diff --git a/notebooks/rag/deepseek_r1_rag_pipeline_with_mongodb.ipynb b/notebooks/rag/deepseek_r1_rag_pipeline_with_mongodb.ipynb
new file mode 100644
index 0000000..dd09991
--- /dev/null
+++ b/notebooks/rag/deepseek_r1_rag_pipeline_with_mongodb.ipynb
@@ -0,0 +1,4109 @@
+{
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "ynFM43qnrEJP"
+      },
+      "source": [
+        "# DeepSeek and MongoDB For Movie Recommendatio System\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/mongodb-developer/GenAI-Showcase/blob/main/notebooks/rag/deepseek_r1_rag_pipeline_with_mongodb.ipynb)\n",
+        "\n",
+        "[![View Article](https://img.shields.io/badge/View%20Article-blue)]()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "pw-5v8H_rXOV"
+      },
+      "source": [
+        "## Install Libaries and Set Environment Variables"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "z2cY51m4Wc6K",
+        "outputId": "2608b3d8-7e39-48d8-fd57-eb84f3a709bf"
+      },
+      "outputs": [],
+      "source": [
+        "!pip install --quiet -U pymongo sentence-transformers datasets accelerate"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 2,
+      "metadata": {
+        "id": "reglHoYMrZ3Z"
+      },
+      "outputs": [],
+      "source": [
+        "import os\n",
+        "import getpass\n",
+        "\n",
+        "# Function to securely get and set environment variables\n",
+        "def set_env_securely(var_name, prompt):\n",
+        "  value = getpass.getpass(prompt)\n",
+        "  os.environ[var_name] = value"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "4apT5j46rsfO"
+      },
+      "source": [
+        "## Step 1: Data Loading"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 3,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 113,
+          "referenced_widgets": [
+            "32a6161ea2ea4957829729afa1720584",
+            "599f54303eb74b05aa806c3228a956a7",
+            "2a996a97b6a74fc3b462e2373c901692",
+            "6878311b22b94ae79c4d1700a0c1410e",
+            "a3b2a5214d4d47dcace266a15ee6568d",
+            "cea0e1aa862e4fd7b2c790cef07d175f",
+            "11c88d53c1d4498dafd3b255cb8ee653",
+            "471bd7b9f0cc4a41aad91bd2a0fa0b74",
+            "f4c8b7e7c4eb499f94de9c611e90b663",
+            "dc965db378fe4995bc92d4606541ecc5",
+            "ad9e4414b262401ba1cc088be291de8b",
+            "7137f86efff146cea416da5c637b55ec",
+            "a93bbc80b5f24583b72a710c7e946094",
+            "3769dbbf521843aea1ce4f367484c080",
+            "430b3c93637a4aeb908f82c4812d2897",
+            "bd30390bc99d42bbac96c3c9f8a2858a",
+            "c94a1b82bcb946378b0c8d7c5fd1388f",
+            "8ca9c3dd6b2c42b4abee90b9a3a7b9b2",
+            "d9089aeb40654caeb517ad2f1dc0e733",
+            "5bb0697d0ffb4a0aba9b3bd9b08d3146",
+            "6918f348708943b6b4220c7a2fdd178a",
+            "c76b90bab1f242e8b3402425aeefc0d3",
+            "7e975d28657041058355c18716c5fa48",
+            "d65b9c8d3cbe48f49b764d4cc85f852f",
+            "9bf0a927a8dd4c82bfef900f29e69ce6",
+            "c45f7981bfc64061a113bffddbddce9e",
+            "c13377e46cf146e6a62102cd51710d9f",
+            "c4144e1058e04ee5a87e40cfb7795441",
+            "123a170f4f514bc58ed44b4a21015538",
+            "6c1bd92a1aad4ef6aa47c94c6e3f0898",
+            "708de4722f1b41cda3d321888a3cbfb7",
+            "caec76179d6b467f80ae27ad7ae541e2",
+            "1a299210afc24c06ba25dfee47e60f3d"
+          ]
+        },
+        "id": "hfQERNtFr9T7",
+        "outputId": "fcfef985-2d05-45bd-8c9c-5d6af8e8f2ff"
+      },
+      "outputs": [
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "32a6161ea2ea4957829729afa1720584",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "README.md:   0%|          | 0.00/6.17k [00:00<?, ?B/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "7137f86efff146cea416da5c637b55ec",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "sample_mflix.embedded_movies.json:   0%|          | 0.00/42.3M [00:00<?, ?B/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "7e975d28657041058355c18716c5fa48",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "Generating train split:   0%|          | 0/1500 [00:00<?, ? examples/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "# Load Dataset\n",
+        "from datasets import load_dataset\n",
+        "import pandas as pd\n",
+        "\n",
+        "# https://huggingface.co/datasets/MongoDB/embedded_movies\n",
+        "dataset = load_dataset(\"MongoDB/embedded_movies\")\n",
+        "\n",
+        "# Convert the dataset to a pandas DataFrame\n",
+        "dataset_df = pd.DataFrame(dataset['train'])"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 4,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "MLMQYeqLsBBL",
+        "outputId": "7aafe645-6c2f-4236-ee88-30f61b4a6af2"
+      },
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "\n",
+            "Number of missing values in each column after removal:\n",
+            "plot                    0\n",
+            "runtime                14\n",
+            "genres                  0\n",
+            "fullplot                0\n",
+            "directors              12\n",
+            "writers                13\n",
+            "countries               0\n",
+            "poster                 78\n",
+            "languages               1\n",
+            "cast                    1\n",
+            "title                   0\n",
+            "num_mflix_comments      0\n",
+            "rated                 279\n",
+            "imdb                    0\n",
+            "awards                  0\n",
+            "type                    0\n",
+            "metacritic            893\n",
+            "plot_embedding          1\n",
+            "dtype: int64\n"
+          ]
+        }
+      ],
+      "source": [
+        "# Remove data point where plot column is missing\n",
+        "dataset_df = dataset_df.dropna(subset=['fullplot'])\n",
+        "print(\"\\nNumber of missing values in each column after removal:\")\n",
+        "print(dataset_df.isnull().sum())\n",
+        "\n",
+        "# Remove the plot_embedding from each data point in the dataset as we are going to create new embeddings with an open-source embedding model from Hugging Face: gte-large\n",
+        "dataset_df = dataset_df.drop(columns=['plot_embedding'])"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 24,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 747
+        },
+        "id": "UqUj9A7i4Ed_",
+        "outputId": "453c495b-7c31-43bc-d34d-b8d4d66f01fd"
+      },
+      "outputs": [
+        {
+          "data": {
+            "application/vnd.google.colaboratory.intrinsic+json": {
+              "summary": "{\n  \"name\": \"dataset_df\",\n  \"rows\": 1452,\n  \"fields\": [\n    {\n      \"column\": \"plot\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1409,\n        \"samples\": [\n          \"An undercover cop infiltrates a gang of thieves who plan to rob a jewelry store.\",\n          \"Godzilla saves Tokyo from a flying saucer that transforms into the beast Orga.\",\n          \"Relationships become entangled in an emotional web.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"runtime\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 42.569335235764626,\n        \"min\": 6.0,\n        \"max\": 1256.0,\n        \"num_unique_values\": 137,\n        \"samples\": [\n          60.0,\n          151.0,\n          110.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"genres\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"fullplot\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1409,\n        \"samples\": [\n          \"An undercover cop infiltrates a gang of thieves who plan to rob a jewelry store.\",\n          \"Godzilla returns in a brand-new movie that ignores all preceding movies except for the original with a brand new look and a powered up atomic ray. This time he battles a mysterious UFO that later transforms into a mysterious kaiju dubbed Orga. They meet up for the final showdown in the city of Shinjuku.\",\n          \"Relationships become entangled in an emotional web.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"directors\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"writers\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"countries\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"poster\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1332,\n        \"samples\": [\n          \"https://m.media-amazon.com/images/M/MV5BMTQ2NTMxODEyNV5BMl5BanBnXkFtZTcwMDgxMjA0MQ@@._V1_SY1000_SX677_AL_.jpg\",\n          \"https://m.media-amazon.com/images/M/MV5BMTY5OTg1ODk0MV5BMl5BanBnXkFtZTcwMTEwMjU1MQ@@._V1_SY1000_SX677_AL_.jpg\",\n          \"https://m.media-amazon.com/images/M/MV5BMTMyMjgyMDIyM15BMl5BanBnXkFtZTcwNjg3MjAyMg@@._V1_SY1000_SX677_AL_.jpg\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"languages\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"cast\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1391,\n        \"samples\": [\n          \"Superhero Movie\",\n          \"Hooper\",\n          \"Sivaji\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"num_mflix_comments\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 27,\n        \"min\": 0,\n        \"max\": 158,\n        \"num_unique_values\": 40,\n        \"samples\": [\n          117,\n          134,\n          124\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"rated\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 12,\n        \"samples\": [\n          \"TV-MA\",\n          \"TV-14\",\n          \"TV-G\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"imdb\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"awards\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"type\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"series\",\n          \"movie\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"metacritic\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16.855402595666064,\n        \"min\": 9.0,\n        \"max\": 97.0,\n        \"num_unique_values\": 83,\n        \"samples\": [\n          50.0,\n          97.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"embedding\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}",
+              "type": "dataframe",
+              "variable_name": "dataset_df"
+            },
+            "text/html": [
+              "\n",
+              "  <div id=\"df-89194d2b-f72e-4715-abac-982cfc678a25\" class=\"colab-df-container\">\n",
+              "    <div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>plot</th>\n",
+              "      <th>runtime</th>\n",
+              "      <th>genres</th>\n",
+              "      <th>fullplot</th>\n",
+              "      <th>directors</th>\n",
+              "      <th>writers</th>\n",
+              "      <th>countries</th>\n",
+              "      <th>poster</th>\n",
+              "      <th>languages</th>\n",
+              "      <th>cast</th>\n",
+              "      <th>title</th>\n",
+              "      <th>num_mflix_comments</th>\n",
+              "      <th>rated</th>\n",
+              "      <th>imdb</th>\n",
+              "      <th>awards</th>\n",
+              "      <th>type</th>\n",
+              "      <th>metacritic</th>\n",
+              "      <th>embedding</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>Young Pauline is left a lot of money when her ...</td>\n",
+              "      <td>199.0</td>\n",
+              "      <td>[Action]</td>\n",
+              "      <td>Young Pauline is left a lot of money when her ...</td>\n",
+              "      <td>[Louis J. Gasnier, Donald MacKenzie]</td>\n",
+              "      <td>[Charles W. Goddard (screenplay), Basil Dickey...</td>\n",
+              "      <td>[USA]</td>\n",
+              "      <td>https://m.media-amazon.com/images/M/MV5BMzgxOD...</td>\n",
+              "      <td>[English]</td>\n",
+              "      <td>[Pearl White, Crane Wilbur, Paul Panzer, Edwar...</td>\n",
+              "      <td>The Perils of Pauline</td>\n",
+              "      <td>0</td>\n",
+              "      <td>None</td>\n",
+              "      <td>{'id': 4465, 'rating': 7.6, 'votes': 744}</td>\n",
+              "      <td>{'nominations': 0, 'text': '1 win.', 'wins': 1}</td>\n",
+              "      <td>movie</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>[-0.06366512924432755, 0.05893123149871826, -0...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>A penniless young man tries to save an heiress...</td>\n",
+              "      <td>22.0</td>\n",
+              "      <td>[Comedy, Short, Action]</td>\n",
+              "      <td>As a penniless man worries about how he will m...</td>\n",
+              "      <td>[Alfred J. Goulding, Hal Roach]</td>\n",
+              "      <td>[H.M. Walker (titles)]</td>\n",
+              "      <td>[USA]</td>\n",
+              "      <td>https://m.media-amazon.com/images/M/MV5BNzE1OW...</td>\n",
+              "      <td>[English]</td>\n",
+              "      <td>[Harold Lloyd, Mildred Davis, 'Snub' Pollard, ...</td>\n",
+              "      <td>From Hand to Mouth</td>\n",
+              "      <td>0</td>\n",
+              "      <td>TV-G</td>\n",
+              "      <td>{'id': 10146, 'rating': 7.0, 'votes': 639}</td>\n",
+              "      <td>{'nominations': 1, 'text': '1 nomination.', 'w...</td>\n",
+              "      <td>movie</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>[-0.04760091006755829, -0.008872468955814838, ...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>Michael \"Beau\" Geste leaves England in disgrac...</td>\n",
+              "      <td>101.0</td>\n",
+              "      <td>[Action, Adventure, Drama]</td>\n",
+              "      <td>Michael \"Beau\" Geste leaves England in disgrac...</td>\n",
+              "      <td>[Herbert Brenon]</td>\n",
+              "      <td>[Herbert Brenon (adaptation), John Russell (ad...</td>\n",
+              "      <td>[USA]</td>\n",
+              "      <td>None</td>\n",
+              "      <td>[English]</td>\n",
+              "      <td>[Ronald Colman, Neil Hamilton, Ralph Forbes, A...</td>\n",
+              "      <td>Beau Geste</td>\n",
+              "      <td>0</td>\n",
+              "      <td>None</td>\n",
+              "      <td>{'id': 16634, 'rating': 6.9, 'votes': 222}</td>\n",
+              "      <td>{'nominations': 0, 'text': '1 win.', 'wins': 1}</td>\n",
+              "      <td>movie</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>[0.022996366024017334, 0.10801853239536285, -0...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>Seeking revenge, an athletic young man joins t...</td>\n",
+              "      <td>88.0</td>\n",
+              "      <td>[Adventure, Action]</td>\n",
+              "      <td>A nobleman vows to avenge the death of his fat...</td>\n",
+              "      <td>[Albert Parker]</td>\n",
+              "      <td>[Douglas Fairbanks (story), Jack Cunningham (a...</td>\n",
+              "      <td>[USA]</td>\n",
+              "      <td>https://m.media-amazon.com/images/M/MV5BMzU0ND...</td>\n",
+              "      <td>None</td>\n",
+              "      <td>[Billie Dove, Tempe Pigott, Donald Crisp, Sam ...</td>\n",
+              "      <td>The Black Pirate</td>\n",
+              "      <td>1</td>\n",
+              "      <td>None</td>\n",
+              "      <td>{'id': 16654, 'rating': 7.2, 'votes': 1146}</td>\n",
+              "      <td>{'nominations': 0, 'text': '1 win.', 'wins': 1}</td>\n",
+              "      <td>movie</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>[-0.07819894701242447, 0.11125769466161728, -0...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>An irresponsible young millionaire changes his...</td>\n",
+              "      <td>58.0</td>\n",
+              "      <td>[Action, Comedy, Romance]</td>\n",
+              "      <td>The Uptown Boy, J. Harold Manners (Lloyd) is a...</td>\n",
+              "      <td>[Sam Taylor]</td>\n",
+              "      <td>[Ted Wilde (story), John Grey (story), Clyde B...</td>\n",
+              "      <td>[USA]</td>\n",
+              "      <td>https://m.media-amazon.com/images/M/MV5BMTcxMT...</td>\n",
+              "      <td>[English]</td>\n",
+              "      <td>[Harold Lloyd, Jobyna Ralston, Noah Young, Jim...</td>\n",
+              "      <td>For Heaven's Sake</td>\n",
+              "      <td>0</td>\n",
+              "      <td>PASSED</td>\n",
+              "      <td>{'id': 16895, 'rating': 7.6, 'votes': 918}</td>\n",
+              "      <td>{'nominations': 1, 'text': '1 nomination.', 'w...</td>\n",
+              "      <td>movie</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>[-0.014855025336146355, 0.09593196213245392, -...</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-89194d2b-f72e-4715-abac-982cfc678a25')\"\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-89194d2b-f72e-4715-abac-982cfc678a25 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-89194d2b-f72e-4715-abac-982cfc678a25');\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-a7e9e1b3-87db-4511-9a26-39d2d90b349e\">\n",
+              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-a7e9e1b3-87db-4511-9a26-39d2d90b349e')\"\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-a7e9e1b3-87db-4511-9a26-39d2d90b349e button');\n",
+              "      quickchartButtonEl.style.display =\n",
+              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
+              "    })();\n",
+              "  </script>\n",
+              "</div>\n",
+              "\n",
+              "    </div>\n",
+              "  </div>\n"
+            ],
+            "text/plain": [
+              "                                                plot  runtime  \\\n",
+              "0  Young Pauline is left a lot of money when her ...    199.0   \n",
+              "1  A penniless young man tries to save an heiress...     22.0   \n",
+              "2  Michael \"Beau\" Geste leaves England in disgrac...    101.0   \n",
+              "3  Seeking revenge, an athletic young man joins t...     88.0   \n",
+              "4  An irresponsible young millionaire changes his...     58.0   \n",
+              "\n",
+              "                       genres  \\\n",
+              "0                    [Action]   \n",
+              "1     [Comedy, Short, Action]   \n",
+              "2  [Action, Adventure, Drama]   \n",
+              "3         [Adventure, Action]   \n",
+              "4   [Action, Comedy, Romance]   \n",
+              "\n",
+              "                                            fullplot  \\\n",
+              "0  Young Pauline is left a lot of money when her ...   \n",
+              "1  As a penniless man worries about how he will m...   \n",
+              "2  Michael \"Beau\" Geste leaves England in disgrac...   \n",
+              "3  A nobleman vows to avenge the death of his fat...   \n",
+              "4  The Uptown Boy, J. Harold Manners (Lloyd) is a...   \n",
+              "\n",
+              "                              directors  \\\n",
+              "0  [Louis J. Gasnier, Donald MacKenzie]   \n",
+              "1       [Alfred J. Goulding, Hal Roach]   \n",
+              "2                      [Herbert Brenon]   \n",
+              "3                       [Albert Parker]   \n",
+              "4                          [Sam Taylor]   \n",
+              "\n",
+              "                                             writers countries  \\\n",
+              "0  [Charles W. Goddard (screenplay), Basil Dickey...     [USA]   \n",
+              "1                             [H.M. Walker (titles)]     [USA]   \n",
+              "2  [Herbert Brenon (adaptation), John Russell (ad...     [USA]   \n",
+              "3  [Douglas Fairbanks (story), Jack Cunningham (a...     [USA]   \n",
+              "4  [Ted Wilde (story), John Grey (story), Clyde B...     [USA]   \n",
+              "\n",
+              "                                              poster  languages  \\\n",
+              "0  https://m.media-amazon.com/images/M/MV5BMzgxOD...  [English]   \n",
+              "1  https://m.media-amazon.com/images/M/MV5BNzE1OW...  [English]   \n",
+              "2                                               None  [English]   \n",
+              "3  https://m.media-amazon.com/images/M/MV5BMzU0ND...       None   \n",
+              "4  https://m.media-amazon.com/images/M/MV5BMTcxMT...  [English]   \n",
+              "\n",
+              "                                                cast                  title  \\\n",
+              "0  [Pearl White, Crane Wilbur, Paul Panzer, Edwar...  The Perils of Pauline   \n",
+              "1  [Harold Lloyd, Mildred Davis, 'Snub' Pollard, ...     From Hand to Mouth   \n",
+              "2  [Ronald Colman, Neil Hamilton, Ralph Forbes, A...             Beau Geste   \n",
+              "3  [Billie Dove, Tempe Pigott, Donald Crisp, Sam ...       The Black Pirate   \n",
+              "4  [Harold Lloyd, Jobyna Ralston, Noah Young, Jim...      For Heaven's Sake   \n",
+              "\n",
+              "   num_mflix_comments   rated                                         imdb  \\\n",
+              "0                   0    None    {'id': 4465, 'rating': 7.6, 'votes': 744}   \n",
+              "1                   0    TV-G   {'id': 10146, 'rating': 7.0, 'votes': 639}   \n",
+              "2                   0    None   {'id': 16634, 'rating': 6.9, 'votes': 222}   \n",
+              "3                   1    None  {'id': 16654, 'rating': 7.2, 'votes': 1146}   \n",
+              "4                   0  PASSED   {'id': 16895, 'rating': 7.6, 'votes': 918}   \n",
+              "\n",
+              "                                              awards   type  metacritic  \\\n",
+              "0    {'nominations': 0, 'text': '1 win.', 'wins': 1}  movie         NaN   \n",
+              "1  {'nominations': 1, 'text': '1 nomination.', 'w...  movie         NaN   \n",
+              "2    {'nominations': 0, 'text': '1 win.', 'wins': 1}  movie         NaN   \n",
+              "3    {'nominations': 0, 'text': '1 win.', 'wins': 1}  movie         NaN   \n",
+              "4  {'nominations': 1, 'text': '1 nomination.', 'w...  movie         NaN   \n",
+              "\n",
+              "                                           embedding  \n",
+              "0  [-0.06366512924432755, 0.05893123149871826, -0...  \n",
+              "1  [-0.04760091006755829, -0.008872468955814838, ...  \n",
+              "2  [0.022996366024017334, 0.10801853239536285, -0...  \n",
+              "3  [-0.07819894701242447, 0.11125769466161728, -0...  \n",
+              "4  [-0.014855025336146355, 0.09593196213245392, -...  "
+            ]
+          },
+          "execution_count": 24,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "dataset_df.head()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "0qXXgVE6sE-v"
+      },
+      "source": [
+        "## Step 2: Generating Embeddings"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 55,
+      "metadata": {
+        "id": "xsrBO2QIs5aE"
+      },
+      "outputs": [],
+      "source": [
+        "from sentence_transformers import SentenceTransformer\n",
+        "\n",
+        "# Load the embedding model\n",
+        "embedding_model = SentenceTransformer('sentence-transformers/all-MiniLM-L6-v2')\n",
+        "\n",
+        "# Function to generate embeddings\n",
+        "def generate_embedding(text):\n",
+        "    return embedding_model.encode([text])[0].tolist()"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 6,
+      "metadata": {
+        "id": "rCeBaEJwtPGN"
+      },
+      "outputs": [],
+      "source": [
+        "dataset_df[\"embedding\"] = dataset_df[\"fullplot\"].apply(generate_embedding)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "20L_L9Q5tXPu"
+      },
+      "source": [
+        "## Step 3: MongoDB (Operational and Vector Database)\n",
+        "\n",
+        "MongoDB acts as both an operational and a vector database for the RAG system.\n",
+        "MongoDB Atlas specifically provides a database solution that efficiently stores, queries and retrieves vector embeddings.\n",
+        "\n",
+        "Creating a database and collection within MongoDB is made simple with MongoDB Atlas.\n",
+        "\n",
+        "1. First, register for a [MongoDB Atlas account](https://www.mongodb.com/cloud/atlas/register). For existing users, sign into MongoDB Atlas.\n",
+        "2. [Follow the instructions](https://www.mongodb.com/docs/atlas/tutorial/deploy-free-tier-cluster/). Select Atlas UI as the procedure to deploy your first cluster.\n",
+        "\n",
+        "Follow MongoDB’s [steps to get the connection](https://www.mongodb.com/docs/manual/reference/connection-string/) string from the Atlas UI. After setting up the database and obtaining the Atlas cluster connection URI, securely store the URI within your development environment.\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 7,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "eEKqeQwBtWa5",
+        "outputId": "3d4aa7da-2e7d-4762-afbb-51727807d82b"
+      },
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "Enter your MONGO URI: ··········\n"
+          ]
+        }
+      ],
+      "source": [
+        "# Set MongoDB URI\n",
+        "set_env_securely(\"MONGO_URI\", \"Enter your MONGO URI: \")"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 8,
+      "metadata": {
+        "id": "5wU4XxAste1f"
+      },
+      "outputs": [],
+      "source": [
+        "import pymongo\n",
+        "\n",
+        "def get_mongo_client(mongo_uri):\n",
+        "  \"\"\"Establish and validate connection to the MongoDB.\"\"\"\n",
+        "\n",
+        "  client = pymongo.MongoClient(mongo_uri, appname=\"devrel.showcase.rag.deepseek_rag_movies.python\")\n",
+        "\n",
+        "  # Validate the connection\n",
+        "  ping_result = client.admin.command('ping')\n",
+        "  if ping_result.get('ok') == 1.0:\n",
+        "    # Connection successful\n",
+        "    print(\"Connection to MongoDB successful\")\n",
+        "    return client\n",
+        "  else:\n",
+        "    print(\"Connection to MongoDB failed\")\n",
+        "  return None\n",
+        "\n",
+        "MONGO_URI = os.environ['MONGO_URI']\n",
+        "if not MONGO_URI:\n",
+        "  print(\"MONGO_URI not set in environment variables\")"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 9,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "pvsNoe4MtkWp",
+        "outputId": "1ffaf9a1-8f7f-471e-f6e5-05f9c3590bd5"
+      },
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "Connection to MongoDB successful\n"
+          ]
+        }
+      ],
+      "source": [
+        "mongo_client = get_mongo_client(MONGO_URI)\n",
+        "\n",
+        "DB_NAME = \"movies_database\"\n",
+        "COLLECTION_NAME = \"movies_collection\"\n",
+        "\n",
+        "# Create or get the database\n",
+        "db = mongo_client[DB_NAME]\n",
+        "\n",
+        "# Create or get the collections\n",
+        "collection = db[COLLECTION_NAME]"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 10,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "0XY0lLK9tt_A",
+        "outputId": "51cda56e-74e7-48c5-f6ba-1fa5f8c5a7f2"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/plain": [
+              "DeleteResult({'n': 0, 'electionId': ObjectId('7fffffff000000000000003c'), 'opTime': {'ts': Timestamp(1738352202, 1), 't': 60}, 'ok': 1.0, '$clusterTime': {'clusterTime': Timestamp(1738352202, 1), 'signature': {'hash': b'\\xe4\\xa5\\xe1\\x04\\xcd\\xc6\\xcf\\x8aI\\xe2\\xbd:\\xc5\\xf6\\xa1\\xa1Jk\\xf6\\xea', 'keyId': 7421923411288391683}}, 'operationTime': Timestamp(1738352202, 1)}, acknowledged=True)"
+            ]
+          },
+          "execution_count": 10,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "collection.delete_many({})"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "KU0KJC5etwhN"
+      },
+      "source": [
+        "## Step 4: Data Ingestion"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 11,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "tppOAg0ltwAz",
+        "outputId": "844e4cb8-75e3-4033-99ed-11984c4915c8"
+      },
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "Data ingestion into MongoDB completed\n"
+          ]
+        }
+      ],
+      "source": [
+        "documents = dataset_df.to_dict('records')\n",
+        "collection.insert_many(documents)\n",
+        "\n",
+        "print(\"Data ingestion into MongoDB completed\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "nwMXXMZtt_CJ"
+      },
+      "source": [
+        "## Step 5: Vector Index Creation"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 12,
+      "metadata": {
+        "id": "Jk1I6OqpPx85"
+      },
+      "outputs": [],
+      "source": [
+        "# The field containing the text embeddings on each document within the shipping_data collection\n",
+        "embedding_field_name = \"embedding\"\n",
+        "# MongoDB Atlas Vector Search index name\n",
+        "vector_search_index_name = \"vector_index\""
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 13,
+      "metadata": {
+        "id": "v2NGctXs-g5y"
+      },
+      "outputs": [],
+      "source": [
+        "import time\n",
+        "from pymongo.operations import SearchIndexModel\n",
+        "\n",
+        "def setup_vector_search_index(collection, index_definition, index_name=\"vector_index\"):\n",
+        "  \"\"\"\n",
+        "  Setup a vector search index for a MongoDB collection and wait for 30 seconds.\n",
+        "\n",
+        "  Args:\n",
+        "  collection: MongoDB collection object\n",
+        "  index_definition: Dictionary containing the index definition\n",
+        "  index_name: Name of the index (default: \"vector_index\")\n",
+        "  \"\"\"\n",
+        "  new_vector_search_index_model = SearchIndexModel(\n",
+        "      definition=index_definition,\n",
+        "      name=index_name,\n",
+        "      type=\"vectorSearch\"\n",
+        "  )\n",
+        "\n",
+        "  # Create the new index\n",
+        "  try:\n",
+        "    result = collection.create_search_index(model=new_vector_search_index_model)\n",
+        "    print(f\"Creating index '{index_name}'...\")\n",
+        "\n",
+        "    # Sleep for 30 seconds\n",
+        "    print(f\"Waiting for 30 seconds to allow index '{index_name}' to be created...\")\n",
+        "    time.sleep(30)\n",
+        "\n",
+        "    print(f\"30-second wait completed for index '{index_name}'.\")\n",
+        "    return result\n",
+        "\n",
+        "  except Exception as e:\n",
+        "    print(f\"Error creating new vector search index '{index_name}': {str(e)}\")\n",
+        "    return None"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 14,
+      "metadata": {
+        "id": "lSmEYB61-jma"
+      },
+      "outputs": [],
+      "source": [
+        "def create_vector_index_definition(dimensions):\n",
+        "  return {\n",
+        "    \"fields\": [\n",
+        "      {\n",
+        "        \"type\": \"vector\",\n",
+        "        \"path\": embedding_field_name,\n",
+        "        \"numDimensions\": dimensions,\n",
+        "        \"similarity\": \"cosine\"\n",
+        "      }\n",
+        "    ]\n",
+        "  }"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 15,
+      "metadata": {
+        "id": "bsdaxKp1-ync"
+      },
+      "outputs": [],
+      "source": [
+        "DIMENSIONS = 384\n",
+        "vector_index_definition = create_vector_index_definition(dimensions=DIMENSIONS)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 16,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 0
+        },
+        "id": "qH7cyEat-0EG",
+        "outputId": "5337f4fd-893d-46aa-add7-f04d6be3fb00"
+      },
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "Creating index 'vector_index'...\n",
+            "Waiting for 30 seconds to allow index 'vector_index' to be created...\n",
+            "30-second wait completed for index 'vector_index'.\n"
+          ]
+        },
+        {
+          "data": {
+            "application/vnd.google.colaboratory.intrinsic+json": {
+              "type": "string"
+            },
+            "text/plain": [
+              "'vector_index'"
+            ]
+          },
+          "execution_count": 16,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "setup_vector_search_index(collection, vector_index_definition, \"vector_index\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "wwT2yKe1vbEH"
+      },
+      "source": [
+        "## Step 6: Vector Search Function"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 48,
+      "metadata": {
+        "id": "y4Oo-hzMvZlU"
+      },
+      "outputs": [],
+      "source": [
+        "def vector_search(user_query, top_k=150):\n",
+        "    \"\"\"\n",
+        "    Perform a vector search in the MongoDB collection based on the user query.\n",
+        "\n",
+        "    Args:\n",
+        "    user_query (str): The user's query string.\n",
+        "    collection (MongoCollection): The MongoDB collection to search.\n",
+        "\n",
+        "    Returns:\n",
+        "    list: A list of matching documents.\n",
+        "    \"\"\"\n",
+        "\n",
+        "    # Generate embedding for the user query\n",
+        "    query_embedding = generate_embedding(user_query)\n",
+        "\n",
+        "    if query_embedding is None:\n",
+        "        return \"Invalid query or embedding generation failed.\"\n",
+        "\n",
+        "    # Define the vector search pipeline\n",
+        "    vector_search_stage = {\n",
+        "      \"$vectorSearch\": {\n",
+        "        \"index\": \"vector_index\",\n",
+        "        \"queryVector\": query_embedding,\n",
+        "        \"path\": \"embedding\",\n",
+        "        \"numCandidates\": top_k,  # Number of candidate matches to consider\n",
+        "        \"limit\": 5,  # Return top 4 matches\n",
+        "      }\n",
+        "    }\n",
+        "\n",
+        "    project_stage = {\n",
+        "      \"$project\": {\n",
+        "        \"_id\": 0,  # Exclude the _id field\n",
+        "        \"fullplot\": 1,  # Include the plot field\n",
+        "        \"title\": 1,  # Include the title field\n",
+        "        \"genres\": 1,  # Include the genres field\n",
+        "        \"score\": {\n",
+        "            \"$meta\": \"vectorSearchScore\"  # Include the search score\n",
+        "        },\n",
+        "      }\n",
+        "    }\n",
+        "\n",
+        "    pipeline = [vector_search_stage, project_stage]\n",
+        "\n",
+        "    # Execute the search\n",
+        "    results = collection.aggregate(pipeline)\n",
+        "    return list(results)\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "RRPBlajEwW4j"
+      },
+      "source": [
+        "## Step 7: Semantic Search"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 44,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "XoOFWgvcwawY",
+        "outputId": "f751ddd4-fe99-4eae-eea1-8e44bc65c2a9"
+      },
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "\n",
+            "Top 5 results for query 'What are the some interesting action movies to watch that include business?':\n",
+            "Title: Shanghai Express, Score: 0.7532\n",
+            "Title: Grindhouse, Score: 0.7137\n",
+            "Title: Crime Story, Score: 0.7058\n",
+            "Title: The Accidental Spy, Score: 0.6996\n",
+            "Title: Hand Gun, Score: 0.6962\n"
+          ]
+        }
+      ],
+      "source": [
+        "import pprint\n",
+        "\n",
+        "query = \"What are the some interesting action movies to watch that include business?\"\n",
+        "\n",
+        "get_knowledge = vector_search(query)\n",
+        "\n",
+        "pd.DataFrame(get_knowledge).head()\n",
+        "\n",
+        "print(f\"\\nTop 5 results for query '{query}':\")\n",
+        "\n",
+        "for result in get_knowledge:\n",
+        "  print(f\"Title: {result['title']}, Score: {result['score']:.4f}\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "wqlDbbbHw8LJ"
+      },
+      "source": [
+        "## Step 8: Retrieval Augmented Generation(RA)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "ntQVOSTyw_Z0"
+      },
+      "source": [
+        "Load DeepSeek model from Hugging Face"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 646,
+          "referenced_widgets": [
+            "2c3a0dd6a1eb438dbcd46297053c1617",
+            "0d0f70ea26984ad0b341292a89ca1ae9",
+            "957f5f1c63c3466e8731a2ef1a8b0964",
+            "50bac768ece44a02aaaf1e1df81cd340",
+            "685344b8731f4614b104daeecb506349",
+            "f77f228befc04fd286740c8e4008b0e3",
+            "a648eaa1a4f64a6997f085c7834eeaf7",
+            "26a980725fdb487f8e3d0415cbf607d7",
+            "0d991641826e4451a5ebdb4329f3cbe3",
+            "0f8c1a06cb9743bc8ac77616cd82fa9c",
+            "c5c7ee3f1f2340c380e7050c41926f5d",
+            "bf912b2aad0d4b0e9fbd15b82e7577a2",
+            "1822d15a82044cc690b9ac8e27901c26",
+            "7bff5ad84946419c9ba73cf860534d60",
+            "b6456756effd4047b1fedfdbd4bbf539",
+            "6b973cb0594a432cba4ea6f6adea5a19",
+            "756df8b5de2c443e8e5db0b16fbd4a1f",
+            "69894e27dab8404dbdc8d9ed2d82ac94",
+            "0d8a7b4909114d269acf1df8c14c7000",
+            "eb9515b9e492476e97f1ac02bc5ded8c",
+            "a02309a17f604f17a23521bc0f5cdd35",
+            "ebc9c48a0c054ed780ef5384c63544e4",
+            "8c43cc01031b4da88ab2a12f16c9aff0",
+            "93aad82624944342a250a980bd39e64d",
+            "e578633949794b72b497fa20ad3e1ec4",
+            "1c447ae3914e4ef38c4a1d368595eb60",
+            "f62f85e997be42a09e9fcb1dfd6084b5",
+            "529faa51648a4bdc967049ab75c67955",
+            "2e135d23dfda40b5b1a0b09ec9e63b31",
+            "e533b9b0a52447a1921c2c6a2a831da2",
+            "5c0bac7a6fef40189972fc6cea95fa29",
+            "52178876a7864fd4beb9bee548766c24",
+            "dbcc51dcc3064c8d8269d3b4031d5a3c",
+            "33a065062f134c0d975262bc6c7e5727",
+            "491c140d231842b79a854a0311311990",
+            "2778883ff60e43798fcf7515007dd890",
+            "222e9dc70dea4916adca90fbdb86ae00",
+            "68e099a39f4e4abcb2f9e8fdc0884f11",
+            "2fab42c58ad845c5b66f0262e22fa8d4",
+            "ed113bf3772c41e0a72891e524d7bc6f",
+            "b2d4a4d6af984fc28c7a4e9a67b7a5d0",
+            "b895f5fc35c3446e96e2a2637fb89127",
+            "5eccc99196c94c52af0757d28c09090e",
+            "34d42ac742a2473bb7c52a7557a36e39",
+            "5fed7972422e49d992b564afa6bd4e44",
+            "8e543fd471c74ba2a386c25d79f530d0",
+            "36a6233658a54bec98670da58c6a1695",
+            "c85e9694cdee437892bdfbdffdbf3788",
+            "409308c8506e45b2a00ee2dcc74152f1",
+            "0c77052a694f45a49a88e6ac190ce45e",
+            "404bdac883a948a89b40520a27ca487e",
+            "f0c1200a87f74ea88d3ce36ecfc99014",
+            "214fc2ffd406429a9103d1e27b3985cb",
+            "1d8f25114ad741ca85745d066b7d2495",
+            "d77491778334421684b67d1db2ea29f9"
+          ]
+        },
+        "id": "PUL9xWXqXGtP",
+        "outputId": "b99f5da7-9c0d-48f7-eb22-ef001b5553fb"
+      },
+      "outputs": [],
+      "source": [
+        "# Load model directly\n",
+        "from transformers import AutoTokenizer, AutoModelForCausalLM\n",
+        "\n",
+        "tokenizer = AutoTokenizer.from_pretrained(\"deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B\", device_map=\"cuda\")\n",
+        "model = AutoModelForCausalLM.from_pretrained(\"deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B\")\n",
+        "\n",
+        "model.to(\"cuda\")"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 66,
+      "metadata": {
+        "id": "7esYaWvXXVF1"
+      },
+      "outputs": [],
+      "source": [
+        "def rag_query(query):\n",
+        "  query = \"What are the some interesting action movies to watch that include business?\"\n",
+        "\n",
+        "  get_knowledge = vector_search(query)\n",
+        "\n",
+        "  combined_information = f\"Query: {query}\\nContinue to answer the query by using the Search Results:\\n{get_knowledge}.\"\n",
+        "\n",
+        "  # Moving tensors to GPU\n",
+        "  input_ids = tokenizer(combined_information, return_tensors=\"pt\").to(\"cuda\")\n",
+        "  response = model.generate(**input_ids, max_new_tokens=1000)\n",
+        "\n",
+        "  return tokenizer.decode(response[0], skip_special_tokens=False)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 67,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "TxqotBLf2zVj",
+        "outputId": "d63d018a-3846-4262-c38d-0948c21b9cec"
+      },
+      "outputs": [
+        {
+          "name": "stderr",
+          "output_type": "stream",
+          "text": [
+            "Setting `pad_token_id` to `eos_token_id`:151643 for open-end generation.\n"
+          ]
+        },
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "<｜begin▁of▁sentence｜>Query: What are the some interesting action movies to watch that include business?\n",
+            "Continue to answer the query by using the Search Results:\n",
+            "[{'genres': ['Action', 'Comedy', 'Western'], 'fullplot': \"Multi-genre flick (western, martial arts, comedy, adventure, etc.) with an all-star cast about a man who returns to his home town, buys everything in sight, and tries to improve its municipal (and his personal) profits by sabotaging a train so the passengers all have to stop in his town and spend lots o' money! Throw in various subplots involving some Japanese swordsmen, some bungling bankrobbers (one of whom is the head of security), and a gang of no-goods who try to mess up the town.\", 'title': 'Shanghai Express', 'score': 0.7531864643096924}, {'genres': ['Action', 'Horror', 'Thriller'], 'fullplot': 'A double-bill of thrillers that recall both filmmakers\\' favorite exploitation films. \"Grindhouse\" (a downtown movie theater in disrepair since its glory days as a movie palace known for \"grinding out\" non-stop double-bill programs of B-movies) is presented as one full-length feature comprised of two individual films helmed separately by each director. \"Death Proof,\" is a rip-roaring slasher flick where the killer pursues his victims with a car rather than a knife, while \"Planet Terror\" shows us a view of the world in the midst of a zombie outbreak. The films are joined together by clever faux trailers that recall the \\'50s exploitation drive-in classics.', 'title': 'Grindhouse', 'score': 0.713742733001709}, {'genres': ['Action', 'Crime', 'Drama'], 'fullplot': \"A dark and handsome true-crime thriller about kidnapping and police corruption in Hong Kong. Once of Jackie Chan's most serious roles, but still overflowing with spectacular acrobatic sequences.\", 'title': 'Crime Story', 'score': 0.7057880163192749}, {'genres': ['Action', 'Comedy', 'Thriller'], 'fullplot': 'This action movie unfolds with the story of Bei, a salesman at a workout equipment store, who harbors dreams of adventures. It all starts when on one normal dull day, Bei follows his instincts to trail two suspicious looking men into an alley. When he realizes that these men are robbing a jewelry store, he jumps into action to foil their plans. Soon after Bei meets Liu, a private investigator who convinces Bei that he may be the long-lost son of a rich Korean businessman. In no time, Bei is on his way to fulfill his dreams of adventure and fortune travelling to Korea and even exotic Turkey. As Bei is drawn deeper into the game of cat and mouse, he realizes he has become the key to locating a lung cancer virus. With an assortment of characters fighting him along the way, will Bei succeed in finding the virus himself?', 'title': 'The Accidental Spy', 'score': 0.6996449828147888}, {'genres': ['Action', 'Crime', 'Thriller'], 'fullplot': \"It's _The Good, the Bad and the Ugly (1966)_ meets Simple Men (1992). George is a small-time crook. His brother Michael makes a living scamming the elderly by selling them nonexistent burial plots. When their father steals half a million dollars, the brothers find themselves on the run from the police and a local crime boss. But when Dad is killed, George and Michael have to team up to find the hidden loot. fix it to look like this: It's _Buono, il brutto, il cattivo, Il (1966)_ meets Simple Men (1992). George is a small-time crook. His brother Michael makes a living scamming the elderly by selling them nonexistent burial plots. When their father steals half a million dollars, the brothers find themselves on the run from the police and a local crime boss. But when Dad is killed, George and Michael have to team up to find the hidden loot.\", 'title': 'Hand Gun', 'score': 0.6962246894836426}]. The Search Results: 10 results. First result: 10 results. First result has 10 entries. The first result is a list of 10 search results, each being a dictionary with 'genres', 'fullplot', 'title', and 'score' keys.\n",
+            "\n",
+            "The second result is a list of 10 search results, each being a dictionary with 'genres', 'fullplot', 'title', and 'score' keys.\n",
+            "\n",
+            "The third result is a list of 10 search results, each being a dictionary with 'genres', 'fullplot', 'title', and 'score' keys.\n",
+            "\n",
+            "The fourth result is a list of 10 search results, each being a dictionary with 'genres', 'fullplot', 'title', and 'score' keys.\n",
+            "\n",
+            "The fifth result is a list of 10 search results, each being a dictionary with 'genres', 'fullplot', 'title', and 'score' keys.\n",
+            "\n",
+            "The sixth result is a list of 10 search results, each being a dictionary with 'genres', 'fullplot', 'title', and 'score' keys.\n",
+            "\n",
+            "The seventh result is a list of 10 search results, each being a dictionary with 'genres', 'fullplot', 'title', and 'score' keys.\n",
+            "\n",
+            "The eighth result is a list of 10 search results, each being a dictionary with 'genres', 'fullplot', 'title', and 'score' keys.\n",
+            "\n",
+            "The ninth result is a list of 10 search results, each being a dictionary with 'genres', 'fullplot', 'title', and 'score' keys.\n",
+            "\n",
+            "The tenth result is a list of 10 search results, each being a dictionary with 'genres', 'fullplot', 'title', and 'score' keys.\n",
+            "\n",
+            "So, the user is looking for some interesting action movies that include business. They probably want to watch something that's both thrilling and has a business aspect, maybe something that combines both elements.\n",
+            "\n",
+            "Looking at the genres, the user wants to include business. So, the genres that involve business would be Action, Business, Crime, etc. Looking at the genres in the results, Action is present in several, and Business is also present in a few.\n",
+            "\n",
+            "So, the user probably wants to watch an action movie that also deals with business-related topics, maybe business-related plot points, or business-related characters.\n",
+            "\n",
+            "Looking at the titles, some of them are \"Shanghai Express\", \"Grindhouse\", \"Crime Story\", \"The Accidental Spy\", \"Hand Gun\". None of these are business-related, so perhaps the user wants to watch an action movie with a business twist.\n",
+            "\n",
+            "Wait, maybe the user is looking for an action movie that also has a business component, like a business-related plot or character. So, perhaps the genres should include Action, Business, and another category.\n",
+            "\n",
+            "Looking at the results, \"The Good, the Bad and the Ugly\" is a crime thriller, and \"Fix it\" is a crime thriller as well. So, perhaps the user is looking for a crime thriller that has a business twist.\n",
+            "\n",
+            "Looking at \"The Good, the Bad and the Ugly\" and \"Fix it\", both are crime thrillers. \"The Good, the Bad and the Ugly\" is 1966, \"Fix it\" is 1992. Both are crime thrillers, but \"Fix it\" is a bit more of a crime thriller with a business element. The title is \"Fix it, il brutto, il cattivo, Il (1966)\", which seems to be a crime thriller with a mix of business and crime elements.\n",
+            "\n",
+            "Alternatively, looking at \"Hand Gun\", which is a crime thriller, but it's a bit of a different story.\n",
+            "\n",
+            "Looking back at the movies:\n",
+            "\n",
+            "- \"The Good, the Bad and the Ugly\": A crime thriller where the main character is a crook, and the brothers are trying to fix something, maybe a business issue. The title is \"Fix it, il brutto, il cattivo, Il (1966)\".\n",
+            "\n",
+            "- \"Hand Gun\": Another crime thriller, but it's more of a psychological thriller. The title is \"Hand Gun\", which is 1966.\n",
+            "\n",
+            "So, \"The Good, the Bad and the Ugly\" seems like a better fit because it's a crime thriller with a business element, perhaps in the sense that the main character is involved in a business-related plot.\n",
+            "\n",
+            "Alternatively, maybe \"The Accidental Spy\" is an action movie with a business twist. Let me check its genre. \"The Accidental Spy\" is Action, Comedy, Thriller. So, it's more of an action-comedy-thriller.\n",
+            "\n",
+            "But the user is looking for an action movie that includes business. So, perhaps \"The Good, the Bad and the Ugly\" is a better fit\n"
+          ]
+        }
+      ],
+      "source": [
+        "print(rag_query(\"What's a romantic movie that I can watch with my wife? Make your response concise\"))"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "KBopOAHKA2uf"
+      },
+      "outputs": [],
+      "source": []
+    }
+  ],
+  "metadata": {
+    "accelerator": "GPU",
+    "colab": {
+      "collapsed_sections": [
+        "pw-5v8H_rXOV",
+        "4apT5j46rsfO",
+        "20L_L9Q5tXPu",
+        "KU0KJC5etwhN",
+        "nwMXXMZtt_CJ"
+      ],
+      "gpuType": "T4",
+      "machine_shape": "hm",
+      "provenance": []
+    },
+    "kernelspec": {
+      "display_name": "Python 3",
+      "name": "python3"
+    },
+    "language_info": {
+      "name": "python"
+    },
+    "widgets": {
+      "application/vnd.jupyter.widget-state+json": {
+        "0c77052a694f45a49a88e6ac190ce45e": {
+          "model_module": "@jupyter-widgets/base",
+          "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/base",
+            "_model_module_version": "1.2.0",
+            "_model_name": "LayoutModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "LayoutView",
+            "align_content": null,
+            "align_items": null,
+            "align_self": null,
+            "border": null,
+            "bottom": null,
+            "display": null,
+            "flex": null,
+            "flex_flow": null,
+            "grid_area": null,
+            "grid_auto_columns": null,
+            "grid_auto_flow": null,
+            "grid_auto_rows": null,
+            "grid_column": null,
+            "grid_gap": null,
+            "grid_row": null,
+            "grid_template_areas": null,
+            "grid_template_columns": null,
+            "grid_template_rows": null,
+            "height": null,
+            "justify_content": null,
+            "justify_items": null,
+            "left": null,
+            "margin": null,
+            "max_height": null,
+            "max_width": null,
+            "min_height": null,
+            "min_width": null,
+            "object_fit": null,
+            "object_position": null,
+            "order": null,
+            "overflow": null,
+            "overflow_x": null,
+            "overflow_y": null,
+            "padding": null,
+            "right": null,
+            "top": null,
+            "visibility": null,
+            "width": null
+          }
+        },
+        "0d0f70ea26984ad0b341292a89ca1ae9": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "HTMLModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "HTMLModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/controls",
+            "_view_module_version": "1.5.0",
+            "_view_name": "HTMLView",
+            "description": "",
+            "description_tooltip": null,
+            "layout": "IPY_MODEL_f77f228befc04fd286740c8e4008b0e3",
+            "placeholder": "​",
+            "style": "IPY_MODEL_a648eaa1a4f64a6997f085c7834eeaf7",
+            "value": "tokenizer_config.json: 100%"
+          }
+        },
+        "0d8a7b4909114d269acf1df8c14c7000": {
+          "model_module": "@jupyter-widgets/base",
+          "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/base",
+            "_model_module_version": "1.2.0",
+            "_model_name": "LayoutModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "LayoutView",
+            "align_content": null,
+            "align_items": null,
+            "align_self": null,
+            "border": null,
+            "bottom": null,
+            "display": null,
+            "flex": null,
+            "flex_flow": null,
+            "grid_area": null,
+            "grid_auto_columns": null,
+            "grid_auto_flow": null,
+            "grid_auto_rows": null,
+            "grid_column": null,
+            "grid_gap": null,
+            "grid_row": null,
+            "grid_template_areas": null,
+            "grid_template_columns": null,
+            "grid_template_rows": null,
+            "height": null,
+            "justify_content": null,
+            "justify_items": null,
+            "left": null,
+            "margin": null,
+            "max_height": null,
+            "max_width": null,
+            "min_height": null,
+            "min_width": null,
+            "object_fit": null,
+            "object_position": null,
+            "order": null,
+            "overflow": null,
+            "overflow_x": null,
+            "overflow_y": null,
+            "padding": null,
+            "right": null,
+            "top": null,
+            "visibility": null,
+            "width": null
+          }
+        },
+        "0d991641826e4451a5ebdb4329f3cbe3": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "ProgressStyleModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "ProgressStyleModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "StyleView",
+            "bar_color": null,
+            "description_width": ""
+          }
+        },
+        "0f8c1a06cb9743bc8ac77616cd82fa9c": {
+          "model_module": "@jupyter-widgets/base",
+          "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/base",
+            "_model_module_version": "1.2.0",
+            "_model_name": "LayoutModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "LayoutView",
+            "align_content": null,
+            "align_items": null,
+            "align_self": null,
+            "border": null,
+            "bottom": null,
+            "display": null,
+            "flex": null,
+            "flex_flow": null,
+            "grid_area": null,
+            "grid_auto_columns": null,
+            "grid_auto_flow": null,
+            "grid_auto_rows": null,
+            "grid_column": null,
+            "grid_gap": null,
+            "grid_row": null,
+            "grid_template_areas": null,
+            "grid_template_columns": null,
+            "grid_template_rows": null,
+            "height": null,
+            "justify_content": null,
+            "justify_items": null,
+            "left": null,
+            "margin": null,
+            "max_height": null,
+            "max_width": null,
+            "min_height": null,
+            "min_width": null,
+            "object_fit": null,
+            "object_position": null,
+            "order": null,
+            "overflow": null,
+            "overflow_x": null,
+            "overflow_y": null,
+            "padding": null,
+            "right": null,
+            "top": null,
+            "visibility": null,
+            "width": null
+          }
+        },
+        "11c88d53c1d4498dafd3b255cb8ee653": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "DescriptionStyleModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "DescriptionStyleModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "StyleView",
+            "description_width": ""
+          }
+        },
+        "123a170f4f514bc58ed44b4a21015538": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "DescriptionStyleModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "DescriptionStyleModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "StyleView",
+            "description_width": ""
+          }
+        },
+        "1822d15a82044cc690b9ac8e27901c26": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "HTMLModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "HTMLModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/controls",
+            "_view_module_version": "1.5.0",
+            "_view_name": "HTMLView",
+            "description": "",
+            "description_tooltip": null,
+            "layout": "IPY_MODEL_756df8b5de2c443e8e5db0b16fbd4a1f",
+            "placeholder": "​",
+            "style": "IPY_MODEL_69894e27dab8404dbdc8d9ed2d82ac94",
+            "value": "tokenizer.json: 100%"
+          }
+        },
+        "1a299210afc24c06ba25dfee47e60f3d": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "DescriptionStyleModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "DescriptionStyleModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "StyleView",
+            "description_width": ""
+          }
+        },
+        "1c447ae3914e4ef38c4a1d368595eb60": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "HTMLModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "HTMLModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/controls",
+            "_view_module_version": "1.5.0",
+            "_view_name": "HTMLView",
+            "description": "",
+            "description_tooltip": null,
+            "layout": "IPY_MODEL_52178876a7864fd4beb9bee548766c24",
+            "placeholder": "​",
+            "style": "IPY_MODEL_dbcc51dcc3064c8d8269d3b4031d5a3c",
+            "value": " 679/679 [00:00&lt;00:00, 59.9kB/s]"
+          }
+        },
+        "1d8f25114ad741ca85745d066b7d2495": {
+          "model_module": "@jupyter-widgets/base",
+          "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/base",
+            "_model_module_version": "1.2.0",
+            "_model_name": "LayoutModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "LayoutView",
+            "align_content": null,
+            "align_items": null,
+            "align_self": null,
+            "border": null,
+            "bottom": null,
+            "display": null,
+            "flex": null,
+            "flex_flow": null,
+            "grid_area": null,
+            "grid_auto_columns": null,
+            "grid_auto_flow": null,
+            "grid_auto_rows": null,
+            "grid_column": null,
+            "grid_gap": null,
+            "grid_row": null,
+            "grid_template_areas": null,
+            "grid_template_columns": null,
+            "grid_template_rows": null,
+            "height": null,
+            "justify_content": null,
+            "justify_items": null,
+            "left": null,
+            "margin": null,
+            "max_height": null,
+            "max_width": null,
+            "min_height": null,
+            "min_width": null,
+            "object_fit": null,
+            "object_position": null,
+            "order": null,
+            "overflow": null,
+            "overflow_x": null,
+            "overflow_y": null,
+            "padding": null,
+            "right": null,
+            "top": null,
+            "visibility": null,
+            "width": null
+          }
+        },
+        "214fc2ffd406429a9103d1e27b3985cb": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "ProgressStyleModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "ProgressStyleModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "StyleView",
+            "bar_color": null,
+            "description_width": ""
+          }
+        },
+        "222e9dc70dea4916adca90fbdb86ae00": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "HTMLModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "HTMLModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/controls",
+            "_view_module_version": "1.5.0",
+            "_view_name": "HTMLView",
+            "description": "",
+            "description_tooltip": null,
+            "layout": "IPY_MODEL_5eccc99196c94c52af0757d28c09090e",
+            "placeholder": "​",
+            "style": "IPY_MODEL_34d42ac742a2473bb7c52a7557a36e39",
+            "value": " 3.55G/3.55G [01:24&lt;00:00, 42.7MB/s]"
+          }
+        },
+        "26a980725fdb487f8e3d0415cbf607d7": {
+          "model_module": "@jupyter-widgets/base",
+          "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/base",
+            "_model_module_version": "1.2.0",
+            "_model_name": "LayoutModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "LayoutView",
+            "align_content": null,
+            "align_items": null,
+            "align_self": null,
+            "border": null,
+            "bottom": null,
+            "display": null,
+            "flex": null,
+            "flex_flow": null,
+            "grid_area": null,
+            "grid_auto_columns": null,
+            "grid_auto_flow": null,
+            "grid_auto_rows": null,
+            "grid_column": null,
+            "grid_gap": null,
+            "grid_row": null,
+            "grid_template_areas": null,
+            "grid_template_columns": null,
+            "grid_template_rows": null,
+            "height": null,
+            "justify_content": null,
+            "justify_items": null,
+            "left": null,
+            "margin": null,
+            "max_height": null,
+            "max_width": null,
+            "min_height": null,
+            "min_width": null,
+            "object_fit": null,
+            "object_position": null,
+            "order": null,
+            "overflow": null,
+            "overflow_x": null,
+            "overflow_y": null,
+            "padding": null,
+            "right": null,
+            "top": null,
+            "visibility": null,
+            "width": null
+          }
+        },
+        "2778883ff60e43798fcf7515007dd890": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "FloatProgressModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "FloatProgressModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/controls",
+            "_view_module_version": "1.5.0",
+            "_view_name": "ProgressView",
+            "bar_style": "success",
+            "description": "",
+            "description_tooltip": null,
+            "layout": "IPY_MODEL_b2d4a4d6af984fc28c7a4e9a67b7a5d0",
+            "max": 3554214621,
+            "min": 0,
+            "orientation": "horizontal",
+            "style": "IPY_MODEL_b895f5fc35c3446e96e2a2637fb89127",
+            "value": 3554214621
+          }
+        },
+        "2a996a97b6a74fc3b462e2373c901692": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "FloatProgressModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "FloatProgressModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/controls",
+            "_view_module_version": "1.5.0",
+            "_view_name": "ProgressView",
+            "bar_style": "success",
+            "description": "",
+            "description_tooltip": null,
+            "layout": "IPY_MODEL_471bd7b9f0cc4a41aad91bd2a0fa0b74",
+            "max": 6172,
+            "min": 0,
+            "orientation": "horizontal",
+            "style": "IPY_MODEL_f4c8b7e7c4eb499f94de9c611e90b663",
+            "value": 6172
+          }
+        },
+        "2c3a0dd6a1eb438dbcd46297053c1617": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "HBoxModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "HBoxModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/controls",
+            "_view_module_version": "1.5.0",
+            "_view_name": "HBoxView",
+            "box_style": "",
+            "children": [
+              "IPY_MODEL_0d0f70ea26984ad0b341292a89ca1ae9",
+              "IPY_MODEL_957f5f1c63c3466e8731a2ef1a8b0964",
+              "IPY_MODEL_50bac768ece44a02aaaf1e1df81cd340"
+            ],
+            "layout": "IPY_MODEL_685344b8731f4614b104daeecb506349"
+          }
+        },
+        "2e135d23dfda40b5b1a0b09ec9e63b31": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "DescriptionStyleModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "DescriptionStyleModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "StyleView",
+            "description_width": ""
+          }
+        },
+        "2fab42c58ad845c5b66f0262e22fa8d4": {
+          "model_module": "@jupyter-widgets/base",
+          "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/base",
+            "_model_module_version": "1.2.0",
+            "_model_name": "LayoutModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "LayoutView",
+            "align_content": null,
+            "align_items": null,
+            "align_self": null,
+            "border": null,
+            "bottom": null,
+            "display": null,
+            "flex": null,
+            "flex_flow": null,
+            "grid_area": null,
+            "grid_auto_columns": null,
+            "grid_auto_flow": null,
+            "grid_auto_rows": null,
+            "grid_column": null,
+            "grid_gap": null,
+            "grid_row": null,
+            "grid_template_areas": null,
+            "grid_template_columns": null,
+            "grid_template_rows": null,
+            "height": null,
+            "justify_content": null,
+            "justify_items": null,
+            "left": null,
+            "margin": null,
+            "max_height": null,
+            "max_width": null,
+            "min_height": null,
+            "min_width": null,
+            "object_fit": null,
+            "object_position": null,
+            "order": null,
+            "overflow": null,
+            "overflow_x": null,
+            "overflow_y": null,
+            "padding": null,
+            "right": null,
+            "top": null,
+            "visibility": null,
+            "width": null
+          }
+        },
+        "32a6161ea2ea4957829729afa1720584": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "HBoxModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "HBoxModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/controls",
+            "_view_module_version": "1.5.0",
+            "_view_name": "HBoxView",
+            "box_style": "",
+            "children": [
+              "IPY_MODEL_599f54303eb74b05aa806c3228a956a7",
+              "IPY_MODEL_2a996a97b6a74fc3b462e2373c901692",
+              "IPY_MODEL_6878311b22b94ae79c4d1700a0c1410e"
+            ],
+            "layout": "IPY_MODEL_a3b2a5214d4d47dcace266a15ee6568d"
+          }
+        },
+        "33a065062f134c0d975262bc6c7e5727": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "HBoxModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "HBoxModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/controls",
+            "_view_module_version": "1.5.0",
+            "_view_name": "HBoxView",
+            "box_style": "",
+            "children": [
+              "IPY_MODEL_491c140d231842b79a854a0311311990",
+              "IPY_MODEL_2778883ff60e43798fcf7515007dd890",
+              "IPY_MODEL_222e9dc70dea4916adca90fbdb86ae00"
+            ],
+            "layout": "IPY_MODEL_68e099a39f4e4abcb2f9e8fdc0884f11"
+          }
+        },
+        "34d42ac742a2473bb7c52a7557a36e39": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "DescriptionStyleModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "DescriptionStyleModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "StyleView",
+            "description_width": ""
+          }
+        },
+        "36a6233658a54bec98670da58c6a1695": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "FloatProgressModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "FloatProgressModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/controls",
+            "_view_module_version": "1.5.0",
+            "_view_name": "ProgressView",
+            "bar_style": "success",
+            "description": "",
+            "description_tooltip": null,
+            "layout": "IPY_MODEL_f0c1200a87f74ea88d3ce36ecfc99014",
+            "max": 181,
+            "min": 0,
+            "orientation": "horizontal",
+            "style": "IPY_MODEL_214fc2ffd406429a9103d1e27b3985cb",
+            "value": 181
+          }
+        },
+        "3769dbbf521843aea1ce4f367484c080": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "FloatProgressModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "FloatProgressModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/controls",
+            "_view_module_version": "1.5.0",
+            "_view_name": "ProgressView",
+            "bar_style": "success",
+            "description": "",
+            "description_tooltip": null,
+            "layout": "IPY_MODEL_d9089aeb40654caeb517ad2f1dc0e733",
+            "max": 42271667,
+            "min": 0,
+            "orientation": "horizontal",
+            "style": "IPY_MODEL_5bb0697d0ffb4a0aba9b3bd9b08d3146",
+            "value": 42271667
+          }
+        },
+        "404bdac883a948a89b40520a27ca487e": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "DescriptionStyleModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "DescriptionStyleModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "StyleView",
+            "description_width": ""
+          }
+        },
+        "409308c8506e45b2a00ee2dcc74152f1": {
+          "model_module": "@jupyter-widgets/base",
+          "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/base",
+            "_model_module_version": "1.2.0",
+            "_model_name": "LayoutModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "LayoutView",
+            "align_content": null,
+            "align_items": null,
+            "align_self": null,
+            "border": null,
+            "bottom": null,
+            "display": null,
+            "flex": null,
+            "flex_flow": null,
+            "grid_area": null,
+            "grid_auto_columns": null,
+            "grid_auto_flow": null,
+            "grid_auto_rows": null,
+            "grid_column": null,
+            "grid_gap": null,
+            "grid_row": null,
+            "grid_template_areas": null,
+            "grid_template_columns": null,
+            "grid_template_rows": null,
+            "height": null,
+            "justify_content": null,
+            "justify_items": null,
+            "left": null,
+            "margin": null,
+            "max_height": null,
+            "max_width": null,
+            "min_height": null,
+            "min_width": null,
+            "object_fit": null,
+            "object_position": null,
+            "order": null,
+            "overflow": null,
+            "overflow_x": null,
+            "overflow_y": null,
+            "padding": null,
+            "right": null,
+            "top": null,
+            "visibility": null,
+            "width": null
+          }
+        },
+        "430b3c93637a4aeb908f82c4812d2897": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "HTMLModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "HTMLModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/controls",
+            "_view_module_version": "1.5.0",
+            "_view_name": "HTMLView",
+            "description": "",
+            "description_tooltip": null,
+            "layout": "IPY_MODEL_6918f348708943b6b4220c7a2fdd178a",
+            "placeholder": "​",
+            "style": "IPY_MODEL_c76b90bab1f242e8b3402425aeefc0d3",
+            "value": " 42.3M/42.3M [00:01&lt;00:00, 42.7MB/s]"
+          }
+        },
+        "471bd7b9f0cc4a41aad91bd2a0fa0b74": {
+          "model_module": "@jupyter-widgets/base",
+          "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/base",
+            "_model_module_version": "1.2.0",
+            "_model_name": "LayoutModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "LayoutView",
+            "align_content": null,
+            "align_items": null,
+            "align_self": null,
+            "border": null,
+            "bottom": null,
+            "display": null,
+            "flex": null,
+            "flex_flow": null,
+            "grid_area": null,
+            "grid_auto_columns": null,
+            "grid_auto_flow": null,
+            "grid_auto_rows": null,
+            "grid_column": null,
+            "grid_gap": null,
+            "grid_row": null,
+            "grid_template_areas": null,
+            "grid_template_columns": null,
+            "grid_template_rows": null,
+            "height": null,
+            "justify_content": null,
+            "justify_items": null,
+            "left": null,
+            "margin": null,
+            "max_height": null,
+            "max_width": null,
+            "min_height": null,
+            "min_width": null,
+            "object_fit": null,
+            "object_position": null,
+            "order": null,
+            "overflow": null,
+            "overflow_x": null,
+            "overflow_y": null,
+            "padding": null,
+            "right": null,
+            "top": null,
+            "visibility": null,
+            "width": null
+          }
+        },
+        "491c140d231842b79a854a0311311990": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "HTMLModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "HTMLModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/controls",
+            "_view_module_version": "1.5.0",
+            "_view_name": "HTMLView",
+            "description": "",
+            "description_tooltip": null,
+            "layout": "IPY_MODEL_2fab42c58ad845c5b66f0262e22fa8d4",
+            "placeholder": "​",
+            "style": "IPY_MODEL_ed113bf3772c41e0a72891e524d7bc6f",
+            "value": "model.safetensors: 100%"
+          }
+        },
+        "50bac768ece44a02aaaf1e1df81cd340": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "HTMLModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "HTMLModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/controls",
+            "_view_module_version": "1.5.0",
+            "_view_name": "HTMLView",
+            "description": "",
+            "description_tooltip": null,
+            "layout": "IPY_MODEL_0f8c1a06cb9743bc8ac77616cd82fa9c",
+            "placeholder": "​",
+            "style": "IPY_MODEL_c5c7ee3f1f2340c380e7050c41926f5d",
+            "value": " 3.06k/3.06k [00:00&lt;00:00, 291kB/s]"
+          }
+        },
+        "52178876a7864fd4beb9bee548766c24": {
+          "model_module": "@jupyter-widgets/base",
+          "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/base",
+            "_model_module_version": "1.2.0",
+            "_model_name": "LayoutModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "LayoutView",
+            "align_content": null,
+            "align_items": null,
+            "align_self": null,
+            "border": null,
+            "bottom": null,
+            "display": null,
+            "flex": null,
+            "flex_flow": null,
+            "grid_area": null,
+            "grid_auto_columns": null,
+            "grid_auto_flow": null,
+            "grid_auto_rows": null,
+            "grid_column": null,
+            "grid_gap": null,
+            "grid_row": null,
+            "grid_template_areas": null,
+            "grid_template_columns": null,
+            "grid_template_rows": null,
+            "height": null,
+            "justify_content": null,
+            "justify_items": null,
+            "left": null,
+            "margin": null,
+            "max_height": null,
+            "max_width": null,
+            "min_height": null,
+            "min_width": null,
+            "object_fit": null,
+            "object_position": null,
+            "order": null,
+            "overflow": null,
+            "overflow_x": null,
+            "overflow_y": null,
+            "padding": null,
+            "right": null,
+            "top": null,
+            "visibility": null,
+            "width": null
+          }
+        },
+        "529faa51648a4bdc967049ab75c67955": {
+          "model_module": "@jupyter-widgets/base",
+          "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/base",
+            "_model_module_version": "1.2.0",
+            "_model_name": "LayoutModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "LayoutView",
+            "align_content": null,
+            "align_items": null,
+            "align_self": null,
+            "border": null,
+            "bottom": null,
+            "display": null,
+            "flex": null,
+            "flex_flow": null,
+            "grid_area": null,
+            "grid_auto_columns": null,
+            "grid_auto_flow": null,
+            "grid_auto_rows": null,
+            "grid_column": null,
+            "grid_gap": null,
+            "grid_row": null,
+            "grid_template_areas": null,
+            "grid_template_columns": null,
+            "grid_template_rows": null,
+            "height": null,
+            "justify_content": null,
+            "justify_items": null,
+            "left": null,
+            "margin": null,
+            "max_height": null,
+            "max_width": null,
+            "min_height": null,
+            "min_width": null,
+            "object_fit": null,
+            "object_position": null,
+            "order": null,
+            "overflow": null,
+            "overflow_x": null,
+            "overflow_y": null,
+            "padding": null,
+            "right": null,
+            "top": null,
+            "visibility": null,
+            "width": null
+          }
+        },
+        "599f54303eb74b05aa806c3228a956a7": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "HTMLModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "HTMLModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/controls",
+            "_view_module_version": "1.5.0",
+            "_view_name": "HTMLView",
+            "description": "",
+            "description_tooltip": null,
+            "layout": "IPY_MODEL_cea0e1aa862e4fd7b2c790cef07d175f",
+            "placeholder": "​",
+            "style": "IPY_MODEL_11c88d53c1d4498dafd3b255cb8ee653",
+            "value": "README.md: 100%"
+          }
+        },
+        "5bb0697d0ffb4a0aba9b3bd9b08d3146": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "ProgressStyleModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "ProgressStyleModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "StyleView",
+            "bar_color": null,
+            "description_width": ""
+          }
+        },
+        "5c0bac7a6fef40189972fc6cea95fa29": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "ProgressStyleModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "ProgressStyleModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "StyleView",
+            "bar_color": null,
+            "description_width": ""
+          }
+        },
+        "5eccc99196c94c52af0757d28c09090e": {
+          "model_module": "@jupyter-widgets/base",
+          "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/base",
+            "_model_module_version": "1.2.0",
+            "_model_name": "LayoutModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "LayoutView",
+            "align_content": null,
+            "align_items": null,
+            "align_self": null,
+            "border": null,
+            "bottom": null,
+            "display": null,
+            "flex": null,
+            "flex_flow": null,
+            "grid_area": null,
+            "grid_auto_columns": null,
+            "grid_auto_flow": null,
+            "grid_auto_rows": null,
+            "grid_column": null,
+            "grid_gap": null,
+            "grid_row": null,
+            "grid_template_areas": null,
+            "grid_template_columns": null,
+            "grid_template_rows": null,
+            "height": null,
+            "justify_content": null,
+            "justify_items": null,
+            "left": null,
+            "margin": null,
+            "max_height": null,
+            "max_width": null,
+            "min_height": null,
+            "min_width": null,
+            "object_fit": null,
+            "object_position": null,
+            "order": null,
+            "overflow": null,
+            "overflow_x": null,
+            "overflow_y": null,
+            "padding": null,
+            "right": null,
+            "top": null,
+            "visibility": null,
+            "width": null
+          }
+        },
+        "5fed7972422e49d992b564afa6bd4e44": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "HBoxModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "HBoxModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/controls",
+            "_view_module_version": "1.5.0",
+            "_view_name": "HBoxView",
+            "box_style": "",
+            "children": [
+              "IPY_MODEL_8e543fd471c74ba2a386c25d79f530d0",
+              "IPY_MODEL_36a6233658a54bec98670da58c6a1695",
+              "IPY_MODEL_c85e9694cdee437892bdfbdffdbf3788"
+            ],
+            "layout": "IPY_MODEL_409308c8506e45b2a00ee2dcc74152f1"
+          }
+        },
+        "685344b8731f4614b104daeecb506349": {
+          "model_module": "@jupyter-widgets/base",
+          "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/base",
+            "_model_module_version": "1.2.0",
+            "_model_name": "LayoutModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "LayoutView",
+            "align_content": null,
+            "align_items": null,
+            "align_self": null,
+            "border": null,
+            "bottom": null,
+            "display": null,
+            "flex": null,
+            "flex_flow": null,
+            "grid_area": null,
+            "grid_auto_columns": null,
+            "grid_auto_flow": null,
+            "grid_auto_rows": null,
+            "grid_column": null,
+            "grid_gap": null,
+            "grid_row": null,
+            "grid_template_areas": null,
+            "grid_template_columns": null,
+            "grid_template_rows": null,
+            "height": null,
+            "justify_content": null,
+            "justify_items": null,
+            "left": null,
+            "margin": null,
+            "max_height": null,
+            "max_width": null,
+            "min_height": null,
+            "min_width": null,
+            "object_fit": null,
+            "object_position": null,
+            "order": null,
+            "overflow": null,
+            "overflow_x": null,
+            "overflow_y": null,
+            "padding": null,
+            "right": null,
+            "top": null,
+            "visibility": null,
+            "width": null
+          }
+        },
+        "6878311b22b94ae79c4d1700a0c1410e": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "HTMLModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "HTMLModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/controls",
+            "_view_module_version": "1.5.0",
+            "_view_name": "HTMLView",
+            "description": "",
+            "description_tooltip": null,
+            "layout": "IPY_MODEL_dc965db378fe4995bc92d4606541ecc5",
+            "placeholder": "​",
+            "style": "IPY_MODEL_ad9e4414b262401ba1cc088be291de8b",
+            "value": " 6.17k/6.17k [00:00&lt;00:00, 486kB/s]"
+          }
+        },
+        "68e099a39f4e4abcb2f9e8fdc0884f11": {
+          "model_module": "@jupyter-widgets/base",
+          "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/base",
+            "_model_module_version": "1.2.0",
+            "_model_name": "LayoutModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "LayoutView",
+            "align_content": null,
+            "align_items": null,
+            "align_self": null,
+            "border": null,
+            "bottom": null,
+            "display": null,
+            "flex": null,
+            "flex_flow": null,
+            "grid_area": null,
+            "grid_auto_columns": null,
+            "grid_auto_flow": null,
+            "grid_auto_rows": null,
+            "grid_column": null,
+            "grid_gap": null,
+            "grid_row": null,
+            "grid_template_areas": null,
+            "grid_template_columns": null,
+            "grid_template_rows": null,
+            "height": null,
+            "justify_content": null,
+            "justify_items": null,
+            "left": null,
+            "margin": null,
+            "max_height": null,
+            "max_width": null,
+            "min_height": null,
+            "min_width": null,
+            "object_fit": null,
+            "object_position": null,
+            "order": null,
+            "overflow": null,
+            "overflow_x": null,
+            "overflow_y": null,
+            "padding": null,
+            "right": null,
+            "top": null,
+            "visibility": null,
+            "width": null
+          }
+        },
+        "6918f348708943b6b4220c7a2fdd178a": {
+          "model_module": "@jupyter-widgets/base",
+          "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/base",
+            "_model_module_version": "1.2.0",
+            "_model_name": "LayoutModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "LayoutView",
+            "align_content": null,
+            "align_items": null,
+            "align_self": null,
+            "border": null,
+            "bottom": null,
+            "display": null,
+            "flex": null,
+            "flex_flow": null,
+            "grid_area": null,
+            "grid_auto_columns": null,
+            "grid_auto_flow": null,
+            "grid_auto_rows": null,
+            "grid_column": null,
+            "grid_gap": null,
+            "grid_row": null,
+            "grid_template_areas": null,
+            "grid_template_columns": null,
+            "grid_template_rows": null,
+            "height": null,
+            "justify_content": null,
+            "justify_items": null,
+            "left": null,
+            "margin": null,
+            "max_height": null,
+            "max_width": null,
+            "min_height": null,
+            "min_width": null,
+            "object_fit": null,
+            "object_position": null,
+            "order": null,
+            "overflow": null,
+            "overflow_x": null,
+            "overflow_y": null,
+            "padding": null,
+            "right": null,
+            "top": null,
+            "visibility": null,
+            "width": null
+          }
+        },
+        "69894e27dab8404dbdc8d9ed2d82ac94": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "DescriptionStyleModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "DescriptionStyleModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "StyleView",
+            "description_width": ""
+          }
+        },
+        "6b973cb0594a432cba4ea6f6adea5a19": {
+          "model_module": "@jupyter-widgets/base",
+          "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/base",
+            "_model_module_version": "1.2.0",
+            "_model_name": "LayoutModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "LayoutView",
+            "align_content": null,
+            "align_items": null,
+            "align_self": null,
+            "border": null,
+            "bottom": null,
+            "display": null,
+            "flex": null,
+            "flex_flow": null,
+            "grid_area": null,
+            "grid_auto_columns": null,
+            "grid_auto_flow": null,
+            "grid_auto_rows": null,
+            "grid_column": null,
+            "grid_gap": null,
+            "grid_row": null,
+            "grid_template_areas": null,
+            "grid_template_columns": null,
+            "grid_template_rows": null,
+            "height": null,
+            "justify_content": null,
+            "justify_items": null,
+            "left": null,
+            "margin": null,
+            "max_height": null,
+            "max_width": null,
+            "min_height": null,
+            "min_width": null,
+            "object_fit": null,
+            "object_position": null,
+            "order": null,
+            "overflow": null,
+            "overflow_x": null,
+            "overflow_y": null,
+            "padding": null,
+            "right": null,
+            "top": null,
+            "visibility": null,
+            "width": null
+          }
+        },
+        "6c1bd92a1aad4ef6aa47c94c6e3f0898": {
+          "model_module": "@jupyter-widgets/base",
+          "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/base",
+            "_model_module_version": "1.2.0",
+            "_model_name": "LayoutModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "LayoutView",
+            "align_content": null,
+            "align_items": null,
+            "align_self": null,
+            "border": null,
+            "bottom": null,
+            "display": null,
+            "flex": null,
+            "flex_flow": null,
+            "grid_area": null,
+            "grid_auto_columns": null,
+            "grid_auto_flow": null,
+            "grid_auto_rows": null,
+            "grid_column": null,
+            "grid_gap": null,
+            "grid_row": null,
+            "grid_template_areas": null,
+            "grid_template_columns": null,
+            "grid_template_rows": null,
+            "height": null,
+            "justify_content": null,
+            "justify_items": null,
+            "left": null,
+            "margin": null,
+            "max_height": null,
+            "max_width": null,
+            "min_height": null,
+            "min_width": null,
+            "object_fit": null,
+            "object_position": null,
+            "order": null,
+            "overflow": null,
+            "overflow_x": null,
+            "overflow_y": null,
+            "padding": null,
+            "right": null,
+            "top": null,
+            "visibility": null,
+            "width": null
+          }
+        },
+        "708de4722f1b41cda3d321888a3cbfb7": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "ProgressStyleModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "ProgressStyleModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "StyleView",
+            "bar_color": null,
+            "description_width": ""
+          }
+        },
+        "7137f86efff146cea416da5c637b55ec": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "HBoxModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "HBoxModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/controls",
+            "_view_module_version": "1.5.0",
+            "_view_name": "HBoxView",
+            "box_style": "",
+            "children": [
+              "IPY_MODEL_a93bbc80b5f24583b72a710c7e946094",
+              "IPY_MODEL_3769dbbf521843aea1ce4f367484c080",
+              "IPY_MODEL_430b3c93637a4aeb908f82c4812d2897"
+            ],
+            "layout": "IPY_MODEL_bd30390bc99d42bbac96c3c9f8a2858a"
+          }
+        },
+        "756df8b5de2c443e8e5db0b16fbd4a1f": {
+          "model_module": "@jupyter-widgets/base",
+          "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/base",
+            "_model_module_version": "1.2.0",
+            "_model_name": "LayoutModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "LayoutView",
+            "align_content": null,
+            "align_items": null,
+            "align_self": null,
+            "border": null,
+            "bottom": null,
+            "display": null,
+            "flex": null,
+            "flex_flow": null,
+            "grid_area": null,
+            "grid_auto_columns": null,
+            "grid_auto_flow": null,
+            "grid_auto_rows": null,
+            "grid_column": null,
+            "grid_gap": null,
+            "grid_row": null,
+            "grid_template_areas": null,
+            "grid_template_columns": null,
+            "grid_template_rows": null,
+            "height": null,
+            "justify_content": null,
+            "justify_items": null,
+            "left": null,
+            "margin": null,
+            "max_height": null,
+            "max_width": null,
+            "min_height": null,
+            "min_width": null,
+            "object_fit": null,
+            "object_position": null,
+            "order": null,
+            "overflow": null,
+            "overflow_x": null,
+            "overflow_y": null,
+            "padding": null,
+            "right": null,
+            "top": null,
+            "visibility": null,
+            "width": null
+          }
+        },
+        "7bff5ad84946419c9ba73cf860534d60": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "FloatProgressModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "FloatProgressModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/controls",
+            "_view_module_version": "1.5.0",
+            "_view_name": "ProgressView",
+            "bar_style": "success",
+            "description": "",
+            "description_tooltip": null,
+            "layout": "IPY_MODEL_0d8a7b4909114d269acf1df8c14c7000",
+            "max": 7031660,
+            "min": 0,
+            "orientation": "horizontal",
+            "style": "IPY_MODEL_eb9515b9e492476e97f1ac02bc5ded8c",
+            "value": 7031660
+          }
+        },
+        "7e975d28657041058355c18716c5fa48": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "HBoxModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "HBoxModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/controls",
+            "_view_module_version": "1.5.0",
+            "_view_name": "HBoxView",
+            "box_style": "",
+            "children": [
+              "IPY_MODEL_d65b9c8d3cbe48f49b764d4cc85f852f",
+              "IPY_MODEL_9bf0a927a8dd4c82bfef900f29e69ce6",
+              "IPY_MODEL_c45f7981bfc64061a113bffddbddce9e"
+            ],
+            "layout": "IPY_MODEL_c13377e46cf146e6a62102cd51710d9f"
+          }
+        },
+        "8c43cc01031b4da88ab2a12f16c9aff0": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "HBoxModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "HBoxModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/controls",
+            "_view_module_version": "1.5.0",
+            "_view_name": "HBoxView",
+            "box_style": "",
+            "children": [
+              "IPY_MODEL_93aad82624944342a250a980bd39e64d",
+              "IPY_MODEL_e578633949794b72b497fa20ad3e1ec4",
+              "IPY_MODEL_1c447ae3914e4ef38c4a1d368595eb60"
+            ],
+            "layout": "IPY_MODEL_f62f85e997be42a09e9fcb1dfd6084b5"
+          }
+        },
+        "8ca9c3dd6b2c42b4abee90b9a3a7b9b2": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "DescriptionStyleModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "DescriptionStyleModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "StyleView",
+            "description_width": ""
+          }
+        },
+        "8e543fd471c74ba2a386c25d79f530d0": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "HTMLModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "HTMLModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/controls",
+            "_view_module_version": "1.5.0",
+            "_view_name": "HTMLView",
+            "description": "",
+            "description_tooltip": null,
+            "layout": "IPY_MODEL_0c77052a694f45a49a88e6ac190ce45e",
+            "placeholder": "​",
+            "style": "IPY_MODEL_404bdac883a948a89b40520a27ca487e",
+            "value": "generation_config.json: 100%"
+          }
+        },
+        "93aad82624944342a250a980bd39e64d": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "HTMLModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "HTMLModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/controls",
+            "_view_module_version": "1.5.0",
+            "_view_name": "HTMLView",
+            "description": "",
+            "description_tooltip": null,
+            "layout": "IPY_MODEL_529faa51648a4bdc967049ab75c67955",
+            "placeholder": "​",
+            "style": "IPY_MODEL_2e135d23dfda40b5b1a0b09ec9e63b31",
+            "value": "config.json: 100%"
+          }
+        },
+        "957f5f1c63c3466e8731a2ef1a8b0964": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "FloatProgressModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "FloatProgressModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/controls",
+            "_view_module_version": "1.5.0",
+            "_view_name": "ProgressView",
+            "bar_style": "success",
+            "description": "",
+            "description_tooltip": null,
+            "layout": "IPY_MODEL_26a980725fdb487f8e3d0415cbf607d7",
+            "max": 3061,
+            "min": 0,
+            "orientation": "horizontal",
+            "style": "IPY_MODEL_0d991641826e4451a5ebdb4329f3cbe3",
+            "value": 3061
+          }
+        },
+        "9bf0a927a8dd4c82bfef900f29e69ce6": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "FloatProgressModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "FloatProgressModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/controls",
+            "_view_module_version": "1.5.0",
+            "_view_name": "ProgressView",
+            "bar_style": "success",
+            "description": "",
+            "description_tooltip": null,
+            "layout": "IPY_MODEL_6c1bd92a1aad4ef6aa47c94c6e3f0898",
+            "max": 1500,
+            "min": 0,
+            "orientation": "horizontal",
+            "style": "IPY_MODEL_708de4722f1b41cda3d321888a3cbfb7",
+            "value": 1500
+          }
+        },
+        "a02309a17f604f17a23521bc0f5cdd35": {
+          "model_module": "@jupyter-widgets/base",
+          "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/base",
+            "_model_module_version": "1.2.0",
+            "_model_name": "LayoutModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "LayoutView",
+            "align_content": null,
+            "align_items": null,
+            "align_self": null,
+            "border": null,
+            "bottom": null,
+            "display": null,
+            "flex": null,
+            "flex_flow": null,
+            "grid_area": null,
+            "grid_auto_columns": null,
+            "grid_auto_flow": null,
+            "grid_auto_rows": null,
+            "grid_column": null,
+            "grid_gap": null,
+            "grid_row": null,
+            "grid_template_areas": null,
+            "grid_template_columns": null,
+            "grid_template_rows": null,
+            "height": null,
+            "justify_content": null,
+            "justify_items": null,
+            "left": null,
+            "margin": null,
+            "max_height": null,
+            "max_width": null,
+            "min_height": null,
+            "min_width": null,
+            "object_fit": null,
+            "object_position": null,
+            "order": null,
+            "overflow": null,
+            "overflow_x": null,
+            "overflow_y": null,
+            "padding": null,
+            "right": null,
+            "top": null,
+            "visibility": null,
+            "width": null
+          }
+        },
+        "a3b2a5214d4d47dcace266a15ee6568d": {
+          "model_module": "@jupyter-widgets/base",
+          "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/base",
+            "_model_module_version": "1.2.0",
+            "_model_name": "LayoutModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "LayoutView",
+            "align_content": null,
+            "align_items": null,
+            "align_self": null,
+            "border": null,
+            "bottom": null,
+            "display": null,
+            "flex": null,
+            "flex_flow": null,
+            "grid_area": null,
+            "grid_auto_columns": null,
+            "grid_auto_flow": null,
+            "grid_auto_rows": null,
+            "grid_column": null,
+            "grid_gap": null,
+            "grid_row": null,
+            "grid_template_areas": null,
+            "grid_template_columns": null,
+            "grid_template_rows": null,
+            "height": null,
+            "justify_content": null,
+            "justify_items": null,
+            "left": null,
+            "margin": null,
+            "max_height": null,
+            "max_width": null,
+            "min_height": null,
+            "min_width": null,
+            "object_fit": null,
+            "object_position": null,
+            "order": null,
+            "overflow": null,
+            "overflow_x": null,
+            "overflow_y": null,
+            "padding": null,
+            "right": null,
+            "top": null,
+            "visibility": null,
+            "width": null
+          }
+        },
+        "a648eaa1a4f64a6997f085c7834eeaf7": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "DescriptionStyleModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "DescriptionStyleModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "StyleView",
+            "description_width": ""
+          }
+        },
+        "a93bbc80b5f24583b72a710c7e946094": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "HTMLModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "HTMLModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/controls",
+            "_view_module_version": "1.5.0",
+            "_view_name": "HTMLView",
+            "description": "",
+            "description_tooltip": null,
+            "layout": "IPY_MODEL_c94a1b82bcb946378b0c8d7c5fd1388f",
+            "placeholder": "​",
+            "style": "IPY_MODEL_8ca9c3dd6b2c42b4abee90b9a3a7b9b2",
+            "value": "sample_mflix.embedded_movies.json: 100%"
+          }
+        },
+        "ad9e4414b262401ba1cc088be291de8b": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "DescriptionStyleModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "DescriptionStyleModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "StyleView",
+            "description_width": ""
+          }
+        },
+        "b2d4a4d6af984fc28c7a4e9a67b7a5d0": {
+          "model_module": "@jupyter-widgets/base",
+          "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/base",
+            "_model_module_version": "1.2.0",
+            "_model_name": "LayoutModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "LayoutView",
+            "align_content": null,
+            "align_items": null,
+            "align_self": null,
+            "border": null,
+            "bottom": null,
+            "display": null,
+            "flex": null,
+            "flex_flow": null,
+            "grid_area": null,
+            "grid_auto_columns": null,
+            "grid_auto_flow": null,
+            "grid_auto_rows": null,
+            "grid_column": null,
+            "grid_gap": null,
+            "grid_row": null,
+            "grid_template_areas": null,
+            "grid_template_columns": null,
+            "grid_template_rows": null,
+            "height": null,
+            "justify_content": null,
+            "justify_items": null,
+            "left": null,
+            "margin": null,
+            "max_height": null,
+            "max_width": null,
+            "min_height": null,
+            "min_width": null,
+            "object_fit": null,
+            "object_position": null,
+            "order": null,
+            "overflow": null,
+            "overflow_x": null,
+            "overflow_y": null,
+            "padding": null,
+            "right": null,
+            "top": null,
+            "visibility": null,
+            "width": null
+          }
+        },
+        "b6456756effd4047b1fedfdbd4bbf539": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "HTMLModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "HTMLModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/controls",
+            "_view_module_version": "1.5.0",
+            "_view_name": "HTMLView",
+            "description": "",
+            "description_tooltip": null,
+            "layout": "IPY_MODEL_a02309a17f604f17a23521bc0f5cdd35",
+            "placeholder": "​",
+            "style": "IPY_MODEL_ebc9c48a0c054ed780ef5384c63544e4",
+            "value": " 7.03M/7.03M [00:01&lt;00:00, 6.71MB/s]"
+          }
+        },
+        "b895f5fc35c3446e96e2a2637fb89127": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "ProgressStyleModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "ProgressStyleModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "StyleView",
+            "bar_color": null,
+            "description_width": ""
+          }
+        },
+        "bd30390bc99d42bbac96c3c9f8a2858a": {
+          "model_module": "@jupyter-widgets/base",
+          "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/base",
+            "_model_module_version": "1.2.0",
+            "_model_name": "LayoutModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "LayoutView",
+            "align_content": null,
+            "align_items": null,
+            "align_self": null,
+            "border": null,
+            "bottom": null,
+            "display": null,
+            "flex": null,
+            "flex_flow": null,
+            "grid_area": null,
+            "grid_auto_columns": null,
+            "grid_auto_flow": null,
+            "grid_auto_rows": null,
+            "grid_column": null,
+            "grid_gap": null,
+            "grid_row": null,
+            "grid_template_areas": null,
+            "grid_template_columns": null,
+            "grid_template_rows": null,
+            "height": null,
+            "justify_content": null,
+            "justify_items": null,
+            "left": null,
+            "margin": null,
+            "max_height": null,
+            "max_width": null,
+            "min_height": null,
+            "min_width": null,
+            "object_fit": null,
+            "object_position": null,
+            "order": null,
+            "overflow": null,
+            "overflow_x": null,
+            "overflow_y": null,
+            "padding": null,
+            "right": null,
+            "top": null,
+            "visibility": null,
+            "width": null
+          }
+        },
+        "bf912b2aad0d4b0e9fbd15b82e7577a2": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "HBoxModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "HBoxModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/controls",
+            "_view_module_version": "1.5.0",
+            "_view_name": "HBoxView",
+            "box_style": "",
+            "children": [
+              "IPY_MODEL_1822d15a82044cc690b9ac8e27901c26",
+              "IPY_MODEL_7bff5ad84946419c9ba73cf860534d60",
+              "IPY_MODEL_b6456756effd4047b1fedfdbd4bbf539"
+            ],
+            "layout": "IPY_MODEL_6b973cb0594a432cba4ea6f6adea5a19"
+          }
+        },
+        "c13377e46cf146e6a62102cd51710d9f": {
+          "model_module": "@jupyter-widgets/base",
+          "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/base",
+            "_model_module_version": "1.2.0",
+            "_model_name": "LayoutModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "LayoutView",
+            "align_content": null,
+            "align_items": null,
+            "align_self": null,
+            "border": null,
+            "bottom": null,
+            "display": null,
+            "flex": null,
+            "flex_flow": null,
+            "grid_area": null,
+            "grid_auto_columns": null,
+            "grid_auto_flow": null,
+            "grid_auto_rows": null,
+            "grid_column": null,
+            "grid_gap": null,
+            "grid_row": null,
+            "grid_template_areas": null,
+            "grid_template_columns": null,
+            "grid_template_rows": null,
+            "height": null,
+            "justify_content": null,
+            "justify_items": null,
+            "left": null,
+            "margin": null,
+            "max_height": null,
+            "max_width": null,
+            "min_height": null,
+            "min_width": null,
+            "object_fit": null,
+            "object_position": null,
+            "order": null,
+            "overflow": null,
+            "overflow_x": null,
+            "overflow_y": null,
+            "padding": null,
+            "right": null,
+            "top": null,
+            "visibility": null,
+            "width": null
+          }
+        },
+        "c4144e1058e04ee5a87e40cfb7795441": {
+          "model_module": "@jupyter-widgets/base",
+          "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/base",
+            "_model_module_version": "1.2.0",
+            "_model_name": "LayoutModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "LayoutView",
+            "align_content": null,
+            "align_items": null,
+            "align_self": null,
+            "border": null,
+            "bottom": null,
+            "display": null,
+            "flex": null,
+            "flex_flow": null,
+            "grid_area": null,
+            "grid_auto_columns": null,
+            "grid_auto_flow": null,
+            "grid_auto_rows": null,
+            "grid_column": null,
+            "grid_gap": null,
+            "grid_row": null,
+            "grid_template_areas": null,
+            "grid_template_columns": null,
+            "grid_template_rows": null,
+            "height": null,
+            "justify_content": null,
+            "justify_items": null,
+            "left": null,
+            "margin": null,
+            "max_height": null,
+            "max_width": null,
+            "min_height": null,
+            "min_width": null,
+            "object_fit": null,
+            "object_position": null,
+            "order": null,
+            "overflow": null,
+            "overflow_x": null,
+            "overflow_y": null,
+            "padding": null,
+            "right": null,
+            "top": null,
+            "visibility": null,
+            "width": null
+          }
+        },
+        "c45f7981bfc64061a113bffddbddce9e": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "HTMLModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "HTMLModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/controls",
+            "_view_module_version": "1.5.0",
+            "_view_name": "HTMLView",
+            "description": "",
+            "description_tooltip": null,
+            "layout": "IPY_MODEL_caec76179d6b467f80ae27ad7ae541e2",
+            "placeholder": "​",
+            "style": "IPY_MODEL_1a299210afc24c06ba25dfee47e60f3d",
+            "value": " 1500/1500 [00:00&lt;00:00, 2441.11 examples/s]"
+          }
+        },
+        "c5c7ee3f1f2340c380e7050c41926f5d": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "DescriptionStyleModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "DescriptionStyleModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "StyleView",
+            "description_width": ""
+          }
+        },
+        "c76b90bab1f242e8b3402425aeefc0d3": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "DescriptionStyleModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "DescriptionStyleModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "StyleView",
+            "description_width": ""
+          }
+        },
+        "c85e9694cdee437892bdfbdffdbf3788": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "HTMLModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "HTMLModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/controls",
+            "_view_module_version": "1.5.0",
+            "_view_name": "HTMLView",
+            "description": "",
+            "description_tooltip": null,
+            "layout": "IPY_MODEL_1d8f25114ad741ca85745d066b7d2495",
+            "placeholder": "​",
+            "style": "IPY_MODEL_d77491778334421684b67d1db2ea29f9",
+            "value": " 181/181 [00:00&lt;00:00, 16.5kB/s]"
+          }
+        },
+        "c94a1b82bcb946378b0c8d7c5fd1388f": {
+          "model_module": "@jupyter-widgets/base",
+          "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/base",
+            "_model_module_version": "1.2.0",
+            "_model_name": "LayoutModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "LayoutView",
+            "align_content": null,
+            "align_items": null,
+            "align_self": null,
+            "border": null,
+            "bottom": null,
+            "display": null,
+            "flex": null,
+            "flex_flow": null,
+            "grid_area": null,
+            "grid_auto_columns": null,
+            "grid_auto_flow": null,
+            "grid_auto_rows": null,
+            "grid_column": null,
+            "grid_gap": null,
+            "grid_row": null,
+            "grid_template_areas": null,
+            "grid_template_columns": null,
+            "grid_template_rows": null,
+            "height": null,
+            "justify_content": null,
+            "justify_items": null,
+            "left": null,
+            "margin": null,
+            "max_height": null,
+            "max_width": null,
+            "min_height": null,
+            "min_width": null,
+            "object_fit": null,
+            "object_position": null,
+            "order": null,
+            "overflow": null,
+            "overflow_x": null,
+            "overflow_y": null,
+            "padding": null,
+            "right": null,
+            "top": null,
+            "visibility": null,
+            "width": null
+          }
+        },
+        "caec76179d6b467f80ae27ad7ae541e2": {
+          "model_module": "@jupyter-widgets/base",
+          "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/base",
+            "_model_module_version": "1.2.0",
+            "_model_name": "LayoutModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "LayoutView",
+            "align_content": null,
+            "align_items": null,
+            "align_self": null,
+            "border": null,
+            "bottom": null,
+            "display": null,
+            "flex": null,
+            "flex_flow": null,
+            "grid_area": null,
+            "grid_auto_columns": null,
+            "grid_auto_flow": null,
+            "grid_auto_rows": null,
+            "grid_column": null,
+            "grid_gap": null,
+            "grid_row": null,
+            "grid_template_areas": null,
+            "grid_template_columns": null,
+            "grid_template_rows": null,
+            "height": null,
+            "justify_content": null,
+            "justify_items": null,
+            "left": null,
+            "margin": null,
+            "max_height": null,
+            "max_width": null,
+            "min_height": null,
+            "min_width": null,
+            "object_fit": null,
+            "object_position": null,
+            "order": null,
+            "overflow": null,
+            "overflow_x": null,
+            "overflow_y": null,
+            "padding": null,
+            "right": null,
+            "top": null,
+            "visibility": null,
+            "width": null
+          }
+        },
+        "cea0e1aa862e4fd7b2c790cef07d175f": {
+          "model_module": "@jupyter-widgets/base",
+          "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/base",
+            "_model_module_version": "1.2.0",
+            "_model_name": "LayoutModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "LayoutView",
+            "align_content": null,
+            "align_items": null,
+            "align_self": null,
+            "border": null,
+            "bottom": null,
+            "display": null,
+            "flex": null,
+            "flex_flow": null,
+            "grid_area": null,
+            "grid_auto_columns": null,
+            "grid_auto_flow": null,
+            "grid_auto_rows": null,
+            "grid_column": null,
+            "grid_gap": null,
+            "grid_row": null,
+            "grid_template_areas": null,
+            "grid_template_columns": null,
+            "grid_template_rows": null,
+            "height": null,
+            "justify_content": null,
+            "justify_items": null,
+            "left": null,
+            "margin": null,
+            "max_height": null,
+            "max_width": null,
+            "min_height": null,
+            "min_width": null,
+            "object_fit": null,
+            "object_position": null,
+            "order": null,
+            "overflow": null,
+            "overflow_x": null,
+            "overflow_y": null,
+            "padding": null,
+            "right": null,
+            "top": null,
+            "visibility": null,
+            "width": null
+          }
+        },
+        "d65b9c8d3cbe48f49b764d4cc85f852f": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "HTMLModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "HTMLModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/controls",
+            "_view_module_version": "1.5.0",
+            "_view_name": "HTMLView",
+            "description": "",
+            "description_tooltip": null,
+            "layout": "IPY_MODEL_c4144e1058e04ee5a87e40cfb7795441",
+            "placeholder": "​",
+            "style": "IPY_MODEL_123a170f4f514bc58ed44b4a21015538",
+            "value": "Generating train split: 100%"
+          }
+        },
+        "d77491778334421684b67d1db2ea29f9": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "DescriptionStyleModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "DescriptionStyleModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "StyleView",
+            "description_width": ""
+          }
+        },
+        "d9089aeb40654caeb517ad2f1dc0e733": {
+          "model_module": "@jupyter-widgets/base",
+          "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/base",
+            "_model_module_version": "1.2.0",
+            "_model_name": "LayoutModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "LayoutView",
+            "align_content": null,
+            "align_items": null,
+            "align_self": null,
+            "border": null,
+            "bottom": null,
+            "display": null,
+            "flex": null,
+            "flex_flow": null,
+            "grid_area": null,
+            "grid_auto_columns": null,
+            "grid_auto_flow": null,
+            "grid_auto_rows": null,
+            "grid_column": null,
+            "grid_gap": null,
+            "grid_row": null,
+            "grid_template_areas": null,
+            "grid_template_columns": null,
+            "grid_template_rows": null,
+            "height": null,
+            "justify_content": null,
+            "justify_items": null,
+            "left": null,
+            "margin": null,
+            "max_height": null,
+            "max_width": null,
+            "min_height": null,
+            "min_width": null,
+            "object_fit": null,
+            "object_position": null,
+            "order": null,
+            "overflow": null,
+            "overflow_x": null,
+            "overflow_y": null,
+            "padding": null,
+            "right": null,
+            "top": null,
+            "visibility": null,
+            "width": null
+          }
+        },
+        "dbcc51dcc3064c8d8269d3b4031d5a3c": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "DescriptionStyleModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "DescriptionStyleModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "StyleView",
+            "description_width": ""
+          }
+        },
+        "dc965db378fe4995bc92d4606541ecc5": {
+          "model_module": "@jupyter-widgets/base",
+          "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/base",
+            "_model_module_version": "1.2.0",
+            "_model_name": "LayoutModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "LayoutView",
+            "align_content": null,
+            "align_items": null,
+            "align_self": null,
+            "border": null,
+            "bottom": null,
+            "display": null,
+            "flex": null,
+            "flex_flow": null,
+            "grid_area": null,
+            "grid_auto_columns": null,
+            "grid_auto_flow": null,
+            "grid_auto_rows": null,
+            "grid_column": null,
+            "grid_gap": null,
+            "grid_row": null,
+            "grid_template_areas": null,
+            "grid_template_columns": null,
+            "grid_template_rows": null,
+            "height": null,
+            "justify_content": null,
+            "justify_items": null,
+            "left": null,
+            "margin": null,
+            "max_height": null,
+            "max_width": null,
+            "min_height": null,
+            "min_width": null,
+            "object_fit": null,
+            "object_position": null,
+            "order": null,
+            "overflow": null,
+            "overflow_x": null,
+            "overflow_y": null,
+            "padding": null,
+            "right": null,
+            "top": null,
+            "visibility": null,
+            "width": null
+          }
+        },
+        "e533b9b0a52447a1921c2c6a2a831da2": {
+          "model_module": "@jupyter-widgets/base",
+          "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/base",
+            "_model_module_version": "1.2.0",
+            "_model_name": "LayoutModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "LayoutView",
+            "align_content": null,
+            "align_items": null,
+            "align_self": null,
+            "border": null,
+            "bottom": null,
+            "display": null,
+            "flex": null,
+            "flex_flow": null,
+            "grid_area": null,
+            "grid_auto_columns": null,
+            "grid_auto_flow": null,
+            "grid_auto_rows": null,
+            "grid_column": null,
+            "grid_gap": null,
+            "grid_row": null,
+            "grid_template_areas": null,
+            "grid_template_columns": null,
+            "grid_template_rows": null,
+            "height": null,
+            "justify_content": null,
+            "justify_items": null,
+            "left": null,
+            "margin": null,
+            "max_height": null,
+            "max_width": null,
+            "min_height": null,
+            "min_width": null,
+            "object_fit": null,
+            "object_position": null,
+            "order": null,
+            "overflow": null,
+            "overflow_x": null,
+            "overflow_y": null,
+            "padding": null,
+            "right": null,
+            "top": null,
+            "visibility": null,
+            "width": null
+          }
+        },
+        "e578633949794b72b497fa20ad3e1ec4": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "FloatProgressModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "FloatProgressModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/controls",
+            "_view_module_version": "1.5.0",
+            "_view_name": "ProgressView",
+            "bar_style": "success",
+            "description": "",
+            "description_tooltip": null,
+            "layout": "IPY_MODEL_e533b9b0a52447a1921c2c6a2a831da2",
+            "max": 679,
+            "min": 0,
+            "orientation": "horizontal",
+            "style": "IPY_MODEL_5c0bac7a6fef40189972fc6cea95fa29",
+            "value": 679
+          }
+        },
+        "eb9515b9e492476e97f1ac02bc5ded8c": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "ProgressStyleModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "ProgressStyleModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "StyleView",
+            "bar_color": null,
+            "description_width": ""
+          }
+        },
+        "ebc9c48a0c054ed780ef5384c63544e4": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "DescriptionStyleModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "DescriptionStyleModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "StyleView",
+            "description_width": ""
+          }
+        },
+        "ed113bf3772c41e0a72891e524d7bc6f": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "DescriptionStyleModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "DescriptionStyleModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "StyleView",
+            "description_width": ""
+          }
+        },
+        "f0c1200a87f74ea88d3ce36ecfc99014": {
+          "model_module": "@jupyter-widgets/base",
+          "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/base",
+            "_model_module_version": "1.2.0",
+            "_model_name": "LayoutModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "LayoutView",
+            "align_content": null,
+            "align_items": null,
+            "align_self": null,
+            "border": null,
+            "bottom": null,
+            "display": null,
+            "flex": null,
+            "flex_flow": null,
+            "grid_area": null,
+            "grid_auto_columns": null,
+            "grid_auto_flow": null,
+            "grid_auto_rows": null,
+            "grid_column": null,
+            "grid_gap": null,
+            "grid_row": null,
+            "grid_template_areas": null,
+            "grid_template_columns": null,
+            "grid_template_rows": null,
+            "height": null,
+            "justify_content": null,
+            "justify_items": null,
+            "left": null,
+            "margin": null,
+            "max_height": null,
+            "max_width": null,
+            "min_height": null,
+            "min_width": null,
+            "object_fit": null,
+            "object_position": null,
+            "order": null,
+            "overflow": null,
+            "overflow_x": null,
+            "overflow_y": null,
+            "padding": null,
+            "right": null,
+            "top": null,
+            "visibility": null,
+            "width": null
+          }
+        },
+        "f4c8b7e7c4eb499f94de9c611e90b663": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "ProgressStyleModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "ProgressStyleModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "StyleView",
+            "bar_color": null,
+            "description_width": ""
+          }
+        },
+        "f62f85e997be42a09e9fcb1dfd6084b5": {
+          "model_module": "@jupyter-widgets/base",
+          "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/base",
+            "_model_module_version": "1.2.0",
+            "_model_name": "LayoutModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "LayoutView",
+            "align_content": null,
+            "align_items": null,
+            "align_self": null,
+            "border": null,
+            "bottom": null,
+            "display": null,
+            "flex": null,
+            "flex_flow": null,
+            "grid_area": null,
+            "grid_auto_columns": null,
+            "grid_auto_flow": null,
+            "grid_auto_rows": null,
+            "grid_column": null,
+            "grid_gap": null,
+            "grid_row": null,
+            "grid_template_areas": null,
+            "grid_template_columns": null,
+            "grid_template_rows": null,
+            "height": null,
+            "justify_content": null,
+            "justify_items": null,
+            "left": null,
+            "margin": null,
+            "max_height": null,
+            "max_width": null,
+            "min_height": null,
+            "min_width": null,
+            "object_fit": null,
+            "object_position": null,
+            "order": null,
+            "overflow": null,
+            "overflow_x": null,
+            "overflow_y": null,
+            "padding": null,
+            "right": null,
+            "top": null,
+            "visibility": null,
+            "width": null
+          }
+        },
+        "f77f228befc04fd286740c8e4008b0e3": {
+          "model_module": "@jupyter-widgets/base",
+          "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/base",
+            "_model_module_version": "1.2.0",
+            "_model_name": "LayoutModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "LayoutView",
+            "align_content": null,
+            "align_items": null,
+            "align_self": null,
+            "border": null,
+            "bottom": null,
+            "display": null,
+            "flex": null,
+            "flex_flow": null,
+            "grid_area": null,
+            "grid_auto_columns": null,
+            "grid_auto_flow": null,
+            "grid_auto_rows": null,
+            "grid_column": null,
+            "grid_gap": null,
+            "grid_row": null,
+            "grid_template_areas": null,
+            "grid_template_columns": null,
+            "grid_template_rows": null,
+            "height": null,
+            "justify_content": null,
+            "justify_items": null,
+            "left": null,
+            "margin": null,
+            "max_height": null,
+            "max_width": null,
+            "min_height": null,
+            "min_width": null,
+            "object_fit": null,
+            "object_position": null,
+            "order": null,
+            "overflow": null,
+            "overflow_x": null,
+            "overflow_y": null,
+            "padding": null,
+            "right": null,
+            "top": null,
+            "visibility": null,
+            "width": null
+          }
+        }
+      }
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}