PDF_Summarization_using_Langchain_and_Gradio.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "## Summarization Architecture![xxxxxx.drawio.png](data:image/png;base64,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)"
      ],
      "metadata": {
        "id": "f8ZGtq3QsawX"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install -q gradio openai pypdf tiktoken langchain"
      ],
      "metadata": {
        "id": "Cnhkx-S-sXp6",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "f71ce330-b066-43f5-8126-124636d8ccf8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m16.5/16.5 MB\u001b[0m \u001b[31m48.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m221.5/221.5 kB\u001b[0m \u001b[31m27.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m277.9/277.9 kB\u001b[0m \u001b[31m23.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.0/2.0 MB\u001b[0m \u001b[31m60.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.0/2.0 MB\u001b[0m \u001b[31m89.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m92.9/92.9 kB\u001b[0m \u001b[31m12.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m302.9/302.9 kB\u001b[0m \u001b[31m37.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m75.0/75.0 kB\u001b[0m \u001b[31m11.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m138.7/138.7 kB\u001b[0m \u001b[31m20.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m381.9/381.9 kB\u001b[0m \u001b[31m32.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m45.7/45.7 kB\u001b[0m \u001b[31m2.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m59.7/59.7 kB\u001b[0m \u001b[31m7.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m129.9/129.9 kB\u001b[0m \u001b[31m7.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m181.5/181.5 kB\u001b[0m \u001b[31m21.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m48.2/48.2 kB\u001b[0m \u001b[31m5.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m49.4/49.4 kB\u001b[0m \u001b[31m6.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m76.9/76.9 kB\u001b[0m \u001b[31m10.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m58.3/58.3 kB\u001b[0m \u001b[31m8.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.1/2.1 MB\u001b[0m \u001b[31m86.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m67.0/67.0 kB\u001b[0m \u001b[31m9.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Building wheel for ffmpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "lida 0.0.10 requires kaleido, which is not installed.\n",
            "llmx 0.0.15a0 requires cohere, which is not installed.\n",
            "tensorflow-probability 0.22.0 requires typing-extensions<4.6.0, but you have typing-extensions 4.9.0 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0m"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount(\"/content/drive\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rtAazMU53DhB",
        "outputId": "8c97521d-ec70-4996-90a6-d6a23fb4af79"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import sys\n",
        "sys.path.append(\"/content/drive/MyDrive\")"
      ],
      "metadata": {
        "id": "DiEddkJd3OPe"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from constant_keys import *\n",
        "import os\n",
        "os.environ[\"OPENAI_API_KEY\"] = OPENAI_API_KEY"
      ],
      "metadata": {
        "id": "BerzC8bH3XGl"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "import gradio as gr\n",
        "from langchain import OpenAI, PromptTemplate\n",
        "from langchain.chains.summarize import load_summarize_chain"
      ],
      "metadata": {
        "id": "ybZtT-l33lM-"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from langchain.document_loaders import PyPDFLoader\n",
        "from langchain.text_splitter import RecursiveCharacterTextSplitter"
      ],
      "metadata": {
        "id": "Ihax-CJs35SH"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!wget https://www.who.int/docs/default-source/coronaviruse/risk-comms-updates/update-28-covid-19-what-we-know.pdf"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-y8DO4gg35Ub",
        "outputId": "7a48657e-cc41-4e17-9d14-df328c18b3cb"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "--2023-12-10 13:18:03--  https://www.who.int/docs/default-source/coronaviruse/risk-comms-updates/update-28-covid-19-what-we-know.pdf\n",
            "Resolving www.who.int (www.who.int)... 104.18.155.21, 104.18.156.21, 2606:4700::6812:9c15, ...\n",
            "Connecting to www.who.int (www.who.int)|104.18.155.21|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 1764636 (1.7M) [application/pdf]\n",
            "Saving to: ‘update-28-covid-19-what-we-know.pdf’\n",
            "\n",
            "update-28-covid-19- 100%[===================>]   1.68M  2.61MB/s    in 0.6s    \n",
            "\n",
            "2023-12-10 13:18:04 (2.61 MB/s) - ‘update-28-covid-19-what-we-know.pdf’ saved [1764636/1764636]\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "loader = PyPDFLoader(\"/content/update-28-covid-19-what-we-know.pdf\")"
      ],
      "metadata": {
        "id": "P-XHLzC435Wg"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "docs = loader.load()"
      ],
      "metadata": {
        "id": "oZOaZeCS3lQ1"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "docs"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9UmKZMZS3lda",
        "outputId": "d0d8cc81-0ba2-49d0-a364-0beff38c38e8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[Document(page_content=\"The picture can't be displayed.\\nThe picture can't be displayed.\\nWhat is COVID-19•COVID-19 is the infectious disease caused by the most recently discovered coronavirus1•This new virus and disease were unknown before the outbreak began in Wuhan, China, in December 2019•COVID-19 is now a pandemic affecting many countries globally\\n1https://www.who.int/emergencies/diseases/novel-coronavirus-2019/question-and-answers-hub/q-a-detail/q-a-coronaviruses\", metadata={'source': '/content/update-28-covid-19-what-we-know.pdf', 'page': 0}),\n",
              " Document(page_content=\"The picture can't be displayed.\\nThe picture can't be displayed.\\nImmunityPersonal measures Disease specificationsTesting TransmissionRisk groups Treatment Social & economicimpactContents\\nThe picture can't be displayed.\\nThe picture can't be displayed.\\nThe picture can't be displayed.\\nThe picture can't be displayed.\\nThe picture can't be displayed.\\nThe picture can't be displayed.\\nThe picture can't be displayed.\\nThe picture can't be displayed.\\nThe picture can't be displayed.Super Spreading EventsOrigin of the virus SymptomsPublic health measures \\nThe picture can't be displayed.\", metadata={'source': '/content/update-28-covid-19-what-we-know.pdf', 'page': 1}),\n",
              " Document(page_content=\"The picture can't be displayed.\\nThe picture can't be displayed.\\nOrigin of the virus\\nThe source is most likely a virus spillover from an intermediary animal host into human populations[2]\\nThe first known human case had onset of symptoms from 1st December and has not been linked to the suspected market in Wuhan, China. Cases may have occurred as far back as mid-November or earlier. \\nEnvironmental samples taken in the market were positive for the virus, concentrated in the area where wild and farmed animal trade was present\\nThe market could be the origin of the virus or played a role as an amplifying setting for the initial spread2https://doi.org/10.1016/S0140-6736(20)30251-8Origin of the virus: 1/1\", metadata={'source': '/content/update-28-covid-19-what-we-know.pdf', 'page': 2}),\n",
              " Document(page_content=\"The picture can't be displayed.\\nThe picture can't be displayed.\\nSymptoms \\nSymptoms: 1/1\", metadata={'source': '/content/update-28-covid-19-what-we-know.pdf', 'page': 3}),\n",
              " Document(page_content=\"The picture can't be displayed.\\nThe picture can't be displayed.\\nTransmission \\nTransmission: 1/2\\nCOVID-19 is spread primarily from person to person through small droplets from the nose or mouth, expelled when a person with COVID-19 coughs or sneezes. People can catch COVID-19 if they breathe in these droplets, or by touching objects or surfaces where the droplets have landed, then their face. \\nThe time between infection and first symptoms (incubation period) ranges from 1 to 14 days, with an average of 5 to 6 days. More than 97% of people experience symptoms within 14 days. \\nSource:ID card\\n\", metadata={'source': '/content/update-28-covid-19-what-we-know.pdf', 'page': 4}),\n",
              " Document(page_content=\"The picture can't be displayed.\\nThe picture can't be displayed.\\nTransmission\\nTransmission: 2/2\\nActive viral replication occurs in the upper respiratory tract and lungs. Early studies indicate that the virus replicates in the gastrointestinal tract but faecal-oral transmission has not been confirmed \\nPeak viral shedding seems to occur at the time of symptom onset and declines thereafter\\nPre-symptomatic transmission is likely to occur. However, the absence of a cough (a key mechanism for viral expulsion) may limit transmission.Source:ID cardViral shedding\\n\", metadata={'source': '/content/update-28-covid-19-what-we-know.pdf', 'page': 5}),\n",
              " Document(page_content=\"The picture can't be displayed.\\nThe picture can't be displayed.\\nSuper-spreading events\\nMass-gatherings\\nAgeing population\\nDisplaced populations\\nInternational exposure\\nDensity of urban areas\\nWeak public health systems\\nLack of government transparency\\nLack of press freedomSuper-spreading events occur with a single person transmits the virus to an unusually large number of people. Aggravating situations that may contribute to a super-spreading event include:\\nSuper-spreading events:1/1\", metadata={'source': '/content/update-28-covid-19-what-we-know.pdf', 'page': 6}),\n",
              " Document(page_content=\"The picture can't be displayed.\\nThe picture can't be displayed.\\nDisease specifications: reproductive rate, severity\\nBasic Reproductive Rate (R0) is the averagenumber of people infected by one personin a susceptible population. R0 for COVID-19 is estimated to be between 2 and 4 \\nClinical Onset Interval is the time between onset of symptomsin successive cases in a chain of transmission.  In most studies, the average time is between 4 and 5 days\\nCase Fatality Ratio (CFR)is the proportion of episodes of illness that are fatal. The global crude CFR is 7% (Dec 2019-May 2020)\\nSource:ID card \\nDisease specifications: 1/1\", metadata={'source': '/content/update-28-covid-19-what-we-know.pdf', 'page': 7}),\n",
              " Document(page_content=\"The picture can't be displayed.\\nThe picture can't be displayed.\\nRisk groupsRisk of severe disease increases with ageand in those with underlying medical conditionssuch as hypertension, diabetes, cardiovascular disease, chronic respiratory disease & cancerContact studies indicate children and young adultsdo become infected, andcan transmit infection. However, children rarely progress to serious illnessLOW RISKHIGH RISK\\nRisk groups: 1/1\", metadata={'source': '/content/update-28-covid-19-what-we-know.pdf', 'page': 8}),\n",
              " Document(page_content=\"The picture can't be displayed.\\nThe picture can't be displayed.\\nImmunityShort-term: \\nAntibodies to COVID-19 (both IgG and IgM) appear 6 to 12 days after symptom onset, after which there is a slow, steady decline in viral load \\nPatients may still be infectious after they improve clinically. This has implications for infection, prevention and control in healthcare facilities and hospital discharges. Some patients may require further home isolation after being disharched from hospital.Long-term: \\nCurrently, there is not enough evidence about the effectiveness or duration of antibody-mediated immunity to guarantee the accuracy of an “immunity passport” or “risk-free certificate.”\\nThere is a concern, that people may assume they are immune to a second infection and ignore public health advice, increasing the risk of continued trasnmission [3]3https://www.who.int/news-room/commentaries/detail/immunity-passports-in-the-context-of-covid-19Immunity: 1/2\", metadata={'source': '/content/update-28-covid-19-what-we-know.pdf', 'page': 9}),\n",
              " Document(page_content=\"The picture can't be displayed.\\nThe picture can't be displayed.\\nImmunity: 2/2Source:ID card\\nImmunity\", metadata={'source': '/content/update-28-covid-19-what-we-know.pdf', 'page': 10}),\n",
              " Document(page_content=\"The picture can't be displayed.\\nThe picture can't be displayed.\\nTesting\\nNucleic Acid Amplification Tests (NAATs)are used to diagnose current infection (presence of virus) during the acute phase of disease. NAAT test time is between 13 minutes and 3 hours and require specific instrumentation. \\nAntibody detection tests detect IgG and IgM antibodies against the virus. Not useful for diagnosis as an antibody response is not detectable in the first week of illness. Test time is approximately 15 minutes and could be used to detect those who have had prior infection. Population-based serological studies are ongoing in 6 countries.\\nAntigen detection tests detect viral antigens and could be useful for diagnosis of acute infection. Test development is ongoing in many countries.Source:ID cardNo diagnostic tests are currently licenesd for COVID-19 except under emergency use regulations. All are under evaluation \\nTesting: 1/1\", metadata={'source': '/content/update-28-covid-19-what-we-know.pdf', 'page': 11}),\n",
              " Document(page_content=\"The picture can't be displayed.\\nThe picture can't be displayed.\\nTreatment\\nCurrently, there are no antiviral drugs licensed for treating COVID-19. Research is ongoing to determine if existing drugs can be re-purposed to effectively treat COVID-19\\nWHO is coordinating the large multi-country Solidarity Trialto evaluate four promising candidate drugs/regimens:\\nSource:ID card\\nTreatment: 1/1\", metadata={'source': '/content/update-28-covid-19-what-we-know.pdf', 'page': 12}),\n",
              " Document(page_content=\"The picture can't be displayed.\\nThe picture can't be displayed.\\nPersonal measures\\nHand and respiratory hygiene is important at ALL times and is the best way to protect yourself and others\\nWhen possible maintain at least 1 meter distance between yourself and others.  Some infected persons may not be exhibiting symptoms or their symptoms may be mild so maintaining a physical distance with everyone is important if you are in an area where COVID-19 is circulating [4]4https://www.who.int/emergencies/diseases/novel-coronavirus-2019/question-and-answers-hub/q-a-detail/q-a-coronaviruses\\nPersonal measures: 1/1\", metadata={'source': '/content/update-28-covid-19-what-we-know.pdf', 'page': 13}),\n",
              " Document(page_content=\"The picture can't be displayed.\\nThe picture can't be displayed.\\nPublic health measuresQuarantinemeans restricting activities or separating people who are not ill but may have been exposed to COVID-19. The goal is to prevent the spread of disease if or when people develop symptoms [5]Isolationmeans separating people who are ill with symptoms of COVID-19 and may be infectious to prevent the spread of the disease.Physical distancingmeans being physically apart. WHO recommends keeping at least 1-metre distance from others. This is a general measure that everyone should take even if they are well.Contact tracinghelps to identifyindividuals who may have been exposed to COVID-19 in order to quickly isolate them. \\n5https://www.who.int/emergencies/diseases/novel-coronavirus-2019/question-and-answers-hub/q-a-detail/q-a-coronavirusesPublic health measures: 1/1\", metadata={'source': '/content/update-28-covid-19-what-we-know.pdf', 'page': 14}),\n",
              " Document(page_content=\"The picture can't be displayed.\\nThe picture can't be displayed.\\nSocial and economic impact\\nThe COVID-19 pandemic and the assoicated economic crisis poses huge global and local challenges \\nThe health, social and economic impact has affected all segments of the population but is particularly detrimental to social groups in vulnerable situations including; people living in poverty, older persons, persons with disabilities, youth, and indigenous peoples [6]. \\nEpidemics and economic crises have a disproportionate impact on these vulnerable groups, which can trigger worsening inequality and poverty\\nThe global crises requires coordination, solidarity, and effective socio-economic and public health policy6https://www.un.org/development/desa/dspd/2020/04/social-impact-of-covid-19/Social and economic impact: 1/1\", metadata={'source': '/content/update-28-covid-19-what-we-know.pdf', 'page': 15}),\n",
              " Document(page_content=\"The picture can't be displayed.\\nThe picture can't be displayed.\\nInformation resourcesWHO WhatsApp messaging serviceReceive the latest news and information on COVID-19. To subscribe:text 'hi' to +41 79 893 1892New EPI-WIN websiteAccess to timely, accurate, and easy-to-understand advice and information from trusted sourceswww.who.int/epi-winOther Chat Bot Links:ViberFacebook Messenger\\n\", metadata={'source': '/content/update-28-covid-19-what-we-know.pdf', 'page': 16}),\n",
              " Document(page_content=\"The picture can't be displayed.\\nThe picture can't be displayed.\\n\", metadata={'source': '/content/update-28-covid-19-what-we-know.pdf', 'page': 17})]"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "text_splitter = RecursiveCharacterTextSplitter(chunk_size=1000, chunk_overlap=200)"
      ],
      "metadata": {
        "id": "gmv04Br-4afg"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "texts = text_splitter.split_documents(docs)"
      ],
      "metadata": {
        "id": "kmex5CCp4dVI"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "len(texts)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JA6uKtMM4dXs",
        "outputId": "fb17e451-2134-4d3e-a811-f2826e2e83e6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "18"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "llm = OpenAI()"
      ],
      "metadata": {
        "id": "Rp0FYQhy45wL"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "chain = load_summarize_chain(llm, chain_type=\"map_reduce\", verbose=True)"
      ],
      "metadata": {
        "id": "Yw8vB1AE48r4"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "chain.run(texts)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "J5TcW9Jh5INL",
        "outputId": "9fa56231-2727-42d3-d05f-c62dedf10516"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "\n",
            "\u001b[1m> Entering new MapReduceDocumentsChain chain...\u001b[0m\n",
            "\n",
            "\n",
            "\u001b[1m> Entering new LLMChain chain...\u001b[0m\n",
            "Prompt after formatting:\n",
            "\u001b[32;1m\u001b[1;3mWrite a concise summary of the following:\n",
            "\n",
            "\n",
            "\"The picture can't be displayed.\n",
            "The picture can't be displayed.\n",
            "What is COVID-19•COVID-19 is the infectious disease caused by the most recently discovered coronavirus1•This new virus and disease were unknown before the outbreak began in Wuhan, China, in December 2019•COVID-19 is now a pandemic affecting many countries globally\n",
            "1https://www.who.int/emergencies/diseases/novel-coronavirus-2019/question-and-answers-hub/q-a-detail/q-a-coronaviruses\"\n",
            "\n",
            "\n",
            "CONCISE SUMMARY:\u001b[0m\n",
            "Prompt after formatting:\n",
            "\u001b[32;1m\u001b[1;3mWrite a concise summary of the following:\n",
            "\n",
            "\n",
            "\"The picture can't be displayed.\n",
            "The picture can't be displayed.\n",
            "ImmunityPersonal measures Disease specificationsTesting TransmissionRisk groups Treatment Social & economicimpactContents\n",
            "The picture can't be displayed.\n",
            "The picture can't be displayed.\n",
            "The picture can't be displayed.\n",
            "The picture can't be displayed.\n",
            "The picture can't be displayed.\n",
            "The picture can't be displayed.\n",
            "The picture can't be displayed.\n",
            "The picture can't be displayed.\n",
            "The picture can't be displayed.Super Spreading EventsOrigin of the virus SymptomsPublic health measures \n",
            "The picture can't be displayed.\"\n",
            "\n",
            "\n",
            "CONCISE SUMMARY:\u001b[0m\n",
            "Prompt after formatting:\n",
            "\u001b[32;1m\u001b[1;3mWrite a concise summary of the following:\n",
            "\n",
            "\n",
            "\"The picture can't be displayed.\n",
            "The picture can't be displayed.\n",
            "Origin of the virus\n",
            "The source is most likely a virus spillover from an intermediary animal host into human populations[2]\n",
            "The first known human case had onset of symptoms from 1st December and has not been linked to the suspected market in Wuhan, China. Cases may have occurred as far back as mid-November or earlier. \n",
            "Environmental samples taken in the market were positive for the virus, concentrated in the area where wild and farmed animal trade was present\n",
            "The market could be the origin of the virus or played a role as an amplifying setting for the initial spread2https://doi.org/10.1016/S0140-6736(20)30251-8Origin of the virus: 1/1\"\n",
            "\n",
            "\n",
            "CONCISE SUMMARY:\u001b[0m\n",
            "Prompt after formatting:\n",
            "\u001b[32;1m\u001b[1;3mWrite a concise summary of the following:\n",
            "\n",
            "\n",
            "\"The picture can't be displayed.\n",
            "The picture can't be displayed.\n",
            "Symptoms \n",
            "Symptoms: 1/1\"\n",
            "\n",
            "\n",
            "CONCISE SUMMARY:\u001b[0m\n",
            "Prompt after formatting:\n",
            "\u001b[32;1m\u001b[1;3mWrite a concise summary of the following:\n",
            "\n",
            "\n",
            "\"The picture can't be displayed.\n",
            "The picture can't be displayed.\n",
            "Transmission \n",
            "Transmission: 1/2\n",
            "COVID-19 is spread primarily from person to person through small droplets from the nose or mouth, expelled when a person with COVID-19 coughs or sneezes. People can catch COVID-19 if they breathe in these droplets, or by touching objects or surfaces where the droplets have landed, then their face. \n",
            "The time between infection and first symptoms (incubation period) ranges from 1 to 14 days, with an average of 5 to 6 days. More than 97% of people experience symptoms within 14 days. \n",
            "Source:ID card\"\n",
            "\n",
            "\n",
            "CONCISE SUMMARY:\u001b[0m\n",
            "Prompt after formatting:\n",
            "\u001b[32;1m\u001b[1;3mWrite a concise summary of the following:\n",
            "\n",
            "\n",
            "\"The picture can't be displayed.\n",
            "The picture can't be displayed.\n",
            "Transmission\n",
            "Transmission: 2/2\n",
            "Active viral replication occurs in the upper respiratory tract and lungs. Early studies indicate that the virus replicates in the gastrointestinal tract but faecal-oral transmission has not been confirmed \n",
            "Peak viral shedding seems to occur at the time of symptom onset and declines thereafter\n",
            "Pre-symptomatic transmission is likely to occur. However, the absence of a cough (a key mechanism for viral expulsion) may limit transmission.Source:ID cardViral shedding\"\n",
            "\n",
            "\n",
            "CONCISE SUMMARY:\u001b[0m\n",
            "Prompt after formatting:\n",
            "\u001b[32;1m\u001b[1;3mWrite a concise summary of the following:\n",
            "\n",
            "\n",
            "\"The picture can't be displayed.\n",
            "The picture can't be displayed.\n",
            "Super-spreading events\n",
            "Mass-gatherings\n",
            "Ageing population\n",
            "Displaced populations\n",
            "International exposure\n",
            "Density of urban areas\n",
            "Weak public health systems\n",
            "Lack of government transparency\n",
            "Lack of press freedomSuper-spreading events occur with a single person transmits the virus to an unusually large number of people. Aggravating situations that may contribute to a super-spreading event include:\n",
            "Super-spreading events:1/1\"\n",
            "\n",
            "\n",
            "CONCISE SUMMARY:\u001b[0m\n",
            "Prompt after formatting:\n",
            "\u001b[32;1m\u001b[1;3mWrite a concise summary of the following:\n",
            "\n",
            "\n",
            "\"The picture can't be displayed.\n",
            "The picture can't be displayed.\n",
            "Disease specifications: reproductive rate, severity\n",
            "Basic Reproductive Rate (R0) is the averagenumber of people infected by one personin a susceptible population. R0 for COVID-19 is estimated to be between 2 and 4 \n",
            "Clinical Onset Interval is the time between onset of symptomsin successive cases in a chain of transmission.  In most studies, the average time is between 4 and 5 days\n",
            "Case Fatality Ratio (CFR)is the proportion of episodes of illness that are fatal. The global crude CFR is 7% (Dec 2019-May 2020)\n",
            "Source:ID card \n",
            "Disease specifications: 1/1\"\n",
            "\n",
            "\n",
            "CONCISE SUMMARY:\u001b[0m\n",
            "Prompt after formatting:\n",
            "\u001b[32;1m\u001b[1;3mWrite a concise summary of the following:\n",
            "\n",
            "\n",
            "\"The picture can't be displayed.\n",
            "The picture can't be displayed.\n",
            "Risk groupsRisk of severe disease increases with ageand in those with underlying medical conditionssuch as hypertension, diabetes, cardiovascular disease, chronic respiratory disease & cancerContact studies indicate children and young adultsdo become infected, andcan transmit infection. However, children rarely progress to serious illnessLOW RISKHIGH RISK\n",
            "Risk groups: 1/1\"\n",
            "\n",
            "\n",
            "CONCISE SUMMARY:\u001b[0m\n",
            "Prompt after formatting:\n",
            "\u001b[32;1m\u001b[1;3mWrite a concise summary of the following:\n",
            "\n",
            "\n",
            "\"The picture can't be displayed.\n",
            "The picture can't be displayed.\n",
            "ImmunityShort-term: \n",
            "Antibodies to COVID-19 (both IgG and IgM) appear 6 to 12 days after symptom onset, after which there is a slow, steady decline in viral load \n",
            "Patients may still be infectious after they improve clinically. This has implications for infection, prevention and control in healthcare facilities and hospital discharges. Some patients may require further home isolation after being disharched from hospital.Long-term: \n",
            "Currently, there is not enough evidence about the effectiveness or duration of antibody-mediated immunity to guarantee the accuracy of an “immunity passport” or “risk-free certificate.”\n",
            "There is a concern, that people may assume they are immune to a second infection and ignore public health advice, increasing the risk of continued trasnmission [3]3https://www.who.int/news-room/commentaries/detail/immunity-passports-in-the-context-of-covid-19Immunity: 1/2\"\n",
            "\n",
            "\n",
            "CONCISE SUMMARY:\u001b[0m\n",
            "Prompt after formatting:\n",
            "\u001b[32;1m\u001b[1;3mWrite a concise summary of the following:\n",
            "\n",
            "\n",
            "\"The picture can't be displayed.\n",
            "The picture can't be displayed.\n",
            "Immunity: 2/2Source:ID card\n",
            "Immunity\"\n",
            "\n",
            "\n",
            "CONCISE SUMMARY:\u001b[0m\n",
            "Prompt after formatting:\n",
            "\u001b[32;1m\u001b[1;3mWrite a concise summary of the following:\n",
            "\n",
            "\n",
            "\"The picture can't be displayed.\n",
            "The picture can't be displayed.\n",
            "Testing\n",
            "Nucleic Acid Amplification Tests (NAATs)are used to diagnose current infection (presence of virus) during the acute phase of disease. NAAT test time is between 13 minutes and 3 hours and require specific instrumentation. \n",
            "Antibody detection tests detect IgG and IgM antibodies against the virus. Not useful for diagnosis as an antibody response is not detectable in the first week of illness. Test time is approximately 15 minutes and could be used to detect those who have had prior infection. Population-based serological studies are ongoing in 6 countries.\n",
            "Antigen detection tests detect viral antigens and could be useful for diagnosis of acute infection. Test development is ongoing in many countries.Source:ID cardNo diagnostic tests are currently licenesd for COVID-19 except under emergency use regulations. All are under evaluation \n",
            "Testing: 1/1\"\n",
            "\n",
            "\n",
            "CONCISE SUMMARY:\u001b[0m\n",
            "Prompt after formatting:\n",
            "\u001b[32;1m\u001b[1;3mWrite a concise summary of the following:\n",
            "\n",
            "\n",
            "\"The picture can't be displayed.\n",
            "The picture can't be displayed.\n",
            "Treatment\n",
            "Currently, there are no antiviral drugs licensed for treating COVID-19. Research is ongoing to determine if existing drugs can be re-purposed to effectively treat COVID-19\n",
            "WHO is coordinating the large multi-country Solidarity Trialto evaluate four promising candidate drugs/regimens:\n",
            "Source:ID card\n",
            "Treatment: 1/1\"\n",
            "\n",
            "\n",
            "CONCISE SUMMARY:\u001b[0m\n",
            "Prompt after formatting:\n",
            "\u001b[32;1m\u001b[1;3mWrite a concise summary of the following:\n",
            "\n",
            "\n",
            "\"The picture can't be displayed.\n",
            "The picture can't be displayed.\n",
            "Personal measures\n",
            "Hand and respiratory hygiene is important at ALL times and is the best way to protect yourself and others\n",
            "When possible maintain at least 1 meter distance between yourself and others.  Some infected persons may not be exhibiting symptoms or their symptoms may be mild so maintaining a physical distance with everyone is important if you are in an area where COVID-19 is circulating [4]4https://www.who.int/emergencies/diseases/novel-coronavirus-2019/question-and-answers-hub/q-a-detail/q-a-coronaviruses\n",
            "Personal measures: 1/1\"\n",
            "\n",
            "\n",
            "CONCISE SUMMARY:\u001b[0m\n",
            "Prompt after formatting:\n",
            "\u001b[32;1m\u001b[1;3mWrite a concise summary of the following:\n",
            "\n",
            "\n",
            "\"The picture can't be displayed.\n",
            "The picture can't be displayed.\n",
            "Public health measuresQuarantinemeans restricting activities or separating people who are not ill but may have been exposed to COVID-19. The goal is to prevent the spread of disease if or when people develop symptoms [5]Isolationmeans separating people who are ill with symptoms of COVID-19 and may be infectious to prevent the spread of the disease.Physical distancingmeans being physically apart. WHO recommends keeping at least 1-metre distance from others. This is a general measure that everyone should take even if they are well.Contact tracinghelps to identifyindividuals who may have been exposed to COVID-19 in order to quickly isolate them. \n",
            "5https://www.who.int/emergencies/diseases/novel-coronavirus-2019/question-and-answers-hub/q-a-detail/q-a-coronavirusesPublic health measures: 1/1\"\n",
            "\n",
            "\n",
            "CONCISE SUMMARY:\u001b[0m\n",
            "Prompt after formatting:\n",
            "\u001b[32;1m\u001b[1;3mWrite a concise summary of the following:\n",
            "\n",
            "\n",
            "\"The picture can't be displayed.\n",
            "The picture can't be displayed.\n",
            "Social and economic impact\n",
            "The COVID-19 pandemic and the assoicated economic crisis poses huge global and local challenges \n",
            "The health, social and economic impact has affected all segments of the population but is particularly detrimental to social groups in vulnerable situations including; people living in poverty, older persons, persons with disabilities, youth, and indigenous peoples [6]. \n",
            "Epidemics and economic crises have a disproportionate impact on these vulnerable groups, which can trigger worsening inequality and poverty\n",
            "The global crises requires coordination, solidarity, and effective socio-economic and public health policy6https://www.un.org/development/desa/dspd/2020/04/social-impact-of-covid-19/Social and economic impact: 1/1\"\n",
            "\n",
            "\n",
            "CONCISE SUMMARY:\u001b[0m\n",
            "Prompt after formatting:\n",
            "\u001b[32;1m\u001b[1;3mWrite a concise summary of the following:\n",
            "\n",
            "\n",
            "\"The picture can't be displayed.\n",
            "The picture can't be displayed.\n",
            "Information resourcesWHO WhatsApp messaging serviceReceive the latest news and information on COVID-19. To subscribe:text 'hi' to +41 79 893 1892New EPI-WIN websiteAccess to timely, accurate, and easy-to-understand advice and information from trusted sourceswww.who.int/epi-winOther Chat Bot Links:ViberFacebook Messenger\"\n",
            "\n",
            "\n",
            "CONCISE SUMMARY:\u001b[0m\n",
            "Prompt after formatting:\n",
            "\u001b[32;1m\u001b[1;3mWrite a concise summary of the following:\n",
            "\n",
            "\n",
            "\"The picture can't be displayed.\n",
            "The picture can't be displayed.\"\n",
            "\n",
            "\n",
            "CONCISE SUMMARY:\u001b[0m\n",
            "\n",
            "\u001b[1m> Finished chain.\u001b[0m\n",
            "\n",
            "\n",
            "\u001b[1m> Entering new LLMChain chain...\u001b[0m\n",
            "Prompt after formatting:\n",
            "\u001b[32;1m\u001b[1;3mWrite a concise summary of the following:\n",
            "\n",
            "\n",
            "\" COVID-19 is an infectious disease caused by a newly discovered coronavirus first reported in Wuhan, China in December 2019. It has since become a pandemic, affecting countries around the world.\n",
            "\n",
            " This article discusses topics related to the novel coronavirus, such as immunity, disease specifications, testing, transmission, risk groups, treatment, social and economic impact, super spreading events, origin of the virus, symptoms, and public health measures.\n",
            "\n",
            " The source of the virus is likely to have been from a spillover from an intermediary animal host into human populations. The first known human case had symptoms from 1st December and is not linked to a suspected market in Wuhan, China. Environmental samples taken from the market were positive for the virus, and it is possible that the market was the origin of the virus or played a role in the initial spread.\n",
            "\n",
            " The picture cannot be displayed due to a symptom.\n",
            "\n",
            " COVID-19 is spread primarily through small droplets that are expelled when a person with the virus coughs or sneezes. The time between infection and the onset of symptoms ranges from 1 to 14 days, with an average of 5-6 days. 97% of people experience symptoms within 14 days.\n",
            "\n",
            " This article explores active viral replication and the transmission of the virus. It indicates that the virus replicates in the upper respiratory tract and lungs, and that peak viral shedding occurs at the time of symptom onset. Pre-symptomatic transmission is likely, but transmission may be limited due to the absence of coughing, which is a key mechanism for viral expulsion.\n",
            "\n",
            " Super-spreading events are when an individual transmits a virus to an unusually large number of people. Factors that may contribute to a super-spreading event include mass-gatherings, an ageing population, displaced populations, international exposure, density of urban areas, weak public health systems, a lack of government transparency, and a lack of press freedom.\n",
            "\n",
            " This ID card provides information on the disease specifications of Covid-19, including the Basic Reproductive Rate (R0) which is estimated to be between 2 and 4, the Clinical Onset Interval which is an average of 4 to 5 days, and the Case Fatality Ratio (CFR) which is 7% from December 2019 to May 2020.\n",
            "\n",
            " This text discusses risk groups for severe illness due to infection, highlighting that risk increases with age and in those with pre-existing medical conditions. It also notes that children and young adults can be infected and transmit infection, but rarely progress to serious illness.\n",
            "\n",
            " Antibodies to COVID-19 can appear 6-12 days after symptom onset, but there is still a risk of infection even after clinical improvement. Currently, there is not enough evidence to guarantee the effectiveness of an “immunity passport” or “risk-free certificate” as a way to protect people from a second infection.\n",
            "\n",
            " This is an immunity status of two out of two that is indicated by an ID card.\n",
            "\n",
            " Nucleic Acid Amplification Tests (NAATs) are used to diagnose current infection of COVID-19, with a test time of between 13 minutes to 3 hours, while antibody detection tests detect IgG and IgM antibodies against the virus, and antigen detection tests detect viral antigens. All tests are currently under evaluation and are not licensed for COVID-19 except under emergency regulations.\n",
            "\n",
            " Currently, there is no approved antiviral drug to treat COVID-19; however, the World Health Organization is coordinating the Solidarity Trial to research the efficacy of four possible candidate drugs/regimens.\n",
            "\n",
            " To protect yourself and others, it is important to practice hand and respiratory hygiene at all times and to maintain a physical distance from others when possible. This is especially important in areas where COVID-19 is circulating.\n",
            "\n",
            " Public health measures, such as quarantine, isolation, physical distancing and contact tracing, are recommended by the World Health Organization (WHO) to prevent the spread of COVID-19. Quarantine means restricting activities or separating people who are not ill but may have been exposed, while isolation is for separating people who are ill with symptoms of COVID-19. WHO recommends keeping 1-metre distance from others and contact tracing to quickly isolate those who may have been exposed.\n",
            "\n",
            " The COVID-19 pandemic has caused a global economic crisis and has had a disproportionate effect on vulnerable social groups such as people living in poverty, older persons, persons with disabilities, youth, and indigenous peoples. This has led to an increase in inequality and poverty. Therefore, it is important to coordinate and promote solidarity, as well as effective socio-economic and public health policies, to help mitigate these effects.\n",
            "\n",
            " WHO's WhatsApp messaging service offers the latest news and information on COVID-19, and the new EPI-WIN website provides access to reliable advice and information. Additionally, there are Chat Bot links available on Viber and Facebook Messenger.\n",
            "\n",
            " The picture cannot be displayed.\"\n",
            "\n",
            "\n",
            "CONCISE SUMMARY:\u001b[0m\n",
            "\n",
            "\u001b[1m> Finished chain.\u001b[0m\n",
            "\n",
            "\u001b[1m> Finished chain.\u001b[0m\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "' COVID-19 is a pandemic caused by a newly discovered coronavirus which first appeared in Wuhan, China in December 2019. This article discusses topics related to the virus such as its source, transmission, risk groups, treatment, social and economic impact, and public health measures. It also explains the use of tests to diagnose current infection, and offers advice on how to protect oneself from the virus. Finally, the article discusses how the pandemic has led to an increase in inequality and poverty, and provides access to reliable advice and information.'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def summarize_pdf(path):\n",
        "\n",
        "  loader= PyPDFLoader(path)\n",
        "  docs = loader.load()\n",
        "  text_splitter = RecursiveCharacterTextSplitter(chunk_size=1000, chunk_overlap=200)\n",
        "  txts = text_splitter.split_documents(docs)\n",
        "  chain = load_summarize_chain(llm, chain_type=\"map_reduce\")\n",
        "  summary = chain.run(txts)\n",
        "  return summary\n",
        "\n"
      ],
      "metadata": {
        "id": "8fPNewPY5IPa"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "input_pdf_path = gr.components.Textbox(label=\"PDF path\")\n",
        "output_summary = gr.components.Textbox(label=\"Summary\")"
      ],
      "metadata": {
        "id": "NuixA0AR5ISD"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "interface = gr.Interface(\n",
        "    fn = summarize_pdf,\n",
        "    inputs = input_pdf_path,\n",
        "    outputs = output_summary,\n",
        "    title = \"PDF Summarizer\",\n",
        "    description =\"Provide pdf file path to get the summary\"\n",
        ").launch(share=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 609
        },
        "id": "XPJqjTps48uc",
        "outputId": "5118d450-e08c-4378-ce36-d0119e6f04d0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Colab notebook detected. To show errors in colab notebook, set debug=True in launch()\n",
            "Running on public URL: https://2b0129b14bf505dc4d.gradio.live\n",
            "\n",
            "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "<div><iframe src=\"https://2b0129b14bf505dc4d.gradio.live\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "h3Zism0s6s07"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "yQbkB5iB6s3M"
      },
      "execution_count": null,
      "outputs": []
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}