semantic_textual_similarity.ipynb

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      "execution_count": null,
      "metadata": {
        "id": "xLAriH1TC9rG"
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      "outputs": [],
      "source": [
        "!pip install faiss-cpu\n",
        "!pip install sentence_transformers"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import json\n",
        "from pprint import pprint\n",
        "import faiss\n",
        "import torch\n",
        "import pickle\n",
        "import numpy as np\n",
        "from sentence_transformers import SentenceTransformer"
      ],
      "metadata": {
        "id": "GGRQbUTDDBFN"
      },
      "execution_count": 130,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "with open('data.json', 'r') as f:\n",
        "  dataset = json.load(f)"
      ],
      "metadata": {
        "id": "Vb8p7n-yDMsj"
      },
      "execution_count": 3,
      "outputs": []
    },
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      "source": [
        "sentences = [d['text'] for d in dataset]"
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      "metadata": {
        "id": "EfsX2SnMDYb3"
      },
      "execution_count": 108,
      "outputs": []
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    {
      "cell_type": "code",
      "source": [
        "sentence_embeddings = model.encode(sentences)"
      ],
      "metadata": {
        "id": "RO0AMTcCDzfL"
      },
      "execution_count": 110,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "vector_space_size = sentence_embeddings[0].shape[0]\n",
        "\n",
        "index = faiss.IndexIDMap(faiss.IndexFlatIP(vector_space_size))"
      ],
      "metadata": {
        "id": "mKqRZ2GrECi2"
      },
      "execution_count": 112,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "index.add_with_ids(\n",
        "    sentence_embeddings,\n",
        "    np.array(range(0, len(dataset)))\n",
        ")"
      ],
      "metadata": {
        "id": "fztgorhxE-po"
      },
      "execution_count": 113,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def search(query: str, k=1):\n",
        "  encoded_query = np.array([model.encode(query)])\n",
        "  top_k = index.search(encoded_query, k)\n",
        "  scores = top_k[0][0]\n",
        "  results = [dataset[_id] for _id in top_k[1][0]]\n",
        "  results = [{k:v for k,v in r.items() if k in ('title', 'url')} \n",
        "             for r in results]\n",
        "  return list(zip(results, scores))"
      ],
      "metadata": {
        "id": "TBBpnd58FjLB"
      },
      "execution_count": 114,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "questions = [\"How many people have died during Black Death?\", \n",
        "  \"Which diseases can be transmitted by animals?\", \n",
        "  \"Connection between climate change and a likelihood of a pandemic\", \n",
        "  \"What is an example of a latent virus\", \"Viruses in nanotechnology\", \n",
        "  \"Giant viruses classification\", \"What are the notable pandemic prevention organizations?\", \n",
        "  \"How many leprosy outbreaks are known to happen?\", \n",
        "  \"What are the geographic areas with the highest transmission of malaria?\", \n",
        "  \"How to prevent the spread of viral infections?\"]"
      ],
      "metadata": {
        "id": "OrZ78-rqGA3V"
      },
      "execution_count": 115,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "for q in questions:\n",
        "  print('query: %s\\n' % q)\n",
        "  result = search(q, k=3)\n",
        "  for r in result:\n",
        "    print('\\t title: %s, score: %s, url: %s' % \n",
        "          (r[0]['title'], r[1], r[0]['url']))\n",
        "  print('\\n\\n')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IxvS3AjEHEdR",
        "outputId": "25ea7c78-d025-4e19-e698-f71196d50f91"
      },
      "execution_count": 128,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "query: How many people have died during Black Death?\n",
            "\n",
            "\t title: Pandemic, score: 44.64847, url: https://en.wikipedia.org/wiki/Pandemic\n",
            "\t title: Spanish flu, score: 42.816513, url: https://en.wikipedia.org/wiki/Spanish_flu\n",
            "\t title: Pandemic prevention, score: 40.31983, url: https://en.wikipedia.org/wiki/Pandemic_prevention\n",
            "\n",
            "\n",
            "\n",
            "query: Which diseases can be transmitted by animals?\n",
            "\n",
            "\t title: Swine influenza, score: 89.7691, url: https://en.wikipedia.org/wiki/Swine_influenza\n",
            "\t title: Targeted immunization strategies, score: 78.84324, url: https://en.wikipedia.org/wiki/Targeted_immunization_strategies\n",
            "\t title: Pandemic prevention, score: 71.77265, url: https://en.wikipedia.org/wiki/Pandemic_prevention\n",
            "\n",
            "\n",
            "\n",
            "query: Connection between climate change and a likelihood of a pandemic\n",
            "\n",
            "\t title: Pandemic prevention, score: 117.75107, url: https://en.wikipedia.org/wiki/Pandemic_prevention\n",
            "\t title: PREDICT (USAID), score: 108.271996, url: https://en.wikipedia.org/wiki/PREDICT_(USAID)\n",
            "\t title: Pandemic severity index, score: 90.16049, url: https://en.wikipedia.org/wiki/Pandemic_severity_index\n",
            "\n",
            "\n",
            "\n",
            "query: What is an example of a latent virus\n",
            "\n",
            "\t title: PREDICT (USAID), score: 93.40964, url: https://en.wikipedia.org/wiki/PREDICT_(USAID)\n",
            "\t title: HIV/AIDS, score: 86.79358, url: https://en.wikipedia.org/wiki/HIV/AIDS\n",
            "\t title: Pandemic prevention, score: 72.72848, url: https://en.wikipedia.org/wiki/Pandemic_prevention\n",
            "\n",
            "\n",
            "\n",
            "query: Viruses in nanotechnology\n",
            "\n",
            "\t title: Virus, score: 99.99104, url: https://en.wikipedia.org/wiki/Virus\n",
            "\t title: Science diplomacy and pandemics, score: 82.58945, url: https://en.wikipedia.org/wiki/Science_diplomacy_and_pandemics\n",
            "\t title: HIV/AIDS, score: 74.245895, url: https://en.wikipedia.org/wiki/HIV/AIDS\n",
            "\n",
            "\n",
            "\n",
            "query: Giant viruses classification\n",
            "\n",
            "\t title: Swine influenza, score: 89.15041, url: https://en.wikipedia.org/wiki/Swine_influenza\n",
            "\t title: Virus, score: 80.4706, url: https://en.wikipedia.org/wiki/Virus\n",
            "\t title: Superspreader, score: 80.22398, url: https://en.wikipedia.org/wiki/Superspreader\n",
            "\n",
            "\n",
            "\n",
            "query: What are the notable pandemic prevention organizations?\n",
            "\n",
            "\t title: Pandemic prevention, score: 143.19728, url: https://en.wikipedia.org/wiki/Pandemic_prevention\n",
            "\t title: Targeted immunization strategies, score: 101.35717, url: https://en.wikipedia.org/wiki/Targeted_immunization_strategies\n",
            "\t title: Pandemic Severity Assessment Framework, score: 95.019714, url: https://en.wikipedia.org/wiki/Pandemic_Severity_Assessment_Framework\n",
            "\n",
            "\n",
            "\n",
            "query: How many leprosy outbreaks are known to happen?\n",
            "\n",
            "\t title: Swine influenza, score: 79.76904, url: https://en.wikipedia.org/wiki/Swine_influenza\n",
            "\t title: Cholera, score: 74.89986, url: https://en.wikipedia.org/wiki/Cholera\n",
            "\t title: HIV/AIDS, score: 73.17815, url: https://en.wikipedia.org/wiki/HIV/AIDS\n",
            "\n",
            "\n",
            "\n",
            "query: What are the geographic areas with the highest transmission of malaria?\n",
            "\n",
            "\t title: Targeted immunization strategies, score: 64.99932, url: https://en.wikipedia.org/wiki/Targeted_immunization_strategies\n",
            "\t title: Pandemic prevention, score: 64.044785, url: https://en.wikipedia.org/wiki/Pandemic_prevention\n",
            "\t title: Swine influenza, score: 61.27727, url: https://en.wikipedia.org/wiki/Swine_influenza\n",
            "\n",
            "\n",
            "\n",
            "query: How to prevent the spread of viral infections?\n",
            "\n",
            "\t title: Targeted immunization strategies, score: 107.90616, url: https://en.wikipedia.org/wiki/Targeted_immunization_strategies\n",
            "\t title: Pandemic prevention, score: 101.983795, url: https://en.wikipedia.org/wiki/Pandemic_prevention\n",
            "\t title: HIV/AIDS, score: 100.28337, url: https://en.wikipedia.org/wiki/HIV/AIDS\n",
            "\n",
            "\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "with open('index.pickle', 'wb') as f:\n",
        "  pickle.dump(index, f)"
      ],
      "metadata": {
        "id": "eDSpodsQVuiq"
      },
      "execution_count": 134,
      "outputs": []
    }
  ]
}