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      "source": [
        "!pip install faiss-cpu\n",
        "!pip install transformers\n",
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        "id": "o_hiAuGgkTCL"
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        "import faiss\n",
        "import torch\n",
        "import pickle\n",
        "import json\n",
        "import numpy as np\n",
        "from transformers import AutoModelForQuestionAnswering, AutoTokenizer\n",
        "from sentence_transformers import SentenceTransformer"
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        "with open('index.pickle', 'rb') as f:\n",
        "  index = pickle.load(f)\n",
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        "with open('data.json', 'r') as f:\n",
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        "model_name = 'deepset/minilm-uncased-squad2'\n",
        "\n",
        "reader_model = AutoModelForQuestionAnswering.from_pretrained(model_name)\n",
        "reader_tokenizer = AutoTokenizer.from_pretrained(model_name)"
      ],
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        "colab": {
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      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def retriever(query: str, k=1):\n",
        "  encoded_query = np.array([retriever_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",
        "  return list(zip(results, scores))"
      ],
      "metadata": {
        "id": "-Ak4iMBolpqB"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "q = \"What are the notable pandemic prevention organizations?\"\n",
        "r = retriever(q, k=3)[0][0]['text']"
      ],
      "metadata": {
        "id": "rFDDFSsmsTbK"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from transformers import pipeline\n",
        " \n",
        "reader = pipeline('question-answering', model=reader_model, tokenizer=reader_tokenizer)"
      ],
      "metadata": {
        "id": "y27qr07TyvJY"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "reader({'question': q, 'context': r})"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-uPTLy6h0HSZ",
        "outputId": "d696cefc-3480-4018-97d6-b2fb467ba6af"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'answer': 'pandemic preparedness or pandemic mitigation',\n",
              " 'end': 310,\n",
              " 'score': 0.6223045587539673,\n",
              " 'start': 266}"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def retriver_reader(query: str, k=1):\n",
        "  for a in retriever(query, k):\n",
        "    context = a[0]['text']\n",
        "    answer = reader({'question': q, 'context': context})['answer']\n",
        "    a[0].update({'answer': answer})\n",
        "    yield a\n",
        "\n",
        "list(retriver_reader('What are the notable pandemic prevention organizations?', 5))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "l-53BtLeaMJY",
        "outputId": "815cd929-143d-404d-a204-d706bb40cd79"
      },
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[({'answer': 'pandemic preparedness or pandemic mitigation',\n",
              "   'text': 'Pandemic prevention is the organization and management of preventive measures against pandemics. Those include measures to reduce causes of new infectious diseases and measures to prevent outbreaks and epidemics from becoming pandemics.\\nIt is not to be mistaken for pandemic preparedness or pandemic mitigation which largely seek to mitigate the magnitude of negative effects of pandemics and may overlap with pandemic prevention in some respects.',\n",
              "   'title': 'Pandemic prevention',\n",
              "   'url': 'https://en.wikipedia.org/wiki/Pandemic_prevention'},\n",
              "  143.19728),\n",
              " ({'answer': 'healthcare practices and the administration of vaccines',\n",
              "   'text': 'Targeted immunization strategies are approaches designed to increase the immunization level of populations and decrease the chances of epidemic outbreaks. Though often in regards to use in healthcare practices and the administration of vaccines to prevent biological epidemic outbreaks, these strategies refer in general to immunization schemes in complex networks, biological, social or artificial in nature. Identification of at-risk groups and individuals with higher odds of spreading the disease often plays an important role in these strategies.',\n",
              "   'title': 'Targeted immunization strategies',\n",
              "   'url': 'https://en.wikipedia.org/wiki/Targeted_immunization_strategies'},\n",
              "  101.35717),\n",
              " ({'answer': 'The United States Centers for Disease Control and Prevention',\n",
              "   'text': \"The Pandemic Severity Assessment Framework (PSAF) is an evaluation framework which uses quadrants to evaluate both the transmissibility and clinical severity of a pandemic and to combine these into an overall impact estimate.\\nClinical severity is calculated via multiple measures including case fatality rate, case-hospitalization ratios, and deaths-hospitalizations ratios, while viral transmissibility is measured via available data among secondary household attack rates, school attack rates, workplace attack rates, community attack rates, rates of emergency department and outpatient visits for influenza-like illness.The PSAF superseded the 2007 linear Pandemic Severity Index (PSI), which assumed 30% spread and measured case fatality rate (CFR) to assess the severity and evolution of the pandemic. The United States Centers for Disease Control and Prevention (CDC) adopted the PSAF as its official pandemic severity assessment tool in 2014, and it was the official pandemic severity assessment tool listed in the CDC's National Pandemic Strategy at the time of the COVID-19 pandemic.\",\n",
              "   'title': 'Pandemic Severity Assessment Framework',\n",
              "   'url': 'https://en.wikipedia.org/wiki/Pandemic_Severity_Assessment_Framework'},\n",
              "  95.019714),\n",
              " ({'answer': 'HIV/AIDS.',\n",
              "   'text': 'A pandemic (from Greek πᾶν, pan, \"all\" and δῆμος, demos, \"people\") is an epidemic of an infectious disease that has spread across a large region, for instance multiple continents or worldwide, affecting a substantial number of people. A widespread endemic disease with a stable number of infected people is not a pandemic. Widespread endemic diseases with a stable number of infected people such as recurrences of seasonal influenza are generally excluded as they occur simultaneously in large regions of the globe rather than being spread worldwide.\\nThroughout human history, there have been a number of pandemics of diseases such as smallpox and tuberculosis. The most fatal pandemic in recorded history was the Black Death (also known as The Plague), which killed an estimated 75–200 million people in the 14th century. The term was not used yet but was for later pandemics including the 1918 influenza pandemic (Spanish flu). Current pandemics include COVID-19 (SARS-CoV-2) and HIV/AIDS.',\n",
              "   'title': 'Pandemic',\n",
              "   'url': 'https://en.wikipedia.org/wiki/Pandemic'},\n",
              "  89.48584),\n",
              " ({'answer': 'PREDICT',\n",
              "   'text': 'PREDICT was an epidemiological research program funded by a United States Agency for International Development (USAID) grant.  Launched in 2009, the program was described as an early warning pandemic system.',\n",
              "   'title': 'PREDICT (USAID)',\n",
              "   'url': 'https://en.wikipedia.org/wiki/PREDICT_(USAID)'},\n",
              "  86.439026)]"
            ]
          },
          "metadata": {},
          "execution_count": 37
        }
      ]
    }
  ]
}