RAG_PDF_chatbot_using_Mistral_and_LlamaIndex.ipynb

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  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# **Build your own PDF chatbot using Retrieval Augmented Generation**"
      ],
      "metadata": {
        "id": "Qm3DLk7L-JEg"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Using pretrained LLMs to interact with complex PDFs on your computer.**\n",
        "\n",
        "Demonstrated below is a method to tinker with LlamaIndex and Mistral-7B-Instruct-v0.1 to build a smart agent (chatbot).\n",
        "\n",
        "YouTube - https://youtu.be/fckpHf5Qjxo\n",
        "\n",
        "GitHub - https://github.com/neelblabla/pdf_chatbot_using_rag"
      ],
      "metadata": {
        "id": "RHjpFEzzHkr2"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## **Approach: Retrieval Augmented Generation**"
      ],
      "metadata": {
        "id": "5eh_Vf12SMIO"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# @title\n",
        "# RAG schematic\n",
        "import requests\n",
        "from PIL import Image\n",
        "from io import BytesIO\n",
        "\n",
        "url = \"https://github.com/neelblabla/pdf_chatbot_using_rag/raw/main/RAG.png\"\n",
        "response = requests.get(url)\n",
        "\n",
        "with Image.open(BytesIO(response.content)) as img:\n",
        "    display(img)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 757
        },
        "cellView": "form",
        "id": "2MBv5YMRPpcK",
        "outputId": "70306317-853b-459d-8a94-46af1cfa93a1"
      },
      "execution_count": 1,
      "outputs": [
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          "data": {
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              "<PIL.PngImagePlugin.PngImageFile image mode=RGBA size=5120x2880>"
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c8b8hkzImq/Thz+ulf6pXqI/vGwAAMFIEAAEAQErz+fL1/HMbVbSoUOuffMZ6DgDASPUTa1X14Aot+9Kfyn+yw3oOkBSamlvkut3jvhP+eFUsW6rHTBd4Q7lHAoBbtm23njCsqsoV5h+zY1FWUqyiRYVqPdRmPQUAAAAAkp5XIvuIjtkVd2t2xd1Ru96J7/9Y7f/y43FfZ/H//XhUI4BITJPTpios7hQPpJr82TP1zN89qj/8/P+hDd/4jn576pz1JAAATPgK8vX8tzZGJcJ/7nyn2t5uH/Y2eTMcFd48Z9xnAUCiWOq6arguVxfSR/fQQiKAAAAgHq7/VPR+fnf5mgs+q/fbD2gg1Bf1awMAkIh+v3iBspypUb1mljNVv19cqLaXr/2ELAAA4JIJ1gMAAAC8YM3qR3To1y/JV5BvPQUAYMTny1fzvhc9E8kCkkFN7S7rCXKcHJWWLLGeYS4aD4oYr4OtR+T3ezuymsifAyqW3Wc9AQAAAABSQiJ/7QggsUyakGk9AYChP/z8ndrb9E39+V/9sfUUAADirqpyhZr3/TBqP+c+8rb/mrdZXv7ZqJwFAIliciSiZe93ano4POqXHYoATpo0OQbLAABAqrvOd6smZzlRv+7ESRmaMd/+/tQAAHhBljNVv7+kMCbX/v0lhZo0he8ZAAAwUgQAAQAAPuDz5avhh99T0aLYfNMCAOB9jpOj2u9uUfW6tdZTgKRQ17DHeoIkqSLFH5hfsWypHGea9Qzt8EAQcjiOk5PQHytVlSusJwAAAABASvBCZB9Aapg0IVMT0rh7H5Dq/vyvVmhP0z/o92bnWU8BACAuqtet1fPPbYzqz7hfP/DWNW9TePOcqJ0HAIlivBHAW2/7gxisAgAAqW7GTbH7eWzefJ5UHgAAScqbc0PMrj0pY7JuvGV2zK4PAECy4R6CAAAAVxiKAFZVLreeAgAwVP3EWiKAQBQ0NbfIdbutZ6R8GK3cI1G7uh/ttZ4wrESO/0mXvpYpLeGOSQAAAAAQS2UlxZ6I7ANIHZPTplpPAOAB+bNnanfDBj38Z1+0ngIAQEw9/62Nqn4i+vfXaTvqH/b3C2+eo7wZTtTPBYBEMBQBzB4YGPXL+ubN151/UBKDVQAAIFVNynKU6cQuSDRxUoam5hGABwDAt/j3Y3r9vLmx+3wOAECySbceAAAA4DWOk6Pnn3tWklRTu9t4DQDAytAdijc8u9l4CZDYamp3ac3qVaYbHCdHpSVL1NTcYrrDSllJ7J4Jc6Qam/bL7++wnjGslUkQAS8rKU7Zj3MAAAAAiAevRPYBpI70CZnSoP2TrACwNy0nS+uf+lPd8imfvvUP/0u/PXXOehIAAFH1/Lc2qurB6D+5n//kaQUCwWFvU3iTL+rnAkAimRyJaFmnq4ZcRz0TJ47qZX3z5kuSXvtlcyymAQCAFJOZOyvmZ2Tk3qCL59pjfg5g4dz5Tp0778b8nLwZjrIyM5SVlRHzs0YiEAjq7IVO9Qb6on7tzKwpmpqZobwZuVG/drScO9+pi73BmLz+0ZCZNUVzZsf+73eMjnPDdTG9ft4c3udIXp1dQXW6w//cIVoypkxURsYk5ebYf84N9oXV6fYq2Df6JxIZqVwnQxlT0pUxxXs5tHi+38dq1vXZnnzb4dp4rwEAAHyC5597Vp1ut+ob9lpPAQAYIQIIjF9dwx7zAKCUumG0spJi+Xz51jO0Y+cu6wnD8hXkeyKUOF5rVq/Shk18zgIAAACAWEmGrx0BJJYpE6eqJ2y9AoCXLP+Tz2rJXQu06sG/JQIIAEgasYr/SdLZC9d+0PuCm+fE5GwASCTZAwNEAAEAgLkM54aYn5HpECRCcgkEgvrJS/v105f2X/NJEGLBN3uWsjKnyDd7lgpvnqsFN82JSxhw6PVuevWAzp3vjPl5kpSVlaG86bnKm+6o8Ja5mpM/S4VG31c6d75TP/nX/Wraf8Dk/T5aeTNy9bWHvmz29sKHTcqYrEkZk2N6RpYzNabXByzse+W4Xn3tpIJ9NnfkmTUzW7lOpuYU5GrW9dM0tyA35mcG+8La/9pJnTjZqRMn34/5eUMypqRr1vXZmnX9NN0wM1tzC3KV62TG7fwhQ6+/5ft9tO75zDzd/Zl51jMwSgQAAQAAhrH1uY1a9qU/VeuhNuspAAAjRACB8WlqbpHrdstxppnuqKpckZJhtJWVy60nSJIaPR5fLCtNjoCD4+SotGRJSsYuAQAAACDWfAX5KioqtJ4BIMWkaYImTchUaLDXegoAD8mfPVN7m76pjd/4nr7z//+R9RwAAMalet3amMX/JKnt7fZr3sY3m/gDAEjjjwAGAj06cvhAjNYBAAAA+Khz5zu14R++E7cA3tX4T52WJLUdbddPX9ovSSq8aY5KP32bFtw0R3kzcqN+5pGjJ/SP2/4l7uG7QCAof+C0/KdO6/WDb0m6FAUsnD9Hd9xWqLK7Fsdlx0//db9q/udP4nJWtFz6WN2u6r9aRQTQAyZNmWQ9AUgowb6wvv+D1rgG8K7m9NkenT7bo7ZjZyVJuU6G5s6+TosX3RiTGGCn26vt//JrdbrxD80G+8IfRAc7L/9arpOhwvkzVXzH7LjEAE+f6db27/86YcJ/Q37+ynEFg2Hd/7mbrKdgFCZYDwAAAPAyx8lR7Xefl68g33oKAMBQ9RNrVeWRiBaQiLZsfcF6gny+fBUtSr0H6ZeV2IftGpv2y+/vsJ4xLK+EEqOhYtlS6wkAAAAAkJRuLVpgPQFAikpPm2w9AYBHrX/qT7X+qYesZwAAMGbV69ZefmLOWDl33h32930FNygra0pMNwBAIhmKAGYPDIz6ZQsX3qYFC+MTvAAAAAAg8/jfJ2k72q7/9p0X9e//0z/q2995Maobz53v1Ma//07c43+fJBAI6vWDb11+fXfX74vp+6Tx1QMJF/+70re/+6L1BAAYtX2vHDeP/11NpxvUG4ff1fbvv65vfvsVvXHo3ahe3yr+90k63aBefe2kvvntX2j791//UBww+mf1JmT8b8irr5+M6dsH0UcAEAAA4Bp8vnzt+N4W6xkAAGMbn36SICwwRo3N+60nSJIqlt1nPSGuykqK5fPZ/721Y+cu6wnD8hXkeyKUGC1VlSusJwAAAABAUionuA7AyOQJU60nAPCwh//sC9rV8Ix+b3ae9RQAAEbFV5Af8/ifJJ27MHwAMCszI+YbACDREAEEAAAAvK/x1QOejP99VNOrBy6H8aLBywG5c+c79YP6fdrwD9+J2uv7UT+I0XXj5dz5TrW93W49AwBGLNgX1quvnbSecU2dblAv/viIvvntV9Tp9o77em8cetdT8b+POnGyU9u//7q+/4PWqLy+H7XvlRMJG/8b8taxs9YTMAoEAAEAAEbg1kULtPHpr1vPAAAYcpwc7fjeFjnONOspQMJpam6R399hPUOlpUusJ8SVV8IEjc0t1hOGVVaaPPE/6dLnq9KS1PpYBwAAAIB4uHXRp6wnAEhR6ROmWE8A4HGFn5qj7Tv/IxFAAEDCcHKmqeGH34vLWefODx8AzJvuxGUHACQaIoAAAACAt/lPnbaeMCo/qN+nf/+f/nHc0cJEiMcNhQCj8fp+9LqJEH28ltcOtFlPAIARO32m23rCqHS6QX3z27/QvleOj+s6J052RmdQjLUdOxuV1/ejTp9NrPf71bQRAEwoBAABAABGaM3qRwhpAECKu3XRgrg8+ziQjGpqd1lPUFlJsXwF+dYz4qbCAwHAxqb9nog/Dmdl5XLrCVHnhfc9AAAAACQTx8lRUVGh9Yyr6jx0TIef/Wftf+wbOvDUczr233frXEureo57++txwIvCF3t1rqVVx/777g/9uTr9ku0TXKRpgtInTDbdAMD78mfPJAIIAEgY1ev/Qj5ffH52HwgEh/39vBkEAAHgkxABBAAAALzrWt/z8KJz5zv1n575JzX94g3rKXGRaq/vSCVDxBAAvO7nrxzXiz9603pG3Pz8leP6yb8ejdr1gsFw1K5lpdMNKtiX+K9Hqki3HgAAAJBItj73rEru+ZJcN/HL3QCAsVmz+hHV1O5S6yGecQgYjZqdu1S9zj6gWbFsqbZs2249I+aKFi2I2wMmhrNjp334cTi+gnyVlRRbz4i6qsoVWv/kM9YzAAAAACBplHn0CaLa/+XHOvH9H1/+38EzF9R5+Jg66vZJktKnZip7br6chfOVu3C+suflK31qptVcwFPCF3vVc7xDPSc6dPF4hzrfPKbgmQsfu93Qnyv38DHd8vhKg6WXTErLVFj9ZucDSAxDEcC1/9ffq+3Ndus5AABcla8gX2seXWU9AwAwQtkDA/pDt0s/ui5X/Wlpo3rZwoW3SZKOHD4Qg2UAAAAAElGgN6hvf/eHkqTST99mOyYOhl7fsxdcLS+/23qOJ/g73rOeAAAp4Y3Dp3X6TI8eXeXN+z5G26uvn9SJk+9r1YN3KGMKOTVJCvaFeVskCN5LAAAAo+Dz5WvNo49ow6bN1lMAAIY2PvOkyr/0kPUMIKH4/R1qbN5vHlsrL0+NAKBXwgR1DXutJwyrYtlS6wkx4Tg5Ki1ZoqbmFuspAAAAAJAUSj0Yj+853vGh+N/VhC/2qvPwMXUePqahBFD2vHxlzJwuZ+F8Zc/NV+6i+bEfC3jAUMiv50SH3MPH1HO8Y1Qvf/qlFk2ZOV1zv/qFGC0c3sS0KSbnAkg8QxHAVQ/+LRFAAIAnNfzwe3E769x5N25nAUAymxEO64vvdxIBBAAAABA13/7uD5U34zoV3jzHekpc/KB+n2ZOd1IieggA8I7TZ3v04o/e1Je/+CnrKXFx+myPvv+Dg1r11TuspwCjQgAQAABglNasXqUt216Q63ZbTwEAGCkrKVZV5QrV1O6yngIklKamFvMAYFlJsRxnWtL/W66q8o+tJ6iuYY/n385eeDvFSlXlCgKAAAAAABAlRUWF1hM+pv1fho//fZKe4x3qOd6hcy2tl38td+F8TZ2Xr9yF85Uxc7qy5+VHayZg4sr45cXjHeo50aHwxd5xX7ejfp9ZAHDShEyTcwEkpmk5Wdq+8z9q+bJq/fbUOes5AABcVlW5Qj4fX3MCQCIabwSwP9Svd94+EqN1AAAAABLRN7d9X//l6/+X8mbkWk+Ji29/94fyzZ4lX8Es6ymm8qY71hMAIKW8cfi0brh+mu66s8B6SlycONmpn/zrUd3/uZusp5jLmEJWLlFMsB4AAACQaBwnR9VPrLWeAQAwVv3EWjnONOsZQELZsm279QRJUtWDK6wnxJSvIN8TYYL6hr3WE4bllbdTrFQsW8rnKQAAAACIklsXee8ZcKMRMxvSefiYOur26fCz/6zX/sP/o+aHq3Xgqed04vs/VuehY1E9C4i28MVedR46plN1+/TW5h3a/9g31PxwtQ4/+8/qqNunzsPR+xi2/LMwMS1dE9K4qx+AkRuKAP7e7DzrKQAAXMb9LgEgsQ1FACdHIqN+2VtvW6I5c+fHYBUAAACARBXoDerb33nRekZcffOf/kWB3qD1DFOpEnwEAC/Z98pxdbqpcx/AV18/qRMnO61nmMp1MggAJhDeUwAA4GPq6vfIdbujdj3HyflYeMLny9cc3+yonRFva1Y/oi1bt8t/ssN6Skx1ul1y3S7rGZ7gdkXv7eC6XWr3n4ra9eLB6s8rH4N2DrYeUWtrdJ9t9aPP4O3z5ctxcpTr5ET1nHjx+fK15tFHtGHTZuspGAf+nokv1+1SY/N+lZUUm+4oL1/qmRhhLJSV2r59pUvv65ra3dYzhrVm9SPWE2LKcXJUtGiBmppbrKcAAAAAQEIrWrTAk4H19KmZMbt2+GKvOg8fU+fhY2r/4Ney5+UrY+Z0OQvnK3tuvnIX8WBd2Og53qGeEx1yDx1TT3uHeo4n989rr5Selqn+yEXrGQASSP7smdq+8z9q1YN/q9+eOmc9BwCQ4qoqV3zsvkMAgMQzIxxWcXePGnNG/z3TO5aUSJLaTxyL9iwAAAAACartaLsaXz2gsrsWW0+Ji3PnO/WTf92v5eV3W08xs+CmudYTACDlBPvCevHHR7Tqq3dYT4mbF3/8ph59eEnKRvDmzL7OegJGITU/SgEAwLDWP/lM3MJ2jjNNRYsW6NaiBSr9TLGKigoTJgy4ZvUqrX/yGesZMVX99WdUs3OX9YykU9ewV3UNe61njMqhX79kcgfM57duJ65mpL5hb9ze9kOfCxwnR2UlS1RaUqxbixbE5ezxqqpcwcdogmttPaLyLz9kPSOl1NfvNQ8A3vrBA/ejGb32kpWVy60nJMS/dSqWLbWeEHPV69aq/Ev8HQcAAAAA4zHHo3GCKTOnx/W8nuOXQmvnWlov/1ruwvmaOi9f2XM/+G+eN99WSFzBMxfUc6JDnYeP6eIH4b/wRbtno85daBu+nJjGXf0AjF7+7Jl67p/+v1qx7OvWUwAAKW7No49YTwCApHHufKdOuN0KT5igaYODcT//pmBQkogAAgAAAIiKH9TvS5kAoPS71zdvRq71lLjLm+6o9NOp874GAC85cbJTJ052am5BrvWUuOh0g9r/2knd/Zl51lNM3LboRusJGAXuFQgAAEy5breamlvU1NyiLVu3S5KKFi1QWekSPfboKk/HAIeiT8kajgGAeBn6XCBdCg9Kks+Xr7KSJVr54AqVldqGwobj8+WrtGTJ5f0Arq1m525tfOZJ0w2Ok6OKL96XlKFjX0G+eWBRkuob9lhPGFbRogUmceN4S/bYJQAAAADEQ6kHvs6+mtxF89VRv890Q+fhY+o8/LsH6qZPzVT23Hw5C+cre16+chfOV/rUTMOFSCThi72XQpMnOuQePqaeEx0KnrlgPetDphpHLiemTTE9H0DiKvzUHK1/6iFt/MZ3racAAFJU0aIFKioqtJ4BAAnPf+o9fXPr/9C58+6lX8iboRv7Qyrt6op7CHC8EcCLF3t07uzpaM8CAAAAkIDOne9U46sHUioC+JN/3a+qf3u/9Yy4u/9zd1lPAICUtu+V32juV++wnhE3r752UsV3FihjSmrl1RYvvDFlQo/JYoL1AAAAgI9qPXREW7ZuV9Htn9OyL/2p6ur3Wk+6KsfJ4VlpASBG/P4O1dTuVvmXH9Ki2+9VTa13I13V69ZaTwASiut2qbF5v/UMlZf/ofWEmPBCNLXdf0p1DT+znjGsNatXWU+Ii6HYJQAAAABg7LwaKMie672wffhirzoPH1P7v/xYh5/9ZzU/XK39j31Dh5/9Z52q26fOQ8eufRGkjJ7jHTpVt09vbd6h1/7D/6Pmh6t14D8/p3f++26da2n1XPxPknIXzjc9f9IEgpoAxu7hP/uCHviTz1rPAACkqFT5+SwAxNK5853a8Pff+1387wPvTp6kH12Xq/60+D9E8KZgUGVdY3tSyrtK75WTOz3KiwAAAAAkqqZfvGE9Ia6aXj2gQG/QekZcPVB+tz7/OfvHuwBAKjtxslPBvrD1jLgJ9oX1xqF3rWfE1S3zZ+oLn7vJegZGKbUSlQAAIOE0NbeoqblFpSVL9PxzGzXHN9t60oeUli6RNlmvAIDk5vd36LHH12vDps2qfmKtqipXWE/6kLKSYvkK8uU/2WE9BUgY9fV7VVZi+4O7spJiOc40ue7Y7oTqVSsrl1tPUFNzi/WEa7L++IunlSuXq2and0O6AAAAAOB1ty76lPWEq8q4froyrp/uyUjalYJnLih45oLOtbRe/rXseflyFs5X9tz8S//N817MENEVPHNBnYePqedEhy4e71DPiQ6FL/Zazxq1jJm2D0qfmJauCWkTNBgZNN0BIHFVP/WQWl59U789dc56CgAgxVQs40nLAGC8dtc3KhC4ehyiZ+JEHc2cooWB+H+/5aZgUD0TJ+jXU6eO6uUmTZqssnvvV+NLP5Hb6e3vcQIAAADJ6o7FtygrM2PEtw/0BnXuQqf8J9+L+pa2o+06d75TeTNyo37tK2VlZuiOxbeM+PaXXt/TCvT2RXVHoDeoxl8c0P1xDuLlTXdUePPcuJ6ZlZmhO28rVOFNc+J6LgB4xayZ2brlppkjvn2wL6xON6j3znar041+LHb/ayd192fmRf26H7V44Y3KdUb274zOrqBct1cnTnZGfcdbx87qrjsLon7da4nH2/ij5hbkam7BdXE/F+NHABAAACSEpuYWFd3+OVU/sVbV69Zaz7msrKRYpSVLEiJyAgCJbigE2NS8X+ufWOupKGxV5Qpt2LTZegaQMGp27tbGZ5403eA4OSpatCCp/h3nODmeCNvV1Ho7NldWUiyfL3XCAskauwQAAACAeHCcHDnONOsZnyh7br7nA4BX03O8Qz3Hf/eEKulTM5U9N19T5+Urd+F85S0pMlyHaOg8dCn25x4+ps7DxxIy9vdR6VMzPRGrnJCWrsFIv/UMAAlqWk6Wnvm71Xrkwb+1ngIASCEVy5Z6+mtrAEgU/lPDBzYupNs9RPD2iwFJIgIIAAAAJJj7771LhTePPsp27nyn2t5u1+6Gn+vceTdqe1478FbMg3hZWRn62sNfHvXLtR1tV+Mv3lDTqweituX1A23xDwDOyB3T6w8AGLsbbpime8YYgzt9tkev/uqkDhx+N2p7Tpx8X3cr9nG62xbdqLkFuaN6mWBfWG1Hz2rfL45HLX544mSngn1hZUyJ7/dPx/o+R2qaYD0AAABgNDZs2qzKh9Z4Kl7hhcgKAKSSmtrdKv/yQ2r3n7Kecln5sqXWE4CE4rpdamzebz1DVZUrrCdEVYUH/i5q95/yfFRxZeVy6wlxV/Vgcn2sAwAAAEC83LpogfWEYTkL51tPiIrwxV51Hj6mjrp9OvzsP2v/Y99IyLAhLnnruR068J+f0zv/fbfOtbQmRfxPuhTc9IJ0TbGeACDBLblrgR7+sy9azwAApBDuUwMA0REIROcBr7Fy+8WAbr94cdQvNxQBzMrKjsEqAAAAALGQNyNXpZ9erP/y9Uf1+SgG7F4/0Ba1a0Vb4U1z9LWHv6zqv16lvBlOVK7ZdrRdgV5vf60HALA1a2a2HvjiAn35CwuiFrAbCuJ5UcaUdN226Eat+uodKpw/M2rXbTt6NmrXAmKBACAAAEg49Q17texLf+qZCGCyhWMAIBH4/R0qvecBHTx0xHqKJOnWogXyFXjjwX9AothRu9t6gieCedHkhQdOeD3+J6VmwLu83P5jAwAAAAASkeNMs54wrOx5yfk9yeCZC3rruR3WMzAG7f/yY51+yfvfHxoLrwQ3J6TF99moASSnP/+rFZqWk2U9AwCQIiqW3Wc9AQAQJ0QAAQAAgNSSlZmhqj+5P2oRQP+p96JynVgqvGmOqv9qlbIyM6Jyvba326NyHQBAcrtt0Y366gNFUbve6TM9UbtWLOTmZOirDxRpbkFuVK534lRnVK4DxAoBQAAAkJBaDx1R5UOPWc+QJPl8+USfAMCA63Zp5UNr1O4/ZT1FUvKFxIBYq2vYax50dpwclZYsMd0QTV4I29XU7rKeMKyykmL5fDb/dj/YesTsc1ZZSbHnoxUAAAAA4EVFixZYTxhW9tzk/flU5+Fj6jx0zHoGRilZ43+SlOuZAOAk6wkAksC0nCz9+V/9sfUMAEAK4OeUAJB6xhoBzJqaTQQQAAAASFDLy+9W3gxn3NcJ9AZ17nzn+AfFWN6MXC0vvzsq1zry9omoXAcAkPzmFlynuz8zLyrXOn3G9jGdI/XlL35KGVPG/2Sp7Sffj8IaIHYIAAIAgITV1NyiLVu3W8+Q5I3YCgCkIr+/Q489vt56hiSptDR5ImJAPLhulxqb91vPSJp4Z8WypeYPnGj3n1JTs7cf5L2ycrnd2Q+vMf2cVfXgCrOzAQAAACBRFRV5OwCYPjVTGddPt54RM8GzF6wnYBSCZy4oeCZ532fZ/8Ybwc30tMnWEwAkiYf/7Av6vdl51jMAAEkumZ6QDwAwckQAAQAAgNSSlZmh5cvuicq1/Kfei8p1Yu3znyuOSvQwEYKHAADvuOvOgqgE8U6f7YnCmtjLzclQ8Z0F475OpxuMwhogdggAAgCAhLb+yad18NAR6xlEnwDAkFeCsMRggdHbsvUF6wmqqkyOKFq5B0KGXo//SVLFsvtMzm1s2i+/v0NNzS1yXZtnSSovt/8YAQAAAIBEYx3bHwnnU/OtJ8RM+tRM6wmAJCl7br7Ss7zx8ZiWNtF6AoAksurPvmg9AQCQ5LhfJQCkLiKAAAAAQGq547ZblJWZMe7rXOxNnEBP2V23jfsa/o7ECB4CALwhY0q6Fi+6cdzXcd3eKKyJj9ui8PpKUmdX4vwbA6mHACAAAEh467/+tPUEok8AYGzDps1mQaUhjpMjX0G+6QYg0bQeavPEn93SksR/0IEX/j3qhaDjcCqWLTULN9Q37L38/9c17DHZUFZSnBDhCgAAAADwklsXfcp6wjVlz0ve70lmz03e1y0ZZVw/PWnfZ1Oun2494bKJaemakMZd/gBExwN/8llNy8myngEASGKJ8HU1ACB2br8Y0MJAYNQvRwQQAAAASDxZmRkqvHnOuK9z7nzn+MfEyR233jLuawQCxIgAAKMztyB33NdIpBhebk6GcnPGHxnudBPndUbq4d6AAAAg4TU1t6ixeb/pBp8vn5gGABhy3S5PhKe8EOACEonrdpnF0K6U6H92y0qK5fPZPri63X9KrYfaTDdcS/mypWZn1/3odwHAmtpdZjvWPPqI2dkAAAAAkIgS4Wc/uQvnW0+IifyKu5XhoegaRmbOV79gPSEmvPfnjLv8AYiOaTlZevjPkvPvbgCAvaJFCxLi62oAQGwV91zUTcHRP7iWCCAAAACQeBbcNHfc10ikAKCvYJayMscXJAr0EiMCAIzOrOtT72cvcwquG/c1Ot3eKCwBYoN7AwIAgKSwo3a39QT5CmyjKwCQ6rZs2y7X7TbdYB3gAhKRZQxtSFXlCusJ47Kycrn1BNU37L32jQw5To7Z+/lg6xH5/R2X/3froTazz1elpUtMzgUAAACARFS0aIH1hBHJnpev9KxM6xlRdcO9SzT/39l/vwOjl7ekKCkjgNlzvfW9//S0KdYTACSRP7jrU9YTAABJag73oQEAfKCsq3tcEcBJkybHYBUAAACAaMvMGl8MLxFlReF1TqToIQDAXm7O+D/3BIPhKCyJn1wn9f6NgdRCABAAACSFuoa95tGnWxdxp2gAsOS6XTp46E3TDQQAgdFram4x/3ecz5evokWFphvGo6yk2HqCJ0KOw6lYttTs7B0fedu4bpfqGvaYbCkrKSZcDgAAAAAjlOvkWE8Ysex5yfO13g33LlHh4yutZ2Ac5n7lC0kXAcxdNN96wodM4C5/AKJoyV0LVPipOdYzAABJKFHC+gCA+BhXBPAeIoAAAABAIpg5I9d6QtzlzXCsJwAAUlDGlPRxvXywL7ECgECy496AAAAgKRB9AgBIUn39XtPzufMyMDZeiMdVLLvPesKYlJUUm/879GDrEbUeajPdcC3lhgHAuh99/HNTU3OLwZJLqipXmJ0NAAAAAInEcaZZTxixqXOT42dUxP+SRzJFAHMXeiv+J0kT0sZ3J14A+Kgld/EzTgBA9Di518k39/eVlX2dzp3vtJ4DAPCQsq5uzeoPjfrlnOumEwEEAAAAAAAAPjDeAGCiyc3JGPc1OrtG/+QkQLwQAAQAAEnDOvpkHV4BAFw9shRPuU6O6flAoqpr2GM9QaWlS6wnjIll2G7IDg8EHIfjK8hXhdHbqd1/Sn5/x8d+va5hr1y322ARAUAAAAAAGClfQeL83Cd7XuJs/STE/5JPskQAp3rwz9eENO7yByC6Pvf5/8N6AgAgCTi50/W5z/+RPvf5L+nOJaV6/VC7/v1//Ja+/Z3/TQgQAHDZUtfV9HB41C9HBBAAAAAAAAAAkIy4NyAAAEgajc0tpuc7zjTT8wEAkt/fYRZUkojBAmPV1Nxi+mdXkspKihPqgf1DrMJ2V7KOr15LWWmx2dn1DVd/27hulw4eejPOay7x+fJVWpKYwUsAAAAAiCcngZ7sI3fhfOsJ40L8L3klQwTQm3++JloPAJBkFnxqjvUEAECCy5qarbJ775eTO/1jv9f0i4Pa8PffUyDQZ7AMAOA1kyMRLXu/c1wRQAAAAAAAACCVBftG/721K+U6GVFaAiAaCAACAICk4T/ZYXq+k5M4DwQDgGRmFVQakogBMcALamp3WU/wRExvNIoWLTAPjx5sPSK/3/bf4deysnK52dnDfVzvqN0dxyUfVlZiF0UEAAAAgERh/TX3aGRcP13pWZnWM8aE+F/yS/QIYMbMjwdMrE1I4y5/AKJrWk6W8mfnWc8AACSwO/+gRJMmTf7E3z933tVPXtofx0UAAC8bbwTwzj8oicEqAAAAAON1MRAc9zXyZuSOfwgAAEluvAHAjCnpUVoCIBq4NyAAAEgartsl1+02O3+Ob7bZ2QCA3/F6iArA1dU17LGeoPLyxAoAeiFY+Py2F6wnDMtXkG8Wu2v3n1LrobZP/P26hr1mX7+sWb3K5FwAAAAASCSOk1hP/JS7aL71hFEj/pc6EjUCmD41U9nzvBcDnSDuhAsg+go/Ndd6AgAgQU2aNFl518+65u3a3vbHYQ0AIFEMRQCzBwZG/bK+efOJAAIAAAAedP5857ivkZWZMf4hAAAksdNnxv9YNAKAgLcQAAQAAEnFdbusJwAAjFkHAB1nmun5QKJqam4x//NbVlKcUH+GK5bdZz1Bjc0t1hOGVVZqE/+TpPqGvcP+vut26eChN+O05sMcJ0elJUtMzgYAAACARJFI3yOQJGdhYgUAif+lnkSMAGbP9V78T5LS0iZaTwCQhKblZFpPAAAkqEmTJ4/oduei8ABwAEBymRyJaFmnSwQQAAAASBJHjp4Y9zXmzL72E00AAJDKOruC476G43D/AMBLCAACAICk0n7ylPUEAECKc5wc6wlAwqqp3WU9QVUPrrCeMCK+gnwVFRWabmhs2m8ebbyWlZXLzc6uu0YAUJLq6699m1ipWLbU7GwAAAAAQPRlz/NmqOxqiP+lrkSLACZaWBMAxmPBp+ZaTwAAJAAnZ5oqli3VmtWr9PxzG9W070XV//C71rMAAAkse2CACCAAAACQJPyn3hv3NbIyp0RhCQAAyeuto+fGfY1ZM7OjsARAtKRbDwAAAEgWPl/iPLAKAJKZ/6S3Y1QAPllj835Va63phvLypdqybbvphpHwQrxtx077YONwfAX5KispNjm73X9KTc0t17xdzc7d2vjMk3FY9HFVlSu0/slnTM4GAAAAgEQwp2C29YRRyZ6bGD+nIv6HuV+5FABs//6PjZdcW65HA4AT07jLH4Dom5aTZT0BAOBBTs40VZTfp9KSJSotXXLVr5XPnXcNlgEAkslQBLAh11HPxImjelnfvPkKBHp05PCBGK0DAAAAMBKvHXhL5853jusaWZkZ8hXMis4gAACSUKfbqxOn3h/3dWZdPy0KazCczq7guK+Rm5MRhSVIBNwbEAAAAAAAAJ7Q1Nyixub9ZtE2Sbp10QI5zjS5brfZhpEoL7cPADaOIHBnqazU7uNoJPE/SXLdLrOPecfJUWnJkhFvBQAAAAB4W/rUTGVcP13BMxesp3wi4n8YkigRwOx/kxhhTQAAACDaykqKtX7d47p10afkODwIDAAQe+OJABYuvE2SiAACAAAAhnb8z5+M+xq+2TdEYQmG03a0XavWfGPc1ym8aY5KP32byu5aHIVVAICReuPwaXW64w/Lzbo+OwprMJxv/tMr475GxpR03bbwRt1dMk8ZU0jEJbMJ1gMAAACShd/fYT0BACDJV8AD8oBE1tRkGyNznBxVfPE+0w3X4ivIN40kSlJj037P//t3zaOPmJ1dU7trxLetr98bwyXDq1hmH5IEAAAAAESP86n51hM+EfE/fNTcr3xBc776BesZnyh7br7SszKtZwAAAABx4+RMU/W6tTr5m9dU/8PvqqykmPgfACCuhiKA2QMDo37ZwoW3acFCwhMAAACAhR/U79O5853jvs4diwvHPwZx0Xa0Xf/tOy/qJ/+633oKAKSM02e6te+V4+O+ztyCXGJyCSLYF9arr5/U9p2vW09BjBEABAAASSU3x7GeAAAAgHGo2TnycFqslJYusZ4wrLJS2/ifJO3wwPtpOL6CfBUV2dwBoN1/Sk3NIw9Z1uzcHcM1w6uqXGF2NgAAAAB4nc+XeE80kj3Pm5uJ/+GTzP3KF5Rfcbf1jKuacv106wnDmpDGHXEBRFco1G89AQBgZCj8d+iNn6v6ibVE/wAApogAAgAAAInlB/X7tLt+X1SudefiW6JyHcTPjv/5k6jEHwEAw2s7dlbbv//rqFxr8cIbo3IdxM/psz1RiT/CuwgAAgCApJKID8YCAESX9ecCv7/D9Hwg0fn9HWpstn0WsIplSz39oIaVlcutJ6iuYa/1hGFVLFtqdvZo4n+S5LpdZh/zjpOj0hJvBy8BAAAAACOXu3C+9YSruniiQ+FAr/UMeFDwzAWdb2m1nnFVXv3zBACxEg6FrScAAAyUlRSred8PCf8BADxlKAI4ORIZ9csSAQQAAADi48jRE9rw99ujFv/zzb5BeTNyo3ItxNdP/tX28T8AkMxOnHxf3/9Bq77/g1YF+6LzM/25vuuich3E16uvnbSegBjiqYABAEDScJwc0zuhtftPmZ0NAPgd6wAggPGrr9+rspJis/MdJ0dFixaMOuQWD76CfNO3jSTVNeyR63abbriWNasfMTu7pnbXqF/G8mO+qnKFJz/WAQAAAACjlz0vX+lZmZ6L7fUc79CBp57T4m88rvSsTOs58IjgmQs68J+fU/DMBespV5U9l581AEgtXW6n9QQAQBw5OdNUvf4vtObRVdZTAAC4quyBAX3x/U796Lpc9aeljeplCxfeJkk6cvhADJYBAAAAyeO1A206e6FzRLcN9AYVCAR17nynXj/4lgKBYFS33H/vXVG9HuKn6dUDqvq391vPAADPeu+9bv38leMjvn1fX1idblAnTr4ftejfkMULb1RuTkZUr4n4CPaFdfpMj2Zdn209BTFAABAAACSNWxctsJ4AAPCAWxd9yvR8/8kO0/OBZFCzc7c2PvOk6YaKZUs9GUUrK7WN/0lSfcNe6wnDKlq0wCwG2+4/NaaPG8uP+YplS7Xemeb5qCMAAAAAYGSy5+Wr8/Ax6xkfQwQQV/J6/E+SchfNt54AAHEVDEb3gXoAAO/yFeSr4Yff4wk2AQCeNyMcJgIIAAAAxNBPX9pvPUGSlDfdUemnF1vPwBgFei+FIfNm5FpPAQBPOn22R6fP9ljPkCTdUzLPegLG4fSZbgKASWqC9QAAAIBoKVpUaHo+wScAsOcryJfjTDM733W7zM4Gkonrdqmx2faHyVWVK0zP/yTly5aanu+6XarzeADQ8n031mik5ce84+SoiJg6AAAAACSNqXO9G3AYigCGA73WU2AoIeJ/C4n/AUg93fycEwBSQsWypWre90PifwCAhDEUAZwciYz6ZQsX3qY5c/k+DwAAAOB1y8vvsZ4AAEDSW7zwRuXmZFjPwDh0dvHEjsmKACAAAEgapaXFpuf7/QQAAcBamfHngoOtR0zPB5JJfb1tZM5xclRassR0w0c5To4qjAOAdQ175brdphuuxfJtVFO7a8wv29Q0tnhgNFSvW2t2NgAAAAAgurLneTviQAQwtSVC/E+Spnr8zxEARNv5c2c1YcJE6xkAgBirqlyhHd/dYvrEmgAAjMVQBHAs7lhSQgQQAAAA8LC86Y5KP73YegYAAEkt18nQPSXzrGdgnAg4Ji8CgAAAICk4To7KSmyjT62H3jQ9HwAglRuHsdyuLtPzgWRSs3O39QTz2N5HlXkgSFjfsMd6wrDKSorl89k8QNt1u9TUPPaIX83OsccDx+vWRQt4oA8AAAAAJInchd5/MCsRwNSUKPE/KTH+HAFANJ09/Z71BABAjFWvW6vnn9toPQMAgDGbEQ6rrGtsT1pKBBAAAADwpqzMKar+61XWMzBOWZkZypuRaz0DADCMuz89j3hcEsh1Mq0nIEYIAAIAgKRQsWypebCi0x3bnQoAANHhK8g3j3W1traZng8kE9ftUmPzftMNVZUrTM//KPPIqduluoafmW64lpWVy83OrmvYO66X9/s7zD7mHSdHFV+8z+RsAAAAAEB0ZVw/XelZ3r+jFxHA1JJI8T9Jypg53XoCAMTV2TMEAAEgmVVVrlD1E2utZwAAMG43BYNEAAEAAIAk8rWHHiAclwTuWHyL9QQAwDDu+cw83bboRusZGKdcJ0NzC3KtZyBGCAACAICk4IU7qLUeOmI9AQBSWtVK+1BX66E3rScASaW+fnxBtfFynByVliwx3XClimW2gbbxBu7ioayk2Ozs+oY9475GU1NLFJaMzcqVdvFEAAAAAEB05S5KjAeyEgFMDYkW/0ufmqnsefnWMwAgbly3U33BPg1GBq2nAABioGjRAj3/3EbrGQAARM14IoBFt/+BnFye+AEAAADwggfK79YdtxGOSwb3f+4u6wkAgE9w150Fuvsz86xnIApuW0jEMZkRAAQAAAmvqnKFfD7bB2EcbD0i1x3bnQkAAOPnK8hX1YP2AcB2f4f1BCCp1Ozcbf5vLMug3JXKSorlONNMN9TU7jI9/1rKSorNvi5w3S7VNfxs3Nep2Wn3NvbCxxgAAAAAeIk/gb/X5yxMjACgRAQw2SVa/E+SsucmRvxvMBK2ngAgSfh/847S0iYoQgAQAJKOryBftd/dYj0DAICoG2sEcNKkySq7934igAAAAICxrz30JS0vv9t6BqLggfK75Zt9g/UMAMBV3POZebr/3pusZyAKbpk/k5Bjkku3HgAAADAeTs40VT+x1nqGWg8dsZ4QE+Xlf2geV7Rw8NAR1TfstZ4BYBSq1601//vKdbvUeqjNdANGz+fL98S/JSxs2LTZesI1uW6XDh560zTCV1W5whNvq5WVy03Pb/efUlNzi+mGa7F8G9VF6d+Ofn+H/P4Os89pVQ+u0JZt203OBgAAAABET/a8xPrZzlAEcPE3Hld6Vqb1HERJIsb/pMQKaALAeAUCF9X5fqckEQAEgCRU+90t5velAQAgVm4KBtUzcYJ+PXXqqF5uKALY+NJP5HYm1vetAAAAgESXN93R11Y9oMKb5lhPwTjlzcjV/fcW6/Ofs3usDwDg6jKmpOvuz8zTXXcWWE/BOOXmZGjxoht1D/G/pEcAEAAAJLTq9X/hiTupNTXvt54QExXL7lPFsvusZ8RdTe0uAoBAAqmqXKGqyhXWM9SYpJ8Lkt0c32xVryMA6GU7anebBgB9vnz5CvLlP9lhtkGS6dtAkufjf5Lt26i+YU/UrlVTu8vs76Xy8qUEAAEAAAAgCWTPtf/Z2WgRAUwuiRr/kxIvoAkA43Hh3Dn194UkSYODYeM1AIBoql63VkVFC6xnAAAQU7dfDEgSEUAAAAAgAXz+3mItL79bWVkZ1lNSWuFNc/S1h788rmtkZWbwfgQAj5pTcJ0e+OIC5ebw97S1//wfPmc9AQmEACAAAEhY1evWas2jq6xnSJIaEyCIAgDJyFeQr+onvBFvIxwKxEZdw15tdLvlONPMNlRVrjANJpaVFJtHr2tqd5mefy3Wb6Nofj3Q2Lxf1bL53FZWUizHmSbX7TY5HwAAAAC8JJG/NkqfmqmM66cnXHyNCGBySOT4nyTlLppvPeGaBiJEugCMXyBwUcePHZMkDQzw9woAJBMv3ZcGAIBYG08E8K6Se9X40k8UCPTEYhoAAAAASYU3z9Hy8ntUeNMc6yn4QN6MXOsJAIAom1Nwne75zFzNLbjOegqAMZhgPQAAAGAsqipXeOZOagdbj8jv77CeAQApx1eQr4Yffs88ijWEGCwQG67bpbqGPaYbSkuXmJ6/snK56fnt/lNq8vjfcZZvo7qGPVGNQjQ1t5h+fVH14AqzswEAAADASzq7XOsJ4+J8KjYRsxvuXaKMmdNjcm3pdxHAcKA3ZmcgduIR/8uYOV35FXfH7NrEJwGkig5/u/r7QpKkwUECgACQTDY+86T1BAAA4ur2iwHdfvHiqF8ua2q2yu69X5MmTY7BKgAAACB1ZWVO0efvLVb1X69S9V+tIv4HAEAMZExJV/GdBVr11dv1yFdvJ/4HJLB06wEAAACjVb1urWfif5LU1LzfegIApJyykmLt+O4WOc406ymSiMECsVZTu0tVlXZRsrKSYjnOtKhG3kZ7viWvx/8kqWLZfWZn1zfsjfo16xr2as3qVVG/7kiUly/Vlm3bTc4GAAAAAC/x+zukEusVY5c9L1/v/Ty617zh3iUqfHzlpcjbU88peDY2kbehCODibzxOjC2BxCv+t/gbjyvj+ulKn5qp9u//OKrXnzrPG084dC2DkZD1BAAJLhC4qN8cPab09EuRi4EB/l4BgGRRVblCFcuWWs8AACDubr8YkCT9eurUUb1c1tRs+eb9vt55+0gsZgEAAAApIStzinwFs+TLn6U7bysk+AcAQAxkTEnXDddP06zrs1U4P4/gH5BECAACAICE4SvI1/Pf2mgeQPmomtpd1hMAIGU4OdNUvf4vtOZRmyjSJ4lF/AnA77QeapPrdptGP6seXGESRStatEA+n+0Dj7dsfcH0/GupWLbU9GOjLiYBwD1mAUDr4CUAAAAAIDpyF86P6vWG4n+SlHH9pQgbEUAMiXf8T5LmfuULkhTVCGC0/9wAgFe989Zbl+N/kcigIpEB40UAgGjx0hMrAwAQb2ONAOY602MxBwAAAPC8OxbfoqzMjFG9TFZmhrKyMpQ3I1dTMzPkm32D8mbkxmYgAABJYNbMbN1y08xRv1zGlHRlTElXrpOhXCdTuTmj+5wNIHEQAAQAAJ7n5EzTmsce0ZpHHzENe1xNu/+UWg+1Wc8AgJRQVblC1U+sNQ9hXU3NTmKwQCy5bpdqaneZBdEkqbx8qUkAsKpyRdzPvFIi/Hu3fNlSs7PrGvbEJJTX1NxiGr1c8+gj2rBps8nZAAAAAOAVfn+H9YRxyZ6Xr/SsTIUDveO+1pXxvyFEADHEIv43JNoRwOy53vv5w9UMRMLWEwAksJP+43rv3dNKS5sgSQqFgsaLAADRUlW5wpP3qQEAIJ7GEgFMnzw5VnMAAAAAT7v/3rtUePMc6xkAACS1G26Ypns+M896BgAPm2A9AAAA4JOUlRRr49Nf16E3fq7qJ9Z6Lv4nSRuJYgBATM0pmK3qdWt18jev6fnnNnryjsqNTfsT/sHAQCKoa9hjen5ZSbHJv0fLSorjfuaV6hv2mp5/LY6TYxpJjOXbp6bWLi5bWrrE7GwAAAAA8ArX7bKeMG7Z88b//dSrxf+GDEUAM2ZOv+rvR8NQBDAaIUNEn2X8b8jcr3xBc776haiclbtoflSuE3sD1gMAJKhA4KKOHz12Of4XiUQ0OEhUFACSRfUTa60nAADgCbdfDOim4Mhj57+X79OcuYnyfSEAAAAAAAAAQDJJtx4AAAAwZE7BbJWWLlHRokJVVf6xJ4N/V3LdLjU2t1jPAICk4uRMU1lpsUpLlqioaIF5+Gokduy0CzQBqaSpuUWu2236b8SqB1doy7btcTvPV5CvoqLCuJ13NZYRupGoWLbU9PxYfj1Q17BHa1avitn1h1NWUixfQb78JwncAgAAAEhdble39YRxmzo3X52Hj4355YeL/w0ZigAeeOo5Bc/GJgI3FAFc/I3HlZ6VGZMzMHpeiP8NmfuVSwHA9u//eMxnZc/13hMQfZLByKD1BAAJ6pfNjQpf0fsbHAwpwt8pAJAUKpYt9eSTagIAYKXsg+/vHs3IGNHt71hSIklqPzH276cCAAAAAAAAADBaBAABAMDH3Fq0QHN8s2Ny7aE7mTnONPkK8uU4OSoqWqA5BbM9H/z7qLqGvfL7CWIASE4+X37M4ntXfi5wcnLk8+XLcaZd/nyQSNr9p1RTu9t6BpAyamp3mQXRJKm8fGlcA4DWcbuDrUfUeqjNdMO1lBu+jRqb9sf06wHr6GVV5Qpt2LTZ5GwAAAAA8IJk+BlQ9ryxxx9GEv8bQgQw9Xgp/jdkvBFAZ9H8Mb2chcFI+No3AoCPONr2pkKhQaWlTbj8a6FQ0HARACCaHjP8OToAAF5FBBAAAAAAAABIfJ1d479vQ27OyL5HCFggAAgAAD5mx3e3WE9ICMQwACSzqsoVqqpcYT3D8zbyuQCIq7qGPaYBwFsXLZDjTJPrdsflvPJy2wDgjtpdpudfi68g3zSSuGNn7N8+ltFLAoAAAAAAUl37yVPWE8Ytd+HYgmajif8NIQKYOrwY/xsynghg9tyxBzPjbUAEAAGMzvF3jqr9Nyc+Fv+LRAYNVwEAosVXELsn+QQAINGNJQJ48WKPzp09HctZAAAAAJJEoLfPegIAAAAS3IRr3wQAAAAftWXrC/L7O6xnAAAMtftPqaZ2t/UMIKU0NbfELb53NY6To4ov3heXs7zwII26H+01Pf9aykpt3z6NzS0xP6OuYU/Mz/gkPl++SkuWmJ0PAAAAANYsvwcRLRnXTx91KG8s8b8rz1v8jceVMXN00bbRGIoAhgO9MTsDn8zL8b8hc7/yBc356hdG/XKJFACMaMB6AoAEcv7sGR09cuRD8b9IZFDhcNBwFQAgmiyfNA0AgERQ3N2j6eGRP6HCXaX3ysmN3fc4AQAAACSPc+c6x32NvBm5474GAADJ7L0zPeO+RsaU9CgsAWKDACAAAMAotftPacu27dYzAADGNm7abD0BSEk1tbtMzy8tjU8QzTpud7D1iOeD1ysrl5ud3di0Py5vH+vopXWEEgAAAAAsuW5XUkQAcxfNH/FtxxP/G0IEMHklQvxvyGgjgOlTM5U9L3ECgIORkT9gHUBq6+p8X2+89ktNnDj5Q78eChH/A4BkUlX5x9YTAADwtMmRiJa93zniCOCkSZNVdu/9RAABAAAADMt/8rQCvfzMBQCAWOvsGv/9BDMyJkVhCRAbBAABAABGaeOmzZ6PoQAAYqumdpdqandbzwBSUl3DHtPzK5YtleNMi/k5lnE7SXp+2wum51+LryDfNE63Y2f8QpSW0cs1q1eZnQ0AAAAAXpAMPw9yFo4sABiN+N8QIoDJJ5Hif0NGEwHMnps48b+IBjUYGbSeASABBAIX9cZrv5IiEz/06wMD/RoY6DdaBQCINl9BvoqKCq1nAADgeWONAE6aNPnaNwYAAACQkto73hv3NXyzb4jCEgAAklen26vTZ3rGfZ2MKelRWAPEBgFAAACAUWhs2k/wCQBSXLv/lDZs2mw9A0hZTc0tpg++d5wcFS1aENMzrON2ktTY3GJ6/rWUlabO28cyeuk4OSotWWJ2PgAAAABYO3joTesJ45Y979phs2jG/4YQAUweiRj/GzLSCODUEfw58YrwYJ/1BAAJIBC4qF/94hWF+gc+9OuRyKBCIT5vAkAysf65KQAAiWQsEcDfvzm29xMDAAAAkLh++tL+cV8jKzMjCksAAEhe+18/FZXrzLo+OyrXAWKBACAAAMAItftP6bG1661nAACMbdy02TQ+BkCqqd1len7FsqUxvb71gzQam/Z7/u+5lZXLzc6O99un9VCbXLc7bud9VKw/3gEAAADAyyy/HouW3IXzlbtw/if+fizif0OIACa+RI7/DblWBDBj5nTNLr87JmfHQkSD1hMAeFxX5/tXjf9JUl9fjyKRiMEqAECsWP7cFACARDQ5EtFSt0vZAx//mulqnNzYfW8TAAAAQOJqfPWA/CdPj/s6vtmzorAGAIDk1On2qu3Y2XFfh/gfvI4AIAAAwAgRfAIAbNn6gmpqd1vPAFJeY/P4nyltPKoqV8T0+uXGwbUdO20Di9fiK8hXWYldJDHebx/X7VJdw564nnmlWH+8AwAAAICXtR46Yj0hKm55fKXylhR97NfzK+6OWfxvCBHAxJUM8b8hc7/yBf3+v1v+sY/DjJnTtXDd/xnz86MpPNhnPQGAh3V1vq9fvnr1+F8o1KtIhIgoACSbWxd9ynoCAMAjeiZMtJ6QMLIHBrSs0x1xBBAAAAAArnTufKd+UL8vKtdacPPcqFwHAIBk9OKP29TpBsd9nRtmTovCGiB20q0HAAAAJIINz24m+AQAKa7df0rrn3zGegYASU3NLWps3m8WgXOcHJWWLFFTc0tMrl1hHABsjMHrFU2p+Papqd1lFuKL5cc7AAAAAHjdwdbkCABmXH8pctZzvEPBsxcUvtirvCVFSp+aGbfzF3/jcR146jkFz8YmJjcUAVz8jceVnhWf1yuZJVP8b8jsirs1694l6jx8TOGLvcq4frpyF86Py9nRFI70W08A4FEn24/rzYMHlZ4+5WO/FwoFFQ4TEAWAZFNWUizH4QFLAACMxVAEsCHXUc/ET44nvttxMo6rAAAAAHjdufOd2vAP39G5851RuZ5v9g1RuQ4AAMkk2BfW93/QqhMn34/K9eYW5EblOkCsTLAeAAAA4HU1tbu0YdNm6xkAAEPt/lMq//JD1jMAXKGpyTZGFqsInXncrmm//P4O0w3XUlX5x2ZnH2w9YvL2aT3UJtftjvu5Q6w/LgEAAADAiv+kt79GHq3sefnKW1KkWfcuiVv8b8hQBDBjZuxib0MRwHCgN2ZnpIJkjP8NSZ+aefnPQCLG/yQpokHrCQA86O22w2o7dPiq8b9wuF/hcNBgFQAg1ooWFVpPAADEUd6M3GF/v3siDxEcraEIYPbAwNVvkBaR/8Sx+I4CAAAA4EmBQFC76/fpP234p6jG/671tR4AAKkk2BfWvleO65v/9ErU4n+SNNd3XdSuBcRCuvUAAAAALzvYekSPPb7eegYAwNBQ/M/rQSwg1dTs3KXqdWvNzq+qXKH1Tz4T9euWliyJ+jVHY8fOXabnX4uvIF9FRXYPZNlRa/P2cd0uHTz0pspKik3Oj9XHOwAAAAB4net2yXW75TjTrKckhaEI4IGnnlPwbGzickMRwMXfeFzpWfGNHCaDZI7/JYuBSJ/1BAAeEgqF9GbrGzp7+qwmTPj43YEjkQGFQgGDZQCAeCgttfnZIQDARt50Z9jf759AAHAshiKAjdOm6d3Jky7/+o39IZX+0R8pfUJE/6P2u4YLAQAAAERTIBBU46sHRnbb3qDOneuU/9RptR1tj/qW0rtui/o1AQDwijcOvTviiJ/bFdTp97p1+mxP1HfMLchVbk5G1K8LRBMBQAAAgE9wsPWIyr/8p9YzAACGiP8B3uX3d6ixeb9ZEM1xclRaskRNzS1RvW7Fsvuier3Raozy6xNtVZUrTM+v+9Fes7N31O5Ouo93AAAAAEgElkH2ZEQE0LuI/3lfeLBPg5FB6xkAPCIQuKjXW15VMNCvtLSPhz4ikQH19UX/zvEAAO+YUzDbegIAII6ysqYM+/v9aWnqmThB2QN872C0sgcG9MXOTp1PT1f/hDRlDwxo2sCgIi++qK/82z+RJCKAAAAAQJII9Ab1377zovUMSdKdi2+xngAAQMwcOPyu9QRJ0uKFN1pPAK6Jp/cBAAC4isam/Sr/8p/KdbutpwAAjBD/A7yvvt4uxiYp6g/+r1i2VI4zLarXHI26hj2e/zvPMgB4sPWI6dunrmGv6dcn1vFFAAAAALDS2tpmPSHpDEUAM2bGLgI3FAEMB3pjdkYyIf6XGAYVtp4AwCNOv9uhX7z8c/X1hpSWlvax3x+K/0UiEYN1AIB4KSoqtJ4AAIijmTNyr3mb8+mTYj8kic0Ih3Vjf0jTPogopnV1acr/+J/6yrIv699WPmS8DgAAAEAyKb1rsfJG8HUeAAAYu1wnQ7ctIgAI7yMACAAA8BFbtr6g8i8/RPwPAFIY8T8gMdTs3G16frSDaOXLlkb1eqNV32AbVLyWokUL5PPlm51v/fZx3S4dPPSm2fnWgUoAAAAAsNJ66Ij1hKREBNA7iP8ljvBgn/UEAMZCoZCOtL6h1td/LUUmXvU2AwNh4n8AkMTyZt6gwoWL9bmlX9TuupfV9na79SQAQJzMmOFc8zanJxEAjLYrI4DL/mi59RwAAAAASWJ5+d3WEwAASHp3f3qe9QRgRAgAAgAAXGH915/W+iefsZ4BADBUU7tLpfd8mfgfkABct0uNzfvNzvf58uUriF6QrqykOGrXGos6jwcA16xeZXp+XcMe0/MlaUetXfTScXJUtGiB2fkAAAAAYOVgKwHAWCECaI/4X2IJR/qtJwAw1NX5vl75+c/UcfJdTZiQftXbhMP96u8n/gcAyWjSpMkqu+d+ld37BS1YeJuc6dfrB/WN2vD339O3v/O/FQgQiwaAZLfg5jnXvM359Kt/rYDxGYoA/ruvVOnuP7zPeg4AAACABFd612Llzci1ngEAQFLLdTJ026IbrWcAI0IAEAAAQFK7/5SWfelPtWXbduspAAAjnW6X1n/9aT32+Hq5brf1HAAjVF9vG62rqlwRleuUlRTL54teTHC0amp3ef7vPstAYrv/lFoPtZmdP8Q60li9bq3p+QAAAABgofXQEc9/zZzIiADaIf6XeMIRoi5Aqjradli/aHxZ4bCUlpZ21duEQkGFQoE4LwMAxMudS0qUd/2sq/5e0y8OanfDy3FeBACIt6zMDOXNcIa9zenJk9SfxkMFY2EoAvj4I48SAQQAAAAwZnnTHS0vv9t6BgAASe/+e2+yngCMGE/tAwAAUt6WrS9ow6bNPHjrKjrdLrlul/WMuEvF1xlIdY1N+/XY2vXy+zuspyDOUvVzXTKp2blbG5950uz80tIl0qbxX2dl5fLxX2Qc6hv2mJ5/LdaBxHrj8N4Q1+1SY/N+sxjirYsWyHGm8bUTAAAAgJRz8NCbpmH6ZDcUATzw1HMKno1NjG4oArj4G48rPSszJmckEuJ/iWcgEtZgJGw9A0CcdXW+r4NvvK5goE/p6VM+8XahUK/CYSKhAJCs8mbeoBvzfcPe5qc/a9H99/6B8mbkxmcUAMBE4U1z1HT+4LC3OZo5RQt5IoyYuDICKEn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WnjTYG7a1wmpqqjT9Czp/w1Kdv+5r4Svs+3BwuFwQ8DAKAAEAY1axqkylj9A47BUVK8tUEGelNUA4UCQBAFeWl5Ot0hL26xYXLbKOEHaURAPxifI/7ykuKlT16ketY8Q09kcAAAAAjNWWX71kHQEA4DFDQ0M6fuw97e/ssI4SE06cCKnlxbetYwAAElAoNGgdISpSZzrKvXee/vWHK/Q/K/9R3yzIkz/9ButYAIAxSk6eprm3z1Hxt+7X+n/9/6j6v5fqJ//fR3XwD7t16OAr2rb1SWVlzrWOCQAAAJi58c7P666//0bYSgDPvOftcp5pvhRlPHCfbr33nrCsNxA8rYHg6bCsBQCIY1el6PzMfJ2/9gvhWS8WCvGSM3T++m+HrwRw4GB41gEiZIp1AABAbCktWaqKlZSJeE3dY9XK+fJDChzyaOM2YGSkSKK2bqN1FADwrIqVZapv2CzXTcxfGvnT05SXk20dI+zmZWbIcVIS9usKxKv1j1dT/udBpSXLFDjUy3HHBFSsLFPjtp28rgEAAABgVLo6e7T9/7yqB/72busoAABDodBZHT3co3cP9yrontTQ0JB1pJixY/t+nTwRso4BAIgTqTOdUd821N+v5OQwnawVI/yzb5B/9g1atPBLCoUG1fXHd9T5h4ACve8q0POuQqEB64gAgI+kzpwhf/r1yvjcnI+ev2/81O2W46QoLydbjuOLckoAAADAW0ZK8V77ZeOE1zpz7HgYEkXeLffeo5OHjuhUz+EJr3Xy0BHddGdKGFIBAOLejDzpXJ80GIbzboaOSVNTJ75OJF2VovMzvqZJJ5omvNSkoT6dD0MkIFIoAAQAjFpWZoaqV1dax8AlOI5PTVufUs59D1LyAnwCRRIAcHmO41P16kotX1FuHcVEXm78lf9Jw1/XhX97v+qf3mwdBUCYVKwqi8vC0nhRvbpSe9s71dLaZh0lJjmOT5ueqlXulx+yjgIAAAAgRjyz+SXd81e3KXUWJ9gCQKIYGhpS8NRJHT3Sq3cP9ygUOmsdKSb9/uVDeuXlQ9YxAABxJnWmo77j7hVvF+h5T6kzZ0Q+kEclJyfp7i98Xnd/4fMffywUGlTfiVMKhQY+/hweO37KKCEAJI5ZH22PUmc6Sp3pKPmaa8ZVUtve0RnmZAAAAEDsmZF+s26883Yd3bd/QuucG3xfA8HTmubzfiFext98Wbt/1jDhdWKl9BAA4A3nU+Zr0uCWiS801DfxNaLhms9KSWkTLz2MlceLhEUBIABgVPzpaWp4stY6Bi7D709TxcoylVeusY4CeIrj+LT+8WoVPLjEOgoAeFZxUaHqGzYnZGnR4qJF1hEiZvHiRRQAAnGiuKhQFSvLrGPgCuoeW6v8Bx+mfHyc5mVmqGJlmarW1VhHAQAAABADQqFB/XTDdlX887esowAAIuj4sffkuif17uFeBd2TGhoaso4U006cCGnH9omdfAcAwKUkJ0+TRlEASLHdn0tOTpI/+QbrGACAcXDdoFz3tHUMAAAAwBNuumPiBYCSdOa94zFRADjNl6IZs2/WqZ7DE1rn3OBgmBIBABJCUlp4CvE+iJ3XtMJSevjh4PBjvsr7+xhITJOtAwAAYsP6x6vl96dZx8AVlJYsU27OfOsYgOfk5WSrtGSpdQwA8LSKVYlXLOVPT1NeTrZ1jIjJy8mW4/CiJBDr/Olpql5daR0Do+D3p2n949XWMWJaxaoyXtcAAAAAMGpdnT36TdPvrWMAAMIoeOqkDh74g36/u1nbn/2Vdjf/Vm/ufU3H+96j/C8M/r3hdZ08EbKOAQCIQ/600RXYBQ69G+EkAABEz972TusIAAAAgGfMSL85LMV9Q4PvhyFNdNx45+0TXuPMe8fDkAQAkEjOT/vshNeY9EEwDEmiJClNmpw08XU+pHQX3jXFOgAAwPsqVpXFTTHKKTf48ZXWXPfiHVO/P02O49MMx2eULjzqHlurnPseTNiryY18jSE+D59QvbpSzS171N7RZR0FHtMd6LGOgChobtmjQGCCV7X4hE+WI/v9aZrjnx3WGdGUl5Ot3Jz5amlts44SNXm58bGPeznF3y5U7YaN1jE+1h3o0Xmdt44xapbHB7G2fWLfM3Katj4VN2WeI9/Xn9wmO45PjpMS09vRESPl47V13nnujTWJ/roGAAAAgLFpqG/WLbfeoLkZ6dZRAADjEDx1Un197+nEsfco+YuwHdv36+BbnEQGAIiM1JnOqG7X9cfuCCcBACB62jsoAAQAAAAuNCP9Jh3dN7H3/w4EY+f9w9el3zThNc7FUOEhAMAjrk678m2u5IMYK8ObmioNTvD88A+Cw+sAHkQBIADgsvzpaapYWWYdY8xOuUG1t3eqvaNTezs61dLSJjcYHNXJ446TIn/6bPn9acrLma+szIyYKofx+4e/ZuWVa6yjmKh4dI3qn95sHQMe1fDkeookcJFAoFdZd33VOgaiYFPDlqhtHxwnRVmZGZqXlaGszIyP/zsWVKwqU8GDS6xjRE3pI8usI0RcQcECTxUAFjwUW99fxUWFWv9Ytclstk+Qhp+XP1k4Gwu6Az1qaWlT+75ONbe0yXWDChwa3S9asjIz5DgpmpeVodz/K1tZWXNjrhiQ8vGJSfTXNQAAAACM3Y//f8/qf655WKmzYvtCbwAQ74aGhhQ8dVKue1LvHu5V0D1J4V+UNL94UDu2/8E6BgAgjvnTbxjV7fqOuwqFBpWcnBThRAAARB4FgAAAAMDFUmbN1FHrEFE0zZcy4TViqfAQAOARUya+/dH52CqgPT8lVZMmWgD4YYyVHiKhUAAIALispq1PWUcYtVNuUJsaNquxaafaOzrHXfDluqfV7g6XB25r2ilpuMgnNydbC/MXqCB/gWY43j55pLRkmRqbdqqltc06CuApFEkAiAbXPa2W1raLtsMjxcKLv13o6WLhvJxs5ebMT4h9CH96mrKy5lrHiLi8nGw5Tgrlt0AMirVC/uaWPdr2f3aqvmHzhJ5zRt4c3dLaptq64QLT4WL+4e1orJTqrn98rXK//JB1jJjF6xoAAAAAxiIUGlTV6l+qovJblAACgIeEQmd14th7ct1TOn7sPQXdk9aREtLhXlfPPrPPOgYAIM7NmX3jqG/b/NIbeuCr8yOYBgCA6NjbTgEgAAAAcKGrkhLvog/TfCmU+AEAomty0vCfiRTaxVoZ3uTE28dAYplsHQAA4F0Vq8rk96dZx7ii5pY9yn/wYfk/+1cqr1yjlta2sBecuO5pbWvaqeUrypV111e0fMUqdQd6wjoj3CpWxU5RBBBNpSXLlJvDGwgBRFcg0Kv6hi0qeGiJMu/6iuobNltH+lQL8xdYR4iKRHmcklT87ULrCADGIRYK+U+5QVWtrVH6Z+9RwUNLVFu3MSKFo+0dnaqt26jc+x5Szpcf8vR2dMS8zIyYKnD0orrH1spxwnBlMgAAAAAJoe9YUD/+0VaFzsbYmxMBIE4MDQ3p+LH3dPDAH/T73c3a/uyv9NvfPKvXX9mjtw/8gfI/IydOhFRXu9s6BgAgAaTOdJScPG1Ut331jf0RTgMAQOS5blDtHV3WMQAAAAAAAJCIJl9tnSC6wlEA+OH7E18DiBAKAAEAl+RPT1PpI8usY1zWSPFfwUNL1NLaFrW5rnta9Q1blHXXVz1dBJiXk62CBCq2AcaCIgkAlgKBXi1fUe7ZIsDiosKEeI4sLVlmHSFqCgrYJwRiTXFRoacL+UeK/7Lu+oqq1tVEpPTv07R3dHp6O3qh0pKl8qd79+vodX5/GiWKAAAAAMYk0H1MVat/SQkgAETYhWV/r/9+j377m2e1/dlfaXfzb/Xm3td09EivhoaGrGMmvBMnQtpQu1sD/XwtAADRcfe820d1u8ChdxUKcdwGAIhtza17rCMAAAAAAAAAiSEchYcf8rspeBcFgACAS6pYVebZ4pfuQI9J8d+ljBQBVq2tMc3xadaurrSOAHgSRRIAvGCkCLC8cnVUi5OuxHF8Wvi391vHiKiszAxPF2uFW15Otmf37QH8OX+6t/dVrYr/PsnrhbrS8DZ1/ePV1jFiWmnJMi5uAAAAAGBMKAEEgPAaGhrSu4d7P7XsryfwtkKhs9Yx8Qkj5X8nT4SsowAAEsjc2+eM6nah/gE1v/RGhNMAABBZ25p2WkcAAAAAAAAAxmdyknUCABegABAA8GfmZWaouKjQOsYl1dY9odz7HjIv/vukqnU1yrzrK+oO9FhHuYjfn+bZryVgrbRkmXJz5lvHAADV1m1Uzn0Pemo/YvHiRdYRIioR949KH1lmHQHAKFWsKvNkSene9k7l3PeQefHfJ40UAS5fscpT29IReTnZHHdMUN1j1RTZAgAAABgTSgABYOyGhoYUPHVSPd1va9/e1/T73c3a/uyvtP3ZX+nll5op+4shh3tdyv8AACbu+cvbR33bV9/YH8EkAABEXrPHzmcBAAAA4sWUpKutIwAA4H3nJnhe1yS2t4CXUAAIAPgztY9XW0f4M92BHuU/+LDKK9d4qmjgQoFAr3Lv+6Zq6zZaR7nI4qL4LvABJqLusbUUSQDwhECgVwUPLfFMcdG8zIy4fn5cmL/AOkLU5eZSPgXEAn+6N0vca+ueUMFDD6u9vdM6yqeqb9iigoeWaG+H9zJWrCqzjhDTHMen9Y9577UqAAAAAN4W6D6mf6l8Sn3HgtZRAMBTLlX099vfPKvtz/5KL/52u15/ZY/ePvAHHT3Sq6GhIeu4GKODB/pUR/kfAMBI8jXTNPf2OaO6bdf+bnXt745wIgAAIqO5ZY8CgV7rGAAAAIDnDAQnfu73lKSkMCQBACCOfRiGi+Je5Zv4GgDChgJAAMBFiosKNS8zwzrGRfa2d6rgoSVqiYGrpLluUOWVq1W1tsY6ysfycrKVm0PhC3Apfn8aRRIAPGOkBNALZceO41OWx/YJwyUvJ1t+f5rJ7O5Aj1nJY15OtvzpNo8bwOh5sSiu/NHVni7jv1Ag0KvcLz/kuWL+vJxsFSRg+Ww4Lcy/X6UlS61jAAAAAIgxfceCqlr9S0oAASSkUOjsqIv+QqGz1nERBr9/+ZDqandroJ/iRgCAnXu+cPuob7tlW3MEkwAAEDmbnt5sHQEAAADwpDPHjk94jWuc6WFIAgBAHBvqm/AS56+icBfwEgoAAQAXqVjprbKB+obNKnjo4Zi7QlrVuhpPlQB6sUQC8IqF+feruGiRdQwAkDRcXLSq8ofWMSRJC+O0qGix4XP+4iWlWr6i3Gx+cVGh2WwAV+ZPT/PUz+kpN6jFS0pVu8FbZXqj4bVifklau7rSOkLMq1hZRpktAAAAgDHrOxbUvzz6lF79/QHrKAAQcUcP9+rF57dr+7O/0m9/8yxFfwlkx/b9+veG161jAACg3Hvnjfq2Xfu71bW/O4JpAACIjObWNusIAAAAgCedeW/iBYDTZ80MQxIAAOJYGAoANSV14msACBsKAAEAHysuKpTf750TqesbNmv5inK57mnrKOPipRLAvJxsOU6KdQzAs6pXV1IkAcAzNjVsUXPrHusYysrKsI4QEXk52SZzuwM9au/oUktrm9n+rZeKxQD8OS8Vt59ygyp4aIkam3ZaRxk3Lx2TS5Lf762Cx1jkOD6tf7zaOgYAAACAGBQKDerHP3pWW3612zoKAERU0D2poHtSQ0ND1lEQJf39Q3rif72sHdv/YB0FAABJUvI10zT39jmjvv2Wbc0RTAMAQPjVN2xWINBrHQMAAADwnFOHDmsgOLFzZaYkXa0pSUlhSgQAQHyadOb1iS9yNQWAgJdMsQ4AAPCOxUWLrCN8rLFpp5avKLeOMWFV62o8c5J/6SPLVLXOO+UHgJeMFEkUPLjEOgoASJKWryhXx2svmGaYlxl/BYB5OdlmhdfbLijRqm/YrNKSpVHP4PenKTdnvlq4AjHgOf50bxw3jqh4dI3a2zutY0zYyDGwV8oVFxctUn3DZusYMS0vJ1ulJUtVW7fROgoAAACAGPTM5pfU1xdU8cP3KflaThoAAMS2EydC2lC7WydPhKyjAABwkUUFeara3z2q23bt79b2376sB776xQinAgAgPHjfBwAAAHBpR97cP+E1ps+aGYYkuJxTh46oc/uuCa8zY/bNuunO2yceCAAwNqFO6YOJFe5KkqbOmvgauKxJJ3de+UZXMjlJ56/9S2lKysTXgqdRAAgAkDR8AnVeTrZ1DElSd6BHy1esso4RNuWVa5SbM19z/LNNc+TmzpfWmUYAPI0iCQBeEgj0qr5hs2kZlOP4lJU5V+0dXWYZws2y8PrCN/41Nu0wKQCUhrd3FAAC3uOVgjpJqlpbo/qn4+fNyl4q5s/LyaaINQwqVpapcdtOBQ71WkcBAAAAEINaXnxTXZ09qqj8llJn+azjAAAwLs0vHtSO7fs10D9kHQUAgD8z9/Y5mnv7HHWNsgTwmcYXlffX85ScTFE7AMDbugM9vOcDAAAAuIQj+/br6L6JFwCm3nbLxMPgsgaCp3V038SLo47u2693dr+iu761UNMcSokAICo+HNSkYBhem5rik67iuTviQuE5L3vSmTd0fkaedO0XwrIevGmydQAAgDdYlqFcqDvQo4KHlsh1w9A87RGuG9TyFeXWMZSXky1/epp1DMDTKlaW8XMCwDO8cKXYeZl3WEcIK6vC6+5Az0VFii2tbWb7u1bFgwAuzyuF/LV1T6hqXY11jLArr1yj7kCPdQxJ3ip7jFWO49P6x6utYwAAAACIYX3HgvrB936uLb/abR0FAIAx6e8f0v9ueF3PPrOP8j8AgKc98NUvjvq2of4B/XjDLyOYBgCA8KiOw/fUAAAAABN15r3jOrArPL97vy79prCsg+gYCJ5W5/Zd1jEAIDF8OKhJfVukDyZ+Tur5q28OQyBE06RTzdJgr3UMRBAFgAAA+dPTVFxUaB1DklRRuUaBQPztfLS0tqm2bqN1DC3MX2AdAfA0iiQAeElLa5v5fpHfHz+lqHk52WaP51JX/bUqeHQcn3Jz5pvMBnBpxUWFnni+7Q70qLxyjXWMiHDdoGcuNpCXky2HqxxOWF5OtipWUqYIAAAAYGKe2fySqn74S/UdC1pHAQDgig4e6NO//euLeuXlQ9ZRAAC4oru/8Hn5028Y9e279ndr+29fjmAiAAAmpjvQo/qGLdYxAAAAAM84Nziot3e/opef+pXODQ5OeL1pvumaPis1DMkQTad6jujYgXesYwBAfBvs1aT3npaG+sKzXnJGeNZBVE06/efnKCN+UAAIAFBebrZ1BElSbd0TamzaaR0jYqrW1ZiXDRQUUAAIXEleTrZKS5ZaxwAASTLfN/JCIVW4LC5aZDb7UmV/jU07DJIMoxQa8BbL56cLFTy0xDpCRAUCvapa9xPrGJKk0keWWUeICxWrypSVOdc6BgAAAIAY19XZo6rVv1TLi/usowAAcEn9/UPa+kyH6mp36+SJkHUcAABGrfjv7h/T7Tf98jl17e+OUBoAACamel2NdQQAAAAg7PrdMxoInh71n9PvHdeRffv1x13/qd0/e1rv7H4lbFluvfeesK2F6Dr65h+sIwCAp006/7507vTY/gwclM68oUl9WzSpb4v0QZg6Sqb4pKT4OWc4oQz2hu/7AJ4zxToAAMBexcoy6wjqDvSoKs5/Keq6QdXWPaGKVXaf73mZNHIDo1G9ulLNLXvU3tFlHQVAgmts2mFaSupPj58X8xbmj+2N5eHSHehRS+ufX12jpbVNrntajpMS9UzFRYUqr1wT9bkA/pw/PU15Ofal/FVraxQI9FrHiLjauo0qyF9g/jkvLVka96+BREvDk+uVc9+D5hdcAAAAABDb+o4F9dMNz6n5xTf1nUceUOosn3UkAAAkSQcP9Ol/P/0GxX8AgJg09/Y5mnv7nDGV+v30F8+q4vsPK3XmjMgFAwBgjOobNqu+YYt1DAAAACDsurbvso4gSZrmm64Z6Tdbx8A4nTp0xDoCAHhb/0FN6j9onUKSdD7li9YRMBGDPVIyfTHxaLJ1AACArbycbPn99sUu1etqEuJk7doNG00fp+P4lJsz32w+EEvWP77WOgIAmBeRzvHPNp0fLgvzF5gU7Um6ZPnfiPqGzVFM8ifsEwLeYVkQPyIRCvkvVLXW/rHyPBw+fn+aJy5sAQAAACA+dHX26Aff+7m2/Gq3dRQAQILr7x/S1mc6VFe7m/I/AEBMK/7W2C7W2HfcVdWPnlLf8VORCQQAwDgk0vtqAAAAAAs33vl5TfPZnPODiTs3+L51BADAaEzxUR4X6z5kmxuvKAAEgAS3uGiRdYSEuiKa6wZVW/eEaYZ5meyYA6MxLzND1asftY4BIMG5blCBQK/ZfKvSvHAryF9gNvtyJX+NTTuimORiCw0/JwD+JC8n2zqCqhPsTcotrW1mBawX4nk4fEpLllGoCAAAACCsntn8kn7wvZ/r1d8fsI4CAEhAzS8eVNUPn1fLi29bRwEAYML8s2/QooK8Md2HEkAAgJdUra0xfQ8nAAAAEO+m+abr1nvvsY4BAEDcO5/yResIAD4FBYAAkOC8UDaQaFdEq92w0XR+VhYFgMBoUSQBwAtc97TZbMfxmc0OF8fxqbio0GR2d6BHLa1tn/rv7R1dZl9fq88JgD/JysyQ359mmqE70JMwhfwX8sLrEDwPh1fdY2vjprgYAAAAgDf0HQvqxz96Vj/dsF19x4LWcQAACeDggT7VPf6fevaZfRroH7KOAwBA2Hz9a/PlT79hTPehBBAA4AXNLXs88R4TAAAAIJ5lPPAV6wiYoGm+6dYRAABXcD55rpRMx0jMm8J5U/GKAkAASGB5OdnmZQP1DZsT7oporhtUc+ses/leKH0EYglFEgCs7e1403R+rD8HLsxfYDb7cuV/0vB+YWPTjiiluZjj+Ci5BYxZPj+NqE7QNykHAr2qb9hsmoHn4fDy+9NUsbLMOgYAAACAONTy4pv6wfd+ri2/2k0RIAAgIk6cCOmJ//Wy6mp36+Bbx63jAAAQdsnXTNN3/uEbSk6eNqb7UQIIALDUHejR8rJy6xgAAABAXLvl3ns0I/0m6xiYoBnpN1tHAABczhSf5ORZp0A4TJ1lnQARQgEgACSwAg+UDSTqFdG2bdtpNtu69BGINRRJAEh0js9nHWFCLPd5R1MuZVlAVVxUaDYbgLQw/37T+d2BHtU3bDHNYKl2w0brCBT0h1lpyTJKFQEAAABEzDObX1LV6l+q5cV91lEAAHGiv39IO7b/Qf/2ry/qzY6j1nEAAIgo/+wbtCh/7CeX9R139YN/flzbf/tyBFIBAHBpp9ygCh5aokCg1zoKAAAAELdm352lW++9xzoGwuCmO2+3jgAA+DRTfDqfukianGSdBBN0PnmudFWKdQxEyBTrAAAAO9Ynmje37EnYX4rWP71FjmNXpuM4KXLd02bzgVhTWrJMjU071dLaZh0FADAG/vQ0LTQqAOwO9Ixqu9He0SXXPS3Hif6LbwvzF6ic/ULAhD89TVlZc00zVCdoIf+I9vZONbfuMX1tJDd3vrTObHxcqntsrXLue5BtGwAAAICI6DsW1E83PKctm1/SosK/Vu6X7rSOBACIQf39Q2p58aCaX3xbA/1D1nEAAIiar39tvo6dOKXnxlHmt+mXzynQc1SLCvKUOnNG+MMBAHCB0hXlCXueCwAAABANs+/O0ufuu9c6BsLgxjtv14zZN1vHAABcykj5H6VxsW9ykuSz7QZCZFEACAAJygtlA+s3PGE635LrBlWV4GULQKyhSAIAYk9ert2LWqMtjXXdoPZ2vGlSQOU4PmVlZlBwCxiYl5VhOt91g6pv2GKawQuq1tYob6vdtiIvJ5uC/jDz+9O0/rFqLV7yXesoAAAAAOIYRYAAgPGg+A8AAKn4W19X1x8DChx6d8z3bdm9V137u/XNgi8p7955EUgHAIC0/LvlamzaaR0DAAAAiFu33HuPbr33HusYCIPZd2fp1nvvto4BALiUqak6P7OA8r94MMWn85/J52sZ5ygABIAEZV020B3oUWPT86YZAGAs/P40VawsU3nlGusoAIBRWly0yGz2tqYdo77tpoYtJgWAklSxqkwFDy4xmQ0ksoL8BabzeaPysJbWNrnuaTmO3S9B8nLm8/pImC3Mv1/FRYsouQQAAAAQcRQBAgBGg+I/AAAuVvH9h/Uvq3+mvuPumO/bd9zVz37xrLr+2K1FBXlKnTkj/AEBAAlr+XfLVf/0ZusYAAAAQFya5puujAe+ohnpN1lHSWgz0m/STXd8PizrTPNRRAQAXnQ+Zb7km28dI+Gdv+5rE1/kKp+UlDbxdeB5FAACQIKyLhvYRtkAgBhUWrJMza1tPIcBiCrH8ZnOd4NB0/nj5U9PMyvVc93gmMqcGpt2qtqogGpeZoYcJ0Wuezrqs4FEZvX8NKK+gTcrj6hv2KzSkqVm83NzsikAjIDq1ZVqbmlT4FCvdRQAAAAACYAiQADApVD8BwDApSVfM00V31+iqh89Oa4SQElq2b1XLbv3KvfeeRQBAgAm7JQbVMFDS9Te3mkdBQAAAIg7U5KuVvrdWZp9d6amJCVZx0l403wpuvHO261jAAAi4eo0nf/MAukqClo9ITnDOgFiyGTrAAAAG/My7zCdT9kAgFhV91i1/Om0pQOIHotSuAvFajFcXq5duVbjGItiXTeovR1vRijN5TmOTwv/9n6T2UCichyf/H67/cnuQI9aWtvM5ntNY9MO0/m5xmWQ8cpxfFr/eLV1DAAAAAAJZqQI8Aff+7laXtxnHQcAYKS/f0g7tv9BVT98Xju276f8DwCAS0id6aji+0uUOtOZ0Dotu/fqB//8uKp+9JSad+9VKDQQpoQAgESxt71Tufc9RPkfAAAAEGZTkq7Wrffeo3v/sUi33HsP5X8AAETC5CRp2md1PnWRzs9aRPkfEKOmWAcAAESf4/iUlTXXbH53oEftHV1m8wFgIkaKJAoeXGIdBUCCmJM+22y26wbNZk/U4qJFZrO3jaNMalPDFuUZlUAtXrxI9U9T0A1ES17OfNP5lP9drKW1Ta572qxwd44/TY6TErOFu16Wl5Ot0pKlqq3baB0FAAAAQIIZKQLcsvkl3X3PX+iBv7lbqbN81rEAABF28ECfXn65R/s6jlL6BwDAKIyUAFb96En1HXcntFbX/m517e/WzyTd/YXP6+4v3K6M2/1KnTkjLFkBAPGptu4JlVeusY4BAAAAxI1pvhSl3jZHs/7iVs1Iv8k6DgAA8WlyknR1ms5fc6s07bPD/w8gplEACAAJaF5mhun8bU07TecDwERRJAEgWhzHJ78/zWx+rJYR+dPTzMr0JKmx6flx3Gen1kcgy2jk5WRTPgVEUZb5MfnYS0rjXX3DZpWWLDWZ7Tg++dPT1O5yoYRIqFhZpsZtOxU41GsdBQAAAEAC6jsW1HO/eU3P/eY15X7pDn39gbs155ZZ1rEAAGF28ECfntu+XwffOm4dBQCAmJM609H/rPxH/fQXz+rV1/eHZc1X3/iDXn3jD5Kk5ORp8s++Qf7ZNyh1pqPUz8zQtcmcCAcAseSaa6ZpTvoNYV2zuWWPqtbVcBFNAAAAYIymJF2tKUnDr61Mv36mpiRdrZRZMzXNl6IZ6Td9/G8AAGCCrkoZ/ntykjQ1Vec/+ltXz5ampNhmAxB2FAACQALKypxrOr+RAkAAE9Qd6NGmhi0qLVkmx7E5UKVIAkA0WBc3dwd6TOePV16uZfnf+Iq1XDeo5tY9ZsWFxd8uVO0Gim2BaMjKsn1ub+bNy3+mvaPTdP68zDvU3hGfBYDNrXsUCPSquKjQZL7j+LT+8WoVPLjEZD4AAAAAjGh58U21vPim5mbMVt6X7lDul+60jgQAmID+/iG1vHhQv3+5RydPhKzjAAAQ05KvmaZ/euRbeqbxRW3Z1hzWtUOhAXXt71bX/u6wrgsAiL7ce+ep+O++ruQJFLl2B3pUva5G9Q1bwpgMAAAAiF13/f1CzZh9s3UMAADi2vnkudJ1C6xjAPCwydYBAADRl2tYiCKJK6UBmLBAoFdV62pUte4nZhlGiiQAIJIK8m1f2HODQdP541X6yDKz2dsmUHa9bZtdUXZBAS8iA9EyJ3222ey97Z1y3dNm873K+kIFWVm2F2qIpJaWNi1fUW76Oc7LyVZpyVKz+QAAAABwoa7OHv10w3P6wfd+rp9u2K6+Y7H5GiwAJKqDB/q09Zl9qvrh89qxfT/lfwAAhNE3F35J3/mHbyh1pmMdBQDgQS2796rqR08qFBoc832bW/aoaEmpsu76KuV/AAAAAAAAAABPoQAQABKQ46SYzW5u2WM2G0D8qa3bqOZWu+cViiQARNpC4wLA9vYu0/nj4U9PMy1SmkjBUf3Tdm8uzMvJNj1OABKJ5XNUi+G+s5e5blCBQK/ZfL8/zWx2tCxfUW5aPlm9ulJZmfFbtAgAAAAg9vQdC6rlxTf1g+/9XFU//KVaXtxnHQkA8Cn6+4fU/OJB1T3+n6qr3a2WFw9qoH/IOhYAAHEp9955qvj+Es29fY51FACABwV63tX2F0b33pdTblC1dU8o/8GHVfDQkgld2BcAAAAAAAAAgEihABAAEtC8zDvMZrd3dJrNBhCfrIskKlaWyZ8e/4UdAKIvKzPDvBCoveNN0/njYVma2Ni0Y0LbJNcNmhbbFn+70Gw2kCiyMjNM53NM/uksn38tX6eJFtcNqmjJctMM6x9fazofAAAAAD5NV2ePfrrhOf3gez/XTzdsV/c7x6wjAQAkHTzQp43/62VV/fB5PfvMPh1867h1JAAAEkLqTEcV339Y3/mHbyh1pmMdBwDgMV37A5f8+Ck3qOaWPapaW6P8Bx+W/7N/pfLKNWppbYtyQgAAAAAAAABhdS4MPRKTkya+BhAhU6wDAACiy3F8cpwUs/kthifUA4hPgUCvSlasUsOTtSbzHcenTU/VKvfLD5nMBxC/SkuWWkdQd6DXOsKYlZYsM5sdjqsEb9u2U3k52WFIM3YFBQtUu2GjyWwgUcwxLnbd204B4Kdpb++Uimxm+/1pcpwU02LzaGhpbVNt3UazfZx5mRmqXv2oyivXmMwHAAAAgCvpOxZUy7E31fLim/LPmaUH/uYuzc1IV+osn3U0AEgYh3td7es4quYX39ZA/5B1HAAAElruvfM09/Y52tL4olpe2msdBwDgEYFD76q5ZY8CgV4FDvWq+1CPWlraFDgUe+91BAAAAAAAABAlk6+2TgB8KgoAASDBzMvMMJ0fiyUyALxvW9NO8yKJipVlqlpXYzIfQPzxp6epuKjQOobaO7qsI4xJVmaG/IblWs1huFpw/dNbVL2mMgxpxi4vJzshCqgAS/502wLAWHtejybrN4I7Pl9CPP9WratRQf7XNMc/22R+ackyNTbtVEsYttkAAAAAEEmB7mP66YbnJElzM2Yr70t36O57blPytVyJGADCrb9/SL9/+ZD2tR/VwbeOW8cBAAAXSJ3p6DtLv6FFC79EESAAQJIU6h9QwUNLrGMAAAAAgCRpIBj/7/8GAMDch4PWCYCIogAQABKMZSGKRNkAIq+g4Gvm3+cW9nZ0alvTTusYpqyLJCpWlam5dQ9FEjHGcVJUsbLMOoaJ2g1PJETJTKxa/3i1dQQ1t+yxjjBmlqWJI1cVnijXDaq5dY/ycrLDkGrsSh9ZRqEtEEF+o31VSdrb3mk2Oxbs7bD9/MzLmmteQhgNrhvU8hXlatr6lFmGusfWKue+B9kXBgAAABAzujp71NXZI+k55X7pDt19z1/onr+6zToWAMQ0Sv8AAIgtnywC7Ppjt/qOu9axAAAG3FMnrCMAAAAAgCTpzHt9E15jmi8lDEkAAIhvk85NfJurq3wTXwOIEAoAASDB+NPtitEoG0A0LMy/Xwvz77eOEXX1DZsTvgCQIgmMh+P4VLEqMQsA6xs2873qURWryszK3y7UblyENB4L8xeYzd709OawrbVt206z74Hc3PnSOpPRQEKwLCt33aDZ7FgQCPTKdU/LcWzeROH4HJO5Flpa21Rbt1GlJUtN5vv9aapYWabyyjUm8wEAAABgIlpefFMtL76p5OQk3f1Xf0EZIACMAaV/AIBYFTp7ZlS3S4RCvJEiQElq2b1XzS/tVdf+buNUAIBoOrA/9t7XCAAAACA+nT428YLyab7pYUgCAECcG+y1TgBEFAWAAJBgHMeumZiyAQCRRpEEgFiXlZmhipXeKKVsjLFi2bycbNNirebWtrCt1fh/dqp6TWXY1huLvJxs+dPTFDjEi6JAJFiVy0mxWewaba4bNPsaWW7DLFStq1Fu7nzNy8wwmV9askyNTTvVEsbtNwAAAABEUyg0eFEZ4NyM2brnr/5Cd99zm5KvTbKOBwCeQekfAADxK/feecq9d576jrvq2t+tV/b+QV37AwqFBqyjAQAiJHT2jALvHLCOAQAAAACSpKP79k94jSnTrg5DEgAA4lgoTOfDTU0NzzpABFAACAAJxvKEcsoGAERD1boaFeR/TXP8s03mUyQBYLyyMjPUtPUp6xgfi7XnscVFi8xmN7fsUSAQvsK8QKBXza17lJeTHbY1x6K4qFBV62pMZgPxbk66zT6qpLA+T8WrvR2dZq+bJFoBoOsGtfy75Wr93a/NMtQ9tlY59z0o1z1tlgEAAAAAwiEUGtSrr7ylV195S9JzmpsxW3lfukNzM9KVOsvuAoEAYOXggT699dZxvXXgOKV/AIC4EDp7ZlS3C/S+G+Ek3pQ60/m4DFCSAj3vqu/4KXX+IaBA77sK9Q8ocCgxPzcAEC+Ght7XkZ6A9r7+snUUAAAAAJAkDbindarn8ITXmT6LMiIAAG37ek4AAQAASURBVC5nUjAM5zlPThr+A3gUBYAAkGAcJ8VsNidUA4gG1w1q8ZLvUiQBIKaUlixVxcr/ZrqvdqHGph3WEcbMqixPkjY9vTnsa7a0tFEACMQhy5K3wKEes9mxwnWD1hESSntHp8orV6t6daXJfL8/TdWrK7V8RbnJfAAAAACIlK7OHnV1Dr8O4J8zS3MzZuvue/5CGXekGycDgMjo7x/SkV5XHR3val/7UZ08GbKOBABAWA29//6obtfX50Y4SWzwz75B/tk36O4vfP6ij4dCgwr196vvOJ8nAIgVtRs2asszTQqdPaOhodFtDwEAAAAg0s4NDuq1XzaGZa3r0m8KyzoAAMSjSafbpA/C0NUwhcJdeBsFgACQYGb4HLPZgUCv2WwAicULRRIVK8tUXrnGZD6A2OH4UlRR/t9U+shS6ygX2da00zrCmOTlZJuWajW3huEqIp9Q//RmVawqC/u6o+H3pyk3Z75aIvC4ANg5RTn1FVm+buFPt9uOWaqt26iC/AWmpbeNTTtjbt8HAAAAAEYr0H1Mge5jeu43ryl1lu/jMsA5c65X6iyfdTwAGLeTJ0Lq6Diqfe1HdfhwUAP9Q9aRAACIGNc9OarbhfoHFAoNKjk5KcKJYlNycpKSk5OUOnOGdRQAwCj1vXdE7qkT1jEAAAAA4GPnBgf1x10vaSAYnvfmT581MyzrAAAQbyaFOqVgeM5vPZ+UmOdsIXZQAAgACcZxUsxmdx/qMZsNIPFYF0mUlixTc2sbRRIALsnxpah0+TKVPrLMdP/sUlw3qPqGLdYxxmRx0SKz2c0teyJSGBUI9Kq5dY/ZdiwvJ5sCQCDMHMf2pHrXDZrOjwWWnyPr7w9Ly1eUq3XXVrN9orrHqpXz5YcUOMSFKwAAAADEt75jQbUce1MtL74pSZqbMfvjPxl3pBunA4DL6+8f0pFeVx0d72pf+1GdPBmyjgQAQNQMvf/+qG/b9cdu3f2F2yOYBgCA6Ok2vJAjAAAAAHzSyUNHdGDXf+rMseNhWW/6rJmaksTFPAAAuMiHg5p0uk0680b41qQAEB5HASAAJBi/n50TAInDC0USmXd9Ra4bniu6AIh9eTnZys2d78nivxGNMVhcalWSJ0mbnt4csbVbWtoMi2yXqmpdjclsIF5ZP++zT3plbpiuxDgeMxK4ADAQ6FXVup+oenWlyXzH8Wn949UqeHCJyXwAAAAAsNLV2aOuzuGL+CUnJ31UBDhbn5+brjm3zDJOBwDSwQN9euut43rrwHEdfCs8J1IBABCLhobe19nQGV2bPP2Kt+3uOUoBIAAgLrhuUO0dXdYxAAAAAMSZc4Pva2AM7xk//d5xDQTPqO+tt3Xq0JGwZrnxTl7HAwDEsQ+C0rlRnit1flAaOqZJg73SwNvSh4PhyzHFRwEgPI8CQABA1Lhu0DrCp1qYv0BVax61jhFV6+s2qrZuo3UMIKI8USTxWLUWL/muyXwA9uakz1ZW1lzl5sxXQcECzUmfbR3pimKt9G1h/gLTkuvm1rYIrr1HFSqL2PqX4zg+5ebMV0sEHx+A6HKD3j0m9wovv24R72rrNqogf4FZ8W1eTrZKS5byOgkAAACAhBUKDerVV97Sq6+8JUlKneWT3z9L9/zVXyjdfz2FgACi4uCBPvUeDmpf+1EdPhzUQP+QdSQAADzDPXliVAWAXfsDUkEUAgEAEGF72zutIwAAAACIQ2eOHdfunzVYx5AkzbrtFusIAABEzKSTz1tHkCSdv/pm6wjAFVEACACIGtcd/VURos1xfDFRyBNOjm+UjdlAjLMukliYfz9FEoAH+P1pEXseGCmfc5wUOT6f/P40ZWVlaE76bDlOSkRmRkpj0w4FAr3WMcakIH+B2ey97Z0R/Xy1tLYpEOg1KzhcmL+AAkAgjKyPOb18TO4VfI5sLV9RrtZdW832nypWlqlx204FDsXWvhAAAAAARELfsaD6jgX/rBAw447Z+vzcdAoBAUxYf/+QjvS6FP4BADBKfceO6uY0/xVv17W/W6HQoJKTk6KQCgCAyOF9awAAAADi2YzZN2maL7bOOQMAICb5bPolgLGgABAAEohVcQgAWKNIAkDFqjLrCDEhFstKF+bfbzZ7U8PmiM+ob9hs9v1bXFSo8so1JrMBINHwmo0UCPSqZMUqNTxZazLfcXxa/3i1Ch5cYjIfAAAAALzsk4WAyclJ8s+ZpbkZszU3Y7bmzLleyddSMALg0/X3D+nggeN6663jOtzrUvgHAMAYuSdPjvq2r7zRpbx7vxDBNAAARF5z6x7rCAAAAAAQMbf+X/dYRwAAIO6dT54rXUXhLryPAkAAAADEPYokAODK6hs2x9xVcxfmLzArd5Wkxv+zM+Izmlv3qEI2BYCO41NuzvyY+74AAMSubU07VVu3UaUlS03m5+Vkq7RkaUyWIgMAAABANIVCg+rq7FFXZ8/HH7uwEDA11dGcW2YZJgRg7UivqwNvHdeRXldvHTihkydD1pEAAIhp7qkTGhp6X1OnXn3F27a81E4BIAAg5vGeNQAAAADxKvW2WzRj9s3WMQAAiH++bOsEwKhQAAgAAICEsK1pp+obNqu4qNBkPkUSALyual2NdYQxW2z0nC5Je9s7FQj0RnxOS2ubXPe0WdHhwvwFvJkSABBVVetqVJD/Nc3xzzaZX7GyTI3bdipwKPLbeQAAAACIJ4HuYwp0H9Nzv3lNkpScnHRRKeCcOdcr+dok45QAIuHkiZDeOnBchw8HdbjX1eHDQQ30D1nHAgAgrgwNvS/35AmlXn/jFW/btb9bodCgkpPZ/wYAxKbmlj3WEQAAAAAgYj53373WEQAAiHvnU+ZLV9mckwuMFQWAAAAASBjllWuUmzOfIgkA+ISqtTVRKbMLJ8fxaWH+ArP5mxo2R21WfcNmlZYsjdq8CxUXFaq8co3JbABAYnLdoJavKFfT1qdM5juOT5ueqlXulx8ymQ8AAAAA8SIUGlRXZ4+6Ons+/ljqLJ/8/lkfFwNSCgjEHsr+AACwc/hwYFQFgJK0/YU9WlTwpQgnAgAgMjY9Hb335gEAAABANN1y7z2a5qOMCACAiJrik3zzrVMAo0YBIAAAABKGF4ok1j9erYIHl5jMB4BL6Q70qGpdjXWMMbMs/5Ok5tboXWW4sWmHWQGg4/iUmzNfLa1tJvMBAImppbVNtXUbzbZ/8zIzVL36UUpwAQAAACDM+o4F1XcsqFdfeevjjyUnJ8k/50+lgKmpjubcMsswJQBJ6u8f0qkTIfX2Bin7AwDAIwJvv6V5fzm6k5Wee/5lPfCVbCUnU7gNAIg9zbxXDQAAAEAcmn13lm699x7rGAAAxLcpPp1PXWSdAhgTCgABAACQUKyLJPJyslWxsiwmy7YAxKeCh2KzlHRxkd2LcN2BHrV3dEVtXktrm1z3tBzH5ipfxUWFFAACAKKual2NCvK/pjn+2SbzS0uWqbFpJ9tAAAAAAIiwUGhQXZ096urs0XO/ee3jj8/NmK3k5CRl3DFb6f5ZmjPneiVfS3kJEAknT4R0uDeoEydDOtLr6q0DJ3TyZMg6FgAA+IShoffV995RpV5/4xVvG+of0PYX9mhRwZeikAwAgPBpbtmjQKDXOgYAAAAAhNX0WZ/R5+671zoGAADxbXKSzn8mX7rK5jxcYLwoAAQAAEDCsS6SqFhVpsamHVEtjwKAS6laWxOTb5bzp6cpLyfbbP62pp1Rn1nfsNmsvHZh/gKVOyly3dMm84F4ccoNWkcAYorrBrV4yXfV+rtfm2Woe2ytcu57kG0gAAAAABjo6uyRJL36ylsffyw5OUn+ObPknzNLs2b5lO6fpVmzHKXO8lnFBGLKJ4v+Dvee1omTIQ30D1lHAwAAo3T4cGBUBYCS9NzzL+uBr2QrOZkibQBA7Nj09GbrCAAAAAAQVqm33aKMB75sHQMAgPg2OUnnUxdJU1OtkwBjRgEgACSQWCx3AYBIcN2glq8oV9PWp8wyNDy5niIJAKbqGzaral2NdYxxycu1K/+Thj930dbYtMOsANBxfMrKzFBLa5vJfCBeuEEKAPHpeM3m0to7OlVeuVrVqytN5vv9aapYWabyyjUm8wEAAAAAFwuFBtXV2fNxOeCIkWLACwsCU1MdzZrlU/K1lJ0gsfT3D+nUiZB6e4M6fDj4cenfyZMh62gAACAMAm+/pYw7/1JTp159xduG+ge0/YU9WlTwpSgkAwBg4roDPapv2GIdAwAAAADCZvbdWfrcffdaxwAAIL5NTdX5mQXSVSnWSYBxoQAQABA1fn+aAoc4oR2AN7S0tqlqbY0qVpWZzKdIAoCl7kCPyitXW8cYt8VFi8xmdwd61N7RFfW5La1tct3TchybFyErVpWp4MElJrMBhIc/nWPyK7F6jsXl1dZtVEH+AuXl2BQAl5YsU2PTTopwAQAAAMDDRooBJenVV9666N9GSgFTZ/mUmur7uChwzpzrKQdEzDp5IqSB/iH1flTsN1zyd1onTg5/HAAAxK+hofd1YP+byrjzL0d1++eef1l5fz1PqTNnRDQXAADhwO/lAQAAgNG7xjfx9z1PnzUzDEmiZ5ovRVOSrta5wfeto1zRNN90ZTzwFc1Ivyl8a4bhve6x9jUHAHNTUye+xlW+ia8RbZOufCEqrzifMl+a/gVpchjfBzZllnTu9ATuH4Nfc5iiABAAEoxlacgMTqQH4DFV62pUULBA8zIzTOZTJAHAQnegRwUPLZHrTuAFKEP+9DSzAiBJ2ta002x2fcNmlZYsNZk9LzNDjpMSs983ADAajmP3C5ZTbtBsdixYvqJcrbu2mr2mVffYWuXc9yDbQQAAAACIQR+XA3b++b8lJyd9XAyYOsunWbN8mpnqU2qqo1mzfBQEwsyFBX/9A0M60uuqv/+cDn/0/5T8AQCQ2ALvvDXqAsBQ/4B++otGVXz/4ciGAgAgDKrW1VhHAAAAAGLGjXferkOvto+7DO/GO2/XlKTY+31o+t1Zenv3K9YxPtWUpKuVfneWZt+dGfbP7zRfimbMvlmneg6P8/7TNeu2W8KaCQDi3uQkKSlNGuwd//2vtekwmJBrM6Szb1inuLyr03T+Mwukq8J/ntH56V/QpIGD47//NXPDmAaJgAJAAEgwrhs0O1na8TkmcwHgchYvKaVIAkD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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The approach is two folds:\n",
        "1. **Context retrieval** - This involves identifying chunks of texts, within the source documents and extracting them to generate context. This is achieved through retrieval augmentation. \"LlamaIndex\" is our choice of framework for retrieval and augmentation.\n",
        "\n",
        "2. **Text generation** - This involves inferencing on LLM(s) to respond in a fashion such that the output is always derived from the information present within the context provided.\n",
        "\n",
        "Advantages:\n",
        "1. Data privacy is intact, since LLM is hosted locally\n",
        "2. No commercial API based cost"
      ],
      "metadata": {
        "id": "FO52VXXcxuzv"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "%%capture\n",
        "# let's display 'execution time' for each cell\n",
        "!pip install ipython-autotime\n",
        "%load_ext autotime"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RNXXNUGKQsXp",
        "outputId": "71485776-e18b-42a1-edba-77c5270f44ce"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "time: 330 µs (started: 2024-07-21 10:35:32 +00:00)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mhb3VEWchNfv",
        "outputId": "c22f1631-272d-44a7-bb51-668e4b976770"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "time: 2min 9s (started: 2024-07-21 10:35:32 +00:00)\n"
          ]
        }
      ],
      "source": [
        "%%capture\n",
        "# install dependencies\n",
        "!pip install --upgrade pip\n",
        "!pip install --upgrade Pillow\n",
        "!pip install --upgrade transformers\n",
        "!pip install --upgrade accelerate\n",
        "!pip install --upgrade bitsandbytes\n",
        "!pip install --upgrade pypdf\n",
        "\n",
        "# install more dependencies\n",
        "!pip install --upgrade llama-index\n",
        "!pip install --upgrade llama-index-llms-huggingface\n",
        "!pip install --upgrade llama-index-embeddings-huggingface"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "%%capture\n",
        "# import packages and libraries\n",
        "import pandas as pd\n",
        "from IPython.display import display\n",
        "import torch\n",
        "from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer, BitsAndBytesConfig\n",
        "from llama_index.llms.huggingface import HuggingFaceLLM\n",
        "from llama_index.embeddings.huggingface import HuggingFaceEmbedding\n",
        "from llama_index.core import Settings, VectorStoreIndex, SimpleDirectoryReader\n",
        "from llama_index.core import ChatPromptTemplate\n",
        "from llama_index.core.response.notebook_utils import display_response"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pHMmeqV9khGd",
        "outputId": "90f6765e-2691-4265-cdb7-734146980ec8"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "time: 21 s (started: 2024-07-21 10:37:42 +00:00)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# HuggingFace login for accessing LLM\n",
        "from huggingface_hub import interpreter_login\n",
        "interpreter_login()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JGyBKZVQk9K3",
        "outputId": "1fd90dbc-29d3-49dd-fa3d-bcf9dca3d584"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "    _|    _|  _|    _|    _|_|_|    _|_|_|  _|_|_|  _|      _|    _|_|_|      _|_|_|_|    _|_|      _|_|_|  _|_|_|_|\n",
            "    _|    _|  _|    _|  _|        _|          _|    _|_|    _|  _|            _|        _|    _|  _|        _|\n",
            "    _|_|_|_|  _|    _|  _|  _|_|  _|  _|_|    _|    _|  _|  _|  _|  _|_|      _|_|_|    _|_|_|_|  _|        _|_|_|\n",
            "    _|    _|  _|    _|  _|    _|  _|    _|    _|    _|    _|_|  _|    _|      _|        _|    _|  _|        _|\n",
            "    _|    _|    _|_|      _|_|_|    _|_|_|  _|_|_|  _|      _|    _|_|_|      _|        _|    _|    _|_|_|  _|_|_|_|\n",
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:89: UserWarning: \n",
            "The secret `HF_TOKEN` does not exist in your Colab secrets.\n",
            "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n",
            "You will be able to reuse this secret in all of your notebooks.\n",
            "Please note that authentication is recommended but still optional to access public models or datasets.\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "    To login, `huggingface_hub` requires a token generated from https://huggingface.co/settings/tokens .\n",
            "Enter your token (input will not be visible): ··········\n",
            "Add token as git credential? (Y/n) Y\n",
            "Token is valid (permission: read).\n",
            "Your token has been saved in your configured git credential helpers (store).\n",
            "Your token has been saved to /root/.cache/huggingface/token\n",
            "Login successful\n",
            "time: 2min 20s (started: 2024-07-21 10:38:03 +00:00)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# load the Google drive helper and mount\n",
        "# this is where we can store our PDF documents, content of which will provide context to the LLM\n",
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DeL0O1nichpZ",
        "outputId": "32ecb740-97e0-4b3e-8e61-0fb7b660eb00"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n",
            "time: 28.7 s (started: 2024-07-21 10:40:23 +00:00)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## **Choice of LLM - \"Mistral-7B-Instruct-v0.1\"**"
      ],
      "metadata": {
        "id": "6Thj-PLrFEMJ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# @title\n",
        "# Mistral logo\n",
        "with Image.open(\"drive/My Drive/pdf_chatbot_using_rag/mistral_ai.png\") as img:\n",
        "  resized_img = img.resize((400,250))\n",
        "  display(resized_img)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 284
        },
        "id": "ZWqeS5FtBJ3x",
        "outputId": "2ff3f161-02de-4c50-b7b9-dc80ba5bf320",
        "cellView": "form"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<PIL.Image.Image image mode=P size=400x250>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "time: 1.28 s (started: 2024-07-21 10:40:52 +00:00)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**\"Mistral-7B-Instruct-v0.1\" LLM**\n",
        "\n",
        "1. State-of-the-art: released by MistralAI in H2'2023\n",
        "2. Can be persisted locally on your own machines; parameter count = 7b (ChatGPT has 175b parameters)\n",
        "3. Context window = 32.8k tokens\n",
        "4. Requires minimal GPUs for inferencing. Fine-tuning is not computationally expensive\n",
        "5. Good community support\n"
      ],
      "metadata": {
        "id": "-9R5xEoGBhZy"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# load large language model and define quantization parameters\n",
        "\n",
        "quantization_config = BitsAndBytesConfig(\n",
        "    load_in_4bit=True,\n",
        "    bnb_4bit_compute_dtype=torch.float16,\n",
        "    bnb_4bit_quant_type=\"nf4\",\n",
        "    bnb_4bit_use_double_quant=True,\n",
        ")\n",
        "\n",
        "Settings.llm = HuggingFaceLLM(\n",
        "    model_name=\"mistralai/Mistral-7B-Instruct-v0.1\",\n",
        "    tokenizer_name=\"mistralai/Mistral-7B-Instruct-v0.1\",\n",
        "    context_window=3900,\n",
        "    max_new_tokens=256,\n",
        "    model_kwargs={\"quantization_config\": quantization_config},\n",
        "    generate_kwargs={\n",
        "        \"do_sample\":True, # Enables sampling, making the output more varied and less deterministic.\n",
        "        \"temperature\": 0.3, # Low temperature makes the output more focused and less random; high temperature increases randomness.\n",
        "        \"top_k\": 50, # Considers only the top 50 most probable next tokens, reducing the chance of unlikely words appearing.\n",
        "        \"top_p\": 0.95 # Chooses from the smallest set of tokens whose cumulative probability is 95%, balancing between diversity and coherence.\n",
        "        },\n",
        "    device_map=\"cuda\",\n",
        ")\n",
        "\n",
        "# model for Embeddings\n",
        "Settings.embed_model = HuggingFaceEmbedding(model_name=\"BAAI/bge-small-en-v1.5\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 738,
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          "text": [
            "time: 2min 40s (started: 2024-07-21 10:40:53 +00:00)\n"
          ]
        }
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    {
      "cell_type": "code",
      "source": [
        "# we set up a QnA template\n",
        "\n",
        "# mistral-instruct doesn't use the \"system\" role, so supply the context and question as a \"user\" message.\n",
        "chat_text_qa_msgs = [\n",
        "    (\n",
        "        \"user\",\n",
        "        \"\"\"You are a well-behaved chatbot i.e. a Q&A assistant. Your goal is to answer questions as accurately as possible, exclusively based on the instructions and context provided.\n",
        "\n",
        "Context:\n",
        "\n",
        "{context_str}\n",
        "\n",
        "Question:\n",
        "\n",
        "{query_str}\n",
        "\"\"\",\n",
        "    )\n",
        "]\n",
        "\n",
        "text_qa_template = ChatPromptTemplate.from_messages(chat_text_qa_msgs)"
      ],
      "metadata": {
        "id": "-slxsz9_mPxE",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "f6987b51-7bf9-456d-ba2f-826fd234b6bd"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "time: 517 µs (started: 2024-07-21 10:43:34 +00:00)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## **Approach: Retrieval Augmented Generation**"
      ],
      "metadata": {
        "id": "EKrBxtUhcn9R"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# processing and displaying PDF documents\n",
        "docs_path = f\"drive/My Drive/pdf_chatbot_using_rag/PDFs/\"\n",
        "documents = SimpleDirectoryReader(docs_path).load_data() # load your data (PDFs)\n",
        "\n",
        "# evaluating how doucuments were indexed\n",
        "files_df = pd.DataFrame(columns = ['file_name', 'page_number'])\n",
        "for i, document in enumerate(documents):\n",
        "  files_df.loc[i] = [document.metadata['file_name'], document.metadata['page_label']]\n",
        "\n",
        "# grouping dosuments with file names\n",
        "docs_df = files_df.groupby(\"file_name\").size().reset_index(name = 'number_of_pages')\n",
        "total_pages = docs_df['number_of_pages'].sum()\n",
        "docs_df = pd.concat([docs_df, pd.DataFrame({'file_name': ['TOTAL'], 'number_of_pages': [total_pages]})], ignore_index=True)\n",
        "\n",
        "print(f\"Number of documents processed = {len(docs_df['file_name'].unique()) - 1}\")\n",
        "print(f\"Total number of pages indexed = {sum(docs_df['number_of_pages']) - total_pages}\")\n",
        "display(docs_df)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 196
        },
        "id": "uzBccBWyk5jo",
        "outputId": "d3785f63-fb66-4dac-c563-1fdc97c0be9b"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Number of documents processed = 2\n",
            "Total number of pages indexed = 7\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "                                    file_name  number_of_pages\n",
              "0  anecdotes_from_my_IIT_JEE_preparations.pdf                3\n",
              "1                        un_reforms_essay.pdf                4\n",
              "2                                       TOTAL                7"
            ],
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              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-43c018a9-03cf-4d31-aea9-140508dc32aa button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_b3070e26-b447-44f2-ac5e-71782c8f31ec\">\n",
              "    <style>\n",
              "      .colab-df-generate {\n",
              "        background-color: #E8F0FE;\n",
              "        border: none;\n",
              "        border-radius: 50%;\n",
              "        cursor: pointer;\n",
              "        display: none;\n",
              "        fill: #1967D2;\n",
              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
              "        width: 32px;\n",
              "      }\n",
              "\n",
              "      .colab-df-generate:hover {\n",
              "        background-color: #E2EBFA;\n",
              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "        fill: #174EA6;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate:hover {\n",
              "        background-color: #434B5C;\n",
              "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "        fill: #FFFFFF;\n",
              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('docs_df')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_b3070e26-b447-44f2-ac5e-71782c8f31ec button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('docs_df');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "docs_df",
              "summary": "{\n  \"name\": \"docs_df\",\n  \"rows\": 3,\n  \"fields\": [\n    {\n      \"column\": \"file_name\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"anecdotes_from_my_IIT_JEE_preparations.pdf\",\n          \"un_reforms_essay.pdf\",\n          \"TOTAL\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"number_of_pages\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2,\n        \"min\": 3,\n        \"max\": 7,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          3,\n          4,\n          7\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "time: 2.72 s (started: 2024-07-21 10:43:34 +00:00)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# @title\n",
        "# RAG_INDEXING schematic\n",
        "with Image.open(\"drive/My Drive/pdf_chatbot_using_rag/RAG_indexing.png\") as img:\n",
        "  resized_img = img.resize((700,400))\n",
        "  display(resized_img)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 434
        },
        "cellView": "form",
        "id": "6WSkDZca6t2d",
        "outputId": "8cb73eda-55b3-4144-f9a9-77eb91b5815d"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<PIL.Image.Image image mode=RGBA size=700x400>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "time: 1.45 s (started: 2024-07-21 10:43:37 +00:00)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# indexing (i.e. creating vector database)\n",
        "\n",
        "vector_index = VectorStoreIndex.from_documents(documents)\n",
        "print(f\"Total number of pages (from all PDFs) covered in the vector database + {len(vector_index.ref_doc_info)}\")\n",
        "\n",
        "# exploring vector database\n",
        "vector_dict = vector_index.ref_doc_info\n",
        "vector_df = pd.DataFrame(columns = ['file_name', 'page_label', 'page_vector_ids', 'node_vector_ids', 'count_nodes'])\n",
        "for i, page_vector_ids in enumerate(vector_dict):\n",
        "  node_vector_ids = vector_dict[page_vector_ids].node_ids\n",
        "  count_nodes = len(node_vector_ids)\n",
        "  file_name = vector_dict[page_vector_ids].metadata['file_name']\n",
        "  page_label = vector_dict[page_vector_ids].metadata['page_label']\n",
        "  vector_df.loc[i] = [file_name, page_label, page_vector_ids, node_vector_ids, count_nodes]\n",
        "print(f\"Number of node vectors created in the database = {vector_df['count_nodes'].sum()}\")\n",
        "display(vector_df)"
      ],
      "metadata": {
        "id": "siy40DHfqH8j",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 321
        },
        "outputId": "4c22f8ca-5f34-4828-ebbe-8e5ded74a9ad"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Total number of pages (from all PDFs) covered in the vector database + 7\n",
            "Number of node vectors created in the database = 11\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "                                    file_name page_label  \\\n",
              "0  anecdotes_from_my_IIT_JEE_preparations.pdf          1   \n",
              "1  anecdotes_from_my_IIT_JEE_preparations.pdf          2   \n",
              "2  anecdotes_from_my_IIT_JEE_preparations.pdf          3   \n",
              "3                        un_reforms_essay.pdf          1   \n",
              "4                        un_reforms_essay.pdf          2   \n",
              "5                        un_reforms_essay.pdf          3   \n",
              "6                        un_reforms_essay.pdf          4   \n",
              "\n",
              "                        page_vector_ids  \\\n",
              "0  d6e412c0-e03f-4dea-808f-b5f4c425c127   \n",
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              "\n",
              "                                     node_vector_ids  count_nodes  \n",
              "0             [d2d33b83-ac67-4c57-9427-0c8330119cfc]            1  \n",
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              "      <td>anecdotes_from_my_IIT_JEE_preparations.pdf</td>\n",
              "      <td>1</td>\n",
              "      <td>d6e412c0-e03f-4dea-808f-b5f4c425c127</td>\n",
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              "      <td>2</td>\n",
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              "      <td>anecdotes_from_my_IIT_JEE_preparations.pdf</td>\n",
              "      <td>3</td>\n",
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              "      <td>[e7a7f571-64eb-476e-8142-d0e16acad0e9, 6394f37...</td>\n",
              "      <td>2</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>un_reforms_essay.pdf</td>\n",
              "      <td>2</td>\n",
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              "      <td>[1a4120f6-a96f-4ed0-a5b8-a1edfde637d7, 2aca162...</td>\n",
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              "      <td>3</td>\n",
              "      <td>682c23f7-2819-40be-bd7b-19fa01d4878d</td>\n",
              "      <td>[71dbd5da-caa2-4fa1-b17b-082b80e0d81b, 49096d3...</td>\n",
              "      <td>2</td>\n",
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              "      <th>6</th>\n",
              "      <td>un_reforms_essay.pdf</td>\n",
              "      <td>4</td>\n",
              "      <td>49821c19-9849-4f2d-9070-d89f09042643</td>\n",
              "      <td>[72cef788-77b3-45e9-9e36-efbf8692c68f]</td>\n",
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            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "time: 2.19 s (started: 2024-07-21 10:43:38 +00:00)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# defining query engine\n",
        "\n",
        "Settings.chunk_size = 512 # size of text chunks\n",
        "Settings.chunk_overlap = 10\n",
        "number_of_text_chunks_to_consider_in_context_for_one_prompt = 3 # number of text chunks to consider for constructing context for one prompt\n",
        "\n",
        "query_engine = vector_index.as_query_engine(\n",
        "    response_mode = 'compact', # this means that the query engine will generate concise, to-the-point responses, avoiding lengthy or detailed explanations\n",
        "    similarity_top_k = number_of_text_chunks_to_consider_in_context_for_one_prompt,\n",
        "    text_qa_template=text_qa_template\n",
        "    )"
      ],
      "metadata": {
        "id": "looUBVw1wRLD",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "ed8deab5-59a5-4691-fe34-6412af1b045f"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "time: 821 µs (started: 2024-07-21 10:43:40 +00:00)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# model response to human queries\n",
        "\n",
        "human_query = \"What stats about IIT-JEE are discussed in this document? Give me answer in 5 bullet points\"\n",
        "# human_query = \"What were the most crucial learnings for the author in the process of preparation for IIT-JEE exam? Respond in 3 lines\"\n",
        "# human_query = \"What key points has the author propsed for the UN reform? Answer in 3 to 4 lines.\"\n",
        "response = query_engine.query(human_query)\n",
        "display_response(response)\n",
        "\n",
        "\n",
        "# exploring sources for model response\n",
        "data_response_source_nodes = []\n",
        "for source_node in response.source_nodes:\n",
        "  data_response_source_nodes.append(\n",
        "      {\n",
        "          'file_name': source_node.metadata['file_name'],\n",
        "          'page_label': source_node.metadata['page_label'],\n",
        "          'score': \"{:.3f}\".format(source_node.score),\n",
        "          'start_char_index': source_node.node.start_char_idx,\n",
        "          'end_char_index': source_node.node.end_char_idx,\n",
        "          'len_text': len(source_node.node.text),\n",
        "          'word_count': len(source_node.node.text.split()),\n",
        "          'text': source_node.node.text,\n",
        "      }\n",
        "  )\n",
        "df_response_source_nodes = pd.DataFrame(data_response_source_nodes)\n",
        "display(df_response_source_nodes)"
      ],
      "metadata": {
        "id": "cE4DxhWayPwt",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 351
        },
        "outputId": "0de73b60-0efe-4eaa-ce22-136421817bef"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Markdown object>"
            ],
            "text/markdown": "**`Final Response:`** 1. IIT-JEE stands for the Indian Institute of Technology - Joint Entrance Examination, which is the toughest engineering entrance examination in India and across the globe.\n2. It is conducted by the Indian Institute of Technology and sees participation from 4,85,000 students competing to secure the top 5000 seats in the most sought-after chain of 7 IITs (public engineering institutions).\n3. The success rate of IIT-JEE is less than 1%.\n4. The hype surrounding IIT-JEE is not unreal, with almost 73% of India's 100 unicorn startups having at least one founder from IIT.\n5. The syllabus of the IIT-JEE exam is significantly advanced from what is taught in schools, leading students to choose coaching to improve their chances of success."
          },
          "metadata": {}
        },
        {
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              "                                    file_name page_label  score  \\\n",
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              "2  anecdotes_from_my_IIT_JEE_preparations.pdf          2  0.703   \n",
              "\n",
              "   start_char_index  end_char_index  len_text  word_count  \\\n",
              "0                 0            2034      2034         334   \n",
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              "\n",
              "                                                text  \n",
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\"My\\nIIT\\nJEE\\npreparations\\nand\\nthe\\nquest\\nto\\nachieve\\ntwo\\nmost\\nproductive\\nyears\\nof\\nmy\\nlife!\\n-2011\\n-IIT\\nJEE\\nis\\nthe\\ntoughest\\nEngineering\\nEntrance\\nExamination\\nnot\\nonly\\nin\\nIndia,\\nbut\\nacross\\nthe\\nglobe.\\nIt\\nstands\\nfor\\nthe\\nIndian\\nInstitute\\nof\\nTechnology\\n-\\n\\u2018Joint\\nEntrance\\nExamination\\u2019\\n-1051\\nexamination\\ncenters\\nin\\n131\\ncities\\nall\\nover\\nIndia\\nand\\nin\\nDubai.\\n-It\\nsees\\na\\nparticipation\\nof\\n4,85,000\\nstudents\\n1\\ncompeting\\nto\\nsecure\\nthe\\ntop\\n5000\\nseats\\nin\\nthe\\nmost\\nsought\\nafter\\nprestigious\\nchain\\nof\\n7\\nIITs\\n(public\\nEngineering\\ninstitutions)\\n-the\\nsuccess\\nrate\\nis\\nless\\nthan\\n1%\\n-the\\nhype\\nis\\nnot\\nunreal.\\nToday,\\nalmost\\n3/4th\\n(73)\\nof\\nIndia\\u2019s\\n100\\nunicorn\\nstartups\\nhave\\nat\\nleast\\none\\nfounder\\nfrom\\nIIT\\n2\\n-I\\nsecured\\nan\\nAll\\nIndia\\nRank\\nof\\n2591\\nHow\\nit\\nworks:\\n-\\nStudents\\nstart\\npreparing\\nfrom\\nclass\\n11th,\\nsome\\nfrom\\n10th\\n-\\nStandard\\npreparation\\ntime\\nis\\nat\\nleast\\n2\\nyears.\\n-\\nThe\\nsyllabus\\nof\\nthe\\nexam\\nis\\nsignificantly\\nadvanced\\nfrom\\nwhat\\nis\\ntaught\\nin\\nthe\\nschools.\\n-\\nSo,\\nstudents\\nchoose\\nto\\nget\\ncoached\\n-\\nAs\\na\\nconsequence,\\nan\\nentire\\ncoaching\\nindustry\\nhas\\nsurfaced\\nup\\nin\\nparts\\nof\\nIndia.\\n-\\nThe\\nhotspot\\nis\\nKota\\n-\\na\\nsmall\\ntown\\nin\\nwest\\nIndia\\nwhere\\nthe\\nindustry\\nhas\\ntraditionally\\nflourished\\nover\\nthe\\npast\\n30\\nyears\\nor\\nso\\n-\\nStudents\\nfrom\\nacross\\nthe\\ncountry\\nmigrate\\nto\\nKota\\nfor\\ntwo\\nyears\\nto\\nprepare\\nfor\\nthe\\nexam.\\n-\\nKota\\u2019s\\ninfrastructure\\nis\\nso\\nmature\\nthat\\nit\\nnever\\nfails\\nto\\ndeliver\\ntop\\n10\\nranks\\nin\\nthe\\nIIT-JEE\\nexam\\n-\\nyear\\nafter\\nyear.\\n-\\nBrightest\\nteachers\\nare\\nappointed\\nand\\nthey\\nattract\\nthe\\nbrightest\\nstudents\\nin\\nKota.\\nAnd\\ntogether\\nthey\\ndo\\nwonders.\\n-\\nIn\\nschool,\\nI\\nperformed\\nvery\\nwell\\nin\\nMaths\\n-\\nand\\nas\\nevery\\nother\\nkid,\\nI\\ndreamt\\nof\\npreparing\\nfor\\nIIT\\nin\\nKota.\\nKota\\nwas\\nfar\\nfrom\\nmy\\nhometown.\\n-\\nBack\\nthen,\\nwhen\\nthe\\nconcept\\nof\\nonline\\neducation\\nwas\\nalmost\\nabsent,\\nlocal\\ncoaching\\ninstitutes\\nwere\\nthe\\nonly\\noption\\nfor\\nstudents\\nnot\\ngoing\\nto\\nKota.\\nAs\\ncan\\nbe\\nguessed,\\nthe\\nsuccess\\nrates\\nwere\\nvery\\nlow.\\n2\\nhttps://www.moneycontrol.com/news/business/startup/73-of-indias-100-unicorns-have-at-least-one-found \\ner-from-iit-8501801.html\\n1\\nhttps://iitk.ac.in/new/data/jee-report/Report%20JEE%202011_EDITED_Aug14.pdf\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
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            "time: 20.4 s (started: 2024-07-21 10:43:40 +00:00)\n"
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