'spam'}\n",
        "  predicted_class_label = class_dict[predicted_class]\n",
        "  return predicted_class_label"
      ],
      "metadata": {
        "id": "UkYVVoFF51Fx"
      },
      "execution_count": 27,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "messages = df2[\"Email\"].unique()\n",
        "evaluations = []\n",
        "for m in messages:\n",
        "  evaluations.append(evaluate_transformer(m))"
      ],
      "metadata": {
        "id": "03lllNcD5ipt"
      },
      "execution_count": 28,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df_clean = pd.DataFrame({'Messages': messages, 'Type': evaluations})\n",
        "df_clean"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 363
        },
        "id": "irUx7tnO61NJ",
        "outputId": "0b776139-d5ad-4d0d-a6c9-c90bb9ca9de5"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                            Messages  Type\n",
              "0  Congratulations! You've won a luxury vacation!...  spam\n",
              "1  Urgent: Your account needs immediate attention...  spam\n",
              "2  Exclusive Limited Time Offer: 90% off all prod...  spam\n",
              "3  You've won the lottery! Claim your millions no...  spam\n",
              "4  Boost your business with our guaranteed market...  spam\n",
              "5  Important Tax Refund Notification\\nDear Taxpay...  spam\n",
              "6  Hot Singles in Your Area are Waiting to Chat!\\...  spam\n",
              "7  Re: Your Invoice #12345\\nDear Valued Customer,...  spam\n",
              "8  Exclusive Investment Opportunity: Guaranteed 3...  spam\n",
              "9  Claim Your Inheritance from a Distant Relative...  spam"
            ],
            "text/html": [
              "\n",
              "\n",
              "  <div id=\"df-308f3c1a-ce5a-4af8-8e69-962e64ad028e\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Messages</th>\n",
              "      <th>Type</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Congratulations! You've won a luxury vacation!...</td>\n",
              "      <td>spam</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Urgent: Your account needs immediate attention...</td>\n",
              "      <td>spam</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Exclusive Limited Time Offer: 90% off all prod...</td>\n",
              "      <td>spam</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>You've won the lottery! Claim your millions no...</td>\n",
              "      <td>spam</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Boost your business with our guaranteed market...</td>\n",
              "      <td>spam</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Important Tax Refund Notification\\nDear Taxpay...</td>\n",
              "      <td>spam</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Hot Singles in Your Area are Waiting to Chat!\\...</td>\n",
              "      <td>spam</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Re: Your Invoice #12345\\nDear Valued Customer,...</td>\n",
              "      <td>spam</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Exclusive Investment Opportunity: Guaranteed 3...</td>\n",
              "      <td>spam</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Claim Your Inheritance from a Distant Relative...</td>\n",
              "      <td>spam</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-308f3c1a-ce5a-4af8-8e69-962e64ad028e')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "  </svg>\n",
              "      </button>\n",
              "\n",
              "\n",
              "\n",
              "    <div id=\"df-3bd12ef3-a63e-4ccb-a157-fd4b0cd5de67\">\n",
              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-3bd12ef3-a63e-4ccb-a157-fd4b0cd5de67')\"\n",
              "              title=\"Suggest charts.\"\n",
              "              style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "      </button>\n",
              "    </div>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "    background-color: #E8F0FE;\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: #1967D2;\n",
              "    height: 32px;\n",
              "    padding: 0 0 0 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: #E2EBFA;\n",
              "    box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: #174EA6;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "    background-color: #3B4455;\n",
              "    fill: #D2E3FC;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart:hover {\n",
              "    background-color: #434B5C;\n",
              "    box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "    filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "    fill: #FFFFFF;\n",
              "  }\n",
              "</style>\n",
              "\n",
              "    <script>\n",
              "      async function quickchart(key) {\n",
              "        const containerElement = document.querySelector('#' + key);\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      }\n",
              "    </script>\n",
              "\n",
              "      <script>\n",
              "\n",
              "function displayQuickchartButton(domScope) {\n",
              "  let quickchartButtonEl =\n",
              "    domScope.querySelector('#df-3bd12ef3-a63e-4ccb-a157-fd4b0cd5de67 button.colab-df-quickchart');\n",
              "  quickchartButtonEl.style.display =\n",
              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "}\n",
              "\n",
              "        displayQuickchartButton(document);\n",
              "      </script>\n",
              "      <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-308f3c1a-ce5a-4af8-8e69-962e64ad028e button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-308f3c1a-ce5a-4af8-8e69-962e64ad028e');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 29
        }
      ]
    }
  ]
}