{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "7ad7df84",
   "metadata": {},
   "source": [
    "# __Search Image by Text__"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d01de980",
   "metadata": {},
   "source": [
    "- Tutorial Difficulty: ★★☆☆☆\n",
    "- 7 min read\n",
    "- Languages: [SQL](https://en.wikipedia.org/wiki/SQL) (100%)\n",
    "- File location: tutorial_en/thanosql_search/search_image_by_text.ipynb\n",
    "- References: [Unsplash Dataset - Lite](https://unsplash.com/data), [Learning Transferable Visual Models From Natural Language Supervision](https://arxiv.org/abs/2103.00020)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b5e19c02",
   "metadata": {},
   "source": [
    "## Tutorial Introduction\n",
    "\n",
    "<div class=\"admonition note\">\n",
    "    <h4 class=\"admonition-title\">Understanding Vectorizaion</h4>\n",
    "    <p>For computers to understand human language, it must be vectorized. Recently, studies on pre-built models such as <a href=\"https://en.wikipedia.org/wiki/BERT_(language_model)\">BERT</a> and <a href=\"https://en.wikipedia.org/wiki/GPT-3\">GPT-3</a> have been actively carried out, showing remarkable results. These models identify the meaning of each sentence based on <a href=\"https://en.wikipedia.org/wiki/Self-supervised_learning\">Self-Supervised Learning</a>, and sentences with similar meanings are vectorized and placed close to each other in a low-dimensional space. Self-supervised learning allows learning without labeling by determining whether each sentence/context is true/false. It randomly shuffles the order between sentences or masks some words.</p>\n",
    "</div>\n",
    "\n",
    "The handling of different forms of input, such as texts and images, together is called multi-modal. \"**CLIP: Connecting Text and Image**\" utilizes a multi-modal model to understand low-dimensional vectors. While previous models only trained <a href=\"https://en.wikipedia.org/wiki/Feature_(machine_learning)\">features</a> of the image, the multi-modal model can train both images and texts. It can even learn the features of the texts that describe the images. In addition, by placing texts and images together in a low-dimensional space, the similarity between texts and images can be calculated. From this, a search algorithm can be derived.\n",
    "\n",
    "ThanoSQL uses machine learning algorithms to vectorize datasets. The vectorized data is stored in a database column, and is used to search for similar images. This can be done by calculating the similarity scores.\n",
    "\n",
    "__The following are examples and applications of the ThanoSQL text-image search algorithm.__\n",
    "\n",
    "- Describe the desired scene of an image or video you have with text and search for the image that is the most similar to it. Using text-based descriptions rather than the keywords of a product, search for the most similar product images.\n",
    "- Search for a timestamp in a Youtube video to place an advertisement in. Easily search for mountain or camping scenes to insert your travel advertisement. \n",
    "\n",
    "<div class=\"admonition note\">\n",
    "    <h4 class=\"admonition-title\">In This Tutorial</h4>\n",
    "    <p>👉 Unsplash released images taken by more than 200,000 photographers for free to be used as an AI dataset. Unsplash Dataset - Lite consists of 25,000 nature-themed images with 25,000 keywords. </p>\n",
    "</div>\n",
    "\n",
    "In this tutorial, we will use the text-image search model to search for images from the Unsplash Dataset - Lite dataset using text."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e65fedaf-1054-45fa-84ab-de45bc457413",
   "metadata": {},
   "source": [
    "## __0. Prepare Dataset and Model__\n",
    "\n",
    "As mentioned in the [ThanoSQL Workspace](https://docs.thanosql.ai/1.5/en/getting_started/paas/workspace/lab/), you must create an API token and run the query below to execute the query of ThanoSQL. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "060e39f0-21fc-4df8-b3bb-caeb4749e5d0",
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext thanosql\n",
    "%thanosql API_TOKEN=<Issued_API_TOKEN>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "073a6182",
   "metadata": {},
   "source": [
    "### __Prepare Dataset__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "cd073cb7",
   "metadata": {
    "execution": {
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     "iopub.status.busy": "2023-08-30T07:24:04.340944Z",
     "iopub.status.idle": "2023-08-30T07:24:08.692228Z",
     "shell.execute_reply": "2023-08-30T07:24:08.687939Z",
     "shell.execute_reply.started": "2023-08-30T07:24:04.341341Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Success\n"
     ]
    }
   ],
   "source": [
    "%%thanosql\n",
    "GET THANOSQL DATASET unsplash_data\n",
    "OPTIONS (overwrite=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1ec2d024",
   "metadata": {},
   "source": [
    "<div class=\"admonition note\">\n",
    "    <h4 class=\"admonition-title\">Query Details</h4>\n",
    "    <ul>\n",
    "        <li>\"<strong>GET THANOSQL DATASET</strong>\" downloads the specified dataset to the workspace.</li>\n",
    "        <li>\"<strong>OPTIONS</strong>\" specifies the option values to be used for the <strong>GET THANOSQL DATASET</strong> clause.\n",
    "        <ul>\n",
    "            <li>\"overwrite\": determines whether to overwrite a dataset if it already exists. If set as True, the old dataset is replaced with the new dataset (bool, optional, True|False, default: False)</li>\n",
    "        </ul>\n",
    "        </li>\n",
    "    </ul>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ade49a9f-600a-4f67-8a9a-52ca297b212e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-30T07:24:08.709808Z",
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     "iopub.status.idle": "2023-08-30T07:24:09.499635Z",
     "shell.execute_reply": "2023-08-30T07:24:09.498564Z",
     "shell.execute_reply.started": "2023-08-30T07:24:08.709778Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Success\n"
     ]
    }
   ],
   "source": [
    "%%thanosql\n",
    "COPY unsplash_data \n",
    "OPTIONS (if_exists='replace')\n",
    "FROM 'thanosql-dataset/unsplash_data/unsplash.csv'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d6845948",
   "metadata": {},
   "source": [
    "<div class=\"admonition note\">\n",
    "    <h4 class=\"admonition-title\">Query Details</h4>\n",
    "    <ul>\n",
    "        <li>\"<strong>COPY</strong>\" specifies the name of the dataset to be saved as a database table.</li>\n",
    "        <li>\"<strong>OPTIONS</strong>\" specifies the option values to be used for the <strong>COPY</strong> clause.\n",
    "        <ul>\n",
    "           <li>\"if_exists\": determines how the function should handle the case where the table already exists, it can either raise an error, append to the existing table, or replace the existing table (str, optional, 'fail'|'replace'|'append', default: 'fail')</li>\n",
    "        </ul>\n",
    "        </li>\n",
    "    </ul>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "63f797e8",
   "metadata": {},
   "source": [
    "### __Prepare the Model__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f3f326b8",
   "metadata": {
    "execution": {
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     "shell.execute_reply.started": "2023-08-30T07:24:09.501702Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Success\n"
     ]
    }
   ],
   "source": [
    "%%thanosql\n",
    "GET THANOSQL MODEL clip\n",
    "OPTIONS (\n",
    "    model_name='tutorial_search_clip',\n",
    "    overwrite=True\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f38bd64f",
   "metadata": {},
   "source": [
    "<div class=\"admonition note\">\n",
    "    <h4 class=\"admonition-title\">Query Details</h4>\n",
    "    <ul>\n",
    "        <li>\"<strong>GET THANOSQL MODEL</strong>\" downloads the specified model to the workspace.</li>\n",
    "        <li>\"<strong>OPTIONS</strong>\" specifies the option values to be used for the <strong>GET THANOSQL MODEL</strong> clause.\n",
    "        <ul>\n",
    "            <li>\"model_name\": the model name to store a given model in the ThanoSQL workspace (str, optional)</li>\n",
    "            <li>\"overwrite\": determines whether to overwrite a model if it already exists. If set as True, the old model is replaced with the new model (bool, optional, True|False, default: False)</li>\n",
    "        </ul>\n",
    "        </li>\n",
    "    </ul>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "452bf799-d5dc-4a41-9405-cff7a5023189",
   "metadata": {},
   "source": [
    "## __1. Check Dataset__\n",
    "\n",
    "For this tutorial, we use the __unsplash_data__ table located in the ThanoSQL workspace database. Run the query below to check the contents of the table."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "772b841e-61e1-4c15-aecf-f99435bc6763",
   "metadata": {
    "execution": {
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     "shell.execute_reply": "2023-08-30T07:24:11.528824Z",
     "shell.execute_reply.started": "2023-08-30T07:24:10.743471Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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>photo_id</th>\n",
       "      <th>image_path</th>\n",
       "      <th>photo_image_url</th>\n",
       "      <th>photo_description</th>\n",
       "      <th>ai_description</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>XMyPniM9LF0</td>\n",
       "      <td>thanosql-dataset/unsplash_data/XMyPniM9LF0.jpg</td>\n",
       "      <td>https://images.unsplash.com/uploads/1411949294...</td>\n",
       "      <td>Woman exploring a forest</td>\n",
       "      <td>woman walking in the middle of forest</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>rDLBArZUl1c</td>\n",
       "      <td>thanosql-dataset/unsplash_data/rDLBArZUl1c.jpg</td>\n",
       "      <td>https://images.unsplash.com/photo-141633941111...</td>\n",
       "      <td>Succulents in a terrarium</td>\n",
       "      <td>succulent plants in clear glass terrarium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>cNDGZ2sQ3Bo</td>\n",
       "      <td>thanosql-dataset/unsplash_data/cNDGZ2sQ3Bo.jpg</td>\n",
       "      <td>https://images.unsplash.com/photo-142014251503...</td>\n",
       "      <td>Rural winter mountainside</td>\n",
       "      <td>rocky mountain under gray sky at daytime</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>iuZ_D1eoq9k</td>\n",
       "      <td>thanosql-dataset/unsplash_data/iuZ_D1eoq9k.jpg</td>\n",
       "      <td>https://images.unsplash.com/photo-141487280988...</td>\n",
       "      <td>Poppy seeds and flowers</td>\n",
       "      <td>red common poppy flower selective focus phography</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>BeD3vjQ8SI0</td>\n",
       "      <td>thanosql-dataset/unsplash_data/BeD3vjQ8SI0.jpg</td>\n",
       "      <td>https://images.unsplash.com/photo-141700759404...</td>\n",
       "      <td>Silhouette near dark trees</td>\n",
       "      <td>trees during night time</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      photo_id                                      image_path  \\\n",
       "0  XMyPniM9LF0  thanosql-dataset/unsplash_data/XMyPniM9LF0.jpg   \n",
       "1  rDLBArZUl1c  thanosql-dataset/unsplash_data/rDLBArZUl1c.jpg   \n",
       "2  cNDGZ2sQ3Bo  thanosql-dataset/unsplash_data/cNDGZ2sQ3Bo.jpg   \n",
       "3  iuZ_D1eoq9k  thanosql-dataset/unsplash_data/iuZ_D1eoq9k.jpg   \n",
       "4  BeD3vjQ8SI0  thanosql-dataset/unsplash_data/BeD3vjQ8SI0.jpg   \n",
       "\n",
       "                                     photo_image_url  \\\n",
       "0  https://images.unsplash.com/uploads/1411949294...   \n",
       "1  https://images.unsplash.com/photo-141633941111...   \n",
       "2  https://images.unsplash.com/photo-142014251503...   \n",
       "3  https://images.unsplash.com/photo-141487280988...   \n",
       "4  https://images.unsplash.com/photo-141700759404...   \n",
       "\n",
       "            photo_description  \\\n",
       "0    Woman exploring a forest   \n",
       "1   Succulents in a terrarium   \n",
       "2   Rural winter mountainside   \n",
       "3     Poppy seeds and flowers   \n",
       "4  Silhouette near dark trees   \n",
       "\n",
       "                                      ai_description  \n",
       "0              woman walking in the middle of forest  \n",
       "1          succulent plants in clear glass terrarium  \n",
       "2           rocky mountain under gray sky at daytime  \n",
       "3  red common poppy flower selective focus phography  \n",
       "4                            trees during night time  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%thanosql\n",
    "SELECT *\n",
    "FROM unsplash_data\n",
    "LIMIT 5"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "460bdb35",
   "metadata": {},
   "source": [
    "<div class=\"admonition note\">\n",
    "    <h4 class=\"admonition-title\">Understanding the Data Table</h4>\n",
    "    <p>The <strong>unsplash_data</strong> table contains the following information.</p>\n",
    "    <ul>\n",
    "        <li>photo_id: unique id column of the image.</li>\n",
    "        <li>image_path: the name of the column that stores the image path.</li>\n",
    "        <li>photo_image_url: the name of the column indicating the address of the original image in the unsplash website.</li>\n",
    "        <li>photo_description: the name of the column that represents a short description of the image.</li>\n",
    "        <li>ai_description: the name of the column that describes the image generated by AI.</li>\n",
    "    </ul>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
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     "text": [
      "/home/jovyan/thanosql-dataset/unsplash_data/XMyPniM9LF0.jpg\n"
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    },
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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/jpeg": {
       "height": 240,
       "width": 240
      }
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/jovyan/thanosql-dataset/unsplash_data/rDLBArZUl1c.jpg\n"
     ]
    },
    {
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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/jpeg": {
       "height": 240,
       "width": 240
      }
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/jovyan/thanosql-dataset/unsplash_data/cNDGZ2sQ3Bo.jpg\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/jpeg": {
       "height": 240,
       "width": 240
      }
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/jovyan/thanosql-dataset/unsplash_data/iuZ_D1eoq9k.jpg\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/jpeg": {
       "height": 240,
       "width": 240
      }
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/jovyan/thanosql-dataset/unsplash_data/BeD3vjQ8SI0.jpg\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/jpeg": {
       "height": 240,
       "width": 240
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%thanosql\n",
    "PRINT IMAGE \n",
    "AS\n",
    "SELECT image_path \n",
    "FROM unsplash_data \n",
    "LIMIT 5"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5094f708-953c-454e-b8b0-961fa50cd979",
   "metadata": {},
   "source": [
    "## __2. Convert Using a Pre-built Model__"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5963aa2e",
   "metadata": {},
   "source": [
    "<div class=\"admonition danger\">\n",
    "    <h4 class=\"admonition-title\">Notes</h4>\n",
    "    <p>Because the text-image algorithm takes a long time to train and since it uses a pre-built model that used 400 million datasets to train, we omit the training process using the \"<strong>BUILD MODEL</strong>\" query in this tutorial. The <strong>tutorial_search_clip</strong> model named above utilizes a pre-built model that uses <strong>CLIPEn</strong>. When the \"<strong>CONVERT USING</strong>\" statement is executed, a user-defined column(default: convert_result) containing the vectorized images is created. When the \"<strong>SEARCH IMAGE</strong>\" statement is executed, a user-defined column(default: search_result) containing the similarities is created.\n",
    "</p>\n",
    "</div>\n",
    "\n",
    "To vectorize the __unsplash_data__ images, run the \"__CONVERT USING__\" query. Results are stored in the new convert_result column.  \n",
    "(Estimated duration of query execution: 3 min)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "c748d8ef-0a7c-4e0f-96a1-8b63db98f028",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-30T07:24:12.114906Z",
     "iopub.status.busy": "2023-08-30T07:24:12.114672Z",
     "iopub.status.idle": "2023-08-30T07:28:00.322975Z",
     "shell.execute_reply": "2023-08-30T07:28:00.322074Z",
     "shell.execute_reply.started": "2023-08-30T07:24:12.114883Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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>photo_id</th>\n",
       "      <th>image_path</th>\n",
       "      <th>photo_image_url</th>\n",
       "      <th>photo_description</th>\n",
       "      <th>ai_description</th>\n",
       "      <th>convert_result</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>XMyPniM9LF0</td>\n",
       "      <td>thanosql-dataset/unsplash_data/XMyPniM9LF0.jpg</td>\n",
       "      <td>https://images.unsplash.com/uploads/1411949294...</td>\n",
       "      <td>Woman exploring a forest</td>\n",
       "      <td>woman walking in the middle of forest</td>\n",
       "      <td>[b'\\xf4', b'\\xc6', b'2', b'\\xbe', b'\\xb1', b'\"...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>rDLBArZUl1c</td>\n",
       "      <td>thanosql-dataset/unsplash_data/rDLBArZUl1c.jpg</td>\n",
       "      <td>https://images.unsplash.com/photo-141633941111...</td>\n",
       "      <td>Succulents in a terrarium</td>\n",
       "      <td>succulent plants in clear glass terrarium</td>\n",
       "      <td>[b'F', b'\\x08', b'\\xbf', b'\\xbe', b'\\xc5', b'\\...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>cNDGZ2sQ3Bo</td>\n",
       "      <td>thanosql-dataset/unsplash_data/cNDGZ2sQ3Bo.jpg</td>\n",
       "      <td>https://images.unsplash.com/photo-142014251503...</td>\n",
       "      <td>Rural winter mountainside</td>\n",
       "      <td>rocky mountain under gray sky at daytime</td>\n",
       "      <td>[b'G', b'\\x07', b'\\xb8', b'\\xbe', b'C', b'\\x93...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>iuZ_D1eoq9k</td>\n",
       "      <td>thanosql-dataset/unsplash_data/iuZ_D1eoq9k.jpg</td>\n",
       "      <td>https://images.unsplash.com/photo-141487280988...</td>\n",
       "      <td>Poppy seeds and flowers</td>\n",
       "      <td>red common poppy flower selective focus phography</td>\n",
       "      <td>[b'H', b'\\x19', b'\\xae', b'&lt;', b'=', b'\\xbe', ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>BeD3vjQ8SI0</td>\n",
       "      <td>thanosql-dataset/unsplash_data/BeD3vjQ8SI0.jpg</td>\n",
       "      <td>https://images.unsplash.com/photo-141700759404...</td>\n",
       "      <td>Silhouette near dark trees</td>\n",
       "      <td>trees during night time</td>\n",
       "      <td>[b'\\xaa', b'\\x8c', b'\\x88', b'\\xbe', b'\\xbb', ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24963</th>\n",
       "      <td>c7OrOMxrurA</td>\n",
       "      <td>thanosql-dataset/unsplash_data/c7OrOMxrurA.jpg</td>\n",
       "      <td>https://images.unsplash.com/photo-159300793778...</td>\n",
       "      <td>None</td>\n",
       "      <td>black metal fence during daytime</td>\n",
       "      <td>[b'N', b'\\x88', b'\\n', b'\\xbe', b'p', b'\\xcf',...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24964</th>\n",
       "      <td>15IuQ5a0Qwg</td>\n",
       "      <td>thanosql-dataset/unsplash_data/15IuQ5a0Qwg.jpg</td>\n",
       "      <td>https://images.unsplash.com/photo-159296761254...</td>\n",
       "      <td>Pearl earrings and seashells</td>\n",
       "      <td>white and brown seashell on white surface</td>\n",
       "      <td>[b':', b'/', b'\\xa1', b'\\xbe', b'\\xf4', b'\\xbb...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24965</th>\n",
       "      <td>w8nrcXz8pwk</td>\n",
       "      <td>thanosql-dataset/unsplash_data/w8nrcXz8pwk.jpg</td>\n",
       "      <td>https://images.unsplash.com/photo-159299937329...</td>\n",
       "      <td>None</td>\n",
       "      <td>leopard on brown tree trunk during daytime</td>\n",
       "      <td>[b'\\x96', b'i', b'\\x96', b'=', b'\\xb6', b'\\x96...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24966</th>\n",
       "      <td>n1jHrRhehUI</td>\n",
       "      <td>thanosql-dataset/unsplash_data/n1jHrRhehUI.jpg</td>\n",
       "      <td>https://images.unsplash.com/photo-159192792878...</td>\n",
       "      <td>Floral truck in the streets of Rome</td>\n",
       "      <td>woman in beige coat and white hat standing on ...</td>\n",
       "      <td>[b'\\x82', b'\\xf0', b'c', b'=', b'`', b'e', b'm...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24967</th>\n",
       "      <td>Ic74ACoaAX0</td>\n",
       "      <td>thanosql-dataset/unsplash_data/Ic74ACoaAX0.jpg</td>\n",
       "      <td>https://images.unsplash.com/photo-159240763188...</td>\n",
       "      <td>None</td>\n",
       "      <td>green plants on brown rocky mountain under blu...</td>\n",
       "      <td>[b'U', b'\\x19', b'%', b'\\xbe', b'!', b'Y', b'+...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>24968 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          photo_id                                      image_path  \\\n",
       "0      XMyPniM9LF0  thanosql-dataset/unsplash_data/XMyPniM9LF0.jpg   \n",
       "1      rDLBArZUl1c  thanosql-dataset/unsplash_data/rDLBArZUl1c.jpg   \n",
       "2      cNDGZ2sQ3Bo  thanosql-dataset/unsplash_data/cNDGZ2sQ3Bo.jpg   \n",
       "3      iuZ_D1eoq9k  thanosql-dataset/unsplash_data/iuZ_D1eoq9k.jpg   \n",
       "4      BeD3vjQ8SI0  thanosql-dataset/unsplash_data/BeD3vjQ8SI0.jpg   \n",
       "...            ...                                             ...   \n",
       "24963  c7OrOMxrurA  thanosql-dataset/unsplash_data/c7OrOMxrurA.jpg   \n",
       "24964  15IuQ5a0Qwg  thanosql-dataset/unsplash_data/15IuQ5a0Qwg.jpg   \n",
       "24965  w8nrcXz8pwk  thanosql-dataset/unsplash_data/w8nrcXz8pwk.jpg   \n",
       "24966  n1jHrRhehUI  thanosql-dataset/unsplash_data/n1jHrRhehUI.jpg   \n",
       "24967  Ic74ACoaAX0  thanosql-dataset/unsplash_data/Ic74ACoaAX0.jpg   \n",
       "\n",
       "                                         photo_image_url  \\\n",
       "0      https://images.unsplash.com/uploads/1411949294...   \n",
       "1      https://images.unsplash.com/photo-141633941111...   \n",
       "2      https://images.unsplash.com/photo-142014251503...   \n",
       "3      https://images.unsplash.com/photo-141487280988...   \n",
       "4      https://images.unsplash.com/photo-141700759404...   \n",
       "...                                                  ...   \n",
       "24963  https://images.unsplash.com/photo-159300793778...   \n",
       "24964  https://images.unsplash.com/photo-159296761254...   \n",
       "24965  https://images.unsplash.com/photo-159299937329...   \n",
       "24966  https://images.unsplash.com/photo-159192792878...   \n",
       "24967  https://images.unsplash.com/photo-159240763188...   \n",
       "\n",
       "                         photo_description  \\\n",
       "0                 Woman exploring a forest   \n",
       "1                Succulents in a terrarium   \n",
       "2                Rural winter mountainside   \n",
       "3                  Poppy seeds and flowers   \n",
       "4               Silhouette near dark trees   \n",
       "...                                    ...   \n",
       "24963                                 None   \n",
       "24964         Pearl earrings and seashells   \n",
       "24965                                 None   \n",
       "24966  Floral truck in the streets of Rome   \n",
       "24967                                 None   \n",
       "\n",
       "                                          ai_description  \\\n",
       "0                  woman walking in the middle of forest   \n",
       "1              succulent plants in clear glass terrarium   \n",
       "2               rocky mountain under gray sky at daytime   \n",
       "3      red common poppy flower selective focus phography   \n",
       "4                                trees during night time   \n",
       "...                                                  ...   \n",
       "24963                   black metal fence during daytime   \n",
       "24964          white and brown seashell on white surface   \n",
       "24965         leopard on brown tree trunk during daytime   \n",
       "24966  woman in beige coat and white hat standing on ...   \n",
       "24967  green plants on brown rocky mountain under blu...   \n",
       "\n",
       "                                          convert_result  \n",
       "0      [b'\\xf4', b'\\xc6', b'2', b'\\xbe', b'\\xb1', b'\"...  \n",
       "1      [b'F', b'\\x08', b'\\xbf', b'\\xbe', b'\\xc5', b'\\...  \n",
       "2      [b'G', b'\\x07', b'\\xb8', b'\\xbe', b'C', b'\\x93...  \n",
       "3      [b'H', b'\\x19', b'\\xae', b'<', b'=', b'\\xbe', ...  \n",
       "4      [b'\\xaa', b'\\x8c', b'\\x88', b'\\xbe', b'\\xbb', ...  \n",
       "...                                                  ...  \n",
       "24963  [b'N', b'\\x88', b'\\n', b'\\xbe', b'p', b'\\xcf',...  \n",
       "24964  [b':', b'/', b'\\xa1', b'\\xbe', b'\\xf4', b'\\xbb...  \n",
       "24965  [b'\\x96', b'i', b'\\x96', b'=', b'\\xb6', b'\\x96...  \n",
       "24966  [b'\\x82', b'\\xf0', b'c', b'=', b'`', b'e', b'm...  \n",
       "24967  [b'U', b'\\x19', b'%', b'\\xbe', b'!', b'Y', b'+...  \n",
       "\n",
       "[24968 rows x 6 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%thanosql\n",
    "CONVERT USING tutorial_search_clip\n",
    "OPTIONS (\n",
    "    image_col='image_path', \n",
    "    convert_type='image',\n",
    "    batch_size=128,\n",
    "    result_col='convert_result'\n",
    "    )\n",
    "AS \n",
    "SELECT *\n",
    "FROM unsplash_data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ccb189a3",
   "metadata": {},
   "source": [
    "<div class=\"admonition note\">\n",
    "    <h4 class=\"admonition-title\">Query Details</h4>\n",
    "    <ul>\n",
    "        <li>\"<strong>CONVERT USING</strong>\" uses the <strong>tutorial_search_clip</strong> model as an algorithm for image vectorization.</li>\n",
    "        <li>\"<strong>OPTIONS</strong>\" specifies the option values required for image vectorization.\n",
    "        <ul>\n",
    "            <li>\"image_col\": the name of the column containing the image path (str, default: 'image_path')</li>\n",
    "            <li>\"convert_type\": file type for vectorization (str, 'image'|'text', default: 'image')</li>\n",
    "            <li>\"batch_size\": the size of dataset bundle utilized in a single cycle of training. The larger the number, the better the learning performance. However, considering the size of the memory, only 128 is used in this case (int, optional, default: 16) </li>\n",
    "            <li>\"result_col\": defines the column name that contains the vectorized results (str, optional, default: 'convert_result')</li>\n",
    "        </ul>\n",
    "        </li>\n",
    "    </ul>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f3808104-8e46-4283-a5f8-3c5a997a176b",
   "metadata": {},
   "source": [
    "Execute the \"__CONVERT USING__\" query statement below and save the converted result in a new table so that it can be used with other __ThanoSQL__ query statements."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "04494775",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-30T07:31:59.294321Z",
     "iopub.status.busy": "2023-08-30T07:31:59.293903Z",
     "iopub.status.idle": "2023-08-30T07:35:47.434641Z",
     "shell.execute_reply": "2023-08-30T07:35:47.433678Z",
     "shell.execute_reply.started": "2023-08-30T07:31:59.294297Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Success\n"
     ]
    }
   ],
   "source": [
    "%%thanosql\n",
    "CREATE TABLE unsplash_data_convert_en AS \n",
    "SELECT * FROM ( \n",
    "    CONVERT USING tutorial_search_clip\n",
    "    OPTIONS (\n",
    "        image_col='image_path', \n",
    "        convert_type='image',\n",
    "        batch_size=128,\n",
    "        result_col='convert_result'\n",
    "        )\n",
    "    AS \n",
    "    SELECT *\n",
    "    FROM unsplash_data\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5c2b1923-1f24-470e-8221-3ba7b4d1a52c",
   "metadata": {},
   "source": [
    "## __3. Search__\n",
    "\n",
    "Perform a text-based image search using the \"__SEARCH IMAGE__\" query statement and the __tutorial_search_clip__ model created. Execute the following query with the text value of \"a black cat\" and embedded __unsplash_data__ images to calculate the similarity. The result values are saved into the newly added search_result column."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "9bc17382-5e4f-4c60-8cf2-f56f2d9f9961",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-30T07:35:47.437488Z",
     "iopub.status.busy": "2023-08-30T07:35:47.436808Z",
     "iopub.status.idle": "2023-08-30T07:35:51.014272Z",
     "shell.execute_reply": "2023-08-30T07:35:51.013334Z",
     "shell.execute_reply.started": "2023-08-30T07:35:47.437461Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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>photo_id</th>\n",
       "      <th>image_path</th>\n",
       "      <th>photo_image_url</th>\n",
       "      <th>photo_description</th>\n",
       "      <th>ai_description</th>\n",
       "      <th>convert_result</th>\n",
       "      <th>search_result</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>UMyfDjQ6Ep8</td>\n",
       "      <td>thanosql-dataset/unsplash_data/UMyfDjQ6Ep8.jpg</td>\n",
       "      <td>https://images.unsplash.com/photo-157712719502...</td>\n",
       "      <td>None</td>\n",
       "      <td>black cat</td>\n",
       "      <td>[b'[', b'Z', b'\\xfe', b'&gt;', b'\\x94', b'\\x95', ...</td>\n",
       "      <td>0.316560</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7XJ3d0xK444</td>\n",
       "      <td>thanosql-dataset/unsplash_data/7XJ3d0xK444.jpg</td>\n",
       "      <td>https://images.unsplash.com/photo-157217373317...</td>\n",
       "      <td>None</td>\n",
       "      <td>black cat</td>\n",
       "      <td>[b'\\x9c', b'\\xec', b'\\x80', b'&gt;', b'#', b'j', ...</td>\n",
       "      <td>0.311931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>m8HsSWh-y6E</td>\n",
       "      <td>thanosql-dataset/unsplash_data/m8HsSWh-y6E.jpg</td>\n",
       "      <td>https://images.unsplash.com/photo-156855266009...</td>\n",
       "      <td>simon the kitty.</td>\n",
       "      <td>silver tabby cat</td>\n",
       "      <td>[b'\\xff', b')', b'\\xa1', b'&gt;', b'O', b'\\xe2', ...</td>\n",
       "      <td>0.310819</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6ST6S6i9IGM</td>\n",
       "      <td>thanosql-dataset/unsplash_data/6ST6S6i9IGM.jpg</td>\n",
       "      <td>https://images.unsplash.com/photo-1548620848-d...</td>\n",
       "      <td>The cutest black cat to wake up to on a Sunday...</td>\n",
       "      <td>close-up photography of bombay cat</td>\n",
       "      <td>[b'Z', b'`', b'x', b'&gt;', b'\\x83', b'E', b'\\x15...</td>\n",
       "      <td>0.310214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>aFyD5aWKu6k</td>\n",
       "      <td>thanosql-dataset/unsplash_data/aFyD5aWKu6k.jpg</td>\n",
       "      <td>https://images.unsplash.com/photo-157850934606...</td>\n",
       "      <td>None</td>\n",
       "      <td>black cat</td>\n",
       "      <td>[b'\\xc6', b'\\x97', b'V', b'&gt;', b'\\x0f', b'@', ...</td>\n",
       "      <td>0.309158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>VQ41v-gnd1M</td>\n",
       "      <td>thanosql-dataset/unsplash_data/VQ41v-gnd1M.jpg</td>\n",
       "      <td>https://images.unsplash.com/photo-158956048611...</td>\n",
       "      <td>None</td>\n",
       "      <td>purple smoke in black background</td>\n",
       "      <td>[b'\\xb7', b'\\xba', b'\\x16', b'&gt;', b'G', b'l', ...</td>\n",
       "      <td>0.221887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>AtSgtZcxZFc</td>\n",
       "      <td>thanosql-dataset/unsplash_data/AtSgtZcxZFc.jpg</td>\n",
       "      <td>https://images.unsplash.com/photo-150329107570...</td>\n",
       "      <td>In the Smoke of Thinking</td>\n",
       "      <td>None</td>\n",
       "      <td>[b'\\xa8', b'\\xa7', b'\\xb3', b'\\xbc', b'\\xd4', ...</td>\n",
       "      <td>0.221874</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>XzOMokbcp0Q</td>\n",
       "      <td>thanosql-dataset/unsplash_data/XzOMokbcp0Q.jpg</td>\n",
       "      <td>https://images.unsplash.com/photo-157616182589...</td>\n",
       "      <td>None</td>\n",
       "      <td>green-leafed plant during daytime</td>\n",
       "      <td>[b'\\xd8', b'\\x94', b'\\xc1', b'\\xbd', b'T', b'\\...</td>\n",
       "      <td>0.221858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>aWcJuh1mUhc</td>\n",
       "      <td>thanosql-dataset/unsplash_data/aWcJuh1mUhc.jpg</td>\n",
       "      <td>https://images.unsplash.com/photo-1544460671-b...</td>\n",
       "      <td>None</td>\n",
       "      <td>brown tabby cat on bed</td>\n",
       "      <td>[b',', b'\\x9a', b'Y', b'&gt;', b'\\xf4', b'\\x93', ...</td>\n",
       "      <td>0.221827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>Zs6T2rub2zw</td>\n",
       "      <td>thanosql-dataset/unsplash_data/Zs6T2rub2zw.jpg</td>\n",
       "      <td>https://images.unsplash.com/photo-158179166724...</td>\n",
       "      <td>None</td>\n",
       "      <td>green pine trees covered with snow</td>\n",
       "      <td>[b'?', b'\\x8e', b'\\x1c', b'\\xbf', b'^', b'\\xa4...</td>\n",
       "      <td>0.221822</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        photo_id                                      image_path  \\\n",
       "0    UMyfDjQ6Ep8  thanosql-dataset/unsplash_data/UMyfDjQ6Ep8.jpg   \n",
       "1    7XJ3d0xK444  thanosql-dataset/unsplash_data/7XJ3d0xK444.jpg   \n",
       "2    m8HsSWh-y6E  thanosql-dataset/unsplash_data/m8HsSWh-y6E.jpg   \n",
       "3    6ST6S6i9IGM  thanosql-dataset/unsplash_data/6ST6S6i9IGM.jpg   \n",
       "4    aFyD5aWKu6k  thanosql-dataset/unsplash_data/aFyD5aWKu6k.jpg   \n",
       "..           ...                                             ...   \n",
       "995  VQ41v-gnd1M  thanosql-dataset/unsplash_data/VQ41v-gnd1M.jpg   \n",
       "996  AtSgtZcxZFc  thanosql-dataset/unsplash_data/AtSgtZcxZFc.jpg   \n",
       "997  XzOMokbcp0Q  thanosql-dataset/unsplash_data/XzOMokbcp0Q.jpg   \n",
       "998  aWcJuh1mUhc  thanosql-dataset/unsplash_data/aWcJuh1mUhc.jpg   \n",
       "999  Zs6T2rub2zw  thanosql-dataset/unsplash_data/Zs6T2rub2zw.jpg   \n",
       "\n",
       "                                       photo_image_url  \\\n",
       "0    https://images.unsplash.com/photo-157712719502...   \n",
       "1    https://images.unsplash.com/photo-157217373317...   \n",
       "2    https://images.unsplash.com/photo-156855266009...   \n",
       "3    https://images.unsplash.com/photo-1548620848-d...   \n",
       "4    https://images.unsplash.com/photo-157850934606...   \n",
       "..                                                 ...   \n",
       "995  https://images.unsplash.com/photo-158956048611...   \n",
       "996  https://images.unsplash.com/photo-150329107570...   \n",
       "997  https://images.unsplash.com/photo-157616182589...   \n",
       "998  https://images.unsplash.com/photo-1544460671-b...   \n",
       "999  https://images.unsplash.com/photo-158179166724...   \n",
       "\n",
       "                                     photo_description  \\\n",
       "0                                                 None   \n",
       "1                                                 None   \n",
       "2                                     simon the kitty.   \n",
       "3    The cutest black cat to wake up to on a Sunday...   \n",
       "4                                                 None   \n",
       "..                                                 ...   \n",
       "995                                               None   \n",
       "996                           In the Smoke of Thinking   \n",
       "997                                               None   \n",
       "998                                               None   \n",
       "999                                               None   \n",
       "\n",
       "                         ai_description  \\\n",
       "0                             black cat   \n",
       "1                             black cat   \n",
       "2                      silver tabby cat   \n",
       "3    close-up photography of bombay cat   \n",
       "4                             black cat   \n",
       "..                                  ...   \n",
       "995    purple smoke in black background   \n",
       "996                                None   \n",
       "997   green-leafed plant during daytime   \n",
       "998              brown tabby cat on bed   \n",
       "999  green pine trees covered with snow   \n",
       "\n",
       "                                        convert_result  search_result  \n",
       "0    [b'[', b'Z', b'\\xfe', b'>', b'\\x94', b'\\x95', ...       0.316560  \n",
       "1    [b'\\x9c', b'\\xec', b'\\x80', b'>', b'#', b'j', ...       0.311931  \n",
       "2    [b'\\xff', b')', b'\\xa1', b'>', b'O', b'\\xe2', ...       0.310819  \n",
       "3    [b'Z', b'`', b'x', b'>', b'\\x83', b'E', b'\\x15...       0.310214  \n",
       "4    [b'\\xc6', b'\\x97', b'V', b'>', b'\\x0f', b'@', ...       0.309158  \n",
       "..                                                 ...            ...  \n",
       "995  [b'\\xb7', b'\\xba', b'\\x16', b'>', b'G', b'l', ...       0.221887  \n",
       "996  [b'\\xa8', b'\\xa7', b'\\xb3', b'\\xbc', b'\\xd4', ...       0.221874  \n",
       "997  [b'\\xd8', b'\\x94', b'\\xc1', b'\\xbd', b'T', b'\\...       0.221858  \n",
       "998  [b',', b'\\x9a', b'Y', b'>', b'\\xf4', b'\\x93', ...       0.221827  \n",
       "999  [b'?', b'\\x8e', b'\\x1c', b'\\xbf', b'^', b'\\xa4...       0.221822  \n",
       "\n",
       "[1000 rows x 7 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%thanosql\n",
    "SEARCH IMAGE \n",
    "USING tutorial_search_clip\n",
    "OPTIONS (\n",
    "    search_by='text',\n",
    "    search_input='a black cat',\n",
    "    emb_col='convert_result',\n",
    "    result_col='search_result'\n",
    "    )\n",
    "AS \n",
    "SELECT * \n",
    "FROM unsplash_data_convert_en"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3e614d40",
   "metadata": {},
   "source": [
    "<div class=\"admonition note\">\n",
    "    <h4 class=\"admonition-title\">Query Details</h4>\n",
    "    <ul>\n",
    "        <li>\"<strong>SEARCH IMAGE</strong>\" searches for images. Input the text description of the image using the \"text\" variable. </li>\n",
    "        <li>\"<strong>USING</strong>\" specifies <strong>tutorial_search_clip</strong> as the model.</li>\n",
    "        <li>\"<strong>OPTIONS</strong>\" specifies the options to be used for image searching.\n",
    "        <ul>\n",
    "                <li>\"search_by\": defines the image|text|audio|video type to be used for the search (str)</li>\n",
    "                <li>\"search_input\": defines the input to be used for the search (str)</li>\n",
    "                <li>\"emb_col\": the column that contains the vectorized results (str)</li>\n",
    "                <li>\"result_col\": defines the name of the column that contains the search results (str, optional, default: 'search_result')</li>\n",
    "        </ul>\n",
    "        </li>\n",
    "    </ul>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "de2009d0",
   "metadata": {},
   "source": [
    "Execute the query below to view the similarity of the five most similar images to 'a black cat'."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "e29188e1-4647-4402-8b77-0d73afee24cf",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-30T07:35:51.015889Z",
     "iopub.status.busy": "2023-08-30T07:35:51.015483Z",
     "iopub.status.idle": "2023-08-30T07:35:54.476381Z",
     "shell.execute_reply": "2023-08-30T07:35:54.475373Z",
     "shell.execute_reply.started": "2023-08-30T07:35:51.015867Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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>image_path</th>\n",
       "      <th>search_result</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>thanosql-dataset/unsplash_data/UMyfDjQ6Ep8.jpg</td>\n",
       "      <td>0.316560</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>thanosql-dataset/unsplash_data/7XJ3d0xK444.jpg</td>\n",
       "      <td>0.311931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>thanosql-dataset/unsplash_data/m8HsSWh-y6E.jpg</td>\n",
       "      <td>0.310819</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>thanosql-dataset/unsplash_data/6ST6S6i9IGM.jpg</td>\n",
       "      <td>0.310214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>thanosql-dataset/unsplash_data/aFyD5aWKu6k.jpg</td>\n",
       "      <td>0.309158</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       image_path  search_result\n",
       "0  thanosql-dataset/unsplash_data/UMyfDjQ6Ep8.jpg       0.316560\n",
       "1  thanosql-dataset/unsplash_data/7XJ3d0xK444.jpg       0.311931\n",
       "2  thanosql-dataset/unsplash_data/m8HsSWh-y6E.jpg       0.310819\n",
       "3  thanosql-dataset/unsplash_data/6ST6S6i9IGM.jpg       0.310214\n",
       "4  thanosql-dataset/unsplash_data/aFyD5aWKu6k.jpg       0.309158"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%thanosql\n",
    "SELECT image_path, search_result \n",
    "FROM (\n",
    "    SEARCH IMAGE \n",
    "    USING tutorial_search_clip\n",
    "    OPTIONS (\n",
    "        search_by='text',\n",
    "        search_input='a black cat',\n",
    "        emb_col='convert_result',\n",
    "        result_col='search_result',\n",
    "        top_k=5\n",
    "        )\n",
    "    AS \n",
    "    SELECT * \n",
    "    FROM unsplash_data_convert_en\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f9a32a0a",
   "metadata": {},
   "source": [
    "<div class=\"admonition note\">\n",
    "    <h4 class=\"admonition-title\">Query Details</h4>\n",
    "    <ul>\n",
    "        <li>\"<strong>SEARCH IMAGE</strong>\" calculates and returns the similarity between the input text and the image.</li>\n",
    "        <li>The first \"<strong>SELECT</strong>\" returns the image_path column and the search_result column from the result nested query.</li>\n",
    "    </ul>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5449f9ca",
   "metadata": {},
   "source": [
    "To immediately print out the resulting images, nest the previous query with a \"__PRINT__\" clause. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "276f907e-b8f9-48a7-82a0-efdd4ef4b5d8",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-30T07:35:54.478806Z",
     "iopub.status.busy": "2023-08-30T07:35:54.478560Z",
     "iopub.status.idle": "2023-08-30T07:35:57.823026Z",
     "shell.execute_reply": "2023-08-30T07:35:57.822196Z",
     "shell.execute_reply.started": "2023-08-30T07:35:54.478781Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/jovyan/thanosql-dataset/unsplash_data/UMyfDjQ6Ep8.jpg\n"
     ]
    },
    {
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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/jpeg": {
       "height": 240,
       "width": 240
      }
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/jovyan/thanosql-dataset/unsplash_data/7XJ3d0xK444.jpg\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/jpeg": {
       "height": 240,
       "width": 240
      }
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/jovyan/thanosql-dataset/unsplash_data/m8HsSWh-y6E.jpg\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/jpeg": {
       "height": 240,
       "width": 240
      }
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/jovyan/thanosql-dataset/unsplash_data/6ST6S6i9IGM.jpg\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/jpeg": {
       "height": 240,
       "width": 240
      }
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/jovyan/thanosql-dataset/unsplash_data/aFyD5aWKu6k.jpg\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/jpeg": {
       "height": 240,
       "width": 240
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%thanosql\n",
    "PRINT IMAGE \n",
    "AS (\n",
    "    SELECT image_path, search_result \n",
    "    FROM (\n",
    "        SEARCH IMAGE \n",
    "        USING tutorial_search_clip\n",
    "        OPTIONS (\n",
    "            search_by='text',\n",
    "            search_input='a black cat',\n",
    "            emb_col='convert_result',\n",
    "            result_col='search_result',\n",
    "            top_k=5\n",
    "            )\n",
    "        AS \n",
    "        SELECT * \n",
    "        FROM unsplash_data_convert_en\n",
    "        )\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fdefd258",
   "metadata": {},
   "source": [
    "<div class=\"admonition note\">\n",
    "    <h4 class=\"admonition-title\">Query Details</h4>\n",
    "    <p>This query, combined with the query above, is made of three levels.</p>\n",
    "    <ul>\n",
    "        <li>\"<strong>SELECT</strong>\", in the first parentheses, produces the result of the step immediately above.</li>\n",
    "        <li>\"<strong>PRINT IMAGE</strong>\" prints the results of the query as images.</li>\n",
    "    </ul>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "5170393c-928a-49ae-b3c1-fe6782ab2f53",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-30T07:35:57.824334Z",
     "iopub.status.busy": "2023-08-30T07:35:57.824131Z",
     "iopub.status.idle": "2023-08-30T07:36:01.222454Z",
     "shell.execute_reply": "2023-08-30T07:36:01.221667Z",
     "shell.execute_reply.started": "2023-08-30T07:35:57.824314Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/jovyan/thanosql-dataset/unsplash_data/jZUr3AuI8io.jpg\n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/jpeg": {
       "height": 240,
       "width": 240
      }
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/jovyan/thanosql-dataset/unsplash_data/nnKBZTWzlMQ.jpg\n"
     ]
    },
    {
     "data": {
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OUJCkeYNzgZwiWWLDXi2z8vpiiimWcuXcE5EzeobBxnGY+NK0E7LbFFgnwrA/D8Z4UKwndUR7HMSMJoCa3ASRsxMW0hMOqVJUIH2VfaPxdMdCJxBnDUKeGWaE4wAksyKLLYdTZ9B/F/moGYSvqGSkr6udV5tDwHkpPOMVCuVgBI0JxbehN8oyzc8GMfcreA3tU+4P9MnxT/Jx1OHuKeeEXRj3ViPkmFyfUKxL1WLEiYV7K2DkCNjXrOLeq2OsTNuWLnrK8mnZu2dq0KkDys158xdD0J9wb28vG4z+2qu2w04hUBfPgQDUsupWWZZaFiYqOxSi54nSbzKOn45XhXWuXQXCeH0eDKeRVCU8w42G0XpuIYen4wfI6djGW4OKJf0+oumLfyxaisflG2CrGErEI4DmsJ87hMSixouOgWtXMUzJyjRW3UXhysm4nByitfR7Y3TsVacXGNI7QsbQ2gVDX5DPutvDLZvH58VGO7Dt6NQ4h293ugUs3IsP/pf5NbOgwHmfaDZIBALbnkyrBsaV41SQHk7DY8AKG4pWj3flmP3a6FXI2qxEYl1AjNtrORnbbk6e67G0zLMxAt+EgalUXirhq+yWbSlMitgq1KZxENa11qoUhOcsqAijUKnm0ZVEKqZsLK6QsX7MVI2InEusX3nt6i/u3Y1dSfT4oJ7tjQHtgfd1G2sstJNaabqi6yelE/DnQJ32xkVcS9QL3Hl4EdxzFVpHY24qCVlCZxAhscQk78sfGtqYCOA8v9oPefuzMeQcJLGnLY5L2lHt0Yi/UrpBi6ZgQCyJvZaCvU6pxVulZg1w7iIx2wBrtaso/JIvITl7gzOCfaxIJ2Xce328ZxJbSpPeImt1FQxDa9nFeJG43tTj7U0JzXgHALPZYhDLT7eKWPXTSxePsSvhqxPHU8HIsuw+l5Zavudz28Bx2UUQuJ3As95ZdzyIzkLZx2X3OXuTwOXk72x0WQrF2YHUrXXHG1sbYX2DSwEvkN5tvXTPyE/3ZSfvNa0hVUasur7itVxWwtkHiIr+FdArAs30ieI2pSWJ7VKhVnEJGrG0A0VBm9kaWH3glgWVNPozaJVvlWTq4b0g5OGFiqNhGTgSGn2mJqWILHYeahLWLmiqoIU43Cm0Wml5xblUqWTTrTw5IpAlSkz265e1jylzgDmzLz02xy5HmDyh2pLHaoDEOnJYiqmwTSlthSfqgKs3WJyXtD3oPqvjitBx0wJFYHBXp0F3ZCg7h82F2UcvpofepUg8nhKM67lbATmAx/kI87bjvx52TygXSt4myIOYjEBjojgwC9kI1d7BywBZgi0k26CiiwRSGsI23HUrKri1MGh9tIfUCHnaUMrPcLqSO321tX2BONT+WffMEQMCGPvKmEmFTrjuIPPu02wObSutttswleZt+pjqzGgg2EvXGIBr7vca73cQSj7WqvwqWM1gIr+kJVvi+nhuJoQr2jutOS8fcz2gcdnVZncAsm2MBQze4R5X9vuCESxdLxPEq2//xAA6EAABAwIDBQUGBQQCAwAAAAABAAIRITESQVEDECJhcSAygZGxEzBAQqHBM1Ji0fAEI1By4fEUNFP/2gAIAQEABj8C/wAB4f4bw/w3h/hvD4y5d0VGBWaqsauLZnwK+cL8SOoVNq3zVCDu8Pi7091R7h4r8Qq48lVoVWfVUPh8KV/t6fAM6/C4U7y+Ae/8o9fhdo7T4HZj8xny+EKPM/AAaqPytj4R6ZuFJ5KdjP8Aobjpr70fpTjqfhCmePYw7dtctoO946qbg2I93tn+Hmh8JCpl2ZgHUGxRgRyR9wU39TvhTudG7g2DjzhQ5pB9xidrDfvvK/pxo2fhD2C5zZ03W4mkR24C2Wx/+bK9TXsdGD3l91XLNU2m6rlRvmowql1VQhhaU5+1rWGiKpsDidcadt22IowfVPefmM7wj7mpV5VGq6q877rvFX3DcShN4B80HOjQSiGuB/co8qdrAwS4obL5TfUr5h4oxaaJrgRUWXdQ9xRVPYv2xuJRcsLppnFENnsz3qz2OFX8lR7k6g799U/A+A2kJzSwSREhNExVUt277jVCq7qr7mgqoc0g6FDcEdozbcJuvToO1F0G/lbVPefmM72hpN7doqqaNwZsu/8AM7RTthjbmRcLDf8AKbk/8qO1RkD8xom7T2mI4oKccAxNeRK2BaKuEeSqQjyG7DiKb2sUUZXxyThm/h7B2nzP4WKO3BWMZIFvefJnQBe0O09owEB4cKwU/YZd7ZnRMeBRw5R0pvd7MCl6r+7tfBqGHZCdTVBrQC70W2c7JsucUxslopij7o7XYw4sJojjvupuFThyV5X27EmmIkoMHyD6ne1mqgd3ZNge5Kj9Lh905vsw/GMOMfsv6BzvmHs3LZf+OxovMqdttZ5NTvZ7ICoqv6jo1XXBd1J0TRNysDOvVPAaYkeaqD1WJkN2nr1R2e0YQVsduwHFUxqJ3OA1nfByWSwNFSiZ7rfROe67jO/abSeIDhC619yQozmR1GXipaJY+o5IPs5jmHpXftPBPV1W7kHPiJug9pxYhBOivQ16o4g3Dlqmsw1Oi2b3NmEWxZe0bZxr1WGd/CYWSn2kdFxPJ7NDCANe3VUXl9Fi2W0hp7wNRKbsy/G3Hie5XXeCDW90KBu2bURFKBRiMaojJHG7xTNs4h1VXWdzmnNq4vL3jOvanPJVO+WOgqmHyVdqVUk9jZTqrdehTGOsE/qtVAjvCURlmqpo/R69i9enYtuutninEWyar8IKgA7UflHu2uGRTTNfQqSCRyRwnF1WN7WBYGipGQQlRkv6d2rCPLdhG4Dd4qgELMKlVs2RnXoF4e4f7wBjiKFRtBH6slP1CIPFK6KhVEXDvbPiH33F2e1oOnYcq3X7rRbTau/1CoqKDftNd4H3jedFWyaXG/y/sqbNxRGw2UD5nFBzyXGZruLHOAkG5RbPC08TuSoIa0Q0ckEdx3Q/zUhNZZVKkX0U5rCezUUXL3YOiYdQCtnJ4YpyWJ0t2WuvRBrGwAvZ7Noe8X0CjZ0/1b9ysW328k5DiK9m0YGDL90UEVPYv4dglt8wuawu3ZK+/h4TpkoI90Is2GfRQ7A4GD/Oa2cYe5PD6BbXE4AsLpHoiW7OXE1c+v0Qk23H3AdohzV1EmUSESPEb6yN1t8OAI0U7M+BUER7h4PFiIlTCZi2h9oG8LQYgc1icZJufeBuqhRO6ECiQOqtuoqjyV98rC9uJTs3eBUOEdsOcJ2zu6PyokmTmfeUEouN1RTCtdEArkqGikOjs1V/HeIUPAcF/bfB0K4m01y7A2jxO0Pdboi5xkntX3XC727uoHAEeW6h3EYoUUK0Vuit2KNJ8F+G7yUG2YQVuxeVVuA6hf8AsfRf224nalFzpJVlbd+GqndWDz3UCjDlKqJX1Uru6oiM67hyQqhJR32wjmuJxd9FRgG49FWqjK47JO61FrK07HjvoUOJVavxIoqOXeiFAGdTqg1pTuqgqfJcSopRrvG89NzQtapvRdUVrC81fsUEqrSN0xC7sqrCrHfRxC1VQV3lkpB5Kp6rJTN13rDdXcOu+FwtlYpkwrqdU3ENUd8NEqjChiIH1QkTTVPDWw60aBEgWTeRWJ1Jy/ZTrYBS6kE0TgTZThlcSBjgBQjhjTNNLcXNAjgBbZOwugLjJNQnI/dVRUr+HsadUHGs/RGKBc7QjQCXVVwoGeQRcckcZi1UDxYs01qFhlAQE94wnlwzhXPE4p8BHqgZ0z+qeZklY4FrIy4JzaEm6Aa27oTxjmiq+gUZQjGVUekLxoU7iPJHMTnzXROor0Cvu4jhRMd0+K6eqiK0UU5hCbqXiQCQtocNA6gyWIMiKHlKdzLk3rU80z+WRbeqoQKVWIfLUKDnU6Tom4HX8hkn16raAKa3TsTRDBZRPVbN1KZaqSJy8k/C2VMmYQbQ0CFPHUJxm9VTOwUYoM/RGoj6qttEDzt2LQCAgCYlE6IRFfuod3vVGbRRCJkINnhujy+hT/lMLC/I+ieJmhTcORqVMSU6ReqfxSIEIyAK3K2kGoBp6LZub89/FcqqKAHPohXn1UQawUaWuhkiREeiMa31UBsEQeq43Zr9KkGuFVzK0lGKoaKBorXVU53RNopIkSiFSiEZgfTca3UDNOgf9qAUOLvWIsn8lLljjKYQdhOF2ekphwl2ax5+spuTsNRogJ4s0P6dwvOHxTYbBsVcJ0nvPpCBAzHmmmM6aFCEHGkLxqjGTsl/Mk9pdUI0zQVqLRCl9wGKmfQosisVUUlcxnKqFNLIUvFEJsorJUBuStOg5FBo500TQ28VUEkAJuyuJd4p090equcR8k2pouEVn6oFjZsDy6rGIlhoNYUNbwCkzXVEOF3wMN5QaY4XSEE3OBHijQypOtFAsjkJohc89Fn1VKVRiqMbhKuE981iqcZiGnJPc1s2F5WN3nkqWkSnE2v4qC6/3QEzRGTCi2pUgRQUNV3BYJuHvWotpj+Z3opDDT0REyK3W1zZIzqjaq7xBFbVWrSa+C4rvUNrM1TOqgZX6aIAX+ycdmKXOoU94iA5Ow/9hGKITUSUNFmYR5C6OsLzRKk6r/hPDTWldFAN1Dbapoca+iZSS4JwAEYv4VxSCR40TA11ZMKb8ihWSJQm4ZTkVWxuvavuKc6qHxQyM0SHfKsAFyiNL8kWEdCfsjBphWsXy6FaCv8AAhWeSAiMIjyVrz9TCzsq0pqpB70rZ1s1O1n03DOv1VBUFOGaNUdZXK6HVGk9AnDU8SM2A804CxWynMVTXtPdohXvZoVNE1+bTFPmRbigwqVMKaCMtVWunJPdzR2gue/9lrIJTiQANNU0z3m4f+01vyxJKIkzRyJ0yTWgfwoCUXkzjARPn1UWGfUZIxSicT4qfJE6hO4qFOOK1gpGiJNE7XXonEJy56LNCotZXRmgi6YA6larCHxWUxscNI5puXjcomhlTkMyjGYoP0qtjihOY2hgdSEGYgYIJ/ZG1PUrCOLCnAmTUkG/guQt5rliwwmbQjiDY5K9kT3Q2VRny5c0ANFANzksIyzVKH90G63PRESV3KlO4jYUWI50gJtCucIQMrrDPVOoo6KtOiDzaE1Au8ERZSW5aotAh0TGSGNooYBuOibwxidCa2Oo0CfP85oDS3QoDy1CcZMF2aPFGGKcgoAu0+KdeYhNdeZzUNoZnoQnZBcIFqnmm1jVOE2y5JtbrkPXcK5mFbiuUHKNDCgq0oKmqgFFNQBNEYX/xAAoEAEAAgIBAwMEAwEBAAAAAAABABEhMUFRYXEQgZEgobHRweHwMPH/2gAIAQEAAT8hIQIetSoEIPQPQr6BUqMqJEjGJElerPxPR+kIqVAgSpUCBKlSpUCV6KiSpUSMSJEjGPqz8T0foIQlQ9agQlQlSpUqV6PpUYxjGMY/R+JGP0HqfRUIEqV6BKlfSxjFOsYxjH6PxJcYsuXD0Ieh6EJUJX0V6V6MItYC5Dux5Bvw+ZfxfOZ/5s5h+SO0v8cxOz2Bn83BNo/hPsSJL9JW+gsfQuEPQhCBD0PoPqIKy5Lz0im30kTrGbly/Rb09Jn5fEtyt5gfNANv7Re32jC5erfoIQ9CECBA9T0Pqztom+cq3wmSL6D6L6XLl/VQSGrCEIQhCEPpPoYqFjKW22yzcGHtFLhCH1GWO/osXoHmMIQhCECEIeh6n0Mu52UtRxlep+p7e0Ix9Oq9/wAQsIQgQhD0PQ/4H2xF7snmU1dYhKY9L9Rp9D6Mi2qgLDRRcIQhCEIf88q8ExDuscewBytMZb3Lm/iPvEbhH6qmkYbgdOF+IvLfQhCEIQh/xZv9P3hVkm5YRFs5mcCOyfwQEsdsn9MWXL+ipx6GxF1ygQK8MYQhCEIQ/wCNcbp77Gs2dzcy/SmLgHwnoxyo3i11BDIwdZ2JXR6Hovpivb8wVuX+2I49CEIQ/wCm6UjLf0jAA0X95Uuw/ciZ3qK/MqaPRf1c5eZtF1Xm9+z1fyEGWeoEIQh/zojbLrFtgC2ZF6sOhVKPXrMlidSkXZwy1VMfRSE0QAC1QDrcxDpLrnepqu8fhHoqEIQh9Fkd4enIVY9szkJ9ovQ33xAsIwLAdjLADm74TKaeGctLUbxLAiJUUNXYc+8S4xbI7faXOX0nTMEYe2EUx04gmUAPM/gi+Wr8vX7gg3619j1EISw9E6cM2IRZBrtHNfIxrQjF/Ii4HLL8RnfYZ1X3nPRcKzXxBdnEBRsPOUdcrUHWRTx0JUN2JD45hCpXmFZWoSV0HHd7QN6E73b7xf8AD+0O3zZdJdhWWxBF6vWMB36iMhGp34PuVDFqeAaYjmJyll2vsnUQVVh7wMyQTwkQ8SpUUWTq+kO5hQL7Ez7CoTqneWLFK8uZj6dLUvBRqLwgh7pTGw20zhDPGzSzqy89YxVfaOwBArwRAOhj6YQ9Y2Npo6zPCuIILbcT4aw0/EpxR6VO6zsjCiKi5gkuEMjPAMzHMropzDYQgzx9oYFq0lZgsbgwihoHSBUlUx6JlbwRg7wW1kAEOAszq7ZtAX5elTe+5MS1HW/pCzSwKEcDbLmjNwtAk1WdpEgS0v8AZA5VzrPHTLiFa2NOb9T6XEy/xqOq+ACgGZJNK5pyZlkVbgLFeGUjhD5nZYMXAdkEq6RIS7UtxUCl/EoLloZu4nvv10uJyn4DllTHBXrMwRW/SgtkDN93WPCFlvoX56RM0UUGO7NwiKWcB0vnt95VUS6AHo7OYMWZghlmlXNT7J/LDkjyn3jCrLy486j8XYDjwTeAWVRbrDmM5bL3TF9QzipSB1MHqrMyDoyzZnBgoNPeYBvmKJK43E2HEFp9i6IpjWa/QEPxlgHmVwGeb6t4q9StHUhZeT3AxgfZxWLvPVEzt+UxBTTZbXlvcCFeyPll2z52+sBFeT8yxBEYM/yIWydy7V5YyuoptcOajOiv3lMNQry/uYl0wmu39oZJ9eTqS0hRBAkHO8wnLsH2hoGLjbDDF5i8usA5oShWqA8SsKsXs4lilhe/oYxTHBbq4v2hA2K7fVI169/iCBYCTgeR4SwKs3Zx5IdWkehwIinlgVDF3H3iWNDRC84F3PJbsrVS64E9lQe09tUO0t6/TjLFe0ooU4o2iGxRHvhYPDZ1jFUFRiqrpFB5lTQufeJtwqnxAmDUIK06RdWz1Y4xP2T78zcy3E9VLTwlr6rVu/Wqd+WHobajhMe8HnC215vEiZuqKuvmmINAVKAG9u1ghYP7hb8lxWq0terKiVERnk9HxK2Bo9mXnzKOx6wpNFxMx7Dvi6UwrRHwDJeCaXrmPp7SvJNpRbqiX1RM8YqX6/VQPJ9vqtHgWmj36vYjKo3t6y4LJdJ2pQaIu9ngxG78o3LS/oE2jT3Y22ETDrs+NyxV0L1BxBX9dVqYDt1xFVS43b9ysFpt44groafRh7vVZjxvzH5i92X6aJTq4mF38Y7FgDAzxHW93P5n4qFQehjuJcyuAnzli5l+iPQQH6P2tkkH1qZ6wr/fvJZhzwNMtxZVby9JUnvP3I48CYBBF18g/v0MeVegRRzHwPvB0KwQ8Lg2VFGJ17IkugnHZv8AMYShQRouHhiKn6rHu0/aX9JB9EQJUzoGaenWEn467v8AEqBYs/8AaOQwUtRYTGl1MM9/glJayfponD4m0s8ze32ztf65U8Z0dK/ENj2h0KfavvOrs6ZfeLdX9oF7m37sd2uicpmGsh9pWmKX6diY51C4MJfpfpcPVVjX88wCdp/MxE6Bs+eyabvARipnRnxzEwDDu7ELeSb6bYKIRhc6IP3C+GECZPIl/nIxWYQyR6HZ8o0tEZZ/TXdgNe9NnfPUdZpD2PWakv4lUfShoPSQpYtksRni/v0uDLh6X6X6CMcoT2lcfvImrZhx5BD35B9LfmCg/wA7m3MGvs45iGgPWBa87Lb5dEsY8inL1XLNbwVkvunwFR4ZXzhDUCGg55REorcSsFUUy0VfnpAUWHvdyENj2M5mGnpKMkw4E/1Ue9hTiF35j/KlpY/n0v1XCX6NwCtbd3hQPAd1YOU7oyVYU0DjsEOi3AooL5bcSyJLlFdvAmQaDXHxLweIb0G/xNoZvicMWMywWFtgC5RzRwvMIDK8zFEVrrJojtIv5O5OQ3xMI17zqz8kw3dnW5jx+7Guj4KnS/eZXbi5/LvmKVLo+ly/WvEuHoQxLnE1ItwTS6DAM6fxGaH2m2b+Y8pv7Q7ehLxLqBl1HMvHiXBFtB8xKaAa8QuAbMruOlX3/wB0ieK7r+pwWa1LuOcf5ImZT3J4QtWqg9e9AZWPSVZkjYX0mglUAcdoLlfN8y3ld/ouXMkKh5BZdHqy7ONpyseU4moWfzDQPEfgRGGokDHpUnXYmS8RK6f3E0E5l0k9CNhp1Qe4/eXK15axGjHKJbHjvKSsrMkLtfeYirXA57deso98HiORbtEezh9JKzS/J8vUFQC1hsgfvMvEi1Y/GNmCRuUG2VRVUb1HlwIO+OkHu7q6uYautsBwHaMjroxKJzewiw4a4lBLp8tEsHMYo/cproM3AauAe5FLq5S0UqTrLZb0fZuUCTV9fkR+NJiILwIXeGYWj+5fdzg4eHpGsvPp/UN1K8P3NmfHf7tG+oio9VOBIUae00NO6zCLHLSMG9TCB0kpAuXBChchiVeHm95hR8HrAltHyzRuGaC611v8RTjFph29bmTewqLNoW0ZjEvd2s4h5CXKjKVga4rFzDTjRdSw3CvCPewluR1P1g60C4wgfv1W/eLRfoCap7L4l881t6dmZmGq5O8xdb1Hp2aYYFXxM/ZageNwDVAYjO23RxLIV9W9WKRgt9oqFE3oSpFg1cAip6ku8OI1mVtHGkViE1BK5DU2SUOQRfTKGuYbV1LfHEyfF+5Q0gJtnWIY7eKlraK5WCYMb9CImFqO2viVP3T5I/yZReVLelNPtUV93LhvIwGICHGXW3knZ7Ge8vwtEF/33hDOW53ZYYtKOI0p+EvuPSpWmXQLgQ3hZcA0ct/iasrNzTU1YnMCGm9p/wCd6v8A3iX+rdSMcbrEjt8NwPA2GEhsi0o/MNBjWEFcCugxqniIvwv6qZbpoqFjFBd9Il8tdY3w9BNJDVynvTKiGascOAipciqSuYAjOGHjMtWLeXfXghN2+1y6A3t1N8y5F9AuKUz2qMZOXQ2qPKNXlnFTgYqqocb6xnVVu9+0KjyxpWMGRsIzi8zkQjTxDHxzLawrKxUrNkxgpf4hGg24H/YgksgRd3OqlVnl5gg67ywRBNIM2zTP6uU6hHW8fFCacX+JZK9947O5CPJTNZiAKrK+2IrgwXjEfbTQ7ERnBV6xfKLZ7MxSuyqri9wkfapXfEqGoW64w+ITWDgJThbWBAExS/eIx+IN77R5Jpy5X8RE1V38mB95YrRBaXnczmqmDRXS5fwFhOTRLM1KadnFeKJTuhl7/uX7GQdslKcs4B4jRbrCb8kIrkWdVkGXbaNh35g1ilp4uaIlDsmW5wKNrw7gOir2e8KdgAxzLDcCUqEsLvB/O5XHoVHaKNuNufEKwnQrnylLuzwh6SOudZYicLK8MamWsQ4CGqQHN94cGfLn3dolmTq8YI00yE4Y1Bavg4gr21NZaYwr4nV8doWzCbPu5mIxag5IGNOIW7buZld8l0MJ+pWGltt3nlFS6jjAJj3iwUGR47TmVkXnJ94Cq7BVtS/CWGpN0m7q9paqq9tXXaIAJ27Qc76V1vQTMNgDmnMOaGrVWO0L9s89LmJ4nbiVdtRWu7Sqpq5mfIH8ROssRvpfB2gHqp3pzK48wY7bgGrXSjLD6cZ5biui3xcCdF7mfJB2EQ0rcsbbzXk5+IdoRdduY4WPecE4V8xrkhzxmPUbYFcpBRkH+E7xM1Be/CpRojnVlPaWHiMvlrMFyC6OE7EFoKZVzye8pC2Dj8eZbT0WnPUfMtdmBwrUuhYQo6PP2nII03i6xEbTN15a7Si8kuKrnxK9oIkbwbBb7geIaUUXbN8hIdhVqRweRtmcJfHhtpcXAqcmytN2nicwNO3xKaFuPBtrzB55aDgfywyDb0IXoiO2DAzV6HjpHNrC3ecag6wqX33ibVeUHGOYETZXTjLBl4OcnmdZDdcPmGYdGYUpgdHbcVZZ8XKsfhjvKtOTvp3hWpE3XwxAl4ylVrbGmyAb6HWAXIoPUh9Cqu6q88xcPheY3Mpy1czQ3TxdhmI6rzfGc6hWs70DhK9jfjNLqogvnniAjdBG2tneL8G2LQJwiMOp0h3iJv4PeZfGJ8xqbG2447RV3xvecszHU1MvH9ymuq0Kdv8AUI7+a5Dfepoo09lzOAqelWY+ekNQVWMa94FGvQbOmZnrhsOmLzLtqx8J0YN6NnZFrS1ZxNFerF8xAAOXPknIK1/qK4Js+exPfCg4jrCiOuwYQ3XJ+4KiZrZHi7nEx46y7ebK6hxLF5L96g8AHhVMsCr1lv2ha5h/sEpt+o1jjESJqE292mFtmaOdkw78OjwwwVVa7Hm5eJSjm7rPbrLRZLfXZctFKDGq6mCyhopOHQ8xZAYF625uYeW1ea4V2lCQbdWc3GM3LH/BKaoEebTDPBAthONHkyjXPyVuKG2slVfz3uETTcy6d3D4c93mN7BSRvcZz2EEHVN55gVigTbdxWWy8M0efmE5qUt72HhoFDrEAnWlpn8S2QxVW18wrUP6jq4l373FUo8lyiqK1KuK4OY8jUazsjxTleiAodn9xzMFkF8zHDYOUBwy6l4FNsb7YMtX/cdtEd5OMXFhYPjAMrMkL5C3z0YATNkttO1yr2HwddrNDsrO/LPSIXgXwdnMTfFUtea9pnzbl1G9dI3fpkLHPR7TCN5th/neZts07aX8kFWTYVdVzMWvYZjBHgRRZH2xACD2tn7I0aULL5jmoO+cIalQACBRZ3ZXc2W17Vd5sIA45/c1roodX1ZyAXQOC/zNQrTeK4fMEbnxresbwqjJhzDRoQtncrP5+MXBYGDSNb5zG9BbG8IrTJu9w1NHZDlnvLVAEfIYGyAR6d+JQ9cPGPyJvHNOGXueJl3ETzXDUG+HRg1txwS8WVSys9ukrKyLcbPvDBVjLu7DiWi/4BXWOczDoYMVjd9L6Rs6Gtdx1iD1+TN7zhdXENutNFomJpvazwpiVZ9m+gytolqxFnNkq9W1X0Md0eqF9leY3hvM7veK9O6F1wPiJNKptvf+1E8aBOfEsjjQ49zJMxa0cVrhjfBaDRF1E3rW3mP1qaGLHlrVQtLlhnK8xFMaV85I1lgvRupWXKx7ZiJyYPgyy05VAfeDC+e8E4OVcN03Gr3QKKb07dZW2cNZvqQUOxVV+opjhnu63OM10bVXaK8dHfaC0lEUehWuIEtaV6q7ormVChbKv73C01MVOAm7isFlpkp18ShgFEdqcOeszZksHAGkCaKHOduvvOt8L3kcdGEbkVHIlWMWtgOh3w9RibC9lVjpNfSlqwU6qbwRhM1yqNM7Rox8dY2ojfg6QfO8cDqvxLueDfb0HJDWqTV/7iEXgVpnWuIiUS8YdY0YCg568+Jg1eI1SQta2bOsywy2qWchSxrEGhyLNjqrzM0C9TRxCAc4p6v8Sibav8CXG0PZhC1wvdAxuFK7voTAluvZMkmD/wAzcJSpw9ZXDa3LD/XDRwFKgWDQQopMy9Dd0HkfEvwpFI1aWwe5bFuvtDWArsrkRL58IOsJOA7MrovxMUcl15tgnO9PsQFdtRW/KZaJT+FfuxbD2Bx+Jfdkp15lOt/Ss9TMcnnWa66l6rjhh/8AIxffMzB3iPJqpUXQut4ipl0MG7y1NMHb1b0/3AioDjtuC3ULPnkgGwzsFZ4Y00Ls/i4jcciVCxaPY9ukroGtNQ1Cmk6n7grkutuEnVW7MSjgiw7p8dZca1jOl+8XwA6bNR0vFHEX3O/oiEO9vlNApWdm6b95d1jKsnbcNMABbMch4vUDeprxn+EVCsigdq/JHRwCi2BqmBVTRJY644YltpNdKVmDiBgaycwUwtAsOJXUqFnT2l/F+aD8yrmwC976QdwNLC4581qXvmdCSOFZHLDKFEAnSufMNYKHOddU8tC/JysEK8C/Cn4gdkjlyjivaWOXdVGqcZHvLwLoKb4IZ60c73zEMFNNZ1DVlWOO7iYVjalVWfxMnPmtGGWpyLt31gaoTfW2O1S5/8QAJhABAAICAgICAwADAQEAAAAAAQARITFBURBhcYGRobEgwdHw4f/aAAgBAQABPxAQ+EMBgMFBxfIhmWUIecOYRgR8gEHkmEiQeMSCMZXgIhB5CGEDBhBBHymVxOcpGMng+Af8KBBARIwQyPgxPA8gIIQMQ8AeAIeAm1xwYGIPDAhgh8RD4MY+UKLHyIVDAgSoZQeAggM+DYiJUCokog8/URHZ408zFix4SYXgZpBAgYIEPgQQUEICBK8E34MEQgCMgA2lQi54x/JHur4suBuPyYVKX1Br7y39R+9z+RhW/pAAH54f1UoUbtX8Zhtklekqz2+B/wAECCCHwCBiCAwJUBKlRIkYhFBDgDVS2AOWGuUw4H2xVqlYjcuuPEZzmXgUty3A3KeyIfiJDih4MWb75Ald9HcVFP4H+hNGt6a8Ih8AghheQCBBK/xMYwNBFgiZd6eCWpirByeC7Yly4y4eC8XFeMEM/EWLA6Nv6U3DQ6x+IIIIIYYYIJWYQJUHiongDHBcN/8AEErhtD4t/wBzJGE34CLLly5cKB2xCngwRYy8yohXzuIggC+Aghg8BgglYggV4Hl8LDdLFsrAfSJi/l+47Y2hh8FOfKy5Q9Cmb6PBQIlRk/GYi3B4DxGDwIIa8uP8GMU73rEMuCfluFec4yq6xfUMN8IKPBixfKr6JrFHLDwwx9sLShMI5+JhhgggghCB4CHlhJ2xcjdZtv8AzEzSxi5PZvCQJcVp7FuOBIREaRwkFEUXzUpijxqGyQHTMPVf+stO2si+YwwPgPAhDyR8IBWXuUtDtJ+eH9S/fOYtt1K8yWDCJyJEMLIX4Q6+bMtdql36nn0Of8gCNqjgRZcHRmJ2ivdlim5yfvMWfEwwf40Q8X/jip3ISeSlUrqTs0kY8PRFTcuYEteDLyP+pkgVlTYA6tzFg31NF+L2yt3nuTJshahVQosuPwz7wjjFpfWCHQ4xFYf8eIQgwgwZfi5dEsY2qNaYVEcKjsB+UL/BGKDo/ollaczeMQKrrfqolau/JHQ4hqcw4cBBb1hWmMHsjm9KeQPZ+jMNGDax4MP+KEKhCDLgy5cuXfjZc4Y6N5YxYAFir9o/bHeJA2ez4lkinBWiDFN0ikSiOF3zCoCAhwEvxTctWko+cZalQB2yqQUBaTb5d+wR0oYK+WCPhP8AhCD4q2h4hc59rGoQchZUFk8SQF6Z/wBy4+9HxFgp4DpIFR81sEJeUguxgO2Xsm8sykNgHtgVBxRy/CYk9QDjJVUCD5UA1lFqtjBoHE6osWOoVrMVN1w1LJzm6bT9TvTLPpY/XkWPf9od9o/XgO9Q+ehahOeuCXhGvZS1CmbgYhykVu5mWXXFRAh2MMd36JsUdZzKLsYMCFcIVGNi32hDbe7ihH9W4r6n+kytIHWh9EvHOGAPb8Ru/bVkfQ4IlXvbCpHpZg4iSGbuKNfpAO7IoEMVWZQ9QAWfwDlgCVZzSDPWrRFQLltA+jCG0BWyXCyv6VVRfuIrUDYHU0lDPz4IPiBlhqQjdysucpC/MdIHGaPxMENfGD8xDlcr3hqymUb+nCCMJPUrNPU3Flbe6ZcCKZTaLlqacMbLqVZqj/cajSgV2oCLHJJAVZHEqhl/Pu9GCJAVVRhQZ/UYVchLiAZ4aD+4QbArKL+MRcUeHKjl9RfIqgqFiPNssPQJehdiJ2cKjkWDdEAZkowQeIjFNRcqy0sE4HNuEwB0HfzHqxpXZZUAVuQEDpNzlmQqRm6D1dSheY+OyruA4XAFRgS7QsFT9EWCQsAPRnslIz9rT9ojHdTP7ExkNmeZhE64t0D7W2c2HrOCAIsuZvc1HK78E1xhxMRN3MrQH2xUoIeYS1+5u0/97mGMabhsx5s6mUaIxrHmYwRxXWowaqweWWD2koQUqA3bwQvbY44mcdcu1jd6wgjaKIOTmAwUavSihvQ2eBNyq21QAJ7LGPcAzSLTDKO7vhafV5ZhhkahRIcHGxWBdCa6qdqy5TSjDdmVX/Q7QOgu4oYRwSR4lHS6QmqzjcMcGo/QX1MSjJxKRq52fiOLQZjHEf7lPtT4Td+PAKwQ4obrH0RNPiH15BmJaOLiXHof2D2TNNM62FgYkwaATNDscO2es3hwUAO4DtUPLylPpAMTIOX3IVszilChBWRhxU0N33+hAIU4f2xen2xlxTK2MJFVN3R9VoIB66xxoxYLZYTLUg9ECghdGwfZAQLyYkqvcfbUcl7VhtOlLAVxK4XWN/yQ+uudsmA65JhQu+viaWEZ8ieLt/Mis7Q4cn88FZZfqYRVDiKXN0m6r/hG7lQx0HAsvx1Sd+LiUUqBumg+oDqdi5TVv5glCatOtH6Y8xF3l1fdtYsd6fzQAgtlbZ2UI6D+AiYsCemA5Ib1C0HfUQ4jvKpVjA3HJB4DGAFx2xgtFitGVjm1IeimmFi+FLIVZ34QHAc9RqQsDHEnJChQ6ZBa9gfZHAgSp3EOqgGL5nyTHqWXEEpU2I0krdE1dHuXhi9xV+qmFu76Iukp33XA7Yflr05dwQgVbgM6cYv8xAizKN+i6/xWjEbHDB8Ezzk1og85uztSGaVgZ5EcaGFrrLkaj3jMW9nye7hKcy6eUX2Ys8rVzVsFagr4KiYcoZ/MlocrDXbGJrKr+oLCaRXmWB+FQ6MwYqwqkPMCAIUsWLp3hdvrMNfVoABWmqgnQgFZAHqACT0GHEsXUwdGMoUtweHpWfwSmNbpoiypnE+3jMqgXKgMuYO0j+pi+PQF43zBvwRFbgrUGH6Flhy+wlEH5mOquNBUFl900zP3R3llRa+KZaRLcaRgaFHRA7aOzaigk1lUCI36H8VeiJiFau1XmPG1lCnudG0Oki0StgV9k1UNaFTVvV3HloFhWj+HUoaRha4GlHKQoNq5DyvuFJiesfEauzZQPKtx8Ctdp2kGyKY/6qaw+BqPDA4t1A+QjXv9Rb7j/gxuQHwZeAyx3CFzFSQOwknSNwEoCtNqFyPDHbKVbOk5J9og5d0YjVMcmv6iRR2n9QPmNEMY2xfC8BUuQYUWf3HhNRBa3kKd2TU8wQG38JXKIWCbVGwxukVvXA3FQiJwKsD0RhgqLMh35pcMP5uMoG/piFE1zpfFLnsJTqWrRKG1DjEIsuB4Ro3uQOYAjqATo/0ZRoj0fxM0BAXkjjQio9HT/kQV8Ar/ALYwaj6Q5SnRLRnm+i7JhNgzDkCQLsIoCdlcnVQSkjIlbe6RgNwoAHgVqZ5YaSpUj7VaJygiqc7VgYwG5XuKz3d/Icsy0tPA2GPKWD1UoSvN2f8AUtwpqvliMCUKvhaYziJFbwF3Hh9riNPgDcuKpC4gHBgKqUcYQWhSRbijuDLl/gf4RNpcvQQ/R+4gweDcRKNFSvNsX+3+BNay0xAotnabfMdwqr1evMNoUVa8dTZ2dBDAI5EmCDdNkAeWM0lLXNv3Czp0uWtfdlDJBr4PcZfugQgKX+0mMqqEQ1CVnzSdkv77mv2APB9OYhpX/hAlYj8vJ9JiWLHD5mWZ3BFd1CDRVx79MU5bhdwm+t4fGqFsE0mZRWPo4YZeJALy+A95l3LLheKz13DOsEJhu7Y9iGbiAchRiBjXi5zod9phuQ/9rKBMBmXg5+kGlOTBYscHraS0wYGAXwiAUpW2YnrDDOx74Q7Zwz7D7dsRy5YWO7xTCDG38Es+BlW+HJEENQdfnsm5sCuYJlksO8sZTeydQgGWAWup7mWiP/wPuLxowLtf8js/h7jCYL6GMHLScjFRLvw+ujBlpY5haK24NtriAaAxwdy7xwQzolkVcPRwuyVHpZPZuLXsdQzNKVtZTinv+6BKigHfKeXtgipCI6lsyz5Pr182BCQEX8eVlVUQHtxNjMM85qn2u56SlguyxgroYYuM/wDFio5DX0xyJ/2RUlK3acIckTSjIvJwQaUAJw3sYESUc+qUyOg1ASqD7PT7mq2DkX/I3+4ZEjZX2G4o4HxBcv8AYS21YSkWxOkYwenKDb4dx1hK9DsdJOIIgtQbovEACnOCWMvEB/thZnS6vC/MX/SDYLk96JctVyL8rgDDE6CwBfMfjepuEF3WA1QyTJhmKx+fgNzEaIAvReUFEKdyv3iPSXQ/MLavF3KF6UVTO/5HwOBlgL5nOEricQRfscMNqlDZb9kINwbU1aWWxwKAXqnceGLuAfcoDYpagGK0du/T7ijnHAuotv4sPzmSVD0FNP4nQnWIAL/Gf1BUFvnE/EpxjaX9kDBU21D4/wCoGW7CmJBBB4Y4BDCFYIup5bTU2+gp4SM77Qdtq3g4+CA5SAsYPlrEPrJmUe36ioX5THnMYacMRB77+VFqc0TJvblhBbP1CXcCpgqMLeWZsTnypQIPEvI4fcaxq4FwhQBgVkb6LgYOzhwJZhFWU1p7ivaFOsQTtPRuUjSZJP8AT9SkNo5P9Svim70nzE9hb1daitsYeoDKho3tuKh+9Mg5HiLg91r4H/UTdXipXm8vCmJVAAtV4Jf+3nPxX3E0NJW7ixQbeiZw7gl30EwjdZ+UrKAQMCoYhfbKCuImJcVXVEHv+iyOTnoguweVG7FQsDPdwp0TJoTanIRhIDA2HtYCA0cVhlz6lKFkl9rccy9Y+JX5vcpnGz45VXEQjJktYUTSR0A0quSokpVn0dp7nSE4OSeIat3SjgMr1A0iK6uJSZlvnz6dn7gSBag/wYlV4fggAC1Xgi5mXZOE2Zdsj/w4ICUYG4nrgAUzUW1Z4lTCXu2JKpCGVKrNQsgsU51EAVW45cEvqM3LTNI1FuumSrV6hgElxWl931F0xVjFXZVQglWA3Ius9EMFN8pje2xyD9dS8VBcMJ/EsNZt39HTChgUXNckE2Dkm8ZKlmIBo04lsFjTkn5lmRMpHzYhDTkEHsHmPCJFGBiwCO5Y0BAIo1AO2GwWEqioXstR4eohPszb6I2kH35t8PQ0fx+Pyl2mqwujg9BwTPPzoTgwdqxAXsyP3ANJ+7uZwXxRAr99T+4lpTUHoRRJRH44H0MrVtixHPKkcOq1iFpThl6cSxqFfLF66SiflOSFDVKWuvJOXEDtI5ZQzRTOLCE4GguZQBo4uJlmqg1S7vEzUQA4XhlgoBXArYfZC4Wl1ErL2zpArVdnuPIKY/6hAG/rqa9bTNSSHB/cX2wafsWlnoKpL5leXaF91DFbdLNocOyGViueA5gpYy22VTHzCpZdcOXAQjBkV6vNvqUwoUcXxn4IG9oosUIFBFZQUHrLwkcbQtVhmi4ZvWC1W5i44rzy8alon/oajJbDUTOmWc2BErpOmFAaojUvwV47ylZ9R/LGaKHsPVwx2Rs9yAcEYhjKwCwCcvUyapLxf9SmgqhuWET8RgXy4RYpEc5dh6YHiupUbCquZVfRyK7NckVDIK+qbo7YGtBG23NZWDaLiGHHQ/2W6qoB4qXkG1A2X/sfiBfB+hlz7RukL9zWrZR8uIQSNkixV0exm4uiqstBwEqNA+QpWNfUctA02gcB8RcDSvoaqO8QUicimHo9Q1ZQoOpq4lRot9sRu2MexXJfqHIMIqzuO3tgDhuCNKhbpL5SPtdBHT0NMESCxLEqQcyhnlOJjwEVDVKPWTpdGabhToQZEj8hBJ3BJjIBo0AasJbDt42/8EzyIDRmkxMostLCs9ggVVRc2KJanUXDWpIrW4qW9spsT2x0OSlVwTEpPU1XO/5GGEE8mYM5X6JRaptePtg9nErhhkXdyzQqnKrpeKZpz8pamRHcEyKsbOFZS5QfdRFC6wgaSEE2lAyubPrrRCbbylGbuhb0d21iHVw55EQ1+3WxRDAfDGj7QMJZI5XbKHi6t1Xe4hDWflBo2XmcIHGok5WPCg1g4uBcYR4AulGaPES0bgJ6W/7ETtQ5QcLinEK5hBWW++RoltYgVeArjAwrA1QKQsG1FR+u4LYDu+4W+oJYSx5M8kpeGoK0lob1O8ypsIVf8ZnXB5eAZu+mK4QabGj8aRqFXOgVwO6+L2y4RBHaw5xG0pcLKYj8sEp2EVVe2LZvQhj9j9spAfUaLY8CZ4h7GURQhQR7I3lSAVfacJxUzJQblq6O1Vz3MUoW5AeR9oZbxNYscoLD0VjAcEserndPB6RwwIhl+6LO0vFCEGKghyIVJGawpsQ5YtAPQgZD0IK/VLaWbbJ08wsOiwtBetlS60h27gWSrewuqZsWHVoguTXPuIuGGEqeoWJYJUuswv8AcStq1TV2rcyrWl0NVB3TuUjiqzk475ltvDMCCxHrJEQ/QvRA5EAdUDhExZo/MpcPKq9sQMgAmrOEblm7FWiUVpTRxBaquLQRc3xKQoEM0HIWtkxmqjKArG0MdXFAq5ypnEdV7g+wQ+CwRk2VL3adDq8OI1RVW2FNYUN9IQQLlWUZODbkmMXWbmNAhuItsuC3pr2dRNufYUqdE17YlkX3gEofshzcMKK4vIWCKLF1AawDS0KZjFBBKBSesAkGCg0lGqvhIRhbyhtgwAEWoe9IFMU3X8YhaE7xoH2mKJQISnEs1VsxsmVVEuP0GOmbReiHL5GBYe8ksvbKNRsmVaVHoVqAsF50VZq41b1Z1TA8RAUwBo+UOZdKuMgJq4MxZxk0cWnrhgs4RMHEf9pzNZ8ckGQRyUVbuLiAaLSqZVhn1G8sQJdmU02yRp3GU9xhwJmBUi8K2sVWhl4ymCo5R6lESpyAKC2JcJlS1kzxyl/UB8bEZL0j3MLDyRCxYdRu+89ZuLWNwZq00uUYsnDxGi+g4D/eIuUfDW0X5LMco4V2OR0lIxXpd0chraQ+K2qfB6EytZSWgA7HDe5QWKw9ta5XZpi0ABvNTDiVsxlfBzZwKQ30NqJC0WKW5vUXrrIhsTdHkZg3EzVQlxaTYlaI1tfdCs1NJHhMjTbYbNSrZppWY3f3KVBIqxNB8sZ5Y5dgCU35HaxI0RhyGlux+MDBgH6PTsC9csVrykVgvPT9R7joVnXEGpY0Apul29Qgop1KgaB5DmIMLuJwp1Ylj5zMDq/GtSxC643YeAxb4Gss2GtuA+I3PvWsrK2QUQhSGccy596Gt+uM9sXHAOrHTc5LwkExdOOVDlc2wwTaI9MZMRdOI1ID7FTDGNMMqOIC8CGvFNvA2l8hlZTV6cqXriyXlKgpYB2Lyy9ODAOI3uIUCmDZ8sTlrNTM4lblWWaepjCXNHVB61AGC7FlCgrZ1UGvqbZAMndnHbCkdUR1Wha/3GfWQbTbkcv1FpIsonTpYPBwcxhli3Qgy2ZDEsZ0FtFJhNUkEfVYIK4NVt6iUEMEpbOGrDUpA6XiBQYvEQshHOgXeLyqcxpWq7hizpUH3Dy8qwUOBylF9TRoWS7najKiJLEDWxsEDhxSxCF9wJo5Fm1yajxppAgFaX6jNaiQASC3sxBmD8YoMKPAI4jFJKpp3otgY+YkEtYs/guGhFQcWG1y5wEWbg4olLs4DmCnKUb0DH+jBBVCQpmQDYpXEWYCABNztjnuXxJqU7NmQ565hpwWjZRMOk5y47K4T4zCdpRN3O70nDMFLZI4LsDbxFFktQM72a4uZcMgGbdBzA7GFXLr/eGNLxaH/wCxj1fHHWm0cQ3sWmmDb/kITSVRc3dYGNC8cWTXXsjR1mws4KT+MI1YDGL+OHXzExQAqh7aiL7l0qsKc28aM9wAmZWt8NFxDbLKjigOn5iJUECeQ/dOfUcwaFykMqJhw0jTCi8sqhFb4d3Bi05DdUZ0pyIDTWqTR+BC8hDmmgqnFfI7wRiitKUINhkriPztyhU1PQDKSxwR8V7UM4mHth8rwpl8jQ9xwrxdzbdJzpBly7RgmidC7K+IkUIOkqn5IaWCmtWW7c5BWMJ9qtkGzjkGUi92cAXUbWj7lOus2G2zCDkd9Erhlrr3fXuV+RSACVysj3BCXRLqcjXHN8XKpSSSQK2exRN6C7F4DLgailVrkpGQ52RE2vlBS0wciUQwM59KUhJQaKcqKHcZbPTSWUND7I9qjgZU52w9YBHkfnd3k5IdhXXBMkAohdBiUg2Wd3ibmgigEo5TMb3ArQgfoZk0ICA2PU1ghINAlGC1vDdTGCESQxX0r5qGqWK5GgtipbsFGsywFZUNdxgRsbI1twvkrJCXaFUfgBs7jSgWO1qxs5IttAhyxWbQdS1pb6QZYA2+p6sMgoQO9MZh6J+KnFiLLNVMdUFEwOo0oxEgV0cy6ArRWGGIvmjTdBVWE3M7OUkDoiOKsYNXyeBcugh4w8hUbr7C661Lfz4i40HtdlSockLZjWdIy4EmAtCvUKykoGUpXHBLtpcYQOHNFpiBXoQvnIcuZTIKVfaI5pKaYIuaX2DFBwuCVNVAZBSkbdSqO7awuum9kcmhubElBFS4YOXdVVX0RjLwltaH/og2Qqsb0IlzaKwLDVmswBQsgsnizFpmW4ra5HEVNBzDBwuFkZS0aeJbLgnKVgLyVnMHjBd4OFCNv9S3QWRsLQdJjkSNe81EARs8dDC2OhMORY+4lYFVGgjJbRLkSdqxxg4t1BiEHkRlfICgLjyHk/mER+zgjKFLUo2wUpA1FtCwsSHCIr0dIVithp5BoDkIkzrJKUu2/ilcYV5uOjNYcIXLdD1drhkOyG06wNpYehjiHgUSAKCoeqwQWrZVoYoNrPkjrEAaJTa22FcnLGOKqClwNvSW4wFTAq0s9oJfuZulE+8C86JC+QhEBNDlxgJiNGIWqAAMOqjloIBZo2HKLKOMlLBYdc3UV2QGXyPQGGa4tVhVD8iKKyVwzhfaO45RsldoFkDGGEceKDN8pDT6HobRRvgrMOUUDjNeuoGCpLhyJatBcBgNCbRLc1KVxjOtDMhQ45i1JgHCInXDWUFhGKcmNRtVCJFBoFZlCqOOqAo/DL2MnYJWupkaRYJqs2JslJRtUCC2PMKAt9LYIvzwMq8xLUO2VdIsrAb7rivFMhdCz1NbqI0fCLcPxuUua8t1m9jFmyrkUR1tCw3FFDHXgsey3SOWNKkrCgy0YLlgColg6zd1vuBFYugA0eIlHxDHRJoqywVz+IbC7DuUFnSW3UfPhAidgK+IxaLt2hw9KuYQ3RrF8DzLxfcu4gC2a1cQxmvRsscbbCIQio7S6Tvh6gA3FLAXvplAYwTqltYS6q32GyIw+2GEIO1mWwlciLn6eYJ1KxjYtALHOblAMxbNLm65L+4pAEPsztOLLYdGAW6kYekA9snlLoesTYpQ8SUh+gwHa/sKe38YlARNotfqUgL9LaNARTsaEKAOXg7csJTFjy/eRT4hhGBBSCc4NtQZakG6EHQ374lEm8uTN1ZpW1e4CpiCCgOP5xDVyuu0q+ubuDH1LEomgaVEx81C1qzYLs5j3t4yNatQZMiiET9Fgl5cj2Z7lkBgYwtk4fkhHYV8qOT0jdQr3imxi96lA8pIF1R1vZpitCVZz2YaRfioeULcuXMRS0Na3vFq0iyAXJr76b6CMVZIRYpABi2W2bTiEL/1sWswLs8KI8cm4PcDMqWmLwYLiTNFPOU/SQFOE01QBrTl5JgF4GVdlWFyjUt3WH1KtNwKIbS3exbrGiBSBg4HMr+w+9X74Vjl9kDhhdq2xuw0ezUbUxxEq3j1Bs9uaVZx9ktrAVBQ5R+9EKPXBQLpzuHAQ0LMYv56mVVTKJk7QMEHdLXJsXbfE4iuFLChCXajaxyymNTVg/S3TA2aUAccJ2p3FUAeQBuAUZMscMAilDWRVm5i2OaJVI8Naw1AgJqtzIPtT1xr3IWOBm4C4YEBtBtGAYHSC0RvtctuojIu/ctV29MXgTCF2kzuyEPEFaDVZuzEuf8AgbIgKc9sr0R2gJp1j37hS5+pubXhFMwnJ2asLA9gLlPpxWvYGwgw8FewOud8xGIrFTPLDTUXcEYGi4Ab7hBGZEwxC8GWg1tVbOvsSNsq8CNUNexE5krEq5ZeW5Vkox1Q8m21kTKrpWFX/wA3C9nWt0ZfnplyoQ6t/wCg5GAKyahQQ2ypMaEmTGNtx8FkJWFU5WNGuGBkHXAk1QrhxFKkY3GE1VPxI0A5Y5WoAgFGmF2vqKrLNjTmf//EADMRAAICAQMCBAMIAgIDAAAAAAECAAMRBBIhMUEFEBNRYXGBFCAiMEJSkaEjMhVigsHR/9oACAECAQE/APLExNswJiYmPMww+Rn6jB+X3hhh8zO5gg/JPkm6x9q9upi6Svvkz7NV+0Q6So9jDoU7Mwh0L9n/AKh0F3upn2S8fphQgkHgjt+QfK99qGaKnZQvueTMfexNR+PXWeyIq/U8/kHysG++tPciL98kAZM05LIX72Eufr+SxwJQc6xJYeAIruMcZH9wEH7gniLldFbg8sNg+bcRBtUAdhj8m1uJW5WwMOoOYGDgN0yINVSXKh1JHUBgSIGHUd56s9YQWgkY8vEDk6ZfezJ/8QTF+891KDLOo+cXV6VjgXJ/MsurRcswAh1CWA7ckDviUaVnXcThZ4sWOkFKMA9vTnHAmh8P19Wrp2EOqWjLKcrxyYbcGeoIbDmaYZtP/Uf2fLWjOop+Cv8A3iCZhcCXayuvqfpG12oc/gG0RaNdeTtew4HQHEXwvVFjlWz3yDF8E1BQHaD8MyrwTUfsUfUSnTmv8DLiE7awvuwE8T9S59MtqtuABfaM4zPAaii3kMfSLYQEYPHUy9UAzBardGAgKhd27d8Imn1eFZXxuwTg4mqvevYFMe02MCccDEEdoFexgoPWW+H0JXudlRVGWYzQ6bwy1N9bC0A4Jz0PsREopTOxAvyi8CZEa+neFLjce0uvR7wm3GO5mrfFtXsCDNbo3uuR67UXs4IDAiNqWqOFGFl/iLFSC3BlVyu0qRmKJ7kQAATXagU6cnALMQqA92MrBCgE5I7wR5yCCJqSzeHb23Oa7NwUdyo4E0WuFXiGhvXGNbUVZVOclV3q305GZ9soVA276d4+tB072oOhxzDq9XqLAgbr2HAjaaqtFBOX956ahgSBnODFFNqbSBNOpNlwViQMqR3yJprqdTS4ZFJrfb9PeeLaE0o1qHK9x3Eoe6y1Qk8Opwdx/SMeWsLvrOQdtS4XjqzdT9BEg6Q8zBJxNLUy1WK44boJp/AaKdYL9zEV7vTQ4xXvOW2w1O2MCV040xQ/qOZq6RVUrIcYOSflNFcNTuaw4bsPhBpUHJmpVFzsyJoNSy2qVPfB+IMTS1V7vTQAMcnAxkw0KRgrkexlXhukRsrQgPyipt89SiK4wMccwTE0dQ9MP3YZ+naCYUnJUTIn4TLUR63X3EoZ9LqcFeMz7ZWR0M8U1TXFaq+A2dx+E8JpqFwA5AjOqKWY4AGSYupoP6xPtlBYANnJxG8fq/Sn/uUeJ23uAhHXtLhZk4dvlmDJghmkOdPWP2gKfp97xByty8dQJqdNqSgCBiD1EfTbBtsdtx5IHWeHo1duVBxPF9SHI06Hph7PgOqr8yZpkO4D4GUBt6n2wf4mr0IYepUgsXuncfKaJKVIcA8dj1E9TcY1eTmCbB7QF0Ysg69V7GU6mqw46N3U8GYmPLE8Rr3Cs+xM32LplwOemYihGy9TWE846D5kmHUaphgBaQeyDJ/kxadjFQOwY9ySe5MoTBP0iU/jOOkqVq2O0nrLclsnv1ixGBhXMZM9DHDr1EsCuAGHyPcSvUaqrr/lT+GH/wBlGrouOFb8Q6qeGH0mJiMikcjMv1VurbFLFNOh/wBxw1hH7T2X494iEck5ioC5OJ6TeoxPfEVMKfjFTAJ95slrAkAQAwGKcjrNkc1oMswUe5OIVotyanViPYgzEeiqwAOucdD3ERtbT/rYLV/a/DfRp/y+nUf5Utrb2KFv4K5lrXa8bNj10H/bPD2fD4LF0pAUYAAGABwBDp8gCCgAdZZtXpzGsb3hsJHUwljMNADnrOsXImr8U8StrBFuwHsgx295ZQ9jXM7sxGcEnM8P0jV3WlcrhxgjtNLe9tZZxyGxn3gxAIqMegiU46mYAhIm9fcQhGHODG0tR7Yh0jDODmNTaOqwhvYzOYDM4h02UUSvQ8fMyjR11ofc8mKoGABFoeKlK8kgw31gcQ6hj0j2E9SZQxIIhzkzdjvzBc/QMZ61uRh59otB6x9QzDtFM4zny2qOg8scTMNjnuZnyzOsoOHl5AsMJwZmc5MORnLQEe8B9oCfeZmPLtMeZ7Qt1mfjKCN4yRiakJvJB+fn7w4gWKCR5AZ7Znt5HHlmEmdpmZ4nORMnPkDCJjj7gzDD08snHmTz18z0m2dzD1+4O/koz5YEIG/HwmAcGHgCHgCGEY/mbj5A5XMHOIvIjDk/ITsZngzt9YDmAz//xAA1EQACAQMCBAMFBwQDAAAAAAABAgADBBEhMQUQEkETUWEgInGBkQYUMDJSgqEjQmKxM0PR/9oACAEDAQE/AOeZmZ5ZmeYg5Dl2h5D8IQQcxOwh/EcpSQM+52Ee9qHbAn3qt+qC9rDyPygv37oIL9e9P+Z9/o+TCC7oH+6BgwBB0P4VBOp5e1eus3kNB7GeeZbDos0zu7lh8Bp+CIh6KDv6GNv7GeYBJwJcDocU+1MBfp7eOSjJlyMWjfKUxrmMiHY4P8QgiZ5mcNQNeUs7KSx/brHbLk+Z9nExyxKSSqodCp2IhXpJXyMNnXCBijAHYlSAYyn8pnhzwjOgjMzOGDH3h/KngfuMPsgGUrW5qnFOkzH0GY/Db9BlraoP2yja16rhUpsT5AQcKvKYHVTAJ2GRLmv4VToK5buPKcBpKb1q9RC1OiNcDOp2nEb7h1S1rGqpR3pHCsMNroJ4eRCmIqCXA6aI82P8DlYHFvX9WQf7h5CmTLXh1au2EQn17CW/2etaag1mLHyBwJUXglkENRKSBjgFsnWHiXDUpKUrUuk7dLDEqfafhaVWpmqRjv0kj5Yj/anhI/7mJ8wpxLu/p1qfjU6gZcqcj0O0vUR6xqfpBPynB0p0qFy1FlKlvcycZ6e8+09YObZSiisEzUKnIGdhKRcnGI9EjtFRi2OnHrHubQllZM9OgyJa0Eq9ZaJSWkpAzgnMMRBEampy35RqZQ+0TqxWmhY7Kol7x7jIbpP9LTIGM5HzzLi9uq5Hi1C/lntCzEAZOOS0K3QW6DgbmWKvRoO3XkOv5ZbDxlqD/EicL4mLai9OpSqHXKFWK4Me1Dsxc5YHGRtpKNhTDAhdRKtv0iVCqK7Z2BhJJljbmrcAZIVR1OR2AjkZOmPSGLtytulOIgKFXNPuNNTqZxu38bhgZjTFWjVIPSAMpkLkhdiSf4htKzOQF+cSzxc06TncZ0gtrS3pl+kafMylc1atRmAwg7QOWUqM7ZGIxuLer1qT8ZeXCtSoNUUKx6SMesvqNxa3KMKjjxU69TnXOonC77x3FNx72NxsZUWkiMXM4jWyMD+45gliqJaEhh1VG19FWNDO0zgEmXFdTVpsu67y64lSq8OZBXTxKnSpQButsDGSdsCCooO8fxGuQ4U4US3qM9Vldd1wAfWXNJrXpVBlO59YbxiSqiUGc46wCZf2yvTZWHbI9CJUu61bo8WoWKqAMnYCLVKnIbBlTiN04wa7kfGNU6piA4lq7sh6jnWGFpeVSahTOinHz5BnUYDGe8e5grV12cylcVVqISc4IlZEuaAIYZxBZVA+jCcPtlpA1H1K/l+M4tVqmgx2JxAjMwVRkk4AhtLkb04bG56CxXAAzE+zr9ILVf4xKvCbeghLAn4mUkpYHuL9Iwhgl2CLh/8AIlh8/ZE4YqtbtrsTLe5tlc9ZAI2MS48Q9SKOkbE7S/K1KJViM4nBrVgTXcaaqnqe5+UuGGCfUCVsFHHnkfWWfEOhvCrsab7Cp2Pxl7UqsOhiMHuNjCnSJ1djDOo9zHWnUUK5Ixs3lK1tVp6nVezDaZmeWZwup0mqOxAnhU2umJOmhxHZ3TFOoqDbPl6ACLZW4ILu9Yj9RwPoJ4gKA57kAbAASu2QP3SpWPhgneVSlVVDKDoAJTAC9IJwNocxhOqLV8xmKyHYxGZScGVLa3qbf02+qn/yVrWtS1ZdOzDUH5zJmYlR1OVJBlpZpb+/WUNWb+w7ID5jz/1KjroAMCPUKoBmeKopqB2zmNVywxsBHqdRA7CGpKYIGTCeTLrpOsxQ7nCqSfICB61MgVUYA+YxCYlaon5TvuOxjU7Sr+ZDSb9SbfNYeF1z/wAbU6g8wwH1DYlGnRsyHLq9YbY1VPX1Ma9TXBJJ3i3gGT3jXRJ2lM1X3IAgpCLRGdhAFEJWaY2hhwZa8I4fTbVPEI7sc/xKbU6YphECjuAMS7rI9FQwDAqcgy7t6dGoFT8pXOPKdMxHdF3MevnYQkmYIO08KpjPSYDUQ6EiJe1hvrFv0OOpSIleiRowgKnuJiEfWaz7wA7GVLwA7yreu7DG0dycsxjXVMbZPwjPcOcKpEW0qFveMW0QbkmJSVcYUCXKgEGAjAgXPaGhT0JQQ29HBHhifdqBB90SnaohBBMYazUaQnAE62O55kCLSprsomOWJpiXS5pygM0l07THLSeWBD8IdBDiEfCZ5DeZ5gQa4mJdBvCOBrLM1OgBgR5ewMxmjEAzfcxvpBAYNTMzEAmckGYnflgYmeQMzrDiGZhwIIN8zJxNOYA5CLOqdpmZhmYeROIJk/zFOAICckeUBmIINeY3+k7zvBtD2+PLuPhMDWdIJAn/2Q==\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/jpeg": {
       "height": 240,
       "width": 240
      }
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/jovyan/thanosql-dataset/unsplash_data/HG2KpOO0vSc.jpg\n"
     ]
    },
    {
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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/jpeg": {
       "height": 240,
       "width": 240
      }
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/jovyan/thanosql-dataset/unsplash_data/f6qFneRNwNI.jpg\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/jpeg": {
       "height": 240,
       "width": 240
      }
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/jovyan/thanosql-dataset/unsplash_data/GKY4WDO3QgY.jpg\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/jpeg": {
       "height": 240,
       "width": 240
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%thanosql\n",
    "PRINT IMAGE \n",
    "AS (\n",
    "    SELECT image_path, search_result \n",
    "    FROM (\n",
    "        SEARCH IMAGE \n",
    "        USING tutorial_search_clip\n",
    "        OPTIONS (\n",
    "            search_by='text',\n",
    "            search_input='a dog on a chair',\n",
    "            emb_col='convert_result',\n",
    "            result_col='search_result',\n",
    "            top_k=5\n",
    "            )\n",
    "        AS \n",
    "        SELECT * \n",
    "        FROM unsplash_data_convert_en\n",
    "        )\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "1d325ae9",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-30T07:36:01.223877Z",
     "iopub.status.busy": "2023-08-30T07:36:01.223594Z",
     "iopub.status.idle": "2023-08-30T07:36:04.442832Z",
     "shell.execute_reply": "2023-08-30T07:36:04.442010Z",
     "shell.execute_reply.started": "2023-08-30T07:36:01.223856Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/jovyan/thanosql-dataset/unsplash_data/Xo4vJrtrmmA.jpg\n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/jpeg": {
       "height": 240,
       "width": 240
      }
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/jovyan/thanosql-dataset/unsplash_data/QheWOfwEUio.jpg\n"
     ]
    },
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     "data": {
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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/jpeg": {
       "height": 240,
       "width": 240
      }
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
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     "name": "stdout",
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     "text": [
      "/home/jovyan/thanosql-dataset/unsplash_data/Tu_lH5CFFZw.jpg\n"
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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/jpeg": {
       "height": 240,
       "width": 240
      }
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/jovyan/thanosql-dataset/unsplash_data/DfYPBHaOR04.jpg\n"
     ]
    },
    {
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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/jpeg": {
       "height": 240,
       "width": 240
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%thanosql\n",
    "PRINT IMAGE \n",
    "AS (\n",
    "    SELECT image_path, search_result \n",
    "    FROM (\n",
    "        SEARCH IMAGE \n",
    "        USING tutorial_search_clip\n",
    "        OPTIONS (\n",
    "            search_by='text',\n",
    "            search_input='gloomy photos',\n",
    "            emb_col='convert_result',\n",
    "            result_col='search_result',\n",
    "            top_k=5\n",
    "            )\n",
    "        AS \n",
    "        SELECT * \n",
    "        FROM unsplash_data_convert_en\n",
    "        )\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "73bc8f19-ab81-496e-860b-dda32b69c18f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-30T07:36:04.444222Z",
     "iopub.status.busy": "2023-08-30T07:36:04.444012Z",
     "iopub.status.idle": "2023-08-30T07:36:07.810551Z",
     "shell.execute_reply": "2023-08-30T07:36:07.809642Z",
     "shell.execute_reply.started": "2023-08-30T07:36:04.444202Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/jovyan/thanosql-dataset/unsplash_data/nDLYtRqJtMw.jpg\n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/jpeg": {
       "height": 240,
       "width": 240
      }
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/jovyan/thanosql-dataset/unsplash_data/qNJpGSCv_Jc.jpg\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/jpeg": {
       "height": 240,
       "width": 240
      }
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/jovyan/thanosql-dataset/unsplash_data/Yb5OBk-OxJY.jpg\n"
     ]
    },
    {
     "data": {
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Xutnueca7+sS1+mrmcWEOSgpl4NTCcASUADkj5iHb01s3KX9A4JkR/LdYzBG/u55hT5ctk2FXtxQ23A18c1ebjWjgkYvSSYxkCgkksJmZJRdYAsa2H6fEjyTR8r4vQmjtn577fTWv5fxnhCWWG0WLv7WhFapDx26xdDCxgSuVjBCSpyJKU4M9mm6aadXVWM5zvjV/S8Fochu0Nhc2Sl0A3W3TM3ddRrmethUZyQJyHC0iiWZ29JyZz4EwyWGfXS0aq5kjvxt9JTZu9YtdjRUdSx/JdZRrcdWXIA2OQuJ3tVqGABYMSLYmOufYHPQmjlROurrg5y3nixTD2ZanJpCxzryd7/RGc6p/0zhnLkZIOpbPWWlQsVdJxg/PsZ1AGged1M06qq8Ofr4Yol2FWdcnYa3fMs/m/ofIifVdau/zTZK/wc2KdkHUBPCks6nipHIxmPjqOaOa8lJYyW2oM02U7a/RYvX60gt8+07FR/n851K25GXy2Zw6HEZFJzLGKlRSZtYRj80hVz7Y/Ls1GdXLu65Gts8lVtNfyGyPNeHMWCf5frdekj7W43pFYi0Ng3y8rEl8FnpM5MkWmBOdoOwVuvSn42LVW3nItXrt3W2lXa8g2lLRXdJ/O3enaMePKRPIIGNZ29FjOFI50KGER6Q1z3iZzwfWG2LGZdqxW/oPGKN5Fa3oNNqeW6rhNRUCMC2OT1XJ84wsIViuC/xQxDRcLB489RkSyIltaOwDb8tpc8o7G7VYjlnAOGbJC6NO3R2FbXPgxIs39ewBq6zH1CYUc9gYLCxmPzSuquPFH0mZsGjfcXr8YqV/cxEtVfrDNQK9PKannVPNsuwpoQpqRShctaID9VByxzm07mu267oEg2ralI2AGo+l1uQZch4nqOUo/qt/n/HtUCpQtebHNhjSXD8GBbJTjMGQy4z9Bm7FbbT7Wo1GdTTEGGWjrMtK8alO/wAeL+Z6Pj62DBZGNO+3ZnMAbnQz1wLj2iwLd24Le5xZVpY1TFEB50JbFOWNeUjVZFZpKEELgiMCcN8LAGq433jCZNlLTf37WC7Q36yNTGshUrYB/fpi1TlqPtIQgYXkZJmxRTO3sQbj2AQmcdg4WSdcSGxBj9XKlaapXR2iyNoLcPEzx4x/glGAuIIvoq83M3lrGOKGrZEIBBYkK6STYS3CgMS3TWl2YcKpTOJMW9zwlGoBWYZ88oXEufs9nZvGxsi0pMvU7ClqSkPlvLRRgYU09tHJtbyWq8SkOsYOd/vWV+ChHCOXnZ2F3bX/ANE3TeDfRzWPN4l+lN/91uyyQVIMa59i5r9pxzdodBYI5K5ECj/O3paut3B7m/uOzwOQaITjsc2YJDKniMsgFpFoWxLGgatHutLyJFwHif36eCcHhFsdvc5DY2c3ycrGA6vGKIjsEUCqBYBYeSvzOJbYgq7FHDI49f1ttDgtfsPbTvP/AFg3Cdjvt/t+U1rSjMlz997LfsPEjCFLW6f0m30+92znVSLSLAMGq3Q7teyZu7XKb/L/APpP+oVynRb3mt+nTVq/y2GVya4n+vQhUTDsWoa3JX5wBF8YEyJIKwqwli2rp2kbGxce4xmOvWrtWbDQa6vrLmv2oKk2TAKZjMAnvivNatn57ZQcBCHiQwuvGWlOTZCMozZqDq364omex5rg41Vra/aU95gASwV8+eTMCK9Z6amTcuDWrDEC9BoUsUskibjUPr6kalCNbualmc6zNdvDtrUubm7tZEQInqA63xwjKXsaOGryWokmLpcST92y0ysQ2zmpXrKoVNvQ3CRwsOOmu2Wr5pc5NkVmVDRSW2MtNXC8lsZBwPQZtj8ajyjCW5bKbV9ePL1oRG0HlCgBazRC/wA/inElXcOMUCXY8mzJk6tDTCQd+htj9M42IEh7WBlroWsLNTmlTkm02m2tLJWfCESEcCK4rzs0zZck8jHWFtmqNexAg3PgEvDiwSmOyVyro+sVXX7K3uNgEQmQKYBXkqvIKaVmDsH+rGCYNQpSc72VIkyhRL9zlgdhao5B68cBU/yxUbWAPKYpj9ELKmSmwN0iaMxAgplWV2ZiwkrQGSrpNMOhRISqIS02mUybUHFW1WEK6A1zEV1tiXsxNZ7AbRpPqlWnCsy2bir1d7bbh80gUYTTVCSwMKZWUtxB1HWzWqqmxloqzDsE8b52ai1V2XG7huxK0bpsYqa5TgYiIxmRhYrH4Uow4ws+DCMtYvK04UFh5ZwMbmt/zbkM4WLws//EADYQAAICAQMCBQMDAwMDBQAAAAABAhEDBBIhEDEFEyJBUSAyYRQjcQZCUjOBsRUWkTA0U2LB/9oACAEBAAM/AVZxR8oR8E7GhTf5QmWIVD9h9Noiyyjg+SBHraJQfS5DkZI9h+5OEtqL4FNMnGXcUVRLdQ76WKiuxfdERJ8FCRuLXY5GfJQl0VD+T89X0ixMbVkRdmY3EUTF8HwZIS5IsW4/cNrFZRJ9I/BQkUi30REURNcdLl0VCEQREjQrOe5ZtLVnqTOBNCaPSKcRxkRvuV3IwZKUhyFYusrJD6cFFljl3PwNHBX0S6J9Jt9h0cdhqQ1wRafJGu53pia5PwRLbQkKPSTKQhdEV1chvokLpQuiEyyUfcn7GWuxl949G2USXuZES9y4JnpOeldOerJJDGOiRJyEUJdEJjKHY76QaEJMfwP4LRtZbGmb4jTPQ0SjwWUiurXRCOTnrFFH5JEi2MTXRDHEZwOzgd/aWjgqZbKR+CPAmzkZEihV14LLEhC6Wh2cdEbWJFllCZwMp9FQhUclCcXx9MSFC6WLqySHQxs5K6L6ORCfRFG59HQkrHYmKi0c9jgyJnA//SsYxoZId9OBI5+ihUKxERU6JWOUh7R2bkcEzgRQ17fRXSy+l+30M5KKOWci6UOulM4HZTG0UWKzgRH4EIX110QhCER6V0djGuifS0M9jkdlIoTORUcCORCI0IQi+lFdUIT9y+t9XpsDkb9Xskboposvo0xlifsI4K6ekqb5HfRtjOCy+nHSimMkMY6631rSSJQz7l8iz6WHPsJCfXkRGizhlDsdEnN8DsTRybShsikRLL6OT4RkfsTiuw+i+qsDR6jysyg2Ok+nAmK+k4sbL6eolQ7GutnJRtG5EMWLdJmj1P25ExZHwRpcEa7C2vgePJ9CEIvsJLacWPFqYS/J5+kg79iSGMuQ2j09iWKQzcivY9B6mbSMSzcI2om5cE9ysk/C8iX+Jr9BqZPHla57GF54Y9Z6b/u9jT6jFGUJJpiotCafBTr6WyGPHKTPP1kq7I4oaZLNi8t+xx1/cFSIuAqY4yrpaNsRWeoU+4kbTgsjIUTzdNOP4JabxHLF/PTxjwPJHbPzcP8A8cn/AMH9Oa+MY5M3kZP8Z8Hh+eNwzQl/DMeWDcXZtyMZnydomqy9+B13Zi/uNLnwyh8mrW/Jps1//VninhmXbqNPKP59hEfW/wAlCoQtwmlyegXItzYkzgfJyS3cDHEdnA2+vDNmrU/n6PEdM/2tTkj/ABIWbD5Gpy+te7NPkaamuSGRKUjFjf2mOxIgR5ISTPD/ABDBPHmxRlZqfD5Tz6VOeP8Ax+DydTPHLgTjwUfktklQ6LGOPJFOiMhG9jgjktnHSyNCPN0jmvYp/RlxyThJpnifiHieDFPPNxTPLwRV9kRlkpM5T3C95E+6YpS+4UURlK13Mbj+4k4+5DSxfiGgjtceZKPuLU49mR1JG4Y0baIOImymWipOjnkR6UellzKRRwcjY2LVaXJGr4J6LxDJja9+PpzeW9U4/d2Mylt30Qx5PVL1MtvkiqsXYzY1eJ8k5YVfc2zk2jNslFJm7RSxZl+KZPwPxSOfBax5GfqtHjn+OlG0fybhRLRcj1dyVdyKRGj1WcFHA1LqpJjhCOqhHt3+iWp1mLEv7pJD0fheHHGPaKIueSTl2NTly5NspcPhGr585Nc+5w+Ox7oU1Uu5sohRh7cM0uSPsRz+CtwXMHZOOjUWJoR3KkWJxGj8CfV2Uenrcui6Y9R4JqU4/wBjMMFLnmxWcEtZ4t5lcYzLp8MsccfKRr9drcksz2Y77GlxRVI07tNdjDXD4ItKUX3F290NyVsholJyfA8acsc2vk0EPLjkxZZyuqirMPjOgvy5RjJfbLufoJvbGlfS0WSiySZa68dhFnJTODkvpQuDhEdVppQfZoz+ETlqcXOGUufx0baRqdHgeWeP7+SGaPFK/c02nl65X+BKL2xcFH3aMUfPrV43L+Sb8RhCWfcptLv2JfoobZcklGTlwzdBNvnsY9do82OSvdHhmoUsHmT43+pL4P6b8PxY3DS3Nf3EduKK7NEJ6duvYcMrRwJiZTKNwmio9h32F0r6KKY9xKUEcGHxTw7NgnHicaNZ4F4hLFkTcH9kvkitZh3dt6sn+lw4tNi3booeLTwcptSPGFq55oZMcv8ADcrP6x8ez1l8QjCH+EfQjNpdLPJ+t3ZFzRq5avBPM/SluJxw44pW1wfqMmXHJ1t9ieCco5ovy74kYZ+jZyuwtRhvbTRllm8vJVL3PLni/HBv0/8AseTrJHBwX9CQqFfT0nP1Sy50jZjiUhUaTxTw/IpQW5L0v4NXo9c8Tg/u4PI8PwzzfdtK1jXO2hNvfAaywjF7U/cUtJkby3b9yGPQY9qV0foUt75lJbaNOtVPNmnsUoW3uNNmx+Vi1atv0qPc1U89uVQUOL72OUJY5tWjA5yn7mPG4/yfsf7C/VIr6qH04OOldbG2U02ioopdN2NmLNr4T8u6ZsjCFVRh1UU/7jDhnsmrHPNGcMlRXsaeelTSI4Y4sb49iWq0+7m4p0ka+bc9VuxYlGrm6v2PDMPmeXjk3t+9rsRwYfMjB5E5cmDLDHLy9m5f+CS5Uk7Mks6v5KxE55bSGvYafV7urH9FC6WbsiNqRS68GB90Yk+DPj1PPMTTQhv43Mjlxxvux4IS2z4+DztZFZI1GJpfLhtaaT5NB+nlPPiXlpWl3/5IaeTxabDtS4/n+TxGMXHF9r7o8VxY3DPgjkhVLmmjR+L6GMFxkiuUOT579Izj2FFNpFS6cFD6w68dKbOTkUmmUl9FofI7asl8m71Kdv4PIT3Spo8zNj3ZLj7mHPkqFVRqcfEcX+7PGsEMWLiHq9VcqSJ5cssk5W27ZpknfJo3j9Ma4/8AJPB/V2jjF8ZbiyLn25L6J42VmfTjrZwer6OOjs5R6UeldaEmblYpko9zUaSe6MNyMfiGWTmtp+jjeKHmQkS0+LzJRq/YxJOUvjg0vi/hC25F58LcOOWZYTlGUWmnTGmNktV/VuhSl/pPzZNeyRGWoqPscdP22fvyEKixUKz0nqH0rpfRpjVHp68EU+4pQHFkZw5Mc27MEJSXazX/ANPeLPHme7TTfHyYdVhWbT5FOM1e1dys6wvZJ32/x/3Jaq91Sw9lx7/gyYJy1Wka4rfBcd/gz7nuhJP34JS/AtFos84/6mRpym1w0vZFYd8/ul1vGzbqGUcDKR6h7S30otDORCtHoicdXRlm2TxTpilAy76MihZqMcrMfi/h03t/exq4nifhOqcYZGuanFnhviGCWzK9POS5aPFPDV6tfvx3thFP2JeISx7NfDFzd9v+DwmMnn1Gvepa/sgqTf5bP6Zh4TLxDIsqV/6akaLW+CYs+PDshbqHeqO3W8bGs7JEiVjGmMbj9NCFuQniienrZZFc0bOGQn7kXEUk+Dys34ZPS6j9bij+3k+78MenzRl7fBh1uDDkiuK/5P2G17ckHiVxsy/9Als/tfYh4f4BosHvsTf8stdfQXksSbFRyWx7hORHYulnPVjHsij0jstFMtFopNo1mg1G1RMmVxuLIauKFttGn1WnngzxUoyVcmr8PnPPpV5mDvXvE9L077rsQyVGhYc7jXHsLPhljkuJGPRaLTTxTk5cWjzMMX+BdODdikXNlRPUcEfMLOOnx04L6cCjJClBdOTcjZ0WVGLUS3bSGP8AtM2mmqJTx8jQsmDJifNpo/7b/rDJLNh3QuUWn8S90aTW4MepwpbZq7RdOuxGUbkYdZpNy9UbaT/g8uFE0+CT7nAnjl/BWaf8nB6ikN5TbEomxpjHRt67J9yNL1EZrueouImeoqJGRD4IkVKiombG7Ro/HdL5sPRqYrh/P8njf9LZf0eswSlhT4T/APxn9NZMXqWWMvzE8Q8Zy/8AT/B9LLdl4eT4XyLw/wAG0um3bnjgk5fL6JiicC2MUdRI4OTg9Z6RNm5FMTZwbcZZZJcoy4sq5HkjHk3pdLRyOhjTKxMnPNLgmxTVURxo8O8Qx1nwQyfyj+lnl/8Aby/jczwjwrDt02mhj/hcsuRx1pHoY3qGS2lN9I2LpjruJle56TdGuiE0fuocIxLSODgv6Nyohjkb4lSJrsezIuaZ6SmcCLLRWNm7USEonltm73FSIxoj8lUcdJKI2V0b9x70SlBcDSHt6Loi+lHArItHqs5OBdGPpGOOReST/ItpubGmP5L9zgpF0MddKOTg35kRUUJG2JyUKi+vA1L6ORJDGWKIlFlukUuikzkkTkiO1WNlsZ6TkXRijNEXFEUu5Ga7lvpKLOOllnJIlFCssfWikRxwfJ52ZuxUOyiypDpkr7nyQsSFQj1Ms/JRLC+4kvuMeWcVuN8U+lm0fRCYujvohIihCjB8k8uRpSNonxZ+Sz09PQS3MkikV7lxL9xyl0cRpkk+DKZcGoi93uY8+CHr9i/c4L62ND6LqoLueurIpP1G+LN7bZ3MnmEi0bYiI0cjbMlMzLsjKo8kxnJaKst9GnwZdHkVvgw54R9RFruRYhdVYukYow4U/UQyNpSG8nBOXuTZwekrkSoTRF3yelk5DrsQ3EavotpcRUbGcG4d9voyY8yVjniXJIoSiRg+WYn/AHEL+4hf3EZruR0uGTs1WqzS2ydGok+ZMaRQmJdLicjXuMvgqRBL7h7h0OzI/YltHRZ+SyLRFN9GPFlRHaotmNL7jFH+4x44P1GWeX0mf/Iz/LM+9eohk09uR5uKoyPOkSUoqhxQ1ko/PRjbOCpHJCKsrJwKvuRjvsccDvkh8lDaGijkstH4EUThNcmVw+4zbu5KXdnq6LpqNMmk+DLqZ8s3pcC3dio9jbqjguVHIrKHY4jkjJkdlHmlR7C7HHcchoaXVoUu4ujHGZuijJJcIzONtEoxK46ItClnV/JB44ENqdEfKkL9dKPwx0TvgyLuOhvv0Sj2G5i2EvMZ5XsRaobmUrYovsWi0ySbFQtnYaE0Jm6xo9SRjnjXBjUftNsJUhrI1046PHlTIOEU5GKWNckfKlz7G/xGT+WSpFSMexolKQ1Gx7excTbkJbBOQqJ12G0rI0dqQoxKiciQttHcaGKi0ZZZlRl8pEmuUN45cHk6qQn1dmXSZbTKiouQs0XTFl1G49KJ7uCSFtF5bQ+URUCcpMqFe6MjfHJtZeMVqjaxHFkpHI12HuGK6OBwkSaMLyRvuaeOJdjEY3jkL9TJoZfVMnB8GVtFUO1ZuNxsEvcqxzbNsond7qsXlLk5JyRtZBpcm1oU1TI3wO+whRlYmJMbRu4KRPTZdyJQkkTz0rNunlz7EpaiW4QmWqNrLZ8ldh2TtckovpiruKUilZVkfcW0yOK5PM9jbHakbeCXBJvklu4JpikuSEbNw0xyHYum8lCRLBljbI5uEOeS0NexIo+TtSJ12PkjFpkEcjlROI1NqjzGVEy3wiVi2G2xKxztpk4cSMc1wK0JO2KzfHuTvpJS5ItkWyhm5UWbaGQRAWxsZHbyY6QjmzbCxtohFJHmq/YSySpWZFH7asuPcjXIpSXHYlf2m1pqXBvX4Lfa+SPlulyTg7sp8inFkpNmZfwTl7G20VEkiQnF2RFRsPMG4E0OLJTFXIoSpDkNQ4Zkc2mTk+exsV2Rc+Pkk41TFOO6Ri4IJs9URL07iCMqx88ntYqH2N6G5E0miUJVQtvYikb5XZJC3jSZfSu3YiKM0iLjyYWmiDyowpIioujI74MkPyJxoinyJ3Fo9PDFkyp2RjXaiGD0/Bi8nmSt9jdOVSHKuRKL7cmb5P2pD3v+R7lz7HqPQxHY/dOWcyPTE/bY/OfReY/46f8APRbjiJ6n0d9zuLZ2PWdj1H7hwek9Mf4JeY+X7j2nCODg5P/EACEQAQEBAQEBAQEBAQEBAQEAAAEAESExQVEQYXGBkaGx/9oACAEBAAE/EBHC5BB8kxMmOjtqieQHjeX/ANC0345Yx9iTP+LdiTfmQjM/gtcIt+32J9REBRLPoSSHHLbtD3JDcuJ521RgJj3uAA89bNp3kOB1ux1Yke4PtlanWYQsRAxKtXZdC9yFgshOZJ8t3YXedjnCfInBIMnUldWviyWdZ1mOEEXLW4+EtfKkeHkhc0SSnBHIwkgc42QWHunG504WDp2GubO4mPWHteAYYlsixPYY4RIE7fSkEcSIt5wRD/DXAvof519hnGWbmWKuUzOm9u0X2wD9essI/wDbHK+TLxlP7OFsk2xPg33F30TicTgsHvsHLB+XLkBcnvH/AMgmM8JNGw9WjrYuTtZ4TNtxK9Wu9n622eXdjsnd2Yg9Pt4urhEgEfBNAJT1a50EfWOliYZXGdtVSHoizCVXewhmz7y4LWjOWNsj1yVY4QNk3is+SOaSKWozkU0p+z17NM2It0GS3Imdbb8CMnjHjyCLR9LLONvLeFhQbr8vYuduXs+vZbqkWOv7NTyTCbAmmEXI2j1hmYDTdduXHyIjBIu9vA/wE+TJVjMxsN7Emse2f5PjTuwfJ7p21EImZ7eNsDnYa6mTCfyDwn5CMCYgJDH+ds9ZR/MB4mxAl/kKt8cTyq+zPk2Hq6Etd5fmk/JrsTxkUMINnnw3rQcUtXy0uZIUwI8GEGDHGbBDtrx/B2KTDisw7FGTNu2aoG30MHBvGamM3vbyR52fUvoX1oPEpJsfeRMonum43nsF4vMOG2uhtHkNPiQPPYH78hT2bxbB1hRIcukAd/hTf72cdBYl2nLrGwsRxNJDLo21KeTvX8QEDtwsBu6F42C2aahcSaMVpI5daRz6ybAdINRvZKeww9gv29swXHJBvL6hsvEF3GNJQj+n+B1kKrUZc9WobN8uFg2NHdReD2V7G322ALTLTLV0mdBOz1tqobq/kFfkaQslqTfYfFywh5JE/wAF9UnDhfivwRemIW/a7nSH3Y4lTHsjaU5ZrFZODavdj6zYsCXw4TzZVtHiAEkgufzQhEA5BX+ePizSUH8lwZPP5h+EsTQcYMUU6yD7GlhI0wugywdSeOwvRy2S1eRAbi/i4FCcj+rcWL1th21GwSYYOQ9fy4pCB2Ce3+/8EnhhWhJq3l+EVnwmPmbhD45LJ2OJUZnYJtk5CbCnksjwkBY9diFBN3kZ29BMzshNY7I/IM8hfFgSfEriR/MDvraTGYNlyYJKgxuIu/5GU6UGeyfYiPYUsByb2cicWRywQjtO24pL9yBEoWwHrK/VpR4b2aDL0JeYxYsnn9mh26nWwz5ZpsAI0TMxYF69/kxpP+zYKLYg8S8IWAMGpfmx6zepdbY9y1ufx0vMmVWDXsJzLvb0J5IM3IwbcfAHrCplOcbJGNuGm8ZsGnObP+IBH+BMBy7JtQR92yhsfDEPrRYFnnrIZ+wHmxurwHmzjFd+wLc6DVpduHCEeRyCC/FthetmrEVPU8nSGgHCj4IjsRBeSBNJfyI2B7f6SLNyGDFv6mE8ILLOlMxi17lw8s1heTn4k5X7HG2MnpNrW1Uwf6nIBCwV2HeTXkf6KgGw2kpGyff/APs2zv8AbCTieiyEAuGIDgSxv2wNxIXaCcazoMxlr8+pKXueY1Skv9ID+MOMcNkE2erNpm0Kh8tzJxdYN4knbNvHvLfkt83OXixw/SAU/qWMCwfxAu1wcX2Rc+e3fLekXARGcCFe5klwywQ/zjHAE6FrbKo6ztF/jGlXZrd2NHEPLj7KWZsE4t4UgnuyiuScSTNozWT3trk2ojQpYg73Mo/GUywharxHLumcba8wD2xdUcnaB5s/kcMWMCC9/wCy0GYpn1b9EZohffi4XzwSMo0d3+ZaEavYSRBeBdIngQoFGfGQ4QzL8g8tsBTtzXvsuLAiJMdlN7DTH+byOsEOH1JPkA8YJfqSUBwd2doeMk9P7OvaPZ/QCU1e5Yaujg0y72F54RfcRsqHLb5JfI6Rz1tEqdJKzxxAxAYs5BA8L8U0QY/iEQ5enkcJ6XHS8of4kPutAPgNJ1CWdgaA/ZWFXQQXRQqvBTpDCes2Mj3LkLjOelJi7/1bZSC+frBtsdnxIXYwfynVFur1ttNIGeWl5BaAyM6u1ne8kgAIOI0G1zRtQwifhOT1ydsa9TCP1AebK14AjczJng5f+WqnnowdxyyiA9brdkQxb/01GxDZwQiE2U2wQ04bnZXv8ZeyuNiGYcE/kB8T8i7PbsbShGAi6DY2g31YkYqwj/c+woNWT4GYcv7aj4/Xj7YuNzMMOs0gU1w0CBLAUXAl+YELDjgm9EhRe68+wof8iI1sRcHdtUhV8xbSASDyZuQY/wDAt27sJyDI5t9uoMiReTKPYIM2YwyiKPBceCevH/wbFPoGngRCn668snwOHB/4Qb4yL/6hLYiwTjKkS4/UtPxMLkpaQbrqzZPD2/4MOcP/AAJZl6Ax4n4RSjuiE3PZiAzWUEL6si7bkSeSkxJ8W7loNLVTxYHZMuB7YHsrZb5vbAZ4WJ/I2Yxx6rTsMLPZzisezKIHJ8Y6xDxtza7nr/zJbGY1dLxLRsAkwPp2cj4hB/0nTC12rH8YDn/Kd/7/AMnDPufY7m6sQe0jDsrYJv2ZJVsWRMNYX23hu+zpix2DLMlc4QXsJDyRQthX6TFPXuWB5AviMcy12S5MEBrW7D9H9IzQc4uZJ72r8lwDv/hwPsnzuvaA8FLgtPXz5gTP05Pmv9lJMfQ8bEPOri/5a+ZcpX8FwyNkQ2MeQ0/gu4EcJa9kJhafZjs9n2HjgH+abY2S1S2SPFu0rZMJhJijnjs3aM3EHvjV8ZobIw+lrNdgEPon6vjthQRCzDV9TspwEBlIscTb42KHNTYE63X8IOsXeBm1dCLqweST7dkJY/iEHk4J+rg/iUZZh/BORtasQEKMo6GTSA7qTNFwyHsrTTNyX5HrGjiVfmSI9fUEmALI3D7578nWaB19VnBYqoPNJaDAI4ICXCYDf7DghCQJ7ycXIoXIi3Mzd62S1mlDjBHGWzmzSwYIpxxto82rC+ywgnSf9vM6lkJ4a9LIk3uiwZnDOEJgAg/EupbxlmYfjfDPG84kZmYTf+djt+wU7fQsftqdudDQ32FnY4Rb7ArWwIa806IZm7UzLXV+T8hCBI7ABPV3D6D/AC1oEdAv7IFBn7f9KlN1ajpH9R8m60L0tem48C4cI2d5p+3Ytpp41cozun0g+Q1/gvyMb9j+5m9iRWF0Mgdi0uZM37JzYo/mYR9b/wCNHDHN1nKZDYqbkbBcQuTAOyQd43U9MJST2Ah8uM/P1PrAEyIMz0ro9jVr1ahz9mvKu30/oiJ/k2qfLkYhn051kuCNM3fL/wAlZvbMbmtkWTJleZsbdmMuzHIuggEJN+3dfkH8u0dZBHlseltp4cTQWcRE5nBlq1NyQPDQmzcit/8AsbDNWC6oGAIcFYLOH/7K2YwxbCsl5eRdl2ciGYaWQb5C4wZaC4i4BjwvWZ5GG3RtBE/gFL+AD7ZR7aqoMCG26/6RfqlskRE2uqHTlNtbm0rvOiXAldm1fItXvGmmTPGKIvrA3TI2Z5CAthlwxMMiJDPiy2OjUom2pxlj2BjtgnVLpF0WOLOs8F4s503ZIisop5ujQkM9ZPPyD09ZYXieeNyEIQDwxsh4YR4B6wViPuhFkAA8teGNIZOD+qxf+pt26YFkOP2eWWRqhJdvlZuyDVuDN3Z++O2YYB4lwxYWqyZyIdjkS6OLrcjI3EPbpr3t+BjPP8TbEHiQ/aEH4KNv3betx/wWqTJe/Rsya6XjFoRr/mwH/W04tHscABMLndhD/wAths3SS0J7Ey26/ktpYJdSAd2rQpaMgS3cbEwlltfuRk8bIbnP5MAz7OBGcyUuvDvgiPfrH/6Dc88uT+iXreCH8AGMSXVy0wtmZhmixIZgC2aR9hD2YwOX7PV0DFi1iaji0s+5CilCEHhK7li4hSgoSMXeI/iAv4B/8MD/AMZp/NvL9Q7Ln3JLyZk+xoGGpn8gxnyuebFSv+0dEHCQBZPZIQX+AGA2TqA6lf5GYxNiGiYLI4/27n27t8bafsb6+T5H2IGxAHxbQsJntgM/YkJQL/IDcv2Wg3BYHIAyNHLFhdnsj1bIE9sts4ZIw62xy23Iv8hohm51gX80dm9Z3aPptsMn7L4mFMAF2aOfsl8FpGPEezINMsjSc34lpKRzixAINduOkPRLiw+xhGabmvLoLBGAIa0xDAYE7c93wBsj3anST0zttaNoID0xpCLllYkl1M7ljg2/uCcjoghOvgB7Wf8AWIGKDmzJCYHW5Ejy4UmDthDX1pO9kcrRMhq1I9fqFO2hv6XR5fByaw2L37DLt90QaMhSYvsiHIJ0nEp1YU1tJgBCmFxAj0QM5/Alin7msoSiGHJRus9YZ/LsXKyfoWDGR/T7IAZAi4HZ+0LmmTKSEgkSBzs2eCWDUe2vUYT3EgXrXVy0+W9EHp3fcCEeauY2f207Bz3+Bg3+b26ltNIwWZotbhKmc2TjbRAdbtRNlbmzkPQnMBs/uGNPZID8sghBfKk4KwGLqQPq1sFJGDcjzyQ8tU82R/xCzsfOzsLcwxjxL6zZmm2pHfnBsYG+RlwLCPq2oXkVI4LwtDpOaYkZ99k6QKeWDRuwl/yzAdwtd1/5AOeo4bBbfrnNnRLoCAAjHk4ZK37Elm3CSjPt0nQkC7rqR8puijQ9yxNYvZgYgcfZD5bO2eLG72INqG+xueQmWnu0QnwJMCgzS/xG6EA84Rj/AIt2BLG30C7IcdtIWg5ZaxomWqFPiB9Zls9ZGajsrqELQdIJ5Inh8dFkX1Yi75O1UMcxxsz2zpoAdsRbGy2LrdFhAG2jbxleKyGaZpA/4IL12c6K+YS/G+5swmXsj5JFoZBrhxiN5C1Jlf4QmtHETpSZqusgWVjlfEIH4Q4BsHxmCOsZL/kvcM0N157LDUDrbUNmTXwNIhZBJq0mH+I0n24JuzHIsByN9cLBQlcYt29ZM3lkBIjkS05pcgPLwD+eMjdGxW1GBgB8YcGk4Z8gCfSUiQM2Bpy4R2440suxskwC0h0DxmbCaqS251fLFdlzi+ETLIIc2FCfWfYrMlEGVNT7kVm9W9QicxVzeH8MCr8Nik+ySfOSrBBhDwtg9hj1scMVtukLk5PeRF0gbjUtAnxkOel/pzPdoQoSD9i778jp2zT8uVyaJKdnk7B8gNfckgvf0k8y00laBa6L/LTn5pcDEKd8WHeWV54y/wBxmHJPcvuXTyDeRq6LqHAtuHuTNlg/Fg1hAPfWSny2FgdbWHDfYukwzbzVjmQsBaO2HcssTJTemYgwMg2qmGk05nvs3xhA7ZWWiKrjsBTAdmDsQWNv0Vg/0LBOEvDJ3AtDlmAdgcOLBgCfwowwYzjHkUgZ9B2zn5Y473oMkI+sFuYOc6eS1s/9gwk3fBmsIPqGdbzbFAyB6hW7sQPTcQRtDAG/VySwuQDprGFuzLfJ/wAmjgex+nL1NB5ANi87E7i118oz70vGcdMep4NGNOcLjtvkLyHNbsq2vj+z4hvbF1CGFPWxhOkNaZIs+XdJkeCS4GN6GyRI8OY28888ID65DBtF0ZBVwlySBQkG6Rc227S0NezBUt3DcgeR8q/IdmPC3xBbMKc/bEDy5709h7dLgjY/II/Z60nBLmkv1OmhdmdZPE/URGpdS4Y01zE/ECL9o7E+Gtxj99s0flkHeyodQR2f/V/1DCmdcmNVC+H5GRkvGacPbbzsiOS5j3krM1WG6aPy1E5kw4Eod3GZf/C8zjxizCJBuH0RL6hwA/5GFDfYOA4GXOOA7swLQ7L4An5Jdd3sgGYJNV931fSJy7ISdz2zgORkfeSgBWHjj/lnMzvko8C01OZAPu/heSLXgbkS6eTrBGkw+d/mxgAcJxBOnPbkxsUFIuEdemdfTPTBk8BnyUJwngMWG10gnQI3/sR+AxKNUiNgf2X9T1s54stXs+XsWYXX/qb9X/75B4RPn7eF/wDhb/8AU3dc/wDK9k3Z3vWBgBzF7mM3CwOHtx/wm2ARLG68nprs9ceskefref8A3Axz7ErYTP8A0n/9N/q76kdKz/8Ak3lduTq//8QAKBEAAgICAQQCAQUBAQAAAAAAAAECEQMQIQQSMUETMgUgIkJRYSNx/9oACAECAQE/AGxclc7so7SmJDjqiSItJ+C+CMquxNWXZQitosbFYrLLG9UtPUZMob5EWNikciFW73QyKTFGNFIa4JXekMRaHVCiUMo7RoVjZFik3ptkk2JD1R2FPXkkJiY3qrFAXBGtNFDXOooo7UOOmJiGhFjYtWORZVlbti8EmSOh6eGTFO/PoknCTT9DGhXtC8DEuBC5MeBzZLoqiSi4uhMa4HE/HxrD/wCs/IY6mpL2W9LFJokmmIQrKGWdA4tzi1dkMcYfU4OsxpNSEpN8Ij0vUSX0F0Gf/DFDshGJ1qXwPeFx7TPXcREhaQonTPszQe8vTufCfBjwY4KkiitdRi78UkicJQlTRRCTXslbkRQ7TKK40jFDunRjb7Fflaii9Vv8hFdifu92RfI2hsTKEdJXeeHqAmkd3OneupwfJj/0Q0ULaOCTOhg3JvXuiP1IsVDkrLGj0zOu3NNf6Xu92RTk0jBjUMaWnFNj44YnboXCKt2WyxHVdI25TQ00/wBC5HrpEnlQtMnE7lfBCT9jSoUqLbaPZKqZlr5GWhCIsbKOjX/Qj417GuDJHtd0Rdx4IZE15LiRlF+BDOo4yyWkUxCoZ0cksghDR3tOmSalwyH7JEqVNF2iHDZ6110O3K3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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/jpeg": {
       "height": 240,
       "width": 240
      }
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/jovyan/thanosql-dataset/unsplash_data/6etH6346MHE.jpg\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/jpeg": {
       "height": 240,
       "width": 240
      }
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/jovyan/thanosql-dataset/unsplash_data/7GX5aICb5i4.jpg\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/jpeg": {
       "height": 240,
       "width": 240
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%thanosql\n",
    "PRINT IMAGE \n",
    "AS (\n",
    "    SELECT image_path, search_result \n",
    "    FROM (\n",
    "        SEARCH IMAGE \n",
    "        USING tutorial_search_clip\n",
    "        OPTIONS (\n",
    "            search_by='text',\n",
    "            search_input='the feeling when your program finally works',\n",
    "            emb_col='convert_result',\n",
    "            result_col='search_result',\n",
    "            top_k=5\n",
    "            )\n",
    "        AS \n",
    "        SELECT * \n",
    "        FROM unsplash_data_convert_en\n",
    "        )\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5389cb4a",
   "metadata": {},
   "source": [
    "## __4. In Conclusion__\n",
    "\n",
    "In this tutorial, we searched for images in the unsplash dataset by text using a multi-modal text/image vectorization model. As this is a beginner-level tutorial, we focused on the process and showing visible results rather than accuracy. The image search can retrieve more accurate results by utilizing various queries.\n",
    "\n",
    "* [How to Upload My Data to the ThanoSQL Workspace](https://docs.thanosql.ai/1.5/en/getting_started/data_upload/)\n",
    "* [How to Create a Table Using My Data](https://docs.thanosql.ai/1.5/en/how-to_guides/ThanoSQL_query/COPY_SYNTAX/)\n",
    "* [How to Upload My Model to the ThanoSQL Workspace](https://docs.thanosql.ai/1.5/en/how-to_guides/ThanoSQL_query/UPLOAD_MODEL_SYNTAX/)\n",
    "\n",
    "<div class=\"admonition tip\">\n",
    "    <h4 class=\"admonition-title\">Inquiries About Deploying a Model for Your Own Service</h4>\n",
    "    <p>If you have any difficulties creating your own model using ThanoSQL or applying it to your services, please feel free to contact us below😊</p>\n",
    "    <p>For inquiries regarding building a text-image search models: <a href=\"mailto:contact@smartmind.team\">contact@smartmind.team</a></p>\n",
    "</div>"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.13"
  },
  "vscode": {
   "interpreter": {
    "hash": "aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}