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"source": [ + "### Import" + ], + "metadata": { + "id": "-ZEl2scBw4XE" + } + }, + { + "cell_type": "code", + "source": [ + "# !pip install txtai" + ], + "metadata": { + "id": "8oJf83FavGu8" + }, + "execution_count": 7, + "outputs": [] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "id": "Rps3ej_Tu5Tb" + }, + "outputs": [], + "source": [ + "# import the packages\n", + "import pandas as pd ## for better visualization of result\n", + "from txtai.embeddings import Embeddings\n", + "import pandas as pd" + ] + }, + { + "cell_type": "markdown", + "source": [ + "### Load model" + ], + "metadata": { + "id": "hklanY5Ow5rp" + } + }, + { + "cell_type": "code", + "source": [ + "# Create embeddings model, backed by sentence-transformers & transformers\n", + "# embeddings = Embeddings({\"path\": \"nlpaueb/legal-bert-small-uncased\"})\n", + "embeddings = Embeddings({\"path\": \"sentence-transformers/nli-mpnet-base-v2\"})" + ], + "metadata": { + "colab": { + "base_uri": 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"7340908d454444d390179462d8a60105", + "4cf02766ff634bb580ef9ea724e8ab8a", + "c7f221274c15453f888c884869ba46d6", + "a06ab80852e74ef3afd1435f82c24d8b", + "f0e61494e8de429aa58d4313dda97df6", + "44da0e68569847ba9206e748dc388694", + "99089dc81c3d4531a82a682f721a2a5a", + "6dadb23c62984281bbb34658c040a5c2", + "e65a8c92c3f742858a3cd90e07dae296", + "492c558a9d1d4bebbf436ea9c478d1e9", + "6864d1bd908e4e3dbefefec82bc28a1b", + "3302b9f925cc41a5bcd97eaad10b4a54", + "62ae1b7eaf584a46a4562058036aa2f2", + "d3b2b34f06b44874bf3e9903ec722c40", + "c86b04adff0142b1b645999865ade846", + "edb31e0c830e4f0d9a5933ed9c7fc94d", + "e8c2824ac4014824bc04b760a85f77a9", + "c27477607f434c148a2f31fdeabde43a", + "c6060155c9f54bff9e8b5b71f076d02e", + "24930c3858d645d6b1b00364909149a1", + "4e0674eb34294b24b7ec2119c78e1689", + "2bc88b4bc9b246319c778748c8ece3dd", + "3c33069711fb4a40b7f1c9d63eb03406", + "5a7bc17f4fa24c5dbd68bc8b50634c6f", + "bdf8fd2638d94dd7afc565bfcad28505", + "1158956919bb4a0ca5ade41b2a62079b", + "612de17bf75c490fbccd8041cfd8126d", + "b21225efecc546878bb85e327a1b763d", + "e29f9ba9f173459093b8cdf7c9cf762b", + "86d1b5e355224776a5a5ff2b10264e9d", + "0bfd25f3c133458fa8140dd3a6b713e9", + "d9d5a85c9cc44b5fb0217027d725466c", + "1c53f84dbd194e328b96c517e364b3b6", + "65194203842d4f33be8f4a8077897a0c", + "e9768a78bd3b422c9f461cbfc508ce83", + "f382aae51b93440ea939761518913f7a", + "d0f485d8cbf344f085b0f26f94bde5a6", + "a20ba4a743d64df7a996746a9f935150", + "a453117eaa0842c3a51e245be8ff380e", + "e531998b377b4eb09842178b636a9d9d", + "148eff52cc5247ef9d28c9a5cb03fc47", + "c62357b3d65f4f0397f25629244f8d76" + ] + }, + "id": "Tg8FQRdfvWl1", + "outputId": "48d8427b-b47b-4030-df5e-327047fbbddb" + }, + "execution_count": 60, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "Downloading: 0%| | 0.00/587 [00:00, ?B/s]" + ], + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "32d82d4dcce7440a824de4f17635866d" + } + }, + "metadata": {} + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "Downloading: 0%| | 0.00/418M [00:00, ?B/s]" + ], + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "4bd3aa0d678e4471813c40296302a44c" + } + }, + "metadata": {} + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "Downloading: 0%| | 0.00/1.16k [00:00, ?B/s]" + ], + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "54904e323b1a4f968dee0d5a9a198e2d" + } + }, + "metadata": {} + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "Downloading: 0%| | 0.00/226k [00:00, ?B/s]" + ], + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "492c558a9d1d4bebbf436ea9c478d1e9" + } + }, + "metadata": {} + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "Downloading: 0%| | 0.00/455k [00:00, ?B/s]" + ], + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "4e0674eb34294b24b7ec2119c78e1689" + } + }, + "metadata": {} + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "Downloading: 0%| | 0.00/239 [00:00, ?B/s]" + ], + "application/vnd.jupyter.widget-view+json": { + "version_major": 2, + "version_minor": 0, + "model_id": "d9d5a85c9cc44b5fb0217027d725466c" + } + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "### Load data and create index" + ], + "metadata": { + "id": "1oadnuXNvxlK" + } + }, + { + "cell_type": "code", + "source": [ + "# read the data\n", + "df = pd.read_csv(\"/content/sections_desc.csv\")\n", + "# display sample\n", + "display(df.head())" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 206 + }, + "id": "SD63x1AuvkyU", + "outputId": "e3a23803-e543-493b-98f0-8f574d78953b" + }, + "execution_count": 14, + 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