Chatbot_Preprocess_Split.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "## Install Libraries, Import Libraries, Collect Data"
      ],
      "metadata": {
        "id": "gWGLkxdaLRHE"
      },
      "id": "gWGLkxdaLRHE"
    },
    {
      "cell_type": "code",
      "source": [
        "# Download directly from Kaggle - Thai is using this 'code block' for file path\n",
        "# !pip install kaggle\n",
        "import os\n",
        "import pandas as pd\n",
        "\n",
        "# Set Kaggle API credentials\n",
        "os.environ['KAGGLE_USERNAME'] = 'outhaixayavongsa'  # Replace with your Kaggle username\n",
        "os.environ['KAGGLE_KEY'] = '013bebdbf0776ed704f846ef0b3b3381'  # Replace with your Kaggle API key\n",
        "\n",
        "# Download the dataset\n",
        "!kaggle datasets download -d rajathmc/cornell-moviedialog-corpus\n",
        "\n",
        "# Unzip the dataset (A for All and Press Enter))\n",
        "!unzip cornell-moviedialog-corpus.zip"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "8yeMXjFPDbG7",
        "outputId": "1db795de-b73f-45c9-e1b9-baf2903b9bca"
      },
      "id": "8yeMXjFPDbG7",
      "execution_count": 88,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Dataset URL: https://www.kaggle.com/datasets/rajathmc/cornell-moviedialog-corpus\n",
            "License(s): CC0-1.0\n",
            "cornell-moviedialog-corpus.zip: Skipping, found more recently modified local copy (use --force to force download)\n",
            "Archive:  cornell-moviedialog-corpus.zip\n",
            "replace .DS_Store? [y]es, [n]o, [A]ll, [N]one, [r]ename: A\n",
            "  inflating: .DS_Store               \n",
            "  inflating: README.txt              \n",
            "  inflating: chameleons.pdf          \n",
            "  inflating: movie_characters_metadata.txt  \n",
            "  inflating: movie_conversations.txt  \n",
            "  inflating: movie_lines.txt         \n",
            "  inflating: movie_titles_metadata.txt  \n",
            "  inflating: raw_script_urls.txt     \n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# List files to ensure they were extracted from kaggle\n",
        "extracted_files = os.listdir()\n",
        "\"Extracted files:\", extracted_files"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "icQcxa97K9Ay",
        "outputId": "6f3531dd-cf19-427f-9df6-9a9b1f1f13fc"
      },
      "id": "icQcxa97K9Ay",
      "execution_count": 89,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "('Extracted files:',\n",
              " ['.config',\n",
              "  'movie_characters_metadata.txt',\n",
              "  'cornell_movie_data',\n",
              "  '.DS_Store',\n",
              "  'README.txt',\n",
              "  'raw_script_urls.txt',\n",
              "  'movie_lines.txt',\n",
              "  'chameleons.pdf',\n",
              "  'movie_conversations.txt',\n",
              "  'drive',\n",
              "  'cornell-moviedialog-corpus.zip',\n",
              "  'movie_titles_metadata.txt',\n",
              "  'sample_data'])"
            ]
          },
          "metadata": {},
          "execution_count": 89
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Load and Explore Data"
      ],
      "metadata": {
        "id": "AtAY_EdMLqXx"
      },
      "id": "AtAY_EdMLqXx"
    },
    {
      "cell_type": "code",
      "execution_count": 90,
      "id": "51d61db5-d3f9-4dd4-b6ab-e7c801e2f92f",
      "metadata": {
        "id": "51d61db5-d3f9-4dd4-b6ab-e7c801e2f92f"
      },
      "outputs": [],
      "source": [
        "# Individual Team member's file path\n",
        "import os\n",
        "import pandas as pd\n",
        "\n",
        "# Define the folder path\n",
        "# folder_path = 'C:/MS_AAI/CornellMovie/' #Anand data path file\n",
        "# folder_path = 'C:/Users/Saad/Desktop/Saad Learnings/Python/School Python/Natural Language Processing/Project/CornellMovie/' #Saad data path file\n",
        "folder_path = './' # Thai data path file"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Initialize a dictionary to store file content\n",
        "data = {}\n",
        "\n",
        "# Loop through each file in the directory\n",
        "for file_name in os.listdir(folder_path):\n",
        "    if file_name.endswith('.txt'):\n",
        "        file_path = os.path.join(folder_path, file_name)\n",
        "        with open(file_path, 'r', encoding='utf-8', errors='replace') as file:\n",
        "            content = file.readlines()  # Read each line\n",
        "        data[file_name] = content\n",
        "\n",
        "df = pd.DataFrame(dict([(k, pd.Series(v)) for k, v in data.items()]))\n",
        "\n",
        "# Load completed\n",
        "print(\"Data loaded successfully!\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "-Dgu7cY-HM1D",
        "outputId": "2967bd19-4dc1-4572-f562-ac9defd6900d"
      },
      "id": "-Dgu7cY-HM1D",
      "execution_count": 91,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Data loaded successfully!\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 92,
      "id": "f7572640-f552-4870-a7cd-421ad09986b3",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1077
        },
        "id": "f7572640-f552-4870-a7cd-421ad09986b3",
        "outputId": "3c701ba8-b78f-404e-ec91-0538cb95d7c6"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "1. Basic Information:\n",
            "Number of rows: 304713\n",
            "Number of columns: 6\n",
            "\n",
            "2. Data Types:\n",
            "movie_characters_metadata.txt    object\n",
            "README.txt                       object\n",
            "raw_script_urls.txt              object\n",
            "movie_lines.txt                  object\n",
            "movie_conversations.txt          object\n",
            "movie_titles_metadata.txt        object\n",
            "dtype: object\n",
            "\n",
            "3. Missing Values:\n",
            "movie_characters_metadata.txt    295678\n",
            "README.txt                       304600\n",
            "raw_script_urls.txt              304096\n",
            "movie_lines.txt                       0\n",
            "movie_conversations.txt          221616\n",
            "movie_titles_metadata.txt        304096\n",
            "dtype: int64\n",
            "\n",
            "4. Descriptive Statistics:\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "                                count  unique  \\\n",
              "movie_characters_metadata.txt    9035    9035   \n",
              "README.txt                        113      85   \n",
              "raw_script_urls.txt               617     617   \n",
              "movie_lines.txt                304713  304713   \n",
              "movie_conversations.txt         83097   83097   \n",
              "movie_titles_metadata.txt         617     617   \n",
              "\n",
              "                                                                             top  \\\n",
              "movie_characters_metadata.txt  u0 +++$+++ BIANCA +++$+++ m0 +++$+++ 10 things...   \n",
              "README.txt                                                                    \\n   \n",
              "raw_script_urls.txt            m0 +++$+++ 10 things i hate about you +++$+++ ...   \n",
              "movie_lines.txt                L1045 +++$+++ u0 +++$+++ m0 +++$+++ BIANCA +++...   \n",
              "movie_conversations.txt        u0 +++$+++ u2 +++$+++ m0 +++$+++ ['L194', 'L19...   \n",
              "movie_titles_metadata.txt      m0 +++$+++ 10 things i hate about you +++$+++ ...   \n",
              "\n",
              "                              freq  \n",
              "movie_characters_metadata.txt    1  \n",
              "README.txt                      25  \n",
              "raw_script_urls.txt              1  \n",
              "movie_lines.txt                  1  \n",
              "movie_conversations.txt          1  \n",
              "movie_titles_metadata.txt        1  "
            ],
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              "summary": "{\n  \"name\": \"display(df\",\n  \"rows\": 6,\n  \"fields\": [\n    {\n      \"column\": \"count\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"113\",\n        \"max\": \"304713\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"113\",\n          \"83097\",\n          \"617\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"unique\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": 85,\n        \"max\": 304713,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          85,\n          83097,\n          617\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"top\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 6,\n        \"samples\": [\n          \"u0 +++$+++ BIANCA +++$+++ m0 +++$+++ 10 things i hate about you +++$+++ f +++$+++ 4\\n\",\n          \"\\n\",\n          \"m0 +++$+++ 10 things i hate about you +++$+++ 1999 +++$+++ 6.90 +++$+++ 62847 +++$+++ ['comedy', 'romance']\\n\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"freq\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"1\",\n        \"max\": \"25\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"25\",\n          \"1\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "5. Sample Data (first 5 rows):\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "                       movie_characters_metadata.txt  \\\n",
              "0  u0 +++$+++ BIANCA +++$+++ m0 +++$+++ 10 things...   \n",
              "1  u1 +++$+++ BRUCE +++$+++ m0 +++$+++ 10 things ...   \n",
              "2  u2 +++$+++ CAMERON +++$+++ m0 +++$+++ 10 thing...   \n",
              "3  u3 +++$+++ CHASTITY +++$+++ m0 +++$+++ 10 thin...   \n",
              "4  u4 +++$+++ JOEY +++$+++ m0 +++$+++ 10 things i...   \n",
              "\n",
              "                                          README.txt  \\\n",
              "0                     Cornell Movie-Dialogs Corpus\\n   \n",
              "1                                                 \\n   \n",
              "2                       Distributed together with:\\n   \n",
              "3                                                 \\n   \n",
              "4  \"Chameleons in imagined conversations: A new a...   \n",
              "\n",
              "                                 raw_script_urls.txt  \\\n",
              "0  m0 +++$+++ 10 things i hate about you +++$+++ ...   \n",
              "1  m1 +++$+++ 1492: conquest of paradise +++$+++ ...   \n",
              "2  m2 +++$+++ 15 minutes +++$+++ http://www.daily...   \n",
              "3  m3 +++$+++ 2001: a space odyssey +++$+++ http:...   \n",
              "4  m4 +++$+++ 48 hrs. +++$+++ http://www.awesomef...   \n",
              "\n",
              "                                     movie_lines.txt  \\\n",
              "0  L1045 +++$+++ u0 +++$+++ m0 +++$+++ BIANCA +++...   \n",
              "1  L1044 +++$+++ u2 +++$+++ m0 +++$+++ CAMERON ++...   \n",
              "2  L985 +++$+++ u0 +++$+++ m0 +++$+++ BIANCA +++$...   \n",
              "3  L984 +++$+++ u2 +++$+++ m0 +++$+++ CAMERON +++...   \n",
              "4  L925 +++$+++ u0 +++$+++ m0 +++$+++ BIANCA +++$...   \n",
              "\n",
              "                             movie_conversations.txt  \\\n",
              "0  u0 +++$+++ u2 +++$+++ m0 +++$+++ ['L194', 'L19...   \n",
              "1  u0 +++$+++ u2 +++$+++ m0 +++$+++ ['L198', 'L19...   \n",
              "2  u0 +++$+++ u2 +++$+++ m0 +++$+++ ['L200', 'L20...   \n",
              "3  u0 +++$+++ u2 +++$+++ m0 +++$+++ ['L204', 'L20...   \n",
              "4  u0 +++$+++ u2 +++$+++ m0 +++$+++ ['L207', 'L20...   \n",
              "\n",
              "                           movie_titles_metadata.txt  \n",
              "0  m0 +++$+++ 10 things i hate about you +++$+++ ...  \n",
              "1  m1 +++$+++ 1492: conquest of paradise +++$+++ ...  \n",
              "2  m2 +++$+++ 15 minutes +++$+++ 2001 +++$+++ 6.1...  \n",
              "3  m3 +++$+++ 2001: a space odyssey +++$+++ 1968 ...  \n",
              "4  m4 +++$+++ 48 hrs. +++$+++ 1982 +++$+++ 6.90 +...  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-49820cd5-b4e9-45d1-b435-52dfd470f7a3\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>movie_characters_metadata.txt</th>\n",
              "      <th>README.txt</th>\n",
              "      <th>raw_script_urls.txt</th>\n",
              "      <th>movie_lines.txt</th>\n",
              "      <th>movie_conversations.txt</th>\n",
              "      <th>movie_titles_metadata.txt</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>u0 +++$+++ BIANCA +++$+++ m0 +++$+++ 10 things...</td>\n",
              "      <td>Cornell Movie-Dialogs Corpus\\n</td>\n",
              "      <td>m0 +++$+++ 10 things i hate about you +++$+++ ...</td>\n",
              "      <td>L1045 +++$+++ u0 +++$+++ m0 +++$+++ BIANCA +++...</td>\n",
              "      <td>u0 +++$+++ u2 +++$+++ m0 +++$+++ ['L194', 'L19...</td>\n",
              "      <td>m0 +++$+++ 10 things i hate about you +++$+++ ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>u1 +++$+++ BRUCE +++$+++ m0 +++$+++ 10 things ...</td>\n",
              "      <td>\\n</td>\n",
              "      <td>m1 +++$+++ 1492: conquest of paradise +++$+++ ...</td>\n",
              "      <td>L1044 +++$+++ u2 +++$+++ m0 +++$+++ CAMERON ++...</td>\n",
              "      <td>u0 +++$+++ u2 +++$+++ m0 +++$+++ ['L198', 'L19...</td>\n",
              "      <td>m1 +++$+++ 1492: conquest of paradise +++$+++ ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>u2 +++$+++ CAMERON +++$+++ m0 +++$+++ 10 thing...</td>\n",
              "      <td>Distributed together with:\\n</td>\n",
              "      <td>m2 +++$+++ 15 minutes +++$+++ http://www.daily...</td>\n",
              "      <td>L985 +++$+++ u0 +++$+++ m0 +++$+++ BIANCA +++$...</td>\n",
              "      <td>u0 +++$+++ u2 +++$+++ m0 +++$+++ ['L200', 'L20...</td>\n",
              "      <td>m2 +++$+++ 15 minutes +++$+++ 2001 +++$+++ 6.1...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>u3 +++$+++ CHASTITY +++$+++ m0 +++$+++ 10 thin...</td>\n",
              "      <td>\\n</td>\n",
              "      <td>m3 +++$+++ 2001: a space odyssey +++$+++ http:...</td>\n",
              "      <td>L984 +++$+++ u2 +++$+++ m0 +++$+++ CAMERON +++...</td>\n",
              "      <td>u0 +++$+++ u2 +++$+++ m0 +++$+++ ['L204', 'L20...</td>\n",
              "      <td>m3 +++$+++ 2001: a space odyssey +++$+++ 1968 ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>u4 +++$+++ JOEY +++$+++ m0 +++$+++ 10 things i...</td>\n",
              "      <td>\"Chameleons in imagined conversations: A new a...</td>\n",
              "      <td>m4 +++$+++ 48 hrs. +++$+++ http://www.awesomef...</td>\n",
              "      <td>L925 +++$+++ u0 +++$+++ m0 +++$+++ BIANCA +++$...</td>\n",
              "      <td>u0 +++$+++ u2 +++$+++ m0 +++$+++ ['L207', 'L20...</td>\n",
              "      <td>m4 +++$+++ 48 hrs. +++$+++ 1982 +++$+++ 6.90 +...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-49820cd5-b4e9-45d1-b435-52dfd470f7a3')\"\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 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\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",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\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-49820cd5-b4e9-45d1-b435-52dfd470f7a3 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-49820cd5-b4e9-45d1-b435-52dfd470f7a3');\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",
              "\n",
              "\n",
              "<div id=\"df-d9be9f30-0fc5-41a7-9ea4-c6f362c13adc\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-d9be9f30-0fc5-41a7-9ea4-c6f362c13adc')\"\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",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-d9be9f30-0fc5-41a7-9ea4-c6f362c13adc button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"display(df\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"movie_characters_metadata.txt\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"u1 +++$+++ BRUCE +++$+++ m0 +++$+++ 10 things i hate about you +++$+++ ? +++$+++ ?\\n\",\n          \"u4 +++$+++ JOEY +++$+++ m0 +++$+++ 10 things i hate about you +++$+++ m +++$+++ 6\\n\",\n          \"u2 +++$+++ CAMERON +++$+++ m0 +++$+++ 10 things i hate about you +++$+++ m +++$+++ 3\\n\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"README.txt\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"\\n\",\n          \"\\\"Chameleons in imagined conversations: A new approach to understanding coordination of linguistic style in dialogs\\\"\\n\",\n          \"Cornell Movie-Dialogs Corpus\\n\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"raw_script_urls.txt\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"m1 +++$+++ 1492: conquest of paradise +++$+++ http://www.hundland.org/scripts/1492-ConquestOfParadise.txt\\n\",\n          \"m4 +++$+++ 48 hrs. +++$+++ http://www.awesomefilm.com/script/48hours.txt\\n\",\n          \"m2 +++$+++ 15 minutes +++$+++ http://www.dailyscript.com/scripts/15minutes.html\\n\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"movie_lines.txt\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"L1044 +++$+++ u2 +++$+++ m0 +++$+++ CAMERON +++$+++ They do to!\\n\",\n          \"L925 +++$+++ u0 +++$+++ m0 +++$+++ BIANCA +++$+++ Let's go.\\n\",\n          \"L985 +++$+++ u0 +++$+++ m0 +++$+++ BIANCA +++$+++ I hope so.\\n\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"movie_conversations.txt\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"u0 +++$+++ u2 +++$+++ m0 +++$+++ ['L198', 'L199']\\n\",\n          \"u0 +++$+++ u2 +++$+++ m0 +++$+++ ['L207', 'L208']\\n\",\n          \"u0 +++$+++ u2 +++$+++ m0 +++$+++ ['L200', 'L201', 'L202', 'L203']\\n\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"movie_titles_metadata.txt\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"m1 +++$+++ 1492: conquest of paradise +++$+++ 1992 +++$+++ 6.20 +++$+++ 10421 +++$+++ ['adventure', 'biography', 'drama', 'history']\\n\",\n          \"m4 +++$+++ 48 hrs. +++$+++ 1982 +++$+++ 6.90 +++$+++ 22289 +++$+++ ['action', 'comedy', 'crime', 'drama', 'thriller']\\n\",\n          \"m2 +++$+++ 15 minutes +++$+++ 2001 +++$+++ 6.10 +++$+++ 25854 +++$+++ ['action', 'crime', 'drama', 'thriller']\\n\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {}
        }
      ],
      "source": [
        "print(\"1. Basic Information:\")\n",
        "print(f\"Number of rows: {df.shape[0]}\")\n",
        "print(f\"Number of columns: {df.shape[1]}\")\n",
        "print(\"\\n2. Data Types:\")\n",
        "print(df.dtypes)\n",
        "print(\"\\n3. Missing Values:\")\n",
        "print(df.isnull().sum())\n",
        "print(\"\\n4. Descriptive Statistics:\")\n",
        "display(df.describe().T)\n",
        "print(\"\\n5. Sample Data (first 5 rows):\")\n",
        "display(df.head())"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "4ed2889a-b65a-49b5-b41c-87ca6182bebb",
      "metadata": {
        "id": "4ed2889a-b65a-49b5-b41c-87ca6182bebb"
      },
      "source": [
        "## Data Clean and Exploratory Data Analysis"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 93,
      "id": "738b39c9-b079-4d30-a880-ac8dc9835502",
      "metadata": {
        "id": "738b39c9-b079-4d30-a880-ac8dc9835502"
      },
      "outputs": [],
      "source": [
        "import re\n",
        "import matplotlib.pyplot as plt\n",
        "from collections import Counter"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 94,
      "id": "b6ee5b80-1a53-4d32-9f83-0b2362c3f8f0",
      "metadata": {
        "id": "b6ee5b80-1a53-4d32-9f83-0b2362c3f8f0"
      },
      "outputs": [],
      "source": [
        "# Focusing on Loading movie_lines.txt and movie_conversations.txt where we will parse the files\n",
        "# lines_file = 'C:/Users/Saad/Desktop/Saad Learnings/Python/School Python/Natural Language Processing/Project/CornellMovie/movie_lines.txt'  #Saad data path file\n",
        "# conversations_file = 'C:/Users/Saad/Desktop/Saad Learnings/Python/School Python/Natural Language Processing/Project/CornellMovie/movie_conversations.txt' #Saad data path file"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Thai used this code block in place of the one above\n",
        "# Define the file paths for lines and conversations\n",
        "lines_file = './movie_lines.txt'  # Adjust based on your file location\n",
        "conversations_file = './movie_conversations.txt'  # Adjust based on your file location"
      ],
      "metadata": {
        "id": "t_juPg5FNpUc"
      },
      "id": "t_juPg5FNpUc",
      "execution_count": 95,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": 96,
      "id": "8127e366-a378-44b6-9355-eab276b9f2d0",
      "metadata": {
        "id": "8127e366-a378-44b6-9355-eab276b9f2d0"
      },
      "outputs": [],
      "source": [
        "# Define the function to parse movie_lines.txt\n",
        "def parse_lines(lines_file):\n",
        "    data = []\n",
        "    with open(lines_file, 'r', encoding='utf-8', errors='replace') as f:\n",
        "        for line in f:\n",
        "            parts = line.split(\" +++$+++ \")\n",
        "            if len(parts) == 5:\n",
        "                line_id = parts[0]\n",
        "                character_name = parts[3]  # Extract CharacterName\n",
        "                movie_id = parts[2]  # Extract MovieID\n",
        "                text = parts[4].strip()  # Extract the actual line of dialogue\n",
        "                data.append([line_id, character_name, movie_id, text])\n",
        "\n",
        "    # Convert to DataFrame\n",
        "    return pd.DataFrame(data, columns=['LineID', 'CharacterName', 'MovieID', 'Text'])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 97,
      "id": "471e24aa-0b1a-4b13-9d09-c3a4a4417f1d",
      "metadata": {
        "id": "471e24aa-0b1a-4b13-9d09-c3a4a4417f1d"
      },
      "outputs": [],
      "source": [
        "def parse_conversations(conversations_file):\n",
        "    conversations = []\n",
        "    with open(conversations_file, 'r', encoding='utf-8', errors='replace') as f:\n",
        "        for line in f:\n",
        "            parts = line.split(\" +++$+++ \")\n",
        "            if len(parts) == 4:  # Ensure that the conversation line has 4 parts\n",
        "                line_ids = eval(parts[3])  # The list of line IDs (e.g., ['L194', 'L195', 'L196', 'L197'])\n",
        "                conversations.append(line_ids)\n",
        "    return conversations"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 98,
      "id": "f77018c4-d584-4650-a6c8-75feb0199b40",
      "metadata": {
        "id": "f77018c4-d584-4650-a6c8-75feb0199b40"
      },
      "outputs": [],
      "source": [
        "def create_dialog_pairs(conversations, lines):\n",
        "    dialog_pairs = []\n",
        "    for conver in conversations:\n",
        "        for i in range(len(conver) - 1):  # Loop through each conversation and form pairs\n",
        "            input_line = lines.get(conver[i], \"\")  # Current line\n",
        "            target_line = lines.get(conver[i + 1], \"\")  # Next line\n",
        "            if input_line and target_line:  # Ensure both input and target lines exist\n",
        "                dialog_pairs.append((input_line, target_line))  # Append the input-response pair\n",
        "    return dialog_pairs"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Thai added code block for movie lines\n",
        "lines_file = './movie_lines.txt'\n",
        "lines_df = parse_lines(lines_file)\n",
        "lines_df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "9Vmmk36VZs_L",
        "outputId": "ee6ea742-d2ce-49cb-fc2f-877aeeb96731"
      },
      "id": "9Vmmk36VZs_L",
      "execution_count": 99,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  LineID CharacterName MovieID          Text\n",
              "0  L1045        BIANCA      m0  They do not!\n",
              "1  L1044       CAMERON      m0   They do to!\n",
              "2   L985        BIANCA      m0    I hope so.\n",
              "3   L984       CAMERON      m0     She okay?\n",
              "4   L925        BIANCA      m0     Let's go."
            ],
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              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
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              "\n",
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              "\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "lines_df"
            }
          },
          "metadata": {},
          "execution_count": 99
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 100,
      "id": "9516311d-79e1-489e-92aa-e3d6a0159c18",
      "metadata": {
        "id": "9516311d-79e1-489e-92aa-e3d6a0159c18"
      },
      "outputs": [],
      "source": [
        "cleaned_dialog_df = pd.DataFrame(dialog_pairs, columns=['input', 'response']) # Dialog pairs into DataFrame for easier manipulation"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 101,
      "id": "d4b9bd50-c0b6-4945-b06f-bdd622456805",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "d4b9bd50-c0b6-4945-b06f-bdd622456805",
        "outputId": "1b3b0a1a-4240-4b69-d8da-69606ea7a03a"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                                               input  \\\n",
            "0  Can we make this quick?  Roxanne Korrine and A...   \n",
            "1  Well, I thought we'd start with pronunciation,...   \n",
            "2  Not the hacking and gagging and spitting part....   \n",
            "3  You're asking me out.  That's so cute. What's ...   \n",
            "4  No, no, it's my fault -- we didn't have a prop...   \n",
            "\n",
            "                                            response  \n",
            "0  Well, I thought we'd start with pronunciation,...  \n",
            "1  Not the hacking and gagging and spitting part....  \n",
            "2  Okay... then how 'bout we try out some French ...  \n",
            "3                                         Forget it.  \n",
            "4                                           Cameron.  \n"
          ]
        }
      ],
      "source": [
        "print(cleaned_dialog_df.head())# Display some response on a small sample of the cleaned dialog pairs"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 102,
      "id": "70a6a24d-7028-4644-a2ce-aa3371854c68",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 410
        },
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        "outputId": "f5a4d0c6-fb94-4323-c606-5b8d81951521"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x400 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "# Displaying Line length distribution\n",
        "cleaned_dialog_df['input_length'] = cleaned_dialog_df['input'].apply(lambda x: len(x.split()))\n",
        "cleaned_dialog_df['response_length'] = cleaned_dialog_df['response'].apply(lambda x: len(x.split()))\n",
        "\n",
        "plt.figure(figsize=(8, 4)) # Shorten it to 6, 4 to ensure it fits to pdf print\n",
        "plt.hist(cleaned_dialog_df['input_length'], bins=30, alpha=0.7, label='Input Line Length')\n",
        "plt.hist(cleaned_dialog_df['response_length'], bins=30, alpha=0.7, label='Response Line Length')\n",
        "plt.title('Distribution of Line Lengths (Input vs. Response)')\n",
        "plt.xlabel('Line Length (Number of Words)')\n",
        "plt.xlim(0,150)\n",
        "plt.ylabel('Frequency')\n",
        "plt.legend()\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 103,
      "id": "1bece27e-bda1-4f48-be2b-21361c2e0ffd",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 412
        },
        "id": "1bece27e-bda1-4f48-be2b-21361c2e0ffd",
        "outputId": "4e93be51-c2cd-46c2-b9bf-b3892cab3619"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x400 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "# For visialization of the most common words used\n",
        "all_words = ' '.join(cleaned_dialog_df['input'].tolist() + cleaned_dialog_df['response'].tolist()).split()\n",
        "word_counts = Counter(all_words) # Most common words in the cleaned dialog pairs\n",
        "\n",
        "# Top 20 most common words\n",
        "common_words = word_counts.most_common(20)\n",
        "words, counts = zip(*common_words)\n",
        "\n",
        "plt.figure(figsize=(8, 4))\n",
        "plt.bar(words, counts)\n",
        "plt.title('Top 20 Most Common Words')\n",
        "plt.ylabel('Frequency')\n",
        "plt.xticks(rotation=45)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Text Preprocessing\n",
        "Steps Include: <br>\n",
        "* Lowercasing\n",
        "* Removing Punctuation and Special Characters\n",
        "* Tokenization\n",
        "* Stopwords\n",
        "* Lemmatization"
      ],
      "metadata": {
        "id": "CzTLC0HVOHEZ"
      },
      "id": "CzTLC0HVOHEZ"
    },
    {
      "cell_type": "code",
      "execution_count": 104,
      "id": "a6f72127-6f85-4ea9-8721-2a0098488fba",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "a6f72127-6f85-4ea9-8721-2a0098488fba",
        "outputId": "6b6a7183-911d-4596-c184-722feea4c86d"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "[nltk_data] Downloading package punkt to /root/nltk_data...\n",
            "[nltk_data]   Package punkt is already up-to-date!\n",
            "[nltk_data] Downloading package stopwords to /root/nltk_data...\n",
            "[nltk_data]   Package stopwords is already up-to-date!\n",
            "[nltk_data] Downloading package wordnet to /root/nltk_data...\n",
            "[nltk_data]   Package wordnet is already up-to-date!\n"
          ]
        }
      ],
      "source": [
        "import re\n",
        "import nltk\n",
        "from nltk.corpus import stopwords\n",
        "from nltk.tokenize import word_tokenize\n",
        "from nltk.stem import WordNetLemmatizer\n",
        "\n",
        "# Download required resources from nltk\n",
        "nltk.download('punkt')\n",
        "nltk.download('stopwords')\n",
        "nltk.download('wordnet')\n",
        "\n",
        "# Initialize stopwords and lemmatizer\n",
        "stop_words = set(stopwords.words('english'))\n",
        "lemmatizer = WordNetLemmatizer()\n",
        "\n",
        "# Preprocessing function\n",
        "def preprocess_text(text):\n",
        "    # 1. Lowercasing\n",
        "    text = text.lower()\n",
        "\n",
        "    # 2. Removing Punctuation and Special Characters\n",
        "    text = re.sub(r'[^\\w\\s]', '', text)  # Removes punctuation\n",
        "\n",
        "    # 3. Tokenization\n",
        "    tokens = word_tokenize(text)\n",
        "\n",
        "    # 4. Removing Stopwords\n",
        "    tokens = [word for word in tokens if word not in stop_words]\n",
        "\n",
        "    # 5. Lemmatization (Optional but recommended)\n",
        "    tokens = [lemmatizer.lemmatize(word) for word in tokens]\n",
        "\n",
        "    # Join tokens back into a single string\n",
        "    return ' '.join(tokens)\n",
        "\n",
        "# Applying the preprocessing to both 'input' and 'response' columns\n",
        "cleaned_dialog_df['cleaned_input'] = cleaned_dialog_df['input'].apply(preprocess_text)\n",
        "cleaned_dialog_df['cleaned_response'] = cleaned_dialog_df['response'].apply(preprocess_text)"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Display the first few rows to check the preprocessing\n",
        "print(cleaned_dialog_df[['cleaned_input', 'cleaned_response']].head())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "gplZf90QaBnf",
        "outputId": "4a8c03b0-8d7d-43cb-def6-dde86133ce0f"
      },
      "id": "gplZf90QaBnf",
      "execution_count": 105,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                                       cleaned_input  \\\n",
            "0  make quick roxanne korrine andrew barrett incr...   \n",
            "1    well thought wed start pronunciation thats okay   \n",
            "2               hacking gagging spitting part please   \n",
            "3                 youre asking thats cute whats name   \n",
            "4                    fault didnt proper introduction   \n",
            "\n",
            "                                  cleaned_response  \n",
            "0  well thought wed start pronunciation thats okay  \n",
            "1             hacking gagging spitting part please  \n",
            "2      okay bout try french cuisine saturday night  \n",
            "3                                           forget  \n",
            "4                                          cameron  \n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Additional Preprocessing Step - Handling Rare Words\n",
        "Words that are not used often and are insignficant to the training"
      ],
      "metadata": {
        "id": "dqDFX9TaOzEH"
      },
      "id": "dqDFX9TaOzEH"
    },
    {
      "cell_type": "code",
      "source": [
        "from collections import Counter\n",
        "\n",
        "# Step 1: Combine all text (input and response) into a single list of words\n",
        "all_words = ' '.join(cleaned_dialog_df['input'].tolist() + cleaned_dialog_df['response'].tolist()).split()\n",
        "\n",
        "# Step 2: Count the frequency of each word\n",
        "word_counts = Counter(all_words)\n",
        "\n",
        "# Step 3: Set a threshold (e.g., words that appear fewer than 5 times are considered rare)\n",
        "threshold = 5\n",
        "rare_words = {word for word, count in word_counts.items() if count < threshold}\n",
        "\n",
        "# Step 4: Define a function to replace rare words with '<UNK>'\n",
        "def replace_rare_words(text, rare_words_set):\n",
        "    return ' '.join([word if word not in rare_words_set else '<UNK>' for word in text.split()])\n",
        "\n",
        "# Step 5: Apply the function to both the input and response columns\n",
        "cleaned_dialog_df['input'] = cleaned_dialog_df['input'].apply(lambda x: replace_rare_words(x, rare_words))\n",
        "cleaned_dialog_df['response'] = cleaned_dialog_df['response'].apply(lambda x: replace_rare_words(x, rare_words))\n",
        "\n",
        "# Step 6: Check a few examples\n",
        "print(cleaned_dialog_df[['input', 'response']].head())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "dZnh0xAfOzlo",
        "outputId": "381ef6cb-7ef1-40ad-dad8-74b5ee1f2ea2"
      },
      "id": "dZnh0xAfOzlo",
      "execution_count": 106,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                                               input  \\\n",
            "0  Can we make this quick? <UNK> <UNK> and Andrew...   \n",
            "1  Well, I thought we'd start with <UNK> if that'...   \n",
            "2  Not the hacking and gagging and spitting part....   \n",
            "3  You're asking me out. That's so cute. What's y...   \n",
            "4  No, no, it's my fault -- we didn't have a prop...   \n",
            "\n",
            "                                            response  \n",
            "0  Well, I thought we'd start with <UNK> if that'...  \n",
            "1  Not the hacking and gagging and spitting part....  \n",
            "2  Okay... then how 'bout we try out some French ...  \n",
            "3                                         Forget it.  \n",
            "4                                           Cameron.  \n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Data Exploration and Visualization after Preprocessing"
      ],
      "metadata": {
        "id": "K98StiwGPWPD"
      },
      "id": "K98StiwGPWPD"
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "from collections import Counter\n",
        "from wordcloud import WordCloud\n",
        "import warnings\n",
        "\n",
        "# Suppress all warnings\n",
        "warnings.filterwarnings('ignore')\n",
        "\n",
        "# 1. Distribution of Input and Response Lengths\n",
        "\n",
        "# Calculate the length of each cleaned input and response in terms of number of words\n",
        "cleaned_dialog_df['input_length'] = cleaned_dialog_df['cleaned_input'].apply(lambda x: len(x.split()))\n",
        "cleaned_dialog_df['response_length'] = cleaned_dialog_df['cleaned_response'].apply(lambda x: len(x.split()))\n",
        "\n",
        "# Plot histograms for input and response lengths\n",
        "plt.figure(figsize=(8, 4))\n",
        "plt.hist(cleaned_dialog_df['input_length'], bins=30, alpha=0.7, label='Input Line Length')\n",
        "plt.hist(cleaned_dialog_df['response_length'], bins=30, alpha=0.7, label='Response Line Length')\n",
        "plt.title('Distribution of Line Lengths (Input vs. Response)')\n",
        "plt.xlabel('Line Length (Number of Words)')\n",
        "plt.xlim(0, 50)\n",
        "plt.ylabel('Frequency')\n",
        "plt.legend()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 410
        },
        "id": "G8JIg4IMPbsB",
        "outputId": "15a56c71-62a9-4d36-aaf7-e661292832d2"
      },
      "id": "G8JIg4IMPbsB",
      "execution_count": 107,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x400 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 2. Most Common Words in Cleaned Input and Responses\n",
        "\n",
        "# Combine all words from both input and response\n",
        "all_words = ' '.join(cleaned_dialog_df['cleaned_input'].tolist() + cleaned_dialog_df['cleaned_response'].tolist()).split()\n",
        "\n",
        "# Count the frequency of each word\n",
        "word_counts = Counter(all_words)\n",
        "\n",
        "# Get the 20 most common words\n",
        "common_words = word_counts.most_common(20)\n",
        "words, counts = zip(*common_words)\n",
        "\n",
        "# Create a bar plot for the 20 most common words\n",
        "plt.figure(figsize=(8, 4))\n",
        "sns.barplot(x=list(words), y=list(counts), palette='viridis')\n",
        "plt.title('Top 20 Most Common Words After Preprocessing')\n",
        "plt.ylabel('Frequency')\n",
        "plt.xticks(rotation=45)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 414
        },
        "id": "mrRckkRcQS1_",
        "outputId": "1715ced1-0dbd-45f7-e181-b2836b804dc7"
      },
      "id": "mrRckkRcQS1_",
      "execution_count": 108,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x400 with 1 Axes>"
            ],
            "image/png": 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3kJycrLG8YcOGGr2F6h71tm3barRZvfzmzZsAgNOnT+Phw4f46quvlNcOAPz9/eHs7JwhnQEA+vfvr/G4Tp06yvbeRX0sjh49CiAt1cLDwwOGhobw9vZWUizU64yNjZUev489ngEBARq9klFRUYiMjERAQAAsLCyU5Y0aNYKLi4vGcwsXLoz4+HglNedjnD9/HhcuXECnTp2UZZ06dcKjR48QFhb20dtTW79+PSpUqABnZ2c8evRI+VNffTl48KBG+Xr16mXYr3e5cuUKSpQogRIlSqBChQqYM2cO/P39M6RMaG9XRLBx40a0aNECIqLRNj8/Pzx//jzDjDfdu3fXeE9+8cUXKFmyJHbu3KlRzsjISGOwMJD2PrC2ttY4vgYGBhg4cCBevnyJw4cPAwA2btwIlUqFsWPHZthXdfrOpk2bkJqaivbt22u029raGmXLllWOqfr9EhYWhlevXmV6/NS97Vu3bs3SjCDv+0zt3r0bBgYG6Nu3r7JMT09PuXJEnzYGyUTvcOfOHdjY2GQI0NSzXdy5c0djeWYzS5QrVw6vXr1S8gvfJyUlBR07dsRff/2FDRs2wMbGRmN9wYIFM807Vs9GkT5AeR91bt+uXbuwcuVKNG/ePNNgNDY2Fq9evUL58uUzrKtQoQJSU1OVXMIJEybg2bNnKFeuHNzc3DBkyBCcP3/+g9ukzdzcHAA08rLf5c6dO29tp3p9eqVKldJ4rP5htrOzy7A8NTVVIxfyY58PAE+fPtVoR2ZtdXZ2ztBOdW5nekWKFFG29y61atWCSqVSLkH/8ccfqFWrFoC0IMPFxUVjXfXq1WFoaKi082OOp6Ojo8Zj9frMPhva2/3qq69Qrlw5NG3aFLa2tujVq9cH5/SuWLECpqamKF26NK5fv47r16/D2NgYDg4OWLly5QdtIzPXrl3DpUuXlEBW/VeuXDkAaXm66Wnv//s4ODhg79692LdvH44dO4bo6Ghs3749wxgF7e3Gxsbi2bNnWLBgQYa2qQNc7bZpvwYqlQplypTJkCv/2WefKa+/2p07d1C2bNkMaV7a74MbN27AxsYGRYsWfes+X7t2DSKCsmXLZmj75cuXlXY7OjoiODgYixYtQvHixeHn54d58+ZpfAY7dOiAWrVqoU+fPrCyskLHjh2xbt26DwqYP+QzdefOHZQsWVIj5Q0AypQp897t078fc5KJ8pm+ffti+/btWLlypdJblV7JkiURFRWVYbl6mXZQ/S4lS5aEj48Ppk2bhj/++AMbN27MesP/T926dXHjxg1s3boVe/bswaJFizBjxgyEhISgT58+H709Z2dnAGm5sq1atcp2+7S9Lc/5bctFa8Bmdp//oT4kH/ttihUrBmdnZxw7dgwvX77E+fPnNXr6atasiWPHjuH+/fu4e/cuunTpkuW6PuYkTZulpSUiIyMRFhaGXbt2YdeuXVi6dCm6d++e6QAxNRHB6tWrER8fn2kv7sOHD/Hy5Uslz/hjpKamws3NDdOnT890vfbJ0Mfuv6mpKXx9fd9bTnu76iCwa9eub82PrVSp0ke15W116VpqaipUKhV27dqV6fs6/es0bdo09OjRQ/k+GThwICZNmoQTJ07A1tYWBQsWxJEjR3Dw4EHs2LEDu3fvxtq1a9GgQQPs2bPnnZ+b7Hym6L+BQTLRO9jb22Pfvn148eKFRg/rlStXlPXpZZZi8Pfff8PExCRDj0VmhgwZgqVLl2LmzJkalzXTc3d3x9GjR5GamqrRq3Py5EmYmJgoPVwfqnPnzujTpw8KFy6MZs2aZVqmRIkSMDExwdWrVzOsu3LlCvT09DSChaJFi6Jnz57o2bMnXr58ibp162LcuHFKkPyu2Sy01a5dG0WKFMHq1asxcuTI9/6w2dvbv7Wd6vX5gbodV69ezXAydPXqVZ23s3bt2liyZAn27NmDlJQUjTmla9asidWrVys3zUmfWpHd46len9lnI7PtGhoaokWLFmjRogVSU1Px1Vdf4ddff8X333//1t67w4cP4/79+5gwYUKGOc2fPn2Kfv36YcuWLejatetb2/m296STkxPOnTuHhg0bftT7NqeVKFEChQoVQkpKygcF2UDG10BEcP369Q8Kpu3t7XH+/PkM3zva7wMnJyeEhYXhyZMnb+1NdnJygojA0dHxg76v3Nzc4ObmhtGjR+P48eOoVasWQkJClDmw9fT00LBhQzRs2BDTp0/H//73P4waNQoHDx784GPzrv0+ePAgXr16pdGbfP369Wxtl/4dmG5B9A7NmjVDSkoK5s6dq7F8xowZUKlUaNq0qcby8PBwjTzAe/fuYevWrWjcuPF7g7spU6Zg6tSpGDly5DtH8n/xxReIiYnBpk2blGWPHj3C+vXr0aJFi0zzld/liy++wNixYzF//vwMl1jV9PX10bhxY2zdulXj0mxMTAxWrVqF2rVrK2kRjx8/1niumZkZypQpo5EiYmpqCiDt7mjvY2JigmHDhuHy5csYNmxYpj2xK1aswKlTpwCkvWanTp1CeHi4sj4+Ph4LFiyAg4PDR+WL5qRq1arB0tISISEhGsdm165duHz5Mvz9/XVaX+3atZGSkoKpU6cql7nVatasiZcvX2L+/PnQ09PTCKCzezxLliwJd3d3LFu2LMO0Xdr5zNrvHT09PSWAe9fUhupUiyFDhuCLL77Q+Ovbty/Kli373pQL9QwX2tq3b49//vkHCxcuzLAuISEB8fHx79xuTtHX10fbtm2xceNGXLx4McP6zNK7li9fnmE6yaioqAzfY5lp1qwZoqOjsXbtWmVZcnIy5syZAzMzM9SrVw9AWi6+iGD8+PEZtqH+7LZp0wb6+voYP358hs+ziCjvg7i4uAxjANzc3KCnp6e8H548eZKhHnd3dwDvfs98KD8/P7x580bj9U9NTVWmsaRPG3uSid6hRYsWqF+/PkaNGoXbt2+jcuXK2LNnD7Zu3YpBgwbByclJo7yrqyv8/Pw0poADkOkPRnqbN2/G0KFDUbZsWVSoUAErVqzQWN+oUSNYWVkBSAtqa9SogZ49e+Kvv/5S7riXkpLy3noyY2Fh8UF3vvvhhx+U+Ui/+uorFChQAL/++isSExMxefJkpZyLiwt8fHzg4eGBokWL4vTp09iwYYPG3c3UgxsHDhwIPz8/6Ovro2PHjm+te8iQIbh06RKmTZuGgwcP4osvvoC1tTWio6OxZcsWnDp1SpkPd/jw4Vi9ejWaNm2KgQMHomjRoli2bBlu3bqFjRs3ZsipzCsGBgb4+eef0bNnT9SrVw+dOnVSpoBzcHDA4MGDdVqfunc4PDwcPXr00FhXrlw5FC9eHOHh4XBzc9OYekwXx3PSpEnw9/dH7dq10atXLzx58gRz5sxBxYoV8fLlS6Vcnz598OTJEzRo0AC2tra4c+cO5syZA3d397fe9TIxMREbN25Eo0aNNAZApvf5559j1qxZGXJ00/Pw8MDatWsRHByM6tWrw8zMDC1atEC3bt2wbt069O/fHwcPHkStWrWQkpKCK1euYN26dQgLC1MGOea2n376CQcPHoSXlxf69u0LFxcXPHnyBGfOnMG+ffsyBJBFixZF7dq10bNnT8TExGDmzJkoU6aMxqC0t+nXrx9+/fVX9OjRAxEREXBwcMCGDRvwxx9/YObMmcqVtvr166Nbt26YPXs2rl27hiZNmiA1NRVHjx5F/fr1ERQUBCcnJ/zwww8YMWIEbt++jVatWqFQoUK4desWNm/ejH79+uG7777DgQMHEBQUhHbt2qFcuXJITk7Gb7/9ppwgAGljII4cOQJ/f3/Y29vj4cOHmD9/PmxtbXVyx8hWrVrB09MT3377La5fvw5nZ2ds27ZNObb56eoC5YA8mFGDKN/KbGqyFy9eyODBg8XGxkYMDAykbNmyMmXKlAx3IwMggYGBsmLFCilbtqwYGRlJlSpV5ODBg++td+zYscoUcpn9aW/jyZMn0rt3bylWrJiYmJhIvXr15M8///ygfczsLl/aMpsCTkTkzJkz4ufnJ2ZmZmJiYiL169eX48ePa5T54YcfxNPTUwoXLiwFCxYUZ2dn+fHHHzWmWUtOTpavv/5aSpQoISqV6oOng9uwYYM0btxYihYtKgUKFJCSJUtKhw4d5NChQxrlbty4IV988YUULlxYjI2NxdPTU7Zv3/5B+7h06VIBkOF4ql+j9FNNqV/z9N42xdjb6lu7dq1UqVJFjIyMpGjRotKlSxdlqja1gIAAMTU1zXA81G36UDY2NgJAFixYkGHd559/LgBkwIABGdZl53iqbdy4USpUqCBGRkbi4uIimzZtynDHPfXra2lpKYaGhlKqVCn58ssvJSoq6q37pJ6ia/HixW8tc+jQIWWqs7e9Pi9fvpTOnTtL4cKFM0xNl5SUJD///LNUrFhRjIyMpEiRIuLh4SHjx4+X58+fK+Uyez+8y4d8Ft+33ZiYGAkMDBQ7OzsxMDAQa2tradiwocZrrH5tVq9eLSNGjBBLS0spWLCg+Pv7y507dz64TTExMdKzZ08pXry4GBoaipubW6ZToCUnJ8uUKVPE2dlZDA0NpUSJEtK0aVOJiIjQKLdx40apXbu2mJqaiqmpqTg7O0tgYKBcvXpVRERu3rwpvXr1EicnJzE2NpaiRYtK/fr1Zd++fco29u/fLy1bthQbGxsxNDQUGxsb6dSpk/z9999KmbdNAfehn6nY2Fjp3LmzFCpUSCwsLKRHjx7yxx9/CABZs2ZNpseKPg0qkSyOIiEiDSqVCoGBgRlSM4iI8tKhQ4dQv359rF+/Hl988UVeN+eTsGXLFrRu3RrHjh1TZoqhT0/+uO5IRERElA9pzz2fkpKCOXPmwNzcHFWrVs2jVlFuYE4yERER0Vt8/fXXSEhIgLe3NxITE7Fp0yYcP34c//vf/3J8ujzKWwySiYiIiN6iQYMGmDZtGrZv347Xr1+jTJkymDNnjsZgZPo0MSeZiIiIiEgLc5KJiIiIiLQw3UJHUlNT8eDBAxQqVIjzJhIRERHlQyKCFy9ewMbG5r3zvDNI1pEHDx5o3JaXiIiIiPKne/fuwdbW9p1lGCTriPpuQ/fu3VNuz0tERERE+UdcXBzs7OyUuO1dGCTriDrFwtzcnEEyERERUT72IamxHLhHRERERKSFQTIRERERkRYGyUREREREWhgkExERERFpYZBMRERERKSFQTIRERERkRYGyUREREREWhgkExERERFpYZBMRERERKSFQTIRERERkRYGyUREREREWhgkExERERFpKZDXDfhUNS7VNcfr2HN3RY7XQURERPRfxJ5kIiIiIiItDJKJiIiIiLTkaZD8yy+/oFKlSjA3N4e5uTm8vb2xa9cuZb2Pjw9UKpXGX//+/TW2cffuXfj7+8PExASWlpYYMmQIkpOTNcocOnQIVatWhZGREcqUKYPQ0NAMbZk3bx4cHBxgbGwMLy8vnDp1Kkf2mYiIiIjyvzwNkm1tbfHTTz8hIiICp0+fRoMGDdCyZUtcunRJKdO3b19ERUUpf5MnT1bWpaSkwN/fH0lJSTh+/DiWLVuG0NBQjBkzRilz69Yt+Pv7o379+oiMjMSgQYPQp08fhIWFKWXWrl2L4OBgjB07FmfOnEHlypXh5+eHhw8f5s6BICIiIqJ8RSUikteNSK9o0aKYMmUKevfuDR8fH7i7u2PmzJmZlt21axeaN2+OBw8ewMrKCgAQEhKCYcOGITY2FoaGhhg2bBh27NiBixcvKs/r2LEjnj17ht27dwMAvLy8UL16dcydOxcAkJqaCjs7O3z99dcYPnz4B7U7Li4OFhYWeP78OczNzTlwj4iIiCif0Y7X3iXf5CSnpKRgzZo1iI+Ph7e3t7J85cqVKF68OFxdXTFixAi8evVKWRceHg43NzclQAYAPz8/xMXFKb3R4eHh8PX11ajLz88P4eHhAICkpCRERERolNHT04Ovr69SJjOJiYmIi4vT+CMiIiKiT0OeTwF34cIFeHt74/Xr1zAzM8PmzZvh4uICAOjcuTPs7e1hY2OD8+fPY9iwYbh69So2bdoEAIiOjtYIkAEoj6Ojo99ZJi4uDgkJCXj69ClSUlIyLXPlypW3tnvSpEkYP3589naeiIiIiPKlPA+Sy5cvj8jISDx//hwbNmxAQEAADh8+DBcXF/Tr108p5+bmhpIlS6Jhw4a4ceMGnJyc8rDVwIgRIxAcHKw8jouLg52dXR62iIiIiIh0Jc+DZENDQ5QpUwYA4OHhgT///BOzZs3Cr7/+mqGsl5cXAOD69etwcnKCtbV1hlkoYmJiAADW1tbKv+pl6cuYm5ujYMGC0NfXh76+fqZl1NvIjJGREYyMjD5yb4mIiIjo3yDf5CSrpaamIjExMdN1kZGRAICSJUsCALy9vXHhwgWNWSj27t0Lc3NzJWXD29sb+/fv19jO3r17lbxnQ0NDeHh4aJRJTU3F/v37NXKjiYiIiOi/I097kkeMGIGmTZuiVKlSePHiBVatWoVDhw4hLCwMN27cwKpVq9CsWTMUK1YM58+fx+DBg1G3bl1UqlQJANC4cWO4uLigW7dumDx5MqKjozF69GgEBgYqvbz9+/fH3LlzMXToUPTq1QsHDhzAunXrsGPHDqUdwcHBCAgIQLVq1eDp6YmZM2ciPj4ePXv2zJPjQkRERER5K0+D5IcPH6J79+6IioqChYUFKlWqhLCwMDRq1Aj37t3Dvn37lIDVzs4Obdu2xejRo5Xn6+vrY/v27RgwYAC8vb1hamqKgIAATJgwQSnj6OiIHTt2YPDgwZg1axZsbW2xaNEi+Pn5KWU6dOiA2NhYjBkzBtHR0XB3d8fu3bszDOYjIiIiov+GfDdP8r8V50kmIiIiyt/+lfMkExERERHlFwySiYiIiIi0MEgmIiIiItLCIJmIiIiISAuDZCIiIiIiLQySiYiIiIi0MEgmIiIiItKSpzcToZzRrFJgjtex8/y8HK+DiIiIKK+wJ5mIiIiISAuDZCIiIiIiLQySiYiIiIi0MCeZdKp57aE5Xsf2Y5NzvA4iIiL6b2NPMhERERGRFgbJRERERERaGCQTEREREWlhkExEREREpIVBMhERERGRFgbJRERERERaGCQTEREREWlhkExEREREpIVBMhERERGRFgbJRERERERaGCQTEREREWlhkExEREREpIVBMhERERGRFgbJRERERERaGCQTEREREWlhkExEREREpIVBMhERERGRFgbJRERERERa8jRI/uWXX1CpUiWYm5vD3Nwc3t7e2LVrl7L+9evXCAwMRLFixWBmZoa2bdsiJiZGYxt3796Fv78/TExMYGlpiSFDhiA5OVmjzKFDh1C1alUYGRmhTJkyCA0NzdCWefPmwcHBAcbGxvDy8sKpU6dyZJ+JiIiIKP/L0yDZ1tYWP/30EyIiInD69Gk0aNAALVu2xKVLlwAAgwcPxu+//47169fj8OHDePDgAdq0aaM8PyUlBf7+/khKSsLx48exbNkyhIaGYsyYMUqZW7duwd/fH/Xr10dkZCQGDRqEPn36ICwsTCmzdu1aBAcHY+zYsThz5gwqV64MPz8/PHz4MPcOBhERERHlGyoRkbxuRHpFixbFlClT8MUXX6BEiRJYtWoVvvjiCwDAlStXUKFCBYSHh6NGjRrYtWsXmjdvjgcPHsDKygoAEBISgmHDhiE2NhaGhoYYNmwYduzYgYsXLyp1dOzYEc+ePcPu3bsBAF5eXqhevTrmzp0LAEhNTYWdnR2+/vprDB8+/IPaHRcXBwsLCzx//hzm5uZoXKqrLg9LpvbcXZHp8maVAnO87p3n52W6vHntoTle9/Zjk3O8DiIiIvr0aMdr75JvcpJTUlKwZs0axMfHw9vbGxEREXjz5g18fX2VMs7OzihVqhTCw8MBAOHh4XBzc1MCZADw8/NDXFyc0hsdHh6usQ11GfU2kpKSEBERoVFGT08Pvr6+SpnMJCYmIi4uTuOPiIiIiD4NeR4kX7hwAWZmZjAyMkL//v2xefNmuLi4IDo6GoaGhihcuLBGeSsrK0RHRwMAoqOjNQJk9Xr1uneViYuLQ0JCAh49eoSUlJRMy6i3kZlJkybBwsJC+bOzs8vS/hMRERFR/pPnQXL58uURGRmJkydPYsCAAQgICMBff/2V1816rxEjRuD58+fK37179/K6SURERESkIwXyugGGhoYoU6YMAMDDwwN//vknZs2ahQ4dOiApKQnPnj3T6E2OiYmBtbU1AMDa2jrDLBTq2S/Sl9GeESMmJgbm5uYoWLAg9PX1oa+vn2kZ9TYyY2RkBCMjo6ztNBERERHla3nek6wtNTUViYmJ8PDwgIGBAfbv36+su3r1Ku7evQtvb28AgLe3Ny5cuKAxC8XevXthbm4OFxcXpUz6bajLqLdhaGgIDw8PjTKpqanYv3+/UoaIiIiI/lvytCd5xIgRaNq0KUqVKoUXL15g1apVOHToEMLCwmBhYYHevXsjODgYRYsWhbm5Ob7++mt4e3ujRo0aAIDGjRvDxcUF3bp1w+TJkxEdHY3Ro0cjMDBQ6eXt378/5s6di6FDh6JXr144cOAA1q1bhx07dijtCA4ORkBAAKpVqwZPT0/MnDkT8fHx6NmzZ54cFyIiIiLKW3kaJD98+BDdu3dHVFQULCwsUKlSJYSFhaFRo0YAgBkzZkBPTw9t27ZFYmIi/Pz8MH/+fOX5+vr62L59OwYMGABvb2+YmpoiICAAEyZMUMo4Ojpix44dGDx4MGbNmgVbW1ssWrQIfn5+SpkOHTogNjYWY8aMQXR0NNzd3bF79+4Mg/mIiIiI6L8h382T/G/FeZLTcJ5kIiIiyq/+lfMkExERERHlFwySiYiIiIi0MEgmIiIiItLCIJmIiIiISAuDZCIiIiIiLQySiYiIiIi0MEgmIiIiItLCIJmIiIiISAuDZCIiIiIiLQySiYiIiIi0MEgmIiIiItLCIJmIiIiISAuDZCIiIiIiLQySiYiIiIi0MEgmIiIiItLCIJmIiIiISAuDZCIiIiIiLQySiYiIiIi0MEgmIiIiItLCIJmIiIiISAuDZCIiIiIiLQySiYiIiIi0MEgmIiIiItLCIJmIiIiISAuDZCIiIiIiLQySiYiIiIi0MEgmIiIiItLCIJmIiIiISAuDZCIiIiIiLQySiYiIiIi05GmQPGnSJFSvXh2FChWCpaUlWrVqhatXr2qU8fHxgUql0vjr37+/Rpm7d+/C398fJiYmsLS0xJAhQ5CcnKxR5tChQ6hatSqMjIxQpkwZhIaGZmjPvHnz4ODgAGNjY3h5eeHUqVM632ciIiIiyv/yNEg+fPgwAgMDceLECezduxdv3rxB48aNER8fr1Gub9++iIqKUv4mT56srEtJSYG/vz+SkpJw/PhxLFu2DKGhoRgzZoxS5tatW/D390f9+vURGRmJQYMGoU+fPggLC1PKrF27FsHBwRg7dizOnDmDypUrw8/PDw8fPsz5A0FERERE+UqBvKx89+7dGo9DQ0NhaWmJiIgI1K1bV1luYmICa2vrTLexZ88e/PXXX9i3bx+srKzg7u6OiRMnYtiwYRg3bhwMDQ0REhICR0dHTJs2DQBQoUIFHDt2DDNmzICfnx8AYPr06ejbty969uwJAAgJCcGOHTuwZMkSDB8+PCd2n4iIiIjyqXyVk/z8+XMAQNGiRTWWr1y5EsWLF4erqytGjBiBV69eKevCw8Ph5uYGKysrZZmfnx/i4uJw6dIlpYyvr6/GNv38/BAeHg4ASEpKQkREhEYZPT09+Pr6KmW0JSYmIi4uTuOPiIiIiD4NedqTnF5qaioGDRqEWrVqwdXVVVneuXNn2Nvbw8bGBufPn8ewYcNw9epVbNq0CQAQHR2tESADUB5HR0e/s0xcXBwSEhLw9OlTpKSkZFrmypUrmbZ30qRJGD9+fPZ2moiIiIjypXwTJAcGBuLixYs4duyYxvJ+/fop/3dzc0PJkiXRsGFD3LhxA05OTrndTMWIESMQHBysPI6Li4OdnV2etYeIiIiIdCdfBMlBQUHYvn07jhw5Altb23eW9fLyAgBcv34dTk5OsLa2zjALRUxMDAAoeczW1tbKsvRlzM3NUbBgQejr60NfXz/TMm/LhTYyMoKRkdGH7yQRERER/WvkaU6yiCAoKAibN2/GgQMH4Ojo+N7nREZGAgBKliwJAPD29saFCxc0ZqHYu3cvzM3N4eLiopTZv3+/xnb27t0Lb29vAIChoSE8PDw0yqSmpmL//v1KGSIiIiL678jTnuTAwECsWrUKW7duRaFChZQcYgsLCxQsWBA3btzAqlWr0KxZMxQrVgznz5/H4MGDUbduXVSqVAkA0LhxY7i4uKBbt26YPHkyoqOjMXr0aAQGBio9vf3798fcuXMxdOhQ9OrVCwcOHMC6deuwY8cOpS3BwcEICAhAtWrV4OnpiZkzZyI+Pl6Z7YKIiIiI/jvyNEj+5ZdfAKTdMCS9pUuXokePHjA0NMS+ffuUgNXOzg5t27bF6NGjlbL6+vrYvn07BgwYAG9vb5iamiIgIAATJkxQyjg6OmLHjh0YPHgwZs2aBVtbWyxatEiZ/g0AOnTogNjYWIwZMwbR0dFwd3fH7t27MwzmIyIiIqJPX54GySLyzvV2dnY4fPjwe7djb2+PnTt3vrOMj48Pzp49+84yQUFBCAoKem99RERERPRpy1fzJBMRERER5QcMkomIiIiItDBIJiIiIiLSwiCZiIiIiEgLg2QiIiIiIi0MkomIiIiItDBIJiIiIiLSwiCZiIiIiEgLg2QiIiIiIi0MkomIiIiItDBIJiIiIiLSkqUg+ebNm7puBxERERFRvpGlILlMmTKoX78+VqxYgdevX+u6TUREREREeSpLQfKZM2dQqVIlBAcHw9raGl9++SVOnTql67YREREREeWJLAXJ7u7umDVrFh48eIAlS5YgKioKtWvXhqurK6ZPn47Y2Fhdt5OIiIiIKNdka+BegQIF0KZNG6xfvx4///wzrl+/ju+++w52dnbo3r07oqKidNVOIiIiIqJck60g+fTp0/jqq69QsmRJTJ8+Hd999x1u3LiBvXv34sGDB2jZsqWu2klERERElGsKZOVJ06dPx9KlS3H16lU0a9YMy5cvR7NmzaCnlxZzOzo6IjQ0FA4ODrpsK9E7+Tcbk+N17Ng5IcfrICIioryXpSD5l19+Qa9evdCjRw+ULFky0zKWlpZYvHhxthpHRERERJQXshQkX7t27b1lDA0NERAQkJXNExERERHlqSzlJC9duhTr16/PsHz9+vVYtmxZthtFRERERJSXshQkT5o0CcWLF8+w3NLSEv/73/+y3SgiIiIioryUpSD57t27cHR0zLDc3t4ed+/ezXajiIiIiIjyUpaCZEtLS5w/fz7D8nPnzqFYsWLZbhQRERERUV7KUpDcqVMnDBw4EAcPHkRKSgpSUlJw4MABfPPNN+jYsaOu20hERERElKuyNLvFxIkTcfv2bTRs2BAFCqRtIjU1Fd27d2dOMv0n+X0xPsfrCNswNsfrICIiojRZCpINDQ2xdu1aTJw4EefOnUPBggXh5uYGe3t7XbePiIiIiCjXZSlIVitXrhzKlSunq7YQEREREeULWQqSU1JSEBoaiv379+Phw4dITU3VWH/gwAGdNI6IiIiIKC9kKUj+5ptvEBoaCn9/f7i6ukKlUum6XUREREREeSZLs1usWbMG69atw9q1azFz5kzMmDFD4+9DTZo0CdWrV0ehQoVgaWmJVq1a4erVqxplXr9+jcDAQBQrVgxmZmZo27YtYmJiNMrcvXsX/v7+MDExgaWlJYYMGYLk5GSNMocOHULVqlVhZGSEMmXKIDQ0NEN75s2bBwcHBxgbG8PLywunTp368INCRERERJ+MLAXJhoaGKFOmTLYrP3z4MAIDA3HixAns3bsXb968QePGjREfH6+UGTx4MH7//XesX78ehw8fxoMHD9CmTRtlfUpKCvz9/ZGUlITjx49j2bJlCA0NxZgxY5Qyt27dgr+/P+rXr4/IyEgMGjQIffr0QVhYmFJm7dq1CA4OxtixY3HmzBlUrlwZfn5+ePjwYbb3k4iIiIj+XbIUJH/77beYNWsWRCRble/evRs9evRAxYoVUblyZYSGhuLu3buIiIgAADx//hyLFy/G9OnT0aBBA3h4eGDp0qU4fvw4Tpw4AQDYs2cP/vrrL6xYsQLu7u5o2rQpJk6ciHnz5iEpKQkAEBISAkdHR0ybNg0VKlRAUFAQvvjiC41e7+nTp6Nv377o2bMnXFxcEBISAhMTEyxZsiRb+0hERERE/z5ZCpKPHTuGlStXwsnJCS1atECbNm00/rLq+fPnAICiRYsCACIiIvDmzRv4+voqZZydnVGqVCmEh4cDAMLDw+Hm5gYrKyuljJ+fH+Li4nDp0iWlTPptqMuot5GUlISIiAiNMnp6evD19VXKaEtMTERcXJzGHxERERF9GrI0cK9w4cJo3bq1ThuSmpqKQYMGoVatWnB1dQUAREdHw9DQEIULF9Yoa2VlhejoaKVM+gBZvV697l1l4uLikJCQgKdPnyIlJSXTMleuXMm0vZMmTcL48Tl/AwkiIiIiyn1ZCpKXLl2q63YgMDAQFy9exLFjx3S+7ZwwYsQIBAcHK4/j4uJgZ2eXhy2i/6oG3SfmeB0Hln+f43UQERHlJ1lKtwCA5ORk7Nu3D7/++itevHgBAHjw4AFevnz50dsKCgrC9u3bcfDgQdja2irLra2tkZSUhGfPnmmUj4mJgbW1tVJGe7YL9eP3lTE3N0fBggVRvHhx6OvrZ1pGvQ1tRkZGMDc31/gjIiIiok9DloLkO3fuwM3NDS1btkRgYCBiY2MBAD///DO+++67D96OiCAoKAibN2/GgQMH4OjoqLHew8MDBgYG2L9/v7Ls6tWruHv3Lry9vQEA3t7euHDhgsYsFHv37oW5uTlcXFyUMum3oS6j3oahoSE8PDw0yqSmpmL//v1KGSIiIiL678hSkPzNN9+gWrVqePr0KQoWLKgsb926dYZg9F0CAwOxYsUKrFq1CoUKFUJ0dDSio6ORkJAAALCwsEDv3r0RHByMgwcPIiIiAj179oS3tzdq1KgBAGjcuDFcXFzQrVs3nDt3DmFhYRg9ejQCAwNhZGQEAOjfvz9u3ryJoUOH4sqVK5g/fz7WrVuHwYMHK20JDg7GwoULsWzZMly+fBkDBgxAfHw8evbsmZVDRERERET/YlnKST569CiOHz8OQ0NDjeUODg74559/Png7v/zyCwDAx8dHY/nSpUvRo0cPAMCMGTOgp6eHtm3bIjExEX5+fpg/f75SVl9fH9u3b8eAAQPg7e0NU1NTBAQEYMKECUoZR0dH7NixA4MHD8asWbNga2uLRYsWwc/PTynToUMHxMbGYsyYMYiOjoa7uzt2796dYTAfEREREX36shQkp6amIiUlJcPy+/fvo1ChQh+8nQ+ZZ9nY2Bjz5s3DvHnz3lrG3t4eO3fufOd2fHx8cPbs2XeWCQoKQlBQ0HvbRERERESftiylWzRu3BgzZ85UHqtUKrx8+RJjx45Fs2bNdNU2IiIiIqI8kaWe5GnTpsHPzw8uLi54/fo1OnfujGvXrqF48eJYvXq1rttIRERERJSrshQk29ra4ty5c1izZg3Onz+Ply9fonfv3ujSpYvGQD4i+rTV+TLn52g++ivnaCYiotyXpSAZAAoUKICuXbvqsi1ERERERPlCloLk5cuXv3N99+7ds9QYIiIiIqL8IEtB8jfffKPx+M2bN3j16hUMDQ1hYmLCIJmIiIiI/tWyNLvF06dPNf5evnyJq1evonbt2hy4R0RERET/elkKkjNTtmxZ/PTTTxl6mYmIiIiI/m10FiQDaYP5Hjx4oMtNEhERERHluizlJG/btk3jsYggKioKc+fORa1atXTSMCIiIiKivJKlILlVq1Yaj1UqFUqUKIEGDRpg2rRpumgXEREREVGeyVKQnJqaqut2EBF9FO9vcv5GJuGzeCMTIqL/Kp3mJBMRERERfQqy1JMcHBz8wWWnT5+elSqIiIiIiPJMloLks2fP4uzZs3jz5g3Kly8PAPj777+hr6+PqlWrKuVUKpVuWklERERElIuyFCS3aNEChQoVwrJly1CkSBEAaTcY6dmzJ+rUqYNvv/1Wp40kIiIiIspNWQqSp02bhj179igBMgAUKVIEP/zwAxo3bswgmYg+adWHTcjxOv78eUyO10FERG+XpYF7cXFxiI2NzbA8NjYWL168yHajiIiIiIjyUpaC5NatW6Nnz57YtGkT7t+/j/v372Pjxo3o3bs32rRpo+s2EhERERHlqiylW4SEhOC7775D586d8ebNm7QNFSiA3r17Y8qUKTptIBERERFRbstSkGxiYoL58+djypQpuHHjBgDAyckJpqamOm0cEREREVFeyNbNRKKiohAVFYWyZcvC1NQUIqKrdhERERER5Zks9SQ/fvwY7du3x8GDB6FSqXDt2jWULl0avXv3RpEiRTBt2jRdt5OIiABUGTs+x+s4O35sjtdBRJTfZaknefDgwTAwMMDdu3dhYmKiLO/QoQN2796ts8YREREREeWFLPUk79mzB2FhYbC1tdVYXrZsWdy5c0cnDSMiIiIiyitZCpLj4+M1epDVnjx5AiMjo2w3ioiI8p/KP43L8TrODc/5OoiIPkSW0i3q1KmD5cuXK49VKhVSU1MxefJk1K9fX2eNIyIiIiLKC1nqSZ48eTIaNmyI06dPIykpCUOHDsWlS5fw5MkT/PHHH7puIxERERFRrspST7Krqyv+/vtv1K5dGy1btkR8fDzatGmDs2fPwsnJSddtJCIiIiLKVR/dk/zmzRs0adIEISEhGDVqVE60iYiISIP77Jyfli5yYM5Pr0dE/x4f3ZNsYGCA8+fP66TyI0eOoEWLFrCxsYFKpcKWLVs01vfo0QMqlUrjr0mTJhplnjx5gi5dusDc3ByFCxdG79698fLlS40y58+fR506dWBsbAw7OztMnjw5Q1vWr18PZ2dnGBsbw83NDTt37tTJPhIRERHRv0+W0i26du2KxYsXZ7vy+Ph4VK5cGfPmzXtrmSZNmih39ouKisLq1as11nfp0gWXLl3C3r17sX37dhw5cgT9+vVT1sfFxaFx48awt7dHREQEpkyZgnHjxmHBggVKmePHj6NTp07o3bs3zp49i1atWqFVq1a4ePFitveRiIiIiP59sjRwLzk5GUuWLMG+ffvg4eEBU1NTjfXTp0//oO00bdoUTZs2fWcZIyMjWFtbZ7ru8uXL2L17N/78809Uq1YNADBnzhw0a9YMU6dOhY2NDVauXImkpCQsWbIEhoaGqFixIiIjIzF9+nQlmJ41axaaNGmCIUOGAAAmTpyIvXv3Yu7cuQgJCfmgfSEiIiKiT8dH9STfvHkTqampuHjxIqpWrYpChQrh77//xtmzZ5W/yMhInTbw0KFDsLS0RPny5TFgwAA8fvxYWRceHo7ChQsrATIA+Pr6Qk9PDydPnlTK1K1bF4aGhkoZPz8/XL16FU+fPlXK+Pr6atTr5+eH8PDwt7YrMTERcXFxGn9ERERE9Gn4qJ7ksmXLIioqCgcPHgSQdhvq2bNnw8rKKkca16RJE7Rp0waOjo64ceMGRo4ciaZNmyI8PBz6+vqIjo6GpaWlxnMKFCiAokWLIjo6GgAQHR0NR0dHjTLq9kZHR6NIkSKIjo7OsA9WVlbKNjIzadIkjB/PQR5ERJ+6GotH53gdJ3r/kON1ENHH+aggWUQ0Hu/atQvx8fE6bVB6HTt2VP7v5uaGSpUqwcnJCYcOHULDhg1zrN4PMWLECAQHByuP4+LiYGdnl4ctIiIiIiJdydLAPTXtoDmnlS5dGsWLF8f169cBANbW1nj48KFGmeTkZDx58kTJY7a2tkZMTIxGGfXj95V5Wy40kJYrbW5urvFHRERERJ+GjwqS1dOwaS/LLffv38fjx49RsmRJAIC3tzeePXuGiIgIpcyBAweQmpoKLy8vpcyRI0fw5s0bpczevXtRvnx5FClSRCmzf/9+jbr27t0Lb2/vnN4lIiIiIsqHPjrdokePHjAyMgIAvH79Gv37988wu8WmTZs+aHsvX75UeoUB4NatW4iMjETRokVRtGhRjB8/Hm3btoW1tTVu3LiBoUOHokyZMvDz8wMAVKhQAU2aNEHfvn0REhKCN2/eICgoCB07doSNjQ0AoHPnzhg/fjx69+6NYcOG4eLFi5g1axZmzJih1PvNN9+gXr16mDZtGvz9/bFmzRqcPn1aY5o4IiIiIvrv+KggOSAgQONx165ds1X56dOnUb9+feWxOsc3ICAAv/zyC86fP49ly5bh2bNnsLGxQePGjTFx4kQlSAeAlStXIigoCA0bNoSenh7atm2L2bNnK+stLCywZ88eBAYGwsPDA8WLF8eYMWM05lKuWbMmVq1ahdGjR2PkyJEoW7YstmzZAldX12ztHxERERH9O31UkLx06VKdVu7j4/POvOawsLD3bqNo0aJYtWrVO8tUqlQJR48efWeZdu3aoV27du+tj4iIKLc0XjMix+vY03FSjtdB9G+UrYF7RERERESfIgbJRERERERaGCQTEREREWlhkExEREREpIVBMhERERGRFgbJRERERERaGCQTEREREWlhkExEREREpIVBMhERERGRFgbJRERERERaGCQTEREREWlhkExEREREpIVBMhERERGRlgJ53QAiIiLKfzr//l2O17GqxdQcr4Moq9iTTERERESkhUEyEREREZEWBslERERERFoYJBMRERERaWGQTERERESkhUEyEREREZEWTgFHRERE+UrwwaAcr2N6/bk5Xgf9u7EnmYiIiIhIC3uSiYiIiP7P/452z/E6RtZZnuN1UPaxJ5mIiIiISAuDZCIiIiIiLUy3ICIiIsoHFoZ/nuN19PXeluN1fCrYk0xEREREpIU9yURERET/cVtP1snxOlp6Hc3xOnSJQTIRERER5ZkTf3rkeB01qkd89HOYbkFEREREpCVPg+QjR46gRYsWsLGxgUqlwpYtWzTWiwjGjBmDkiVLomDBgvD19cW1a9c0yjx58gRdunSBubk5ChcujN69e+Ply5caZc6fP486derA2NgYdnZ2mDx5coa2rF+/Hs7OzjA2Noabmxt27typ8/0lIiIion+HPA2S4+PjUblyZcybNy/T9ZMnT8bs2bMREhKCkydPwtTUFH5+fnj9+rVSpkuXLrh06RL27t2L7du348iRI+jXr5+yPi4uDo0bN4a9vT0iIiIwZcoUjBs3DgsWLFDKHD9+HJ06dULv3r1x9uxZtGrVCq1atcLFixdzbueJiIiIKN/K05zkpk2bomnTppmuExHMnDkTo0ePRsuWLQEAy5cvh5WVFbZs2YKOHTvi8uXL2L17N/78809Uq1YNADBnzhw0a9YMU6dOhY2NDVauXImkpCQsWbIEhoaGqFixIiIjIzF9+nQlmJ41axaaNGmCIUOGAAAmTpyIvXv3Yu7cuQgJCcmFI0FERERE+Um+zUm+desWoqOj4evrqyyzsLCAl5cXwsPDAQDh4eEoXLiwEiADgK+vL/T09HDy5EmlTN26dWFoaKiU8fPzw9WrV/H06VOlTPp61GXU9WQmMTERcXFxGn9ERERE9GnIt0FydHQ0AMDKykpjuZWVlbIuOjoalpaWGusLFCiAokWLapTJbBvp63hbGfX6zEyaNAkWFhbKn52d3cfuIhERERHlU/k2SM7vRowYgefPnyt/9+7dy+smEREREZGO5Nsg2draGgAQExOjsTwmJkZZZ21tjYcPH2qsT05OxpMnTzTKZLaN9HW8rYx6fWaMjIxgbm6u8UdEREREn4Z8GyQ7OjrC2toa+/fvV5bFxcXh5MmT8Pb2BgB4e3vj2bNniIj4/xNEHzhwAKmpqfDy8lLKHDlyBG/evFHK7N27F+XLl0eRIkWUMunrUZdR10NERERE/y15GiS/fPkSkZGRiIyMBJA2WC8yMhJ3796FSqXCoEGD8MMPP2Dbtm24cOECunfvDhsbG7Rq1QoAUKFCBTRp0gR9+/bFqVOn8McffyAoKAgdO3aEjY0NAKBz584wNDRE7969cenSJaxduxazZs1CcHCw0o5vvvkGu3fvxrRp03DlyhWMGzcOp0+fRlBQUG4fEiIiIiLKB/J0CrjTp0+jfv36ymN14BoQEIDQ0FAMHToU8fHx6NevH549e4batWtj9+7dMDY2Vp6zcuVKBAUFoWHDhtDT00Pbtm0xe/ZsZb2FhQX27NmDwMBAeHh4oHjx4hgzZozGXMo1a9bEqlWrMHr0aIwcORJly5bFli1b4OrqmgtHgYiIiIjymzwNkn18fCAib12vUqkwYcIETJgw4a1lihYtilWrVr2znkqVKuHo0aPvLNOuXTu0a9fu3Q0mIiIiov+EfJuTTERERESUVxgkExERERFpYZBMRERERKSFQTIRERERkRYGyUREREREWhgkExERERFpYZBMRERERKSFQTIRERERkRYGyUREREREWhgkExERERFpYZBMRERERKSFQTIRERERkRYGyUREREREWhgkExERERFpYZBMRERERKSFQTIRERERkRYGyUREREREWhgkExERERFpYZBMRERERKSFQTIRERERkRYGyUREREREWhgkExERERFpYZBMRERERKSFQTIRERERkRYGyUREREREWhgkExERERFpYZBMRERERKSFQTIRERERkRYGyUREREREWhgkExERERFpyddB8rhx46BSqTT+nJ2dlfWvX79GYGAgihUrBjMzM7Rt2xYxMTEa27h79y78/f1hYmICS0tLDBkyBMnJyRplDh06hKpVq8LIyAhlypRBaGhobuweEREREeVT+TpIBoCKFSsiKipK+Tt27JiybvDgwfj999+xfv16HD58GA8ePECbNm2U9SkpKfD390dSUhKOHz+OZcuWITQ0FGPGjFHK3Lp1C/7+/qhfvz4iIyMxaNAg9OnTB2FhYbm6n0RERESUfxTI6wa8T4ECBWBtbZ1h+fPnz7F48WKsWrUKDRo0AAAsXboUFSpUwIkTJ1CjRg3s2bMHf/31F/bt2wcrKyu4u7tj4sSJGDZsGMaNGwdDQ0OEhITA0dER06ZNAwBUqFABx44dw4wZM+Dn55er+0pERERE+UO+70m+du0abGxsULp0aXTp0gV3794FAERERODNmzfw9fVVyjo7O6NUqVIIDw8HAISHh8PNzQ1WVlZKGT8/P8TFxeHSpUtKmfTbUJdRb+NtEhMTERcXp/FHRERERJ+GfB0ke3l5ITQ0FLt378Yvv/yCW7duoU6dOnjx4gWio6NhaGiIwoULazzHysoK0dHRAIDo6GiNAFm9Xr3uXWXi4uKQkJDw1rZNmjQJFhYWyp+dnV12d5eIiIiI8ol8nW7RtGlT5f+VKlWCl5cX7O3tsW7dOhQsWDAPWwaMGDECwcHByuO4uDgGykRERESfiHzdk6ytcOHCKFeuHK5fvw5ra2skJSXh2bNnGmViYmKUHGZra+sMs12oH7+vjLm5+TsDcSMjI5ibm2v8EREREdGn4V8VJL98+RI3btxAyZIl4eHhAQMDA+zfv19Zf/XqVdy9exfe3t4AAG9vb1y4cAEPHz5Uyuzduxfm5uZwcXFRyqTfhrqMehtERERE9N+Tr4Pk7777DocPH8bt27dx/PhxtG7dGvr6+ujUqRMsLCzQu3dvBAcH4+DBg4iIiEDPnj3h7e2NGjVqAAAaN24MFxcXdOvWDefOnUNYWBhGjx6NwMBAGBkZAQD69++PmzdvYujQobhy5Qrmz5+PdevWYfDgwXm560RERESUh/J1TvL9+/fRqVMnPH78GCVKlEDt2rVx4sQJlChRAgAwY8YM6OnpoW3btkhMTISfnx/mz5+vPF9fXx/bt2/HgAED4O3tDVNTUwQEBGDChAlKGUdHR+zYsQODBw/GrFmzYGtri0WLFnH6NyIiIqL/sHwdJK9Zs+ad642NjTFv3jzMmzfvrWXs7e2xc+fOd27Hx8cHZ8+ezVIbiYiIiOjTk6/TLYiIiIiI8gKDZCIiIiIiLQySiYiIiIi0MEgmIiIiItLCIJmIiIiISAuDZCIiIiIiLQySiYiIiIi0MEgmIiIiItLCIJmIiIiISAuDZCIiIiIiLQySiYiIiIi0MEgmIiIiItLCIJmIiIiISAuDZCIiIiIiLQySiYiIiIi0MEgmIiIiItLCIJmIiIiISAuDZCIiIiIiLQySiYiIiIi0MEgmIiIiItLCIJmIiIiISAuDZCIiIiIiLQySiYiIiIi0MEgmIiIiItLCIJmIiIiISAuDZCIiIiIiLQySiYiIiIi0MEgmIiIiItLCIJmIiIiISAuDZCIiIiIiLQyStcybNw8ODg4wNjaGl5cXTp06lddNIiIiIqJcxiA5nbVr1yI4OBhjx47FmTNnULlyZfj5+eHhw4d53TQiIiIiykUF8roB+cn06dPRt29f9OzZEwAQEhKCHTt2YMmSJRg+fLhG2cTERCQmJiqPnz9/DgCIi4sDACSnvsnx9qrr0vYmJSnv6k5OzHR5rtT9Ju/qTn7zOu/qTvqP1p2Yd3Wn/Ffrfp13n7G8rDs5IQ/rfpWH36l5WHdifN79jr3Ow7oT4vMudngVn5xndce/TMm1utX/ish7n6OSDyn1H5CUlAQTExNs2LABrVq1UpYHBATg2bNn2Lp1q0b5cePGYfz48bncSiIiIiLKrnv37sHW1vadZdiT/H8ePXqElJQUWFlZaSy3srLClStXMpQfMWIEgoODlcepqal48uQJihUrBpVK9dH1x8XFwc7ODvfu3YO5ufnH70A2sG7WzbpZN+tm3aybdf8X6hYRvHjxAjY2Nu8tyyA5i4yMjGBkZKSxrHDhwtnerrm5ea6/2Vg362bdrJt1s27Wzbr/K3VbWFh8UDkO3Ps/xYsXh76+PmJiYjSWx8TEwNraOo9aRURERER5gUHy/zE0NISHhwf279+vLEtNTcX+/fvh7e2dhy0jIiIiotzGdIt0goODERAQgGrVqsHT0xMzZ85EfHy8MttFTjIyMsLYsWMzpHDkBtbNulk362bdrJt1s27WrYmzW2iZO3cupkyZgujoaLi7u2P27Nnw8vLK62YRERERUS5ikExEREREpIU5yUREREREWhgkExERERFpYZBMRERERKSFQTIRERERkRYGyUREuejy5ct4/fp1XjeDiIjeg0FyPpR+wpHk5OQMy+jTICJISUnJ62bkuvy43+k/X6mpqTlWx/bt21GxYkVs2bIFiYmJOVIPUX7F3zH6t2GQnA+pVCpERUXh3r17KFCgALZt24bff/89X3zB5Ic2fCpu3LgBfX19AMCSJUsQHh6exy3KHflpv58/f474+HioVCrs3LkTkZGR0NPLma9FlUqF5s2bo2vXrujfv3+eB8rqz/KbN2/yrO6kpKRcrzsv5NSJV1bEx8fnWd0qlQoAcPbs2RyvK/1v1X/pdyuv9/XixYtK596ngEFyPvTs2TP06dMHw4YNQ0hICFq1aoXXr18rXzB5ITIyEkDal1xefwhzQm7v0/nz51GhQgWsWLECw4cPx7fffgtra+tcbcO7JCYmagQwujo++Wm/Hz58iAoVKmD79u1YsWIFmjdvjps3b+ZIXdu2bVNOBpYvX47WrVujd+/eeRYoiwhUKhW2bduGGTNm5GoQp677wIED+OWXX3Djxo1cqffRo0d4+vQpYmJiNNqSU2JiYnDv3j0AyLETrw+xf/9+XL9+HQAwevRorFixItev5KR/f23ZsgV9+/bF4sWLc7TON2/eKCeAuf3buXLlSmzcuDFH60hOTlbev8+fP8erV68A5O1v9Pr16/H555+jQIHcv5mzep9fvHiBR48eZbouqxumfGjx4sXi7Ows+vr6MmPGDBERSU5OzpO2PH/+XCwtLeW7777T6XZTU1NFROT8+fNy5MgROX36tE63/zFtePTokbx8+VJiY2M1lueUqKgomThxohQsWFAsLCzkwYMHIpJ3r3F6kydPlg4dOoibm5uMGzdOTp06pbNt57f9Hjp0qJiYmIienp4sWLBA59tPTU2V27dvS6FChaRTp04a7/EePXqIqamprFmzRl6/fq3zurXt3r1bLl68qLGsS5cuyvdLblB/rjZs2CBmZmYyduxY+fvvv3O83q1bt4qPj4+UL19efHx85KeffsrR+saMGSOVKlUSa2trcXd3l+XLl8vjx49ztM7M3L9/X3x8fMTLy0t69eolBQoUkPPnz+dqG1JSUpT/r1u3ToKDg8Xc3FwqVKggy5Yty5E6d+7cKZ9//rnUqFFD2rZtK8ePH8+Vz5iIyJAhQ8TR0VGmTp0q0dHROt/+mjVrNB5v2bJF3N3dpUaNGtKpUyed1/cxnj17JlZWVjJ16tRcrVf9vbJ161apV6+e2NvbS/PmzWXq1Kny6tWrbG2bQXI+o36xr169Kvb29lK6dGnp2bOn3LlzR0Q0v3Bysg3pg8SkpCSZNWuW+Pn5yfHjx3Va1+bNm8XU1FTKlSsnBgYGMmnSpBwPUNXU9fz+++9Sv359qVKliri7u2f4EsopCxYsEJVKJSYmJho/FrnxGr/N8OHDpXjx4rJkyRKZMWOGuLu7i6enpzx69EhndSxcuDDP91td1/nz50WlUomBgYGsXr1aXr58mSP17du3T5ycnKRr167y559/KstzI1BOTU2Vy5cvS8GCBaVfv35y9epVZV2DBg1kypQpOVLv2xw/flyKFSsmoaGhGsufP3+u/F+X3wE7duwQY2NjmTVrlhw7dkzGjh0rKpVKDh06pLM60vvxxx+lWLFismLFCtm7d6906tRJ3NzcZNKkSRr7mFsOHjwon332mRgZGcm2bdtEROTNmze53o4RI0ZIsWLFZO7cuTJ37lxxc3OT6tWry+LFi3Vaz7Zt28TU1FRGjBghe/bsETc3N3F2dpZz587ptJ7MTJ06VYoXLy4nT57Mke3fu3dPjIyMpHHjxiIicu7cOTEzM5PRo0fL2LFjxdHRUapVqyYxMTE5Uv+7JCYmyps3b+Tbb7+Vdu3aSUJCQq79louknRiZmJjITz/9JBcuXJAuXbpIsWLFZPfu3dnaLoPkfCo2NlYuXbokCxculNq1a0uXLl0yBMo53ft2+vRp5Uv92rVr4u3tLcOGDdNoQ1alpqZKXFyc+Pj4yOLFi+Xy5cuycOFCKVCggAwdOjTXvsS3b98uxsbGMmPGDDl69KgMHDhQVCqVTntP1dTHTP3F8c8//8jp06dl/PjxYmZmJiEhIRrrc1tkZKS4urrKH3/8ISJpgZ2xsbEsXbpURLL+mqv3R/38+/fvy8mTJ2XChAl5vt8vXryQ06dPy/Dhw8XQ0FAWLVqUaaCcnfe7er8OHDggDg4O0qVLF433V69evcTU1FRWr16do71da9asEXt7exkwYID89ddfIiLSuHFjJUhJ//7U9WuR/vjNmTNH6tevLyIiCQkJsnXrVmnZsqU0bdpU/ve//+m03qSkJAkICJCJEyeKSNpnzsHBQQYMGKDTekTS9vHx48dSo0YNmTdvnsa6IUOGSJkyZeTIkSMikjvvdfUxP3PmjFStWlW8vLykbt26cuXKFRHJ3as3N27ckNKlS8uGDRuUZVFRUdK8eXNxdXWV5cuXZ7uO1NRUefbsmfj4+CjvoxcvXoi9vb0EBgZme/vv8/LlS2nZsqXMnDlTRESuX78uGzZskKZNm0r37t3l3r17Oqnn8OHDUqpUKWnRooXs379ffvzxR2XdtWvXxNXVVTw8PJSrojkt/Um3iMihQ4fEwMBAtm/fniv1p6SkyKtXr6Rt27YyduxYEUnr0ba1tZWvv/5ao1xWMEjOJ9RfmpcvX5azZ88qP2IiaT8qtWvXlu7du8vdu3dFRGT69Ony+++/51h7Ll26JCqVSipUqCBbt26VuLg4OXjwoKhUKtm3b59Gmz+G+jkvX76U58+fy7BhwzTOetesWSMFChSQYcOG5Xig/ObNG+nYsaOMHz9eRETu3LkjTk5O0q9fv0zbnB3pP6CXL1+WEydOyKNHjyQ1NVVevnwpw4cPl0KFCsnChQuVcv/73/80eh1zWkREhJQtW1ZERDZu3ChmZmbyyy+/iIhIfHy8rFu37qN7lNPvd1RUlNy/f195/PjxYxkxYoSYmZnl2n6rX8t79+7J33//rdG+b775RgwNDWXp0qVKoDxnzhyJjIzMVp3pg5F9+/a9NVAuXLiwhIaG6jxQTv/+Xbdundja2krfvn3l0qVL0rJlS9m7d2+G52S3R119XF++fKnsv/oqVEhIiDg7O8v06dOlUaNG0rx5c2nVqpUEBweLo6OjnDlzJlt1p/f69WupXLmyrFixQmJjY+Wzzz6Tfv36KcckNDRUDh8+rLP63rx5IxUqVFA+N+lfyxo1akiHDh10VtfbaAe/r1+/lhcvXkhYWJg0atRIatasqQTKajndwx0TEyOlS5eWFStWaLTx0aNHYmNjI1WqVJElS5Zku54XL16Ih4eH3L59Wx48eCAlS5bU+D7fvn27xMXFZbuet2nbtq3UqFFDVq1aJY0aNZIGDRpI7969xcHBQZo3b66zeo4ePSqfffaZGBgYSHBwsMY6daDs5eWV4z3Ka9asEUdHRwkICJCzZ89KfHy8iIh89dVX0qJFi1xNMWrcuLEcOHBA7t+/LzY2Nhqv+++//57l3n0GyfnI+vXrxdLSUmxtbcXJyUl+/vlnZd2cOXOkXr16Sm6ZSqXK0dyyly9firu7u+jp6UnPnj2la9eusmvXLvnxxx+ldu3aSq92VmzevFl8fHzEw8ND7OzsMuQir1mzRgoWLCiBgYE6D5TTBwyvXr2ScuXKyc6dO+XZs2cZfkBDQkI0TlZ0UefIkSOlQoUKYm1tLdWqVZP+/ftLTEyMPHr0SEaPHi1GRkby9ddfi6+vr5QrVy5XenvGjx8vv//+uxw7dkyqVasmixcvFgsLC43esMOHD0vXrl0z5LS+S/r9Tp+jWblyZfntt9/kxYsXEhcXJyNHjszV/d6wYYNUqFBBihUrJu3bt5f169cr6wYNGiQmJiYyfPhw+fLLL0VfX18uXLiQpXrU+x8fHy+pqamSkJAgIiJ79uzJNFBu166dfPbZZznyI57+eK5du1bs7OxkwIABYm1tLSVKlJAWLVqIn5+f1KtXT3x9faVv375Ke7Pq9u3b0rx5czl58qSsWbNGVCqV/PnnnxIXFycdO3YULy8v6du3rxw9elRE0lJf3N3dM/RMZdfgwYNl0KBBYmdnp/H5fvbsmfTq1Utmz56d7ffb6tWrZe7cuSIi4u/vL3Xq1FHWJSYmiojIgAEDpEuXLtmq533Sn/Rt3rxZVq9erdGZ8vvvv0ujRo2kTp06SqDcpUsXneYGZ9Zj9+jRI3FxcZH+/fuLSNpnQ33MW7RoIW5ubuLr65vtdL6UlBRxd3eX4cOHi5OTk3z55ZeSlJQkImkn6X5+frJx48Zs1aEt/Xtn79694ufnJxYWFjJ27Fg5ceKEiIjMmzdPPv/8c+W9kBXanTVHjx4VV1dX8fT0VH4n1WWuX78uNjY2Ur9+/RxNYzt//rxs3LhR3N3dpXr16uLj4yPh4eEyY8YM8fT0lBs3bohIzqbSJScnS1JSkvj4+EjPnj2lTJky0q9fP+WYPHr0SNq3by8LFy7MUocXg+Q8pn7RHj9+LM7OzrJ06VI5cOCATJo0SQwMDGT06NFK2dWrV8uAAQOkefPmWf7hfp+HDx/Ks2fPRETk5MmT0qJFC5kwYYLMnz9fSpQoIbVq1RIXFxeZP3/+B7/x078xT548KcWLF5f+/fvL4MGDpUCBAtKzZ0+JiorSeM6yZcukRIkSOXImvGfPHuXL66uvvpIBAwbIZ599Jv3791c+WHFxcdKpUyeZPXu2zj7gU6dOFUtLS9m/f7+IiHTt2lWKFy+upDc8evRI5s2bJzVr1pTOnTsrX+45+QWzYcMGMTQ0lLNnz4pI2tm4SqWSadOmKWUSEhKkWbNm0qpVqyy1JbMcTVdXV/npp58kISFBnj59KvPnz8+V/f7rr7/EwcFBZsyYIStWrJCGDRuKj4+PxqC977//Xnx8fKRWrVrKcflY6vf8rl27pHXr1tKgQQPx8/OTy5cvi4hm6kX6XnP1QEZdUbdDu3d65cqVYm1tLa6urtKjRw9ZtmyZzJo1S8aOHSvTpk3TyQl4VFSUuLq6ipubmxgYGChpOyJpP2zaVyVGjx4tbm5u2R7s9OzZM6VHSyQt99/AwEBq1qwpDx8+VOofOXKklC5dWvkhz6qLFy8q4xk2bdokZ86cEXt7e2nfvr1Sl4hIzZo1ZeDAgdmq623atm0rQ4cOVR5/++23Ym5uLs7OzmJgYCCDBg1S1m3fvl2aNGmifJ/b2dkpn7nsSv+Z/fvvvyU2NlaePn2q1Kuvry8TJkxQyiQnJ0uXLl1ky5Yt4uTklKU0mFevXklycrLyms+YMUOKFCkitWvX1ig3cuRIqVixYrY6eLTNnz9fOnfuLG3btlWuSIqkpfWk17BhQ+ndu3eW61F/js+dOye7du2SLVu2SExMjBw5ckTKlCmj5CinL3vz5s1sv7ffJf1rnZycLDt27JBu3bqJk5OTdOzYUVQqVbb2+W3U+/fkyRNJSUlRfrP3798vRYsWFXd3d43yo0aNkjJlysjNmzezVB+D5Hxg3759Mnz4cAkKClLONF+8eCFz584VfX19jUBZJOMPnq5cunRJSpYsKUOHDlV+uL/77jsln+/s2bPStGlTUalU4unp+d52rFmzRgkKRNIuA/30008aOVS7d+8WfX19+fLLLzMEyrroUbt69apyTFNSUuTp06fi4uIie/bsERGRWbNmSYkSJaRu3brKl3lqaqqMGDFCnJycsvzBSi8lJUVevnwpzZs3l/nz54tI2iCDQoUKya+//ioiab1N6uP5+vVr5YsgJ1NO1qxZI4sWLVIuDYuI3L17V2rUqCFly5aV2bNny9SpU8XX11cqVqyotOVDg9f35WiWLl1a6UUUSTsGObnfly5dkvHjx8uQIUOUZdevX5f27dtLvXr1NFI+Hj58mO2Ug61bt0rBggVl/PjxsmbNGqlfv76YmZnJtWvXRCQtUC5btqx8/vnnSoqBLnNV1dvavXu3tG3bVgICAmTp0qXKsV2/fr3Y2tpKYGCgksalK+r3yJo1a0RfX1/Kly8vR48ezfS9s3XrVhk8eLAULlw426kW6Uf6p09tmDRpkpiamkr79u2lR48e0rlzZylSpEiWT4LUvvvuO2nbtq3UrFlTihQpIs7OzhISEiKbNm0SBwcHKV++vDRt2lRq1KghFSpUyJH3dXJyskydOlUMDAxk4sSJ8uTJE/H09JRz587J3bt3ZcOGDWJiYiJ9+vRRnnPmzBmZMWOGjBw5UmmTLq/ejBo1ShwcHKRs2bLSvn175Xfg119/FZVKJc2aNZOAgACpVauWVKhQQUREgoKCpGHDhh/1GdixY4d06tRJqlevLl999ZUcOHBAXr9+LQEBAVK+fHkJDg6WWbNmSe/evcXc3Dzbr3d6Q4cOFSsrK5k4caJMnTpVDA0NpXXr1sr6ly9fyr59+6RRo0bi5uaWobf3Y61fv16KFSsm7u7uolKppHbt2jJz5kw5cuSIODk5iZ+fn1I2J3Pe58+fL4GBgeLv7y+HDx/OcLIbFhYms2bNkjJlykj58uWV116XbdqyZYt4e3tLtWrV5Oeff1a+U6dNmyZ6enrSrl07GTBggHTr1i3b3ysMkvNYYmKijBo1SvT19cXDw0NjnTpQNjY2lm+//TZX2vPjjz9Ku3btxNHRUdasWSM7duyQcuXKKXl7MTExsnbtWuVN+Tb37t2T2rVrKz++T548kc8++0yMjY0z9Kbs2rVL9PT0JDAwMMMZeHZs3rxZVCqVbNiwQekpefXqlTg5OSkDaETSLrGXLVtWWrVqJYMHD5aOHTtm+wc0sy8EHx8fOXfunISFhWkMWEtMTJQFCxbI4cOHNYKInPyi++eff6Ro0aKiUqmUwQ5qMTEx0rlzZ/H09BQfHx/58ssvlS/49/3Ia7f5fTma6t62nNxv9YCeOnXqiLm5ubRt21Zj/bVr16R9+/bSsGFD5ZJ5duuLi4uTBg0aKFON3bt3TxwdHZU8OfU+7ty5UypXrqzT9316hw8flgIFCsiXX34pnp6e4uXlJV999ZXyeVi5cqXSo63rNAeRtCBm2bJl4u3tLXXr1pXdu3cr+56amiqJiYkybNgw8fX1zfbVsT///DPDSP8qVaooP+KhoaEycOBAadSokYwYMULjBD4rli5dKoULF5aIiAh58uSJREVFSaNGjaRu3boSGhoq9+/fl9GjR8s333wjY8aM+eDPUFYkJiZKSEiI6OnpSbdu3aRnz54al/a3b98upqam0rdv30yfn50AWXug544dO8Ta2lp+//13+d///ifNmjUTV1dXJXXt+PHj0r17d/niiy800iE+//xz+fLLLz/4879161YxNjaWH374QX755Rdp37696OnpyYMHD+TKlSsyffp0cXFxkZo1a0rHjh0/KlXsfU6ePKmc+ImkBW1mZmZKJ4hIWjpE3759pXXr1tl+7c+cOSPFixeXRYsWKe+17t27S/369WXOnDly5MgRsbe3l1q1amV/595h+PDhYmVlJV999ZV07NhRLC0tZerUqZleAXvw4IHY2tpqdIrpQmRkpBQrVkx++OEH6d69u3h7e0u7du2UmGTPnj3SrFkzadmypXzzzTfZ/pwzSM4Hbt68KePHjxeVSqXxIRNJOxudMmWKFCtWTGJjY3OkpykhIUFevHihLL99+7b8/PPPYmhoKEOGDJFq1apJ1apVNQZdfQj1/ITnz5+XJ0+eSHh4uJQqVUpq166dIQANCwsTlUolwcHBOu3RaN++vRQrVkw2bdokCQkJ8urVK6lQoYL8/fffGsdy7ty50qtXL6lfv74MGjQoW7nI6be7evVqmTNnjoiItGrVSsqXLy8WFhYa0x7dv39f6tevr5OBKx/j+PHjUqVKFfHw8FBe//TB6vPnzzUuw35MgJxfcjTTO336tDRs2FDKlSsnW7Zs0Vh3/fp1adKkifj7+yvpRh9Lvf/qqZBKlSqlXHJW57urLVu2TLlykT41ILvSv37Xr1+XyZMnK6Pt4+Pj5eeff5bq1atLv379lNc2NDRUKlasmOFKTla87fvpwYMH4unpKXXq1JGwsDClnPqKTnYHjkVGRsr+/fs1ZsdQD2Byd3fXGECkq+/QUaNGSe3atSUlJUU57vfu3RNPT09xcnLSmMlBXaeuc+3Tb08dKJubm0uVKlUylN2+fbuYm5srJ6Y5YfXq1TJu3DiNK0dHjhwRf39/cXFxUdJ40p8sP3nyRIYOHSolSpT44O/dp0+fiq+vrzLH98OHD8XGxka++uorjXLq10VX6SRq+/fvF2dnZxFJ64xJ3+kRFxenzOxw48YNpQ3ZOTlauXKluLi4yPPnz5X3UlRUlHTu3Fl8fHwkPj5eDhw4IM7Ozjq/KqQWGhoq9vb2Sq/sqVOnRKVSiY2Njfzwww8aqZHq7/jx48dLkyZNsn31O/1n9ujRoxrpQytWrBAfHx9p06aNXLp0SUTko696vguD5FyWfnaH9IHpkydPZPjw4WJqaqp82NTi4+PlyZMnOdIOdX5a1apVxd/fX8LCwpTg9uTJk/LFF1+Il5eXqFQqmTVr1kf/wDx//lzc3NykU6dO8vjxYwkPDxc7Ozvp0aNHhrzHffv26WSg3MqVKzVmJOjUqZNYWFjI+vXr5ebNm+Lq6vrRAf+HSv+hVOcqVqlSRTZv3iyXLl0ST09PcXNzE5G0H4qnT59K06ZNpU6dOrkySG/SpEkyZ84cpZ0nTpwQe3t7qV+/vvLaZvaD8r7XPbP9zssczbe19/Tp0+Lj4yPNmzfPMEXRzZs3s/2+OH36tAQGBkp8fLy0bt1axo0bJ6VKlZL+/fsrx/Xhw4fSunVrWbVq1Tvb+jGmT5+u8dm5fPmy1K1bVxwcHDTm/X7x4oUSKA8YMED5MdPF7Abq/Th48KCMHz9eunXrJkeOHFGC7wcPHoiXl5f4+PjIvHnzZPTo0aJSqeT27dvZqvfp06dSsmRJ5SQ7PXWg7OnpqbPxDer9nDBhglSrVk0Z4Kh+fQ8cOCAmJiZSv359Wb16tU7qfB/1CVdCQoIylab2FSKRtDEIDRs21Enw4Ovrq3Ei8Ndff4mnp6eYmprK7NmzNcoePXpUme4tfQfJnTt3ZMyYMVK6dOmPunL38OFDKVOmjERERMg///wjn332mUYv+YYNGzRm8NDVidHixYtl9uzZEhkZKU2aNJE5c+ZoBMgiaScFHTt21Ljamt3jvXr1anFyclI+S+og8NatW6JSqeTAgQMiItm+cca7LFy4UOnw2bx5s1hYWMhvv/0mo0aNEiMjI/npp58yTHPXtm1badSokU4GLB49elTmzJkjI0aMkMGDB2uUUQfK7dq103gf6eJ1Z5Cci9LfvKJevXri6uoqtWrVko0bN0p8fLzExcXJiBEjMkwFllN27NghBgYG8u2338qMGTOkbt26UrlyZZk5c6aSDxwdHS3btm2Thg0bZvly7J9//inVqlWTXr16yZMnT+TYsWNKoKzrAYg3btwQZ2fnDD+8nTp1khIlSsiCBQvEwcFB2rVrJ2PHjpWff/5ZRo4cKd9++62sWLFCZ3PEaucqli9fXn755RdZvXq12NraSrly5aRmzZpSs2ZNqVKlivIDm9OBcnBwsKhUKlm8eLFGoFyqVCmNfMCsHoP8kKOpbvuRI0fkxx9/lEGDBsn+/fuVk9ITJ06Ij4+PNGvWTHbu3KnTumfOnCkVK1ZU5l42MTGRJk2aaJQZPny4VKxYUWc9PpcvX5Y2bdpofD6joqJkwIABUqJECenVq5dG+fj4eJk6daqUKVNG6ZHRVRCxadMm5e6C6lz2kSNHKrn9UVFR0rRpU/Hy8hJnZ2edTfd28OBBqVKlSq6O9D9//rzo6+vLuHHjNJarc8AbNGggvr6+2QoQ3ib9fvz2229SqlQp5fVPSkqS+fPnZxgk965tfKxHjx7JnDlzMuzb2rVrlddWO2A6duyYeHt7S+fOnZVlb968kRs3bnzwgNWzZ8/K3bt3JTExUVq0aCELFy4UBwcH6du3r/Ldee/ePenVq5ds3bo1y/uXmdevXysDmJ89eyaVK1cWlUqlcfXi1atX0rRpU+nYsaNOr/pev35djIyMMoxPun37tri6ukp4eLjO6tK2adMmuX//vty9e1cePHggd+7ckcqVK8v06dNFJO3k18LCQkxNTZX5rlNTU+XRo0dSpUoVndxzYPPmzWJsbCwVKlQQCwsLKVGihNJrrLZq1SqpUqWKdOvWTaefOQbJuUT9hbRr1y4xNDSUUaNGycKFC6Vly5bi7OwskyZNklevXklsbKx8//33olKpNEaD65J6bt7GjRvLiBEjNNb1799fKlWqJAcPHtRYnt3g7cyZM+Lu7q4RKJcuXVratm2b4c2eVdu3b1dGr4ukXYKNiIhQHnfo0EFUKpVUrlxZ/Pz8pGvXrtKxY0dlrlZdTan3tlzFevXqyZIlS+TevXvyv//9T8aPHy+LFi1Sjm1u3UBl7NixUqBAAVm4cKFGoOzo6CiVKlXK8pd7fsjRVLd948aNSrDm5eUltWvXlqFDhyo9pidOnBBfX1+pXbu2hIWFZbu+9D04tWvXlhYtWkhKSoq0adNGKleuLAMHDpS5c+dKz549xcLCQqcDiET+/yDX48ePK3cWi42NlW+//VYqV66cIVh6+fKlzJ49WycDU9VOnDghdnZ2SirRixcvxMjISJycnCQ4OFg5cX3x4oXcvXs323dxVI/037p1a56N9F+6dKkYGBjIkCFD5PTp03Ljxg3x9/eXH3/8Uf766y9RqVSZzkOdHemD240bN8rcuXNFpVJJnTp1lN5LdaBcoEAB+eGHH3Rav7aff/5ZYzacTZs2Sd26daVBgwYZAuVz585lOTjfvHmz2NjYyOjRoyUlJUUCAwNFpVJJ69atNbY5fPhwcXFx0Wnagfp9dPr0aTEzM5MTJ07IuXPnxMTERNq3by9z5syRtWvXSsOGDTUG6enypGzFihViaGgow4cPl2vXrklMTIyMGjVK7OzscmxMw4gRI8TGxkZmz56tBJ7h4eHi4uKiDO4/f/68BAUFydy5czOdozsr0v8GPX36VMaOHat07GzdulV8fX3F29s7Q575unXrsn1lShuD5By0fPlyjdys+Ph4+fzzzzNcKhg2bJiUK1dOduzYISJpZ4c//PBDhgnfdSklJUVq1qyp/HimfzN7enrmyKT36QPlp0+fysGDB8XV1VUnH/Do6Gixt7eXnj17yrlz5yQxMVFsbGykffv2GgFJ7969pVChQjqfKzO99+Uqpp+XN6dyFdPLLBAaPXq0Eiirv9CPHDkirVu3znJb8kOOpkhaoGhrayuLFi0SkbTPk/rW50FBQUqgrL4EnN0f0927d0vXrl2VYPvOnTvi4OAgc+fOlVevXsmIESOkbt26Uq1aNencubNOr56k/zGJjY0VPz8/qVixonLCFx0dLYMGDRJPT88MgbKuB0hu2rRJvvnmGxFJe885OjpK//79ZezYsWJqaipDhgyR69ev66Su/DLSXyTt0r56fvvPPvtMqlSpIgkJCXL79m0pW7Zsjt0OediwYWJjYyPTp0+XwMBAKVOmjFSsWFEjUA4JCcnRDpeXL1/KoEGDxNjYWGOWnHXr1omPj480bNgw0xSmjw0et2/fLgULFpSFCxdqBN4BAQFSokQJ+d///ic//fST9OvXTwoVKpTtGwC9zfPnz6Vdu3YSFBQkImkpgs2bNxc7OzupV6+exhSWuv5uS01NldWrV0uhQoWkVKlSUq5cObG1tdXoCNKlCRMmSPHixeXUqVMaM00dPHhQrKysZNmyZfLnn39K8+bNpVOnTsr67Oy39pW9iIgIsbKyEi8vL2XaVpG0zkb1FSlddbK9DYPkHPLy5UvlbCf9F1S9evWUWzunD0z9/PzE19dXeZyTQZP6C6phw4bi7++vLFefKY4aNUp8fX1z5MflzJkzUq1aNWnfvr08e/ZMpzlUERER4unpKX369FGC8NKlS0uPHj00Luu2b99eihcvLqtWrcr2DRPSy0quYk7/gG/fvl1UKlWmaQVDhgwRExMTWb58eYY85I95/+WHHM308wFv27ZNSTG4efOm8h4YOnSoFC9eXL777juNHM7s1tu3b19RqVRStGhRGTt2rNy8eVN+/PFHadOmjRKwpKamyuvXr3P8asHWrVulRYsW4uXlpQRn6kC5Vq1ayndPTnjw4IEy5WLTpk010jycnJykZMmSMmrUqGwfg/wy0j+9+/fvS3h4uBw5ckT5fh0+fLg4OzvrZECk9vfkpUuXxNraWrZt26Ysu3nzplSpUkXc3Nzk77//FpG07/TNmzfr7H2X2ffVnTt35Pvvv88wu8P69eulYcOGUqlSJY0rfB8rISFB2rVrJyNHjhSRtM6mq1evypQpU5Rbmjdp0kS51K7Lk9Dp06fL1KlTNQLzBQsWiImJiZLe8vLlS3n8+LHGlJE5+Tm/ffu27N69W3bs2KGzW11re/z4sfj6+ip3SLx//74cPnxYevfuLRs3bpT69euLpaWllCpVSqpXr66TgZHh4eFSuHBhiYqKUt5np06dkhYtWoihoaHGdKEiaZ0TLVq00JhmLicwSM5BDx48kHbt2mncrKBr167i6emplFEHppMmTZI6derkaI5mTEyMxMfHK7mZ4eHhYmpqqvT+qHXp0kU6dOiQYx/0U6dOSd26dXV+4wSRzNM61PnP6QNlf39/sbe31xg8qSt5mauoLTU1Vbp37y5FihSRXbt2KctE0tJRjI2NRaVS6SR/L6/3Wz1o7v79+3L16lV5/fq1+Pr6So8ePUQk7bPm4OAg1tbWEhwcLCkpKdm6tbrayZMnpVOnTvLjjz8qd1Hs06ePVKhQQcnb0/XJUHJyssaJQfpjumPHDqWXJX2g3KdPH/H19ZXY2Fid1q39PXHnzh2pWLGicqe3qKgoadeunQwfPlwnl0Lzw0j/d7l48aJ069ZNihUrppO0mlq1amU4ufzzzz+lSJEiSnCgDswvXLggRYoUER8fHyW9RFfpXOl7f6OjozVeyydPnii3mE8fKC9btkyCgoKylXbw6tUrqVatmnz99dfy+PFjCQoKkrp164qNjY3Y29vLtGnT5MWLFxIfH6/T75ZXr17JsGHDxMLCQho0aCC9evWSx48fS0JCgnTp0kX69++faX053fGRG548eSI2NjYyatQoOXz4sHTo0EE8PT3Fw8NDbG1tZenSpXLq1CkJDw/X2fsrMTFRmYUm/fiKiIgIady4sVhZWWW4ur5t2zZp166d3Lp1K1t1vwuD5ByQmpqqnFldunRJmjZtKt7e3rJx40b566+/xN7ePkM6Q48ePbJ928p32bx5s3h4eEj58uUlKChIuY/50qVLxdTUVBo1aiSDBg2SHj16iKmpaY7d0U9Nlz242rTTOtIHyul/tHJqhguRvMlVfJfu3btLoUKFlEBZJO29qc6N19UJUV7u94wZM8TNzU15jS9duiTOzs7KHN93796Vli1byvfff5/t4Gn//v3K4NqUlBQJCgqSXr16SVxcnMyfP1/69OkjKpVKVCqVxmXC7FLvi9rvv/8ufn5+4u/vL5MmTVKWp78cqU69iImJydbd7N5V988//6wsv3jxojg7O8vUqVPl+vXrMm7cOKlTp45OZtAQyR8j/d/mzZs3cubMGfn22291Ni/v/PnzNW40JJJ2lcbOzk7jLnsiafmbnp6eYmFhoXHnsewGbh96i/kRI0aIubm5RuqFWnauji5btkwKFiwo5ubm0rp1a+U22gMHDpT69evnaM/tvXv3ZMGCBVK1alVxdnaW7t27i7+/v/j7+yudLJ9CYKxt0aJFUqRIETE3N5ehQ4cq39udOnWSnj17apTN6mub2cnTrVu3pECBAhoz1UREREizZs3Ezs4uQ6Cc3Zs+vQ+D5Byg/sCsXbtW2rdvL97e3mJiYiJlypSRhQsXysaNG8Xe3l6qVKkiffr0kc6dO4upqanOBo5pu3DhghQuXFgmT54sw4YNk0aNGkmdOnWU2yFHRERIy5Ytxd/fXzp06JDjAXJueNdAQXXv2qeaq7h8+XIZPny4fP/997J582Zleffu3aVgwYIyc+ZM2bVrl3z++efSrl07Zb2ufmhya78zGzRXt25dqVu3roikXZYsV66cTJo0SWJjY2Xs2LHSqFGjbE+nmJycLP/73/9EpVJJt27d5NixY5KamipVq1ZV8n6fP38uQUFB8tlnn733xjsfKjIyUlQqlXLZ+eDBg1KwYEHp16+fdO/eXYyMjDR+vHbt2iXNmzeX8uXLZztg+5C609+CNigoSEqVKiWlSpUSKysrneZN5uVI/w+li8vP2t9PU6dOlenTpyupQpMmTZKqVasqVytE0j4LXbt2laNHj4qtrW2GgdnZ9b5bzD98+FAZeL5p0yad1n3p0iVlXm11cBUYGCjdu3fPsbvQaluwYIF88803yglwTg+KzGt37txRUndE0o57w4YNZdSoUTqr4+7du7Ju3ToRSTsB7tKli8yePVsKFiyofN+IpF0pbNasmZQuXTrH85DTY5CcQ06cOCEmJiayePFiuXLlily7dk3q1asn9erVk8WLF8u1a9ekf//+0rp1awkICNDp3YDSu3Dhgvz4448yZswYZdn+/fulVatWUrNmzQyzWOh60vW8lJMDBT9UTucqavvuu++kWLFi0r59e3F1dRVnZ2cl3UAkLQ/ZyspKnJycpGbNmjn2eufWfmc2aK5MmTLy448/SmpqqgQFBYmTk5PY2dnpPFg7d+6cNG7cWGrWrCnffPON7Nq1S1q2bKmcfIr8//lrdeH169eyYMECMTY2lnHjxsm2bduUWQXevHkju3fvFnNzcwkICFCes3XrVp1cjvzQurt37648Z9++fRIWFqbz0eYieTPSPy9Nnz5dSpQoISqVSubOnSupqany4MEDGTRokJQrV07atm0rU6ZMkdq1a0v16tUlISFBGjdu/NY77H2sj7nF/O3bt2XBggU52rt7+fJlGTlypFhYWORKp472CcupU6ckICBAmjVrprMrJPnZixcvlIHO6WfvyK6kpCTp2LGj1KxZUwYPHqwxyHTRokVSoEABjUD5zJkzUrt2bXF1dZWkpKRc6cFnkJxDfv31V3FxcdHo5VLfqtnJyUnjLFvXXybppz3y9/eX4sWLa9yhRuT/B8p169bVuAT/qV02ysmBgh9L17mK2vbu3SufffaZHDt2TETSpgVbtGiRODs7y4ABA5Ryf//9t87uBPUhcmq/3zVorm3btnL9+nWJj4+Xffv2ycaNG3Mkby06OlqWL18u7u7uYmpqKo6OjjrtZcnscmRISIgYGxtLiRIlNHoRRdJOGgoVKqQxaC6rlyOzWnf6k7Kcktsj/XNb+mO/atUqsbe3l7t37yp3Zp01a5aIpM1osnr1avH29hYfHx9p27atkrLn7+8vw4cPF5Gsfa9n9Rbz2s/RtdOnT0unTp2kQoUKOTaLxYc4ceKEGBkZZUhD+tSkpqbKwYMHpXnz5uLn56fz2TuePn2q3LAs/e9UQkJCpoFyZGRkro41YJCcQ5YvXy7ly5dXRvWq31jnz58XMzMzqVixooSGhopIzgSm27dvl19++UV+++038fT0lHLlymVI5zh48KA0aNBA/Pz88jR4zGk5OVDwQ+VErqK29evXi4ODg8ZgxOfPn8vUqVOlWrVqmU6/pct5PDOj6/3+mEFzU6dOzXZ9HyopKUkGDx4sBgYGYmlpqTFlUnalvxy5du1a6dy5syxevFgsLCykT58+Gcrv2bMnww9ObtcdGBiY7bo/RG6M9M9Lhw4dkv79+2uckIwbN04JlNNfCUr/Wf7uu+/EyspK41L5x8jPt5h/9eqVHDlyJE8GZaqpj0+NGjWU/OhP2evXr+XMmTM50rGSlJQkDRo0EHd3d2nUqJEyo4ZI2mu9aNEiKViwYIYJBnILg+Qccu3aNTE2Npbvv/9eY/np06elXr160qlTJ519yHfs2JEhz7ZNmzbKrUE3bNgg9erVk9atW2fIBz1y5Mgn+eOiLScHCn6MnEhvWLRokcyePVv2798vpUuXluPHj2usv3Tpkujr6yv5fHlBl/v9MYPmciM/NX1AsXfvXp2mF6S/HDlo0CDlcmRqaqosXrxYDAwMMuTmiqQdo+zOs56XdVPajB1OTk5SqFAhjYGRImmBsr6+vsydO1cjpScyMlK+/vprcXR0zPLdDPPbLebzq19//VVUKpXO5v7+t8iJjpXXr19LVFSU+Pv7S/369eW3337TWD99+nSxsrLK1lSCWcUgOQf99ttvYmBgICNHjpRbt27J06dP5fvvv5eAgACd5TFFR0eLo6Oj9OzZUyOZvU6dOjJlyhTl8Zo1a6RBgwbSsmXLHBsgSLlPfavUNm3ayJMnT5Qc5PQ3ELl7965Urlw5wzyT/0Z5NWjufXIyTelDLkdmFqz+2+umtLz3MmXKSM2aNTOkFkyYMEFUKpXGTXpE0k7UdNEBkx9uMZ+fXb9+PVcHkP0XqGdDatiwoXKL6zFjxkhAQIAyPVxuY5Ccg1JTU2XVqlViZmYmjo6O4uTkJEWLFtV53lxERIRUr15d+vTpowxiaNy4scZlC5G0+UUbNGgg9evX/yRmsPiv075V6qlTp+TEiRNSpEgR6dChg4SEhMjhw4elcePG4uHhkaM3qMltuT1oLi996OVI7Tt5/tvrpjTnzp0Td3d36dOnT4aUpSVLlijBqS5P1PLDLebpv+nmzZvSunVrcXV1lWrVqomFhYVOp9H8WAySc8GtW7dk69atsmbNmhyb9PrMmTNStWpV6dWrl1y4cEE6dOgg+/fvz1Bu3rx50qVLl/9EisV/hfatUg8cOCDNmjWTzz77TNzc3MTX1zfHbpWal3J60Fx+kpeXI/PzpdD/CvX3e9++fTPtvdR1cJpfbjFP/03379+XxYsXy/jx4/M8dUslIgL6JJw9exb9+vVDxYoVsXHjRlhaWqJ06dJQqVRISkqCgYEBypYtizFjxsDa2jqvm0tZNGPGDKSmpqJDhw6wtbUFACxcuBCDBg3C2bNnUa5cOcTFxeH169eIj4+Hg4MDVCoVkpOTUaBAgTxuve69efMGw4YNw9y5c1GkSBFcv34dhQoVyutm5YibN29i4MCBeP36NQICAtCtWzeMHTsWd+7cwfTp01G0aNFPsm5K+37/8ssvYW9vj8mTJ8PR0VHndYgIVCoVJk6ciG3btuHo0aMwNjbGmzdvYGBggIMHD6J58+bw8vJCv3790LFjR523gSg/YZD8iTlz5gx69OgBPT09VKxYEX5+fnj27BmePHkCAwMDtG7dGi4uLnndTMqihIQEjB8/HiEhIfDw8ICDgwOmTJkCExMT9OnTB4UKFcKsWbNgaGio8bzU1FTo6enlUatzjvpHHQD27duHsmXLwt7ePo9blbNu3bqFb7/9FteuXYOxsTGuXbuGsLAweHl5fdJ1E3Dq1CmEhIRg0aJFOfp5vnDhAqpUqYLvv/8eY8eOVZaHhYVh4cKFePr0KfT09LBjx44M3zVEnxIGyZ+gyMhI9OvXD5UrV8aoUaPg4OCQ100iHbt//z527dqFkJAQvHr1Cp6ennj8+DEAYM2aNTAzM9MIID9l/5X9TO+ff/5BWFgY7t+/jw4dOqB8+fL/ibrp/7/fc/rENzQ0FP369cOgQYPQoUMHFClSBAMHDkTNmjXRunVrVKxYEXv27IGvr2+OtYEorzFI/kSpL82VLl0aY8eORYUKFfK6SZRDFi5ciEuXLmH27NkAgIkTJ2LUqFF53Coiyim5dWK4ceNGfPXVVzA0NISIwNLSEsePH0dMTAwaNWqEDRs2oFKlSjneDqK8wiD5E/bnn39iyJAhWL16NUqWLJnXzSEd0/6h/PPPPzFv3jzExsZi9erVMDc3z8PWEdGn4J9//sG9e/fw5s0b1KpVC3p6ehgxYgS2bNmCgwcPcnwLfdIYJH/iXr9+DWNj47xuBuWSkydPol69etizZw/q1q2b180hok/IpUuX8PPPP2Pnzp3Yt28f3N3d87pJRDnq0xvJQxoYIP93iAi8vLxQpUoV3L59O6+bQ0SfkOTkZCQlJcHS0hKHDx9mgEz/CexJJvqELFiwAP3798e1a9fg5OSU180hok+Mejo4ov8CBslEn5AbN24gMTGR0/wRERFlE4NkIiIiIiItzEkmIiIiItLCIJmIiIiISAuDZCIiIiIiLQySiYiIiIi0MEgmIiIiItLCIJmIiIiISAuDZCIiIiIiLQySiYiIiIi0/D9pot2hHzWUpQAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 3. Top 10 Characters by Number of Dialogues\n",
        "\n",
        "# Ensure that 'lines_df' DataFrame is properly initialized from the movie lines data\n",
        "\n",
        "# Count the number of lines spoken by each character (use 'CharacterName')\n",
        "top_characters = lines_df['CharacterName'].value_counts().head(10)\n",
        "\n",
        "# Bar plot of the top 10 characters by number of lines\n",
        "plt.figure(figsize=(8, 4))\n",
        "sns.barplot(x=top_characters.index, y=top_characters.values, palette='coolwarm')\n",
        "plt.title(\"Top 10 Characters by Number of Dialogues\", fontsize=14)\n",
        "plt.xlabel(\"Character Name\", fontsize=12)\n",
        "plt.ylabel(\"Number of Dialogues\", fontsize=12)\n",
        "plt.xticks(rotation=45)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "T8XYKgPLXe20",
        "outputId": "556af08c-cfac-49e6-cb72-1f2538ee22e0"
      },
      "id": "T8XYKgPLXe20",
      "execution_count": 109,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x400 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 4. Word Cloud of Most Common Words\n",
        "\n",
        "# Generate a word cloud\n",
        "wordcloud = WordCloud(width=800, height=400, background_color='white').generate(' '.join(all_words))\n",
        "\n",
        "# Display the word cloud\n",
        "plt.figure(figsize=(10, 4))\n",
        "plt.imshow(wordcloud, interpolation='bilinear')\n",
        "plt.axis('off')  # Hide axes\n",
        "plt.title(\"Word Cloud of Movie Dialogues After Preprocessing\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 367
        },
        "id": "rMHyoVnyQVRi",
        "outputId": "1104796f-a620-4e80-c9c2-3f64d8e606da"
      },
      "id": "rMHyoVnyQVRi",
      "execution_count": 110,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x400 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 5. Statistics: Average Input and Response Length\n",
        "\n",
        "# Calculate average input and response length\n",
        "avg_input_length = cleaned_dialog_df['input_length'].mean()\n",
        "avg_response_length = cleaned_dialog_df['response_length'].mean()\n",
        "\n",
        "print(f\"Average Input Length (in words): {avg_input_length:.2f}\")\n",
        "print(f\"Average Response Length (in words): {avg_response_length:.2f}\")\n",
        "\n",
        "# Optional: Visualizing Input vs Response Length\n",
        "plt.figure(figsize=(8, 4))\n",
        "sns.scatterplot(x='input_length', y='response_length', data=cleaned_dialog_df, alpha=0.6)\n",
        "plt.title('Input vs. Response Length (in words)')\n",
        "plt.xlabel('Input Length (words)')\n",
        "plt.ylabel('Response Length (words)')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 447
        },
        "id": "9eT4si75QXFY",
        "outputId": "9df9119b-96dc-4730-f508-814663d9ab64"
      },
      "id": "9eT4si75QXFY",
      "execution_count": 111,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Average Input Length (in words): 5.18\n",
            "Average Response Length (in words): 5.38\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x400 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**After preprocessing**, the visuals show a significant improvement in the dataset’s structure and clarity. <br>The distribution of line lengths for both input and response dialogues became more balanced, highlighting <br>consistency after removing unnecessary elements like punctuation and redundant words. The most common <br>words shifted from filler terms to more context-driven ones, such as \"love\" and \"know,\" providing insight into the <br>thematic content of movie dialogues. The word cloud now clearly reflects the core vocabulary, with meaningful <br>words standing out. The bar chart of top characters by dialogue count became more accurate after removing <br>inconsistencies, showcasing the prominence of specific characters in shaping conversations. Overall, the <br>distribution of line lengths post-cleaning is more uniform, improving the quality and readiness of <br>the dataset for training language models."
      ],
      "metadata": {
        "id": "bGB4I8XIQ_Hg"
      },
      "id": "bGB4I8XIQ_Hg"
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Check for Imbalance in the Data\n",
        "Balancing the dataset by addressing **imbalances** in character dialogue count and sentiment is <br>essential to prevent the model from favoring certain characters or dialogue types, ensuring fair <br>representation and diversity in responses."
      ],
      "metadata": {
        "id": "XTezWkFoc_Wr"
      },
      "id": "XTezWkFoc_Wr"
    },
    {
      "cell_type": "code",
      "source": [
        "# 1. Check for imbalance in character dialogue count\n",
        "character_dialogue_counts = lines_df['CharacterName'].value_counts()\n",
        "\n",
        "# Visualize the distribution\n",
        "plt.figure(figsize=(8, 4))\n",
        "sns.histplot(character_dialogue_counts, kde=False, bins=50, color='blue')\n",
        "plt.title('Distribution of Dialogue Count per Character', fontsize=14)\n",
        "plt.xlabel('Number of Dialogues', fontsize=12)\n",
        "plt.ylabel('Frequency of Characters', fontsize=12)\n",
        "plt.show()\n",
        "\n",
        "# Identify any imbalances (characters with significantly more dialogues)\n",
        "print(character_dialogue_counts.describe())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 580
        },
        "id": "jglrVMi_dEVY",
        "outputId": "0a8e86e4-2021-4d4d-a32a-52d07f39b72e"
      },
      "id": "jglrVMi_dEVY",
      "execution_count": 116,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x400 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "count    5356.000000\n",
            "mean       56.891897\n",
            "std       133.209117\n",
            "min         3.000000\n",
            "25%         6.000000\n",
            "50%        15.000000\n",
            "75%        48.000000\n",
            "max      3032.000000\n",
            "Name: count, dtype: float64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Given the large difference in dialogue counts, **correcting the imbalance may not be necessary** for tasks <br>like general chatbot training, where we are more focused on conversation flow. The model can still <br>learn effectively from the dataset even with the imbalance, as long as the task isn't character-specific <br>dialogue generation."
      ],
      "metadata": {
        "id": "1BY-griEggBT"
      },
      "id": "1BY-griEggBT"
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Shuffle Data\n",
        "The purpose of this step is so the model doesn't learn unnecessary sequential patterns by randomizing and avoiding Bias."
      ],
      "metadata": {
        "id": "k8uSyatcg_ak"
      },
      "id": "k8uSyatcg_ak"
    },
    {
      "cell_type": "code",
      "source": [
        "# Shuffle the DataFrame (cleaned_dialog_df)\n",
        "shuffled_data = cleaned_dialog_df.sample(frac=1, random_state=42).reset_index(drop=True)\n",
        "\n",
        "# After shuffling, you can split the data into training, validation, and test sets\n",
        "train_size = 0.8  # 80% for training\n",
        "train_data = shuffled_data[:int(train_size * len(shuffled_data))]\n",
        "val_data = shuffled_data[int(train_size * len(shuffled_data)):]\n",
        "\n",
        "# Optional: if you also want a test set\n",
        "test_size = 0.1  # 10% for testing\n",
        "val_data = shuffled_data[int(train_size * len(shuffled_data)):int((train_size + test_size) * len(shuffled_data))]\n",
        "test_data = shuffled_data[int((train_size + test_size) * len(shuffled_data)):]"
      ],
      "metadata": {
        "id": "ZP922GR9hO7E"
      },
      "id": "ZP922GR9hO7E",
      "execution_count": 125,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Split the Data"
      ],
      "metadata": {
        "id": "NZueUvF0hdWZ"
      },
      "id": "NZueUvF0hdWZ"
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "# Split the data into training, validation, and test sets\n",
        "train_data, temp_data = train_test_split(cleaned_dialog_df, test_size=0.2, random_state=42)  # 80% training\n",
        "val_data, test_data = train_test_split(temp_data, test_size=0.5, random_state=42)  # 10% validation, 10% test\n",
        "\n",
        "# Display the sizes of each set\n",
        "print(f\"Training set size: {len(train_data)}\")\n",
        "print(f\"Validation set size: {len(val_data)}\")\n",
        "print(f\"Test set size: {len(test_data)}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "ft9L3V2Sh7Tt",
        "outputId": "273ae72b-8323-4daf-fb0c-73af0d4d0bd5"
      },
      "id": "ft9L3V2Sh7Tt",
      "execution_count": 126,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training set size: 177025\n",
            "Validation set size: 22128\n",
            "Test set size: 22129\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Model Design and Training"
      ],
      "metadata": {
        "id": "kUyD_k0Mh-BY"
      },
      "id": "kUyD_k0Mh-BY"
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "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": "3.12.4"
    },
    "colab": {
      "provenance": [],
      "machine_shape": "hm",
      "gpuType": "A100"
    },
    "accelerator": "GPU"
  },
  "nbformat": 4,
  "nbformat_minor": 5
}