From e41f0e166b61bb39cfa51652cb605a4c9ccb90f0 Mon Sep 17 00:00:00 2001
From: vrindha007 <83335987+vrindha007@users.noreply.github.com>
Date: Sun, 5 May 2024 18:07:45 +0530
Subject: [PATCH 1/3] Add files via upload

---
 Letter.docx         |  Bin 0 -> 293475 bytes
 VRINDHA_K (1).ipynb | 3467 +++++++++++++++++++++++++++++++++++++++++++
 2 files changed, 3467 insertions(+)
 create mode 100644 Letter.docx
 create mode 100644 VRINDHA_K (1).ipynb

diff --git a/Letter.docx b/Letter.docx
new file mode 100644
index 0000000000000000000000000000000000000000..bf16621954b63b078747e9c710a20b4f304c86bc
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diff --git a/VRINDHA_K (1).ipynb b/VRINDHA_K (1).ipynb
new file mode 100644
index 0000000..d00231e
--- /dev/null
+++ b/VRINDHA_K (1).ipynb	
@@ -0,0 +1,3467 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "provenance": []
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    },
+    "widgets": {
+      "application/vnd.jupyter.widget-state+json": {
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+          "model_name": "HBoxModel",
+          "model_module_version": "1.5.0",
+          "state": {
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+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
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+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/controls",
+            "_view_module_version": "1.5.0",
+            "_view_name": "HBoxView",
+            "box_style": "",
+            "children": [
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+            "layout": "IPY_MODEL_dbdad554fa58487a81eed5d5fbe89a6e"
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+        "412b3fe20a164c5b81dc4d8aeffa8cf7": {
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+      "source": [],
+      "metadata": {
+        "id": "rpkc8gITlSJu"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "!pip install PyPDF2\n"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "Dh9J6vuRBjuB",
+        "outputId": "785975c7-3e37-4b96-f2d2-d9e8ceccd3c8"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Collecting PyPDF2\n",
+            "  Downloading pypdf2-3.0.1-py3-none-any.whl (232 kB)\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m232.6/232.6 kB\u001b[0m \u001b[31m2.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hInstalling collected packages: PyPDF2\n",
+            "Successfully installed PyPDF2-3.0.1\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "from PyPDF2 import PdfReader\n",
+        "from google.colab import files\n",
+        "\n",
+        "def extract_metadata(pdf_path):\n",
+        "    with open(pdf_path, 'rb') as f:\n",
+        "        pdf = PdfReader(f)\n",
+        "        info = pdf.metadata\n",
+        "        title = info.get('/Title', None)\n",
+        "        author = info.get('/Author', None)\n",
+        "        year = info.get('/CreationDate', None)\n",
+        "        if year:\n",
+        "            year = int(year[2:6])\n",
+        "\n",
+        "    return {'title': title, 'author': author, 'year': year}\n",
+        "\n",
+        "uploaded = files.upload()\n",
+        "\n",
+        "for filename in uploaded.keys():\n",
+        "    metadata = extract_metadata(filename)\n",
+        "    print(metadata)\n"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 91
+        },
+        "id": "BA_AAIkyB7yw",
+        "outputId": "53def981-a9b1-44fd-8785-c57fa2778b13"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<IPython.core.display.HTML object>"
+            ],
+            "text/html": [
+              "\n",
+              "     <input type=\"file\" id=\"files-ba0e0d7d-132e-4bbc-9265-9c9527c4af22\" name=\"files[]\" multiple disabled\n",
+              "        style=\"border:none\" />\n",
+              "     <output id=\"result-ba0e0d7d-132e-4bbc-9265-9c9527c4af22\">\n",
+              "      Upload widget is only available when the cell has been executed in the\n",
+              "      current browser session. Please rerun this cell to enable.\n",
+              "      </output>\n",
+              "      <script>// Copyright 2017 Google LLC\n",
+              "//\n",
+              "// Licensed under the Apache License, Version 2.0 (the \"License\");\n",
+              "// you may not use this file except in compliance with the License.\n",
+              "// You may obtain a copy of the License at\n",
+              "//\n",
+              "//      http://www.apache.org/licenses/LICENSE-2.0\n",
+              "//\n",
+              "// Unless required by applicable law or agreed to in writing, software\n",
+              "// distributed under the License is distributed on an \"AS IS\" BASIS,\n",
+              "// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
+              "// See the License for the specific language governing permissions and\n",
+              "// limitations under the License.\n",
+              "\n",
+              "/**\n",
+              " * @fileoverview Helpers for google.colab Python module.\n",
+              " */\n",
+              "(function(scope) {\n",
+              "function span(text, styleAttributes = {}) {\n",
+              "  const element = document.createElement('span');\n",
+              "  element.textContent = text;\n",
+              "  for (const key of Object.keys(styleAttributes)) {\n",
+              "    element.style[key] = styleAttributes[key];\n",
+              "  }\n",
+              "  return element;\n",
+              "}\n",
+              "\n",
+              "// Max number of bytes which will be uploaded at a time.\n",
+              "const MAX_PAYLOAD_SIZE = 100 * 1024;\n",
+              "\n",
+              "function _uploadFiles(inputId, outputId) {\n",
+              "  const steps = uploadFilesStep(inputId, outputId);\n",
+              "  const outputElement = document.getElementById(outputId);\n",
+              "  // Cache steps on the outputElement to make it available for the next call\n",
+              "  // to uploadFilesContinue from Python.\n",
+              "  outputElement.steps = steps;\n",
+              "\n",
+              "  return _uploadFilesContinue(outputId);\n",
+              "}\n",
+              "\n",
+              "// This is roughly an async generator (not supported in the browser yet),\n",
+              "// where there are multiple asynchronous steps and the Python side is going\n",
+              "// to poll for completion of each step.\n",
+              "// This uses a Promise to block the python side on completion of each step,\n",
+              "// then passes the result of the previous step as the input to the next step.\n",
+              "function _uploadFilesContinue(outputId) {\n",
+              "  const outputElement = document.getElementById(outputId);\n",
+              "  const steps = outputElement.steps;\n",
+              "\n",
+              "  const next = steps.next(outputElement.lastPromiseValue);\n",
+              "  return Promise.resolve(next.value.promise).then((value) => {\n",
+              "    // Cache the last promise value to make it available to the next\n",
+              "    // step of the generator.\n",
+              "    outputElement.lastPromiseValue = value;\n",
+              "    return next.value.response;\n",
+              "  });\n",
+              "}\n",
+              "\n",
+              "/**\n",
+              " * Generator function which is called between each async step of the upload\n",
+              " * process.\n",
+              " * @param {string} inputId Element ID of the input file picker element.\n",
+              " * @param {string} outputId Element ID of the output display.\n",
+              " * @return {!Iterable<!Object>} Iterable of next steps.\n",
+              " */\n",
+              "function* uploadFilesStep(inputId, outputId) {\n",
+              "  const inputElement = document.getElementById(inputId);\n",
+              "  inputElement.disabled = false;\n",
+              "\n",
+              "  const outputElement = document.getElementById(outputId);\n",
+              "  outputElement.innerHTML = '';\n",
+              "\n",
+              "  const pickedPromise = new Promise((resolve) => {\n",
+              "    inputElement.addEventListener('change', (e) => {\n",
+              "      resolve(e.target.files);\n",
+              "    });\n",
+              "  });\n",
+              "\n",
+              "  const cancel = document.createElement('button');\n",
+              "  inputElement.parentElement.appendChild(cancel);\n",
+              "  cancel.textContent = 'Cancel upload';\n",
+              "  const cancelPromise = new Promise((resolve) => {\n",
+              "    cancel.onclick = () => {\n",
+              "      resolve(null);\n",
+              "    };\n",
+              "  });\n",
+              "\n",
+              "  // Wait for the user to pick the files.\n",
+              "  const files = yield {\n",
+              "    promise: Promise.race([pickedPromise, cancelPromise]),\n",
+              "    response: {\n",
+              "      action: 'starting',\n",
+              "    }\n",
+              "  };\n",
+              "\n",
+              "  cancel.remove();\n",
+              "\n",
+              "  // Disable the input element since further picks are not allowed.\n",
+              "  inputElement.disabled = true;\n",
+              "\n",
+              "  if (!files) {\n",
+              "    return {\n",
+              "      response: {\n",
+              "        action: 'complete',\n",
+              "      }\n",
+              "    };\n",
+              "  }\n",
+              "\n",
+              "  for (const file of files) {\n",
+              "    const li = document.createElement('li');\n",
+              "    li.append(span(file.name, {fontWeight: 'bold'}));\n",
+              "    li.append(span(\n",
+              "        `(${file.type || 'n/a'}) - ${file.size} bytes, ` +\n",
+              "        `last modified: ${\n",
+              "            file.lastModifiedDate ? file.lastModifiedDate.toLocaleDateString() :\n",
+              "                                    'n/a'} - `));\n",
+              "    const percent = span('0% done');\n",
+              "    li.appendChild(percent);\n",
+              "\n",
+              "    outputElement.appendChild(li);\n",
+              "\n",
+              "    const fileDataPromise = new Promise((resolve) => {\n",
+              "      const reader = new FileReader();\n",
+              "      reader.onload = (e) => {\n",
+              "        resolve(e.target.result);\n",
+              "      };\n",
+              "      reader.readAsArrayBuffer(file);\n",
+              "    });\n",
+              "    // Wait for the data to be ready.\n",
+              "    let fileData = yield {\n",
+              "      promise: fileDataPromise,\n",
+              "      response: {\n",
+              "        action: 'continue',\n",
+              "      }\n",
+              "    };\n",
+              "\n",
+              "    // Use a chunked sending to avoid message size limits. See b/62115660.\n",
+              "    let position = 0;\n",
+              "    do {\n",
+              "      const length = Math.min(fileData.byteLength - position, MAX_PAYLOAD_SIZE);\n",
+              "      const chunk = new Uint8Array(fileData, position, length);\n",
+              "      position += length;\n",
+              "\n",
+              "      const base64 = btoa(String.fromCharCode.apply(null, chunk));\n",
+              "      yield {\n",
+              "        response: {\n",
+              "          action: 'append',\n",
+              "          file: file.name,\n",
+              "          data: base64,\n",
+              "        },\n",
+              "      };\n",
+              "\n",
+              "      let percentDone = fileData.byteLength === 0 ?\n",
+              "          100 :\n",
+              "          Math.round((position / fileData.byteLength) * 100);\n",
+              "      percent.textContent = `${percentDone}% done`;\n",
+              "\n",
+              "    } while (position < fileData.byteLength);\n",
+              "  }\n",
+              "\n",
+              "  // All done.\n",
+              "  yield {\n",
+              "    response: {\n",
+              "      action: 'complete',\n",
+              "    }\n",
+              "  };\n",
+              "}\n",
+              "\n",
+              "scope.google = scope.google || {};\n",
+              "scope.google.colab = scope.google.colab || {};\n",
+              "scope.google.colab._files = {\n",
+              "  _uploadFiles,\n",
+              "  _uploadFilesContinue,\n",
+              "};\n",
+              "})(self);\n",
+              "</script> "
+            ]
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Saving s10502-022-09396-1 (1).pdf to s10502-022-09396-1 (1).pdf\n",
+            "{'title': 'Introduction: challenges and prospects of born-digital and digitized archives in the digital humanities', 'author': 'Lise Jaillant ', 'year': 2022}\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "from PyPDF2 import PdfReader\n",
+        "from google.colab import files\n",
+        "\n",
+        "def extract_text_from_pdf(pdf_path):\n",
+        "    with open(pdf_path, 'rb') as f:\n",
+        "        reader = PdfReader(f)\n",
+        "        text = ''\n",
+        "        for page_num in range(len(reader.pages)):\n",
+        "            text += reader.pages[page_num].extract_text()\n",
+        "    return text\n",
+        "\n",
+        "uploaded = files.upload()\n",
+        "\n",
+        "for filename in uploaded.keys():\n",
+        "    pdf_text = extract_text_from_pdf(filename)\n",
+        "    print(pdf_text)\n"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 1000
+        },
+        "id": "FoEA8vPWCbl9",
+        "outputId": "a76dc133-a298-4046-fc28-a24958b975e7"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<IPython.core.display.HTML object>"
+            ],
+            "text/html": [
+              "\n",
+              "     <input type=\"file\" id=\"files-b5872ef0-1eab-4d49-a57a-675d4da304c0\" name=\"files[]\" multiple disabled\n",
+              "        style=\"border:none\" />\n",
+              "     <output id=\"result-b5872ef0-1eab-4d49-a57a-675d4da304c0\">\n",
+              "      Upload widget is only available when the cell has been executed in the\n",
+              "      current browser session. Please rerun this cell to enable.\n",
+              "      </output>\n",
+              "      <script>// Copyright 2017 Google LLC\n",
+              "//\n",
+              "// Licensed under the Apache License, Version 2.0 (the \"License\");\n",
+              "// you may not use this file except in compliance with the License.\n",
+              "// You may obtain a copy of the License at\n",
+              "//\n",
+              "//      http://www.apache.org/licenses/LICENSE-2.0\n",
+              "//\n",
+              "// Unless required by applicable law or agreed to in writing, software\n",
+              "// distributed under the License is distributed on an \"AS IS\" BASIS,\n",
+              "// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
+              "// See the License for the specific language governing permissions and\n",
+              "// limitations under the License.\n",
+              "\n",
+              "/**\n",
+              " * @fileoverview Helpers for google.colab Python module.\n",
+              " */\n",
+              "(function(scope) {\n",
+              "function span(text, styleAttributes = {}) {\n",
+              "  const element = document.createElement('span');\n",
+              "  element.textContent = text;\n",
+              "  for (const key of Object.keys(styleAttributes)) {\n",
+              "    element.style[key] = styleAttributes[key];\n",
+              "  }\n",
+              "  return element;\n",
+              "}\n",
+              "\n",
+              "// Max number of bytes which will be uploaded at a time.\n",
+              "const MAX_PAYLOAD_SIZE = 100 * 1024;\n",
+              "\n",
+              "function _uploadFiles(inputId, outputId) {\n",
+              "  const steps = uploadFilesStep(inputId, outputId);\n",
+              "  const outputElement = document.getElementById(outputId);\n",
+              "  // Cache steps on the outputElement to make it available for the next call\n",
+              "  // to uploadFilesContinue from Python.\n",
+              "  outputElement.steps = steps;\n",
+              "\n",
+              "  return _uploadFilesContinue(outputId);\n",
+              "}\n",
+              "\n",
+              "// This is roughly an async generator (not supported in the browser yet),\n",
+              "// where there are multiple asynchronous steps and the Python side is going\n",
+              "// to poll for completion of each step.\n",
+              "// This uses a Promise to block the python side on completion of each step,\n",
+              "// then passes the result of the previous step as the input to the next step.\n",
+              "function _uploadFilesContinue(outputId) {\n",
+              "  const outputElement = document.getElementById(outputId);\n",
+              "  const steps = outputElement.steps;\n",
+              "\n",
+              "  const next = steps.next(outputElement.lastPromiseValue);\n",
+              "  return Promise.resolve(next.value.promise).then((value) => {\n",
+              "    // Cache the last promise value to make it available to the next\n",
+              "    // step of the generator.\n",
+              "    outputElement.lastPromiseValue = value;\n",
+              "    return next.value.response;\n",
+              "  });\n",
+              "}\n",
+              "\n",
+              "/**\n",
+              " * Generator function which is called between each async step of the upload\n",
+              " * process.\n",
+              " * @param {string} inputId Element ID of the input file picker element.\n",
+              " * @param {string} outputId Element ID of the output display.\n",
+              " * @return {!Iterable<!Object>} Iterable of next steps.\n",
+              " */\n",
+              "function* uploadFilesStep(inputId, outputId) {\n",
+              "  const inputElement = document.getElementById(inputId);\n",
+              "  inputElement.disabled = false;\n",
+              "\n",
+              "  const outputElement = document.getElementById(outputId);\n",
+              "  outputElement.innerHTML = '';\n",
+              "\n",
+              "  const pickedPromise = new Promise((resolve) => {\n",
+              "    inputElement.addEventListener('change', (e) => {\n",
+              "      resolve(e.target.files);\n",
+              "    });\n",
+              "  });\n",
+              "\n",
+              "  const cancel = document.createElement('button');\n",
+              "  inputElement.parentElement.appendChild(cancel);\n",
+              "  cancel.textContent = 'Cancel upload';\n",
+              "  const cancelPromise = new Promise((resolve) => {\n",
+              "    cancel.onclick = () => {\n",
+              "      resolve(null);\n",
+              "    };\n",
+              "  });\n",
+              "\n",
+              "  // Wait for the user to pick the files.\n",
+              "  const files = yield {\n",
+              "    promise: Promise.race([pickedPromise, cancelPromise]),\n",
+              "    response: {\n",
+              "      action: 'starting',\n",
+              "    }\n",
+              "  };\n",
+              "\n",
+              "  cancel.remove();\n",
+              "\n",
+              "  // Disable the input element since further picks are not allowed.\n",
+              "  inputElement.disabled = true;\n",
+              "\n",
+              "  if (!files) {\n",
+              "    return {\n",
+              "      response: {\n",
+              "        action: 'complete',\n",
+              "      }\n",
+              "    };\n",
+              "  }\n",
+              "\n",
+              "  for (const file of files) {\n",
+              "    const li = document.createElement('li');\n",
+              "    li.append(span(file.name, {fontWeight: 'bold'}));\n",
+              "    li.append(span(\n",
+              "        `(${file.type || 'n/a'}) - ${file.size} bytes, ` +\n",
+              "        `last modified: ${\n",
+              "            file.lastModifiedDate ? file.lastModifiedDate.toLocaleDateString() :\n",
+              "                                    'n/a'} - `));\n",
+              "    const percent = span('0% done');\n",
+              "    li.appendChild(percent);\n",
+              "\n",
+              "    outputElement.appendChild(li);\n",
+              "\n",
+              "    const fileDataPromise = new Promise((resolve) => {\n",
+              "      const reader = new FileReader();\n",
+              "      reader.onload = (e) => {\n",
+              "        resolve(e.target.result);\n",
+              "      };\n",
+              "      reader.readAsArrayBuffer(file);\n",
+              "    });\n",
+              "    // Wait for the data to be ready.\n",
+              "    let fileData = yield {\n",
+              "      promise: fileDataPromise,\n",
+              "      response: {\n",
+              "        action: 'continue',\n",
+              "      }\n",
+              "    };\n",
+              "\n",
+              "    // Use a chunked sending to avoid message size limits. See b/62115660.\n",
+              "    let position = 0;\n",
+              "    do {\n",
+              "      const length = Math.min(fileData.byteLength - position, MAX_PAYLOAD_SIZE);\n",
+              "      const chunk = new Uint8Array(fileData, position, length);\n",
+              "      position += length;\n",
+              "\n",
+              "      const base64 = btoa(String.fromCharCode.apply(null, chunk));\n",
+              "      yield {\n",
+              "        response: {\n",
+              "          action: 'append',\n",
+              "          file: file.name,\n",
+              "          data: base64,\n",
+              "        },\n",
+              "      };\n",
+              "\n",
+              "      let percentDone = fileData.byteLength === 0 ?\n",
+              "          100 :\n",
+              "          Math.round((position / fileData.byteLength) * 100);\n",
+              "      percent.textContent = `${percentDone}% done`;\n",
+              "\n",
+              "    } while (position < fileData.byteLength);\n",
+              "  }\n",
+              "\n",
+              "  // All done.\n",
+              "  yield {\n",
+              "    response: {\n",
+              "      action: 'complete',\n",
+              "    }\n",
+              "  };\n",
+              "}\n",
+              "\n",
+              "scope.google = scope.google || {};\n",
+              "scope.google.colab = scope.google.colab || {};\n",
+              "scope.google.colab._files = {\n",
+              "  _uploadFiles,\n",
+              "  _uploadFilesContinue,\n",
+              "};\n",
+              "})(self);\n",
+              "</script> "
+            ]
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Saving s10502-022-09396-1 (1).pdf to s10502-022-09396-1 (1) (1).pdf\n",
+            "Vol.:(0123456789)Archival Science (2022) 22:285–291\n",
+            "https://doi.org/10.1007/s10502-022-09396-1\n",
+            "1 3\n",
+            "EDITORIAL\n",
+            "Introduction: challenges and prospects of born‑digital \n",
+            "and digitized archives in the digital humanities\n",
+            "Lise Jaillant1  · Katie Aske2 · Eirini Goudarouli3 · Natasha Kitcher2\n",
+            "Published online: 26 May 2022 \n",
+            "© The Author(s), under exclusive licence to Springer Nature B.V. 2022, corrected publication 2022\n",
+            "The scale and complexity of digital archives, both born-digital and digitized, are \n",
+            "posing enormous challenges for both researchers and memory institutions. In the \n",
+            "world of archives, these new types of records are fundamentally changing the land-\n",
+            "scape as well as the role of archivists and archival institutions. The emergence of \n",
+            "new generation technologies also brings a variety of complexities and challenges \n",
+            "to archival frameworks, requiring new capabilities and approaches on how best to \n",
+            "capture, preserve, contextualize and present the increasingly born-digital and digi-\n",
+            "tized records. However, this technological shift also brings new opportunities for \n",
+            "research and experimentation (Goudarouli et al. 2019). For example, technological \n",
+            "developments have transformed the way researchers can access and explore archival \n",
+            "collections. The digitization of archival materials has opened a variety of large-scale \n",
+            "digital collections to the world. Additionally, born-digital archives are beginning to \n",
+            "reach terabytes, comprising many different types of media, that can be made acces-\n",
+            "sible online.\n",
+            "By enabling the extraction of archival content as data and moving towards the \n",
+            "creation of aggregated large-scale datasets, memory institutions are focusing on pro-\n",
+            "viding access to their collections in new ways inviting new explorations and interpre-\n",
+            "tations of their materials by researchers from across the world. In addition, today’s \n",
+            "reading rooms have been transformed to become more user-friendly than they were \n",
+            " * Lise Jaillant \n",
+            " l.jaillant@lboro.ac.uk\n",
+            " Katie Aske \n",
+            " K.L.Aske@lboro.ac.uk\n",
+            " Eirini Goudarouli \n",
+            " eirini.goudarouli@nationalarchives.gov.uk\n",
+            " Natasha Kitcher \n",
+            " N.Kitcher@lboro.ac.uk\n",
+            "1 School of Social Sciences and Humanities, Loughborough University, Epinal Way, \n",
+            "Loughborough LE11 3TU, UK\n",
+            "2 Loughborough University, Loughborough, UK\n",
+            "3 The National Archives UK, London, UK286 Archival Science (2022) 22:285–291\n",
+            "1 3\n",
+            "in the 1970s and 1980s, as online finding aids and search tools have replaced card \n",
+            "catalogues, making it easier to identify materials. Digital cameras allow users to \n",
+            "take their own pictures instead of relying on archival repositories for photocopying; \n",
+            "and laptops have enabled the exploration of online collections remotely and away \n",
+            "from the physical reading rooms. Twentieth-century historians, literary scholars and \n",
+            "other humanities researchers are still exploring old papers in archival collections, as \n",
+            "the collections that have been digitized only represent a small portion of all archival \n",
+            "holdings, but they are also increasingly focusing on exploring new types of born-\n",
+            "digital records such as web archives and social media archives.\n",
+            "However, too often, born-digital and digitized materials are inaccessible due to \n",
+            "copyright reasons. For instance, copyrighted texts are not available for download \n",
+            "from HathiTrust, a not-for-profit collaborative of libraries preserving 17 + million \n",
+            "digitized items (including c. 61% not in the public domain). Copyright reasons also \n",
+            "largely explain why web archives collected by major libraries (including the British \n",
+            "Library and the Bibliothèque Nationale de France) cannot be put online. To con-\n",
+            "sult archival webpages that were once publicly available, users often need to travel \n",
+            "to the repositories. Other types of archives born in digital forms, such as emails, \n",
+            "Word documents, digital pictures and video files, can also be difficult to access due \n",
+            "to copyright – but also privacy concerns, and technical issues. Emails have largely \n",
+            "replaced letters, and yet, researchers who need to consult archival emails will very \n",
+            "rarely be able to access these born-digital records.\n",
+            "This special issue explores the current challenges and prospects of born-digital \n",
+            "and digitized archives for the digital humanities, focusing particularly on the topic \n",
+            "of access. It brings together experts from archival science and the humanities, with \n",
+            "experts and practitioners from cultural heritage institutions. It is a key research out-\n",
+            "put of the AURA (Archives in the UK/ Republic of Ireland & AI) network, funded \n",
+            "by the Arts and Humanities Research Council (AHRC) in the UK and the Irish \n",
+            "Research Council.1 The AURA network was designed to unlock cultural assets \n",
+            "that are preserved in digital archives, closed to the public, or difficult to access. By \n",
+            "bringing together digital humanists, computer scientists, and stakeholders (including \n",
+            "policymakers), the network aimed to find solutions to the problem of inaccessible \n",
+            "records in digital archives. To explore the challenge of access to digital archives, \n",
+            "cross-disciplinary collaborations are absolutely essential.\n",
+            "The big challenges of our time, from global warming to social inequalities, can-\n",
+            "not be solved within a single discipline. The same applies to inaccessible archives: \n",
+            "we cannot expect archivists or digital humanists alone to find a magical solution \n",
+            "that will instantly make digital records more accessible. Instead, we need to set up \n",
+            "collaborations across disciplines that seldom talk to each other. Until recently, the \n",
+            "scholarship on digitized and born-digital records originated from the archive sector \n",
+            "and focused primarily on preservation. There were few examples of digital human-\n",
+            "ists who sat at the same table and took part in these discussions. In 2010, Matthew \n",
+            "Kirschenbaum, an American professor of Digital Humanities, co-authored a report \n",
+            "on ‘Digital Forensics and Born-Digital Content in Cultural Heritage Collections,’ \n",
+            "1 www. aura- netwo rk. net.287\n",
+            "1 3 Archival Science (2022) 22:285–291 \n",
+            "with professionals in libraries and archives (Kirschenbaum et al. 2010). This report \n",
+            "then led to a partnership that developed the BitCurator system2 now widely used \n",
+            "by digital archivists. Ten years later, Ryan Cordell published a report in partnership \n",
+            "with the Library of Congress on machine learning (ML) in the library sector. The \n",
+            "report mentioned that “access to data is the single greatest practical hurdle to more \n",
+            "Machine Learning work in libraries” (Cordell 2020, p 50).\n",
+            "The challenge of access is at the center of the new US/UK network AEOLIAN \n",
+            "(AI for Cultural Organizations),3 which complements the AURA network and its \n",
+            "research outcomes. This special issue focuses on problems of access to born-digital \n",
+            "and digitized archives in the digital humanities (DH), both from the infrastructural \n",
+            "and users’ perspectives. But accessing archival collections is not enough. The arti-\n",
+            "cles presented here also highlight the need to use innovative AI-based methodolo-\n",
+            "gies (such as Natural Language Processing or Linked Data) to support research. It \n",
+            "is also essential to develop partnerships between digital humanists, computer sci-\n",
+            "entists, and cultural heritage professionals to fully explore new ways to approach \n",
+            "digitized and born-digital archives.\n",
+            "Questions explored in this special issue include: How can we increase use by \n",
+            "digital humanities scholars of born-digital and digitized archives? How can we \n",
+            "give greater access to collections important to digital humanists that are currently \n",
+            "restricted? Collectively, the articles in the special issue problematize the challenges \n",
+            "and prospects of digital and born-digital archives. They offer new theoretical inter -\n",
+            "pretations, apply research methodologies to new case studies, and offer innovative \n",
+            "perspectives on present and future archival digital collections.\n",
+            "We invited contributions from interdisciplinary voices and received responses \n",
+            "from digital humanities scholars, emerging academics, trained librarians, and archi-\n",
+            "vists. While looking at a broad range of issues, from social media use to Python \n",
+            "notebooks, Handwritten Text Recognition to the semantic web, these contributions \n",
+            "examine similar themes as they seek to make digital archives accessible through a \n",
+            "range of new theoretical frameworks and practical tools. The initial contributions to \n",
+            "this special issue consider the subject of accessibility and other ethical challenges \n",
+            "faced by digital archives. The second section focuses on new computational tools for \n",
+            "archives.\n",
+            "Our first article, ‘Digital critical archives, copyright, and feminist praxis’ by \n",
+            "Claire Battershill et al. look at the challenge of creating equal archives. With a spe-\n",
+            "cial focus on twentieth-century publishing history, Battershill introduces the Mod-\n",
+            "ernist Archives Publishing Project (alongside Helena Clarkson, Matthew N. Hannah, \n",
+            "Ilya Nokhrin, Elizabeth Willson Gordon, and Nicola Wilson, all from the project \n",
+            "team). The article acknowledges that archives of different sizes face different chal-\n",
+            "lenges when trying to set up collections. Smaller archives face greater challenges, \n",
+            "as their digitization processes depend on what scholarly research gets funding, so \n",
+            "unequal practices can trickle-down and impact what is or is not available for users \n",
+            "to view. The Modernist Archives Publishing Project has emerged in this context, \n",
+            "2 https:// bitcu rator. net.\n",
+            "3 www. aeoli an- netwo rk. net.288 Archival Science (2022) 22:285–291\n",
+            "1 3\n",
+            "looking to make the selection process when digitizing objects clear to users. The \n",
+            "aim is to “create a digital archive that embodies feminist principles at all levels of \n",
+            "practice.” The first phase of the project ran from 2012 to 2020 and started by look -\n",
+            "ing at records associated with Hogarth Press, Leonard, and Virginia Woolf’s pub-\n",
+            "lishing house. The authors note that copyright was a considerable barrier to making \n",
+            "this collection available online since much of the material is from the twentieth cen-\n",
+            "tury. To overcome this challenge, it was possible to gain permission to digitize from \n",
+            "the legal owners, but this meant that physically digitizing the archives was just as \n",
+            "time-consuming as gaining clearance to do so.\n",
+            "In ‘Archives, linked data and the digital humanities: increasing access to digitized \n",
+            "and born digital archives via the Semantic Web’, Ashleigh Hawkins also consid-\n",
+            "ers the huge amount of work that needs to be done behind the scenes to digitize \n",
+            "archives, as well as the great value this process can have. The article is an introduc-\n",
+            "tion to linked data, looking at the benefits of, and current industry barriers to, archi-\n",
+            "val linked data, and the future directions for DH as data. This includes the possible \n",
+            "incorporation of AI, which has already started to take place, for example in the use \n",
+            "of the open-source tool ePADD for enabling access to email collections. Hawkins \n",
+            "notes that where digital data has been produced, it is not always readily available \n",
+            "because of issues such as intellectual property. For this data to be made machine-\n",
+            "readable and accessible, archivists need to be involved in the conversation. Hawkins \n",
+            "argues that while the infrastructure for archival linked data is emerging, archivists \n",
+            "need to participate in the production of these tools so that the metadata, content, and \n",
+            "other context are of a high enough standard for the semantic web. Hawkins is one \n",
+            "of many in this special issue who calls for an interdisciplinary approach to digital \n",
+            "archives.\n",
+            "Furthering the discussion of accessibility and the ethical challenges presented by \n",
+            "privacy issues is ‘A survey on email visualisation research to address the conflict \n",
+            "between privacy and access’ by Zoe Bartliff, Yunhyong Kim and Frank Hopfgartner. \n",
+            "This paper explores the perpetual cycle between email data access and concerns for \n",
+            "privacy and private information held within email archives. Where Bartliff et  al. \n",
+            "express the need to make emails more accessible data sources, they also address \n",
+            "the seemingly impossible balance between access and privacy—a need not met by \n",
+            "current visualisations for researching email data. The article proposes a categorisa-\n",
+            "tion of email visualisation attributes and a graded scale, as a means to identify the \n",
+            "extent to which privacy conscious data management can impact research on email \n",
+            "collections.\n",
+            "No matter what the archive is, or how big it is, granting users access in a way that \n",
+            "clearly shows how and why some records are available while others are not, is a key \n",
+            "challenge for digital archives. Sustainable ways to maintain and create archives need \n",
+            "to be identified, and articles in this special issue illuminate several ways this could \n",
+            "be done. A cross-disciplinary approach seems almost inevitable given the status of \n",
+            "the digital humanities as a tech-focused study of historical concern. Once the issue \n",
+            "of access to archives has been overcome, new computational tools can be developed \n",
+            "to either help explore these archives or complete the digitization themselves. Two \n",
+            "examples are presented in this special issue: Handwritten text recognition technol-\n",
+            "ogy (Transkribus), and Python Notebooks. Both tools come with their own unique 289\n",
+            "1 3 Archival Science (2022) 22:285–291 \n",
+            "set of prospects and challenges, showing that while the future of AI in archives may \n",
+            "be bright, there is still a need to scrutinize how and why we use digital archives \n",
+            "throughout the process.\n",
+            "Joseph Nockels et al. take a close look at Transkribus, a software that has been \n",
+            "used to speed up primary source transcription for digitization, in their article \n",
+            "‘Understanding the application of handwritten text recognition technology in herit-\n",
+            "age contexts: a systematic review of Transkribus in published research’. Transkri-\n",
+            "bus was originally funded as an EU Horizon 2020 project which launched as an \n",
+            "online tool in 2015 and is now a pay-to-use HTR technology. Nockels conducted \n",
+            "a study of all articles (not just peer-reviewed journals) that have used Transkribus \n",
+            "between 2015 and 2020. The authors found that Transkribus lends itself to a variety \n",
+            "of studies, and this is only getting more eclectic as time goes on (and the article flags \n",
+            "a recent branching out into botany). They also note that while the tool originated \n",
+            "in academia, its use may go well beyond that, and there is a need to monitor its \n",
+            "impact. This can be done with open forums and peer support to assist and continu-\n",
+            "ously remind users of the need for caution when using the tool. As with many digital \n",
+            "projects, handwritten text recognition in general and Tranksribus, in particular, have \n",
+            "benefitted from Covid-19, which increased a focus on digital projects in cultural her -\n",
+            "itage institutions. This paper is the first review of Transkribus in published research, \n",
+            "although if use of the technology continues to increase at the rate it has in the last \n",
+            "five years, it will probably not be the last.\n",
+            "Technology can make digitized sources more accessible, and it can also lead to \n",
+            "new knowledge–which is the topic of Leontien Talboom and Mark Bell’s ‘Keep-\n",
+            "ing it under lock and keywords: exploring new ways to open up the web archives \n",
+            "with Notebooks’. This article looks at how Python Notebooks can be used to take \n",
+            "users beyond the keyword search, with Notebooks serving as supporting tools that \n",
+            "aid search work while giving users a deeper look into their archive sources. The \n",
+            "article looks at two Notebooks used to search the UK Government Web Archive \n",
+            "(UKGWA). Notebook 1 focuses on available metadata, providing a view of records \n",
+            "not available through the UKGWA, while Notebook 2 takes the researcher to the \n",
+            "next step–crawling through UKGWA on behalf of the user and extracting relevant \n",
+            "content from pages to present an overview of what is available. Notebooks can be \n",
+            "used to showcase datasets for researchers, but the authors admit they may not be sus-\n",
+            "tainable long-term as their use depends on the availability of cloud platforms. The \n",
+            "authors encourage institutions to think about the ethical issues around computational \n",
+            "methods, and again emphasize the need to keep users involved in conversations \n",
+            "about the tools used to select and study historical data. Nonetheless, Notebooks are \n",
+            "(for now) a good tool to use when accessing archives.\n",
+            "The special issue closes with an article  from Lise Jaillant, ‘How can we make \n",
+            "born-digital and digitised archives more accessible? Identifying obstacles and solu-\n",
+            "tions’. As a literary scholar and digital humanist, Jaillant addresses the key issues \n",
+            "faced by researchers when attempting to access “dark” digital collections. Based on \n",
+            "a series of interviews with archival and library professionals in the UK, Ireland, and \n",
+            "the US, the article explores the common obstacles that often hold back develop-\n",
+            "ments for improving the accessibility of digital archives. The article outlines current \n",
+            "levels of access to digital collections: some of them are completely closed to users, 290 Archival Science (2022) 22:285–291\n",
+            "1 3\n",
+            "while others are accessible on a limited basis (for example, when digital files are \n",
+            "available on-site but not remotely). Jaillant  suggests possible solutions to the prob-\n",
+            "lems of access–including the ethical use of Artificial Intelligence to unlock “dark” \n",
+            "archives inaccessible to users. She proposes the creation of a global user community \n",
+            "who would participate in decisions on access to digital collections. The articles in \n",
+            "this special issue all share a similar focus on the need for interdisciplinary research \n",
+            "in archives, the need to include users in conversations with practitioners and schol-\n",
+            "ars when creating new research tools, and the need to stay vigilant regarding pos-\n",
+            "sible ethical downfalls in digitization. The landscape of digital archives is changing \n",
+            "rapidly, as these articles show in both their scope and their focus on recent and new \n",
+            "technologies. What emerges from this special issue is the need for future-proof solu-\n",
+            "tions to the issues of born-digital and digitized archives, and to keep these discus-\n",
+            "sions going well into the future.\n",
+            "Funding This study is part of the AURA project (Archives in the UK/ Republic of Ireland and AI), which \n",
+            "received funding from the UK Arts and Humanities Research Council (reference AH/V002341/1) and the \n",
+            "Irish Research Council (reference IRC/V002341/1).\n",
+            "References\n",
+            "Cordell R (2020) Machine learning + libraries. Library of Congress, Washington, D.C. https:// labs. loc. \n",
+            "gov/ static/ labs/ work/ repor  ts/ Corde ll- LOC- ML- report. pdf? loclr= blogs ig. Accessed 13 Aug. 2021.\n",
+            "Goudarouli E, Sexton A, Sheridan J (2019) The challenge of the digital and the future archive: through the \n",
+            "lens of the national archives UK. Phil Tech 32:173–183. https:// doi. org/ 10. 1007/ s13347- 018- 0333-3\n",
+            "Kirschenbaum M, Ovenden R, Redwine G (2010) Digital forensics and born-digital content in cultural \n",
+            "heritage collections. CLIR. https:// www. clir. org/ pubs/ repor  ts/ pub149/. Accessed 13 Aug. 2021\n",
+            "Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in published maps \n",
+            "and institutional affiliations.\n",
+            "Lise Jaillant is Senior Lecturer (Associate Professor) in Digital Humanities at Loughborough University. \n",
+            "She has a background in publishing history and digital humanities. In the past five years, she has gained \n",
+            "expertise on born-digital archives and the issues of preservation/ access to these archives. Since 2020, she \n",
+            "has been UK PI for three externally funded projects on Archives and Artificial Intelligence: (1) “EyCon \n",
+            "(Visual AI and Early Conflict Photography)” (2) “AEOLIAN: Artificial Intelligence for Cultural Organi-\n",
+            "sations” (3) “AURA (Archives in the UK/ Republic of Ireland & AI): Bringing together Digital Human-\n",
+            "ists, Computer Scientists & stakeholders to unlock cultural assets.” These international projects aim to \n",
+            "make digitised and born-digital archives more accessible to researchers, and to use innovative research \n",
+            "methods such as AI to analyse archival data.\n",
+            "Katie Aske is a Research Assistant at Loughborough University working on the AURA and AEOLIAN \n",
+            "networks. Aske is an award-winning scholar of eighteenth-century literature and the digital humanities. \n",
+            "After completing her PhD at Loughborough University in 2015, Aske undertook a Postdoctoral Research \n",
+            "Fellowship at Université de Bretagne Occidentale in 2016, working on the digital humanities project \n",
+            "‘DIGITENS: Digital Encyclopaedia of Eighteenth-Century British Sociability’. She has published widely \n",
+            "on eighteenth-century literature and medicine and has also worked on several major research projects at 291\n",
+            "1 3 Archival Science (2022) 22:285–291 \n",
+            "Northumbria University, including the AHRC-funded Sterne Digital Library.\n",
+            "Eirini Goudarouli is Head of Digital Research Programmes at The National Archives. Her current \n",
+            "research interests focus on digital research in cultural heritage. She is particularly interested in bringing \n",
+            "together methods and theories from a range of disciplines that could essentially contribute to the rethink -\n",
+            "ing of digital, archival and collection-based research.\n",
+            "Eirini has extensive experience working on interdisciplinary research projects across the Cultural \n",
+            "Heritage and Higher Education sectors. In 2015 she received a doctorate in History of Science from \n",
+            "the University of Athens, and she has been a visiting scholar at the University of Cambridge and \n",
+            "the University of Helsinki.\n",
+            "Before joining The National Archives, she was a researcher at the University of Warwick and an \n",
+            "Associate Research Fellow at Birkbeck, London. In previous years, she spent more than five years \n",
+            "working with the University collections belonging to the Historical Archive and the Lab for the \n",
+            "Electronic Processing of historical archives at the University of Athens.\n",
+            "Eirini is also a Research Fellow at the Research Centre for the Humanities, Greece, a member of \n",
+            "the Digital Committee at the Royal Historical Society, a member of ‘Humanities and Data Science’ \n",
+            "special interest group at the Alan Turing Institute, and a board member of the Advanced Information \n",
+            "Collaboratory, an international network with partners from leading academic and cultural institutions \n",
+            "spanning five continents.\n",
+            "Natasha Kitcher previously studied History at Royal Holloway, where she completed her BA in History \n",
+            "and an MA in Public History. As part of the course she learned a great deal about engaging wider audi-\n",
+            "ences in the past and wrote a play (Mum is MAD!) that was performed at Stanley Halls in 2019.\n",
+            " Now focused on her doctoral research, Natasha was recently the Programme Editor and an \n",
+            "Online Tutor for the University of London Worldwide. She is currently the Rapporteur for an AHRC \n",
+            "funded project with the Science Museum considering the culture and display of space exploration \n",
+            "for future space galleries.\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "from transformers import pipeline\n",
+        "from PyPDF2 import PdfReader\n",
+        "from google.colab import files\n",
+        "\n",
+        "def extract_text_from_pdf(pdf_path):\n",
+        "    with open(pdf_path, 'rb') as f:\n",
+        "        reader = PdfReader(f)\n",
+        "        text = ''\n",
+        "        for page_num in range(len(reader.pages)):\n",
+        "            text += reader.pages[page_num].extract_text()\n",
+        "    return text\n",
+        "\n",
+        "def extract_information(text):\n",
+        "    nlp = pipeline(\"question-answering\")\n",
+        "    result = nlp(question=\"What is the study about?\", context=text)\n",
+        "    return result['answer']\n",
+        "\n",
+        "uploaded = files.upload()\n",
+        "\n",
+        "for filename in uploaded.keys():\n",
+        "    pdf_text = extract_text_from_pdf(filename)\n",
+        "    study_description = extract_information(pdf_text)\n",
+        "    print(study_description)\n"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 396,
+          "referenced_widgets": [
+            "9d4bcf8c5a55439c84d5a0bde70c744f",
+            "412b3fe20a164c5b81dc4d8aeffa8cf7",
+            "7e135ef02cd24e9b8839b2b3b88b23a7",
+            "2e9b5d12ff89430fbaef3967654094b6",
+            "dbdad554fa58487a81eed5d5fbe89a6e",
+            "3cc1570fbbff4c89b795839c8d6c8999",
+            "f5cc938ab74f4e628ac905bbe7cb518b",
+            "f5d7fc869be94ded884e2cfccbddce47",
+            "73cd44b42b7c461e9b2fdce897584358",
+            "83edd892a06f4047842caac589a75d2c",
+            "e3c288868e8a48d28b80d13907cfc893",
+            "6a7c4a58ed904b20bfe9cbe09b1c140c",
+            "bb93223533e046eca711fa044bdf9e6a",
+            "7b0255225d7b41978edddc5b5335880a",
+            "79facb9c77744d9d82fbbcc58ddd64c1",
+            "64ad4db983a146d992e840604e3bb4ab",
+            "4244957b204c4bfb8a81c7ac30f04c93",
+            "c29652c828a44133a01ed3a6bf0ad5f6",
+            "664bb25395894a0cb8781bc88fe7a62b",
+            "56f0d0cfa54f4777b86397c21367436a",
+            "94d977008a9e45f6ab4f9d24c92d14bc",
+            "a76b4fc4363f462d8ad85076f6f3456b",
+            "44c58296ffe84c9d8a0596addce8c33c",
+            "452417200c604ce49d611e303bc475b4",
+            "1c5e337de2be4074a7b49c98289fe3a2",
+            "92e272277bc044258d620110c12335e5",
+            "e1896758b7d84641a53d274aad9a95b6",
+            "57e13a42c8ab44fda4dc5de24bada8e6",
+            "4235036ac2b04deebdc3c8bc595dc1c8",
+            "4015b5266672449c9e4e4ab75d47cc7a",
+            "1ffafbfd71474c30bb5986519f90ced1",
+            "b64e9e58c56a4784a8f0ecfd301c70b6",
+            "29f02020e6bc4ed5933af401fdfec0dc",
+            "fed76e90cabd4934855b17663234ee30",
+            "c3e71ab34c004a098c27a74168694501",
+            "21ff46e928a44376ae71a9ac4bd0cc29",
+            "a819a12417374ef78ddfd5bd593489d6",
+            "2e6088cfea294357b384074bd891f51a",
+            "3bfa05025686446dac3ca24b7a440020",
+            "23ad4f64c24048d190991f81557e928b",
+            "ec0baa60dbf2466b917ec5cfe924bba6",
+            "46a054dbaa0047dfac9ee1c83c80ec67",
+            "4cd73c4b70e34430ac65af8fc09cc612",
+            "3ce52afc52c14be28722a289d2c2e931",
+            "ee9781a2879d404f834150670b67a185",
+            "55ce919f6c3842758dae89f3fbab7227",
+            "71ca4e1427384c64ae1a3ad51817da74",
+            "44bf5c35b17e4b9f8bb0783f55e4d044",
+            "0466058321ef4dbf92ebcff8fa5c1856",
+            "dd4f516cbcdc4c7a83da69ceba0556eb",
+            "2729f08944764336b94ccecccfb7bd59",
+            "2cba95e38ac44b0393755c69dedd8747",
+            "696197a54b4b45e2999a80da54c9de2b",
+            "a15ecd477f414c9bbce20e54435b75a3",
+            "337c10a736a944cfa4f0453d6edca5b7"
+          ]
+        },
+        "id": "MIV5PnpODM4e",
+        "outputId": "44a81a78-37ff-4b70-bb0c-b9200aad83ef"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<IPython.core.display.HTML object>"
+            ],
+            "text/html": [
+              "\n",
+              "     <input type=\"file\" id=\"files-24fa5101-0ee1-4216-9f61-7254b5d89aa0\" name=\"files[]\" multiple disabled\n",
+              "        style=\"border:none\" />\n",
+              "     <output id=\"result-24fa5101-0ee1-4216-9f61-7254b5d89aa0\">\n",
+              "      Upload widget is only available when the cell has been executed in the\n",
+              "      current browser session. Please rerun this cell to enable.\n",
+              "      </output>\n",
+              "      <script>// Copyright 2017 Google LLC\n",
+              "//\n",
+              "// Licensed under the Apache License, Version 2.0 (the \"License\");\n",
+              "// you may not use this file except in compliance with the License.\n",
+              "// You may obtain a copy of the License at\n",
+              "//\n",
+              "//      http://www.apache.org/licenses/LICENSE-2.0\n",
+              "//\n",
+              "// Unless required by applicable law or agreed to in writing, software\n",
+              "// distributed under the License is distributed on an \"AS IS\" BASIS,\n",
+              "// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
+              "// See the License for the specific language governing permissions and\n",
+              "// limitations under the License.\n",
+              "\n",
+              "/**\n",
+              " * @fileoverview Helpers for google.colab Python module.\n",
+              " */\n",
+              "(function(scope) {\n",
+              "function span(text, styleAttributes = {}) {\n",
+              "  const element = document.createElement('span');\n",
+              "  element.textContent = text;\n",
+              "  for (const key of Object.keys(styleAttributes)) {\n",
+              "    element.style[key] = styleAttributes[key];\n",
+              "  }\n",
+              "  return element;\n",
+              "}\n",
+              "\n",
+              "// Max number of bytes which will be uploaded at a time.\n",
+              "const MAX_PAYLOAD_SIZE = 100 * 1024;\n",
+              "\n",
+              "function _uploadFiles(inputId, outputId) {\n",
+              "  const steps = uploadFilesStep(inputId, outputId);\n",
+              "  const outputElement = document.getElementById(outputId);\n",
+              "  // Cache steps on the outputElement to make it available for the next call\n",
+              "  // to uploadFilesContinue from Python.\n",
+              "  outputElement.steps = steps;\n",
+              "\n",
+              "  return _uploadFilesContinue(outputId);\n",
+              "}\n",
+              "\n",
+              "// This is roughly an async generator (not supported in the browser yet),\n",
+              "// where there are multiple asynchronous steps and the Python side is going\n",
+              "// to poll for completion of each step.\n",
+              "// This uses a Promise to block the python side on completion of each step,\n",
+              "// then passes the result of the previous step as the input to the next step.\n",
+              "function _uploadFilesContinue(outputId) {\n",
+              "  const outputElement = document.getElementById(outputId);\n",
+              "  const steps = outputElement.steps;\n",
+              "\n",
+              "  const next = steps.next(outputElement.lastPromiseValue);\n",
+              "  return Promise.resolve(next.value.promise).then((value) => {\n",
+              "    // Cache the last promise value to make it available to the next\n",
+              "    // step of the generator.\n",
+              "    outputElement.lastPromiseValue = value;\n",
+              "    return next.value.response;\n",
+              "  });\n",
+              "}\n",
+              "\n",
+              "/**\n",
+              " * Generator function which is called between each async step of the upload\n",
+              " * process.\n",
+              " * @param {string} inputId Element ID of the input file picker element.\n",
+              " * @param {string} outputId Element ID of the output display.\n",
+              " * @return {!Iterable<!Object>} Iterable of next steps.\n",
+              " */\n",
+              "function* uploadFilesStep(inputId, outputId) {\n",
+              "  const inputElement = document.getElementById(inputId);\n",
+              "  inputElement.disabled = false;\n",
+              "\n",
+              "  const outputElement = document.getElementById(outputId);\n",
+              "  outputElement.innerHTML = '';\n",
+              "\n",
+              "  const pickedPromise = new Promise((resolve) => {\n",
+              "    inputElement.addEventListener('change', (e) => {\n",
+              "      resolve(e.target.files);\n",
+              "    });\n",
+              "  });\n",
+              "\n",
+              "  const cancel = document.createElement('button');\n",
+              "  inputElement.parentElement.appendChild(cancel);\n",
+              "  cancel.textContent = 'Cancel upload';\n",
+              "  const cancelPromise = new Promise((resolve) => {\n",
+              "    cancel.onclick = () => {\n",
+              "      resolve(null);\n",
+              "    };\n",
+              "  });\n",
+              "\n",
+              "  // Wait for the user to pick the files.\n",
+              "  const files = yield {\n",
+              "    promise: Promise.race([pickedPromise, cancelPromise]),\n",
+              "    response: {\n",
+              "      action: 'starting',\n",
+              "    }\n",
+              "  };\n",
+              "\n",
+              "  cancel.remove();\n",
+              "\n",
+              "  // Disable the input element since further picks are not allowed.\n",
+              "  inputElement.disabled = true;\n",
+              "\n",
+              "  if (!files) {\n",
+              "    return {\n",
+              "      response: {\n",
+              "        action: 'complete',\n",
+              "      }\n",
+              "    };\n",
+              "  }\n",
+              "\n",
+              "  for (const file of files) {\n",
+              "    const li = document.createElement('li');\n",
+              "    li.append(span(file.name, {fontWeight: 'bold'}));\n",
+              "    li.append(span(\n",
+              "        `(${file.type || 'n/a'}) - ${file.size} bytes, ` +\n",
+              "        `last modified: ${\n",
+              "            file.lastModifiedDate ? file.lastModifiedDate.toLocaleDateString() :\n",
+              "                                    'n/a'} - `));\n",
+              "    const percent = span('0% done');\n",
+              "    li.appendChild(percent);\n",
+              "\n",
+              "    outputElement.appendChild(li);\n",
+              "\n",
+              "    const fileDataPromise = new Promise((resolve) => {\n",
+              "      const reader = new FileReader();\n",
+              "      reader.onload = (e) => {\n",
+              "        resolve(e.target.result);\n",
+              "      };\n",
+              "      reader.readAsArrayBuffer(file);\n",
+              "    });\n",
+              "    // Wait for the data to be ready.\n",
+              "    let fileData = yield {\n",
+              "      promise: fileDataPromise,\n",
+              "      response: {\n",
+              "        action: 'continue',\n",
+              "      }\n",
+              "    };\n",
+              "\n",
+              "    // Use a chunked sending to avoid message size limits. See b/62115660.\n",
+              "    let position = 0;\n",
+              "    do {\n",
+              "      const length = Math.min(fileData.byteLength - position, MAX_PAYLOAD_SIZE);\n",
+              "      const chunk = new Uint8Array(fileData, position, length);\n",
+              "      position += length;\n",
+              "\n",
+              "      const base64 = btoa(String.fromCharCode.apply(null, chunk));\n",
+              "      yield {\n",
+              "        response: {\n",
+              "          action: 'append',\n",
+              "          file: file.name,\n",
+              "          data: base64,\n",
+              "        },\n",
+              "      };\n",
+              "\n",
+              "      let percentDone = fileData.byteLength === 0 ?\n",
+              "          100 :\n",
+              "          Math.round((position / fileData.byteLength) * 100);\n",
+              "      percent.textContent = `${percentDone}% done`;\n",
+              "\n",
+              "    } while (position < fileData.byteLength);\n",
+              "  }\n",
+              "\n",
+              "  // All done.\n",
+              "  yield {\n",
+              "    response: {\n",
+              "      action: 'complete',\n",
+              "    }\n",
+              "  };\n",
+              "}\n",
+              "\n",
+              "scope.google = scope.google || {};\n",
+              "scope.google.colab = scope.google.colab || {};\n",
+              "scope.google.colab._files = {\n",
+              "  _uploadFiles,\n",
+              "  _uploadFilesContinue,\n",
+              "};\n",
+              "})(self);\n",
+              "</script> "
+            ]
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "No model was supplied, defaulted to distilbert/distilbert-base-cased-distilled-squad and revision 626af31 (https://huggingface.co/distilbert/distilbert-base-cased-distilled-squad).\n",
+            "Using a pipeline without specifying a model name and revision in production is not recommended.\n"
+          ]
+        },
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Saving s10502-022-09396-1 (1).pdf to s10502-022-09396-1 (1) (2).pdf\n"
+          ]
+        },
+        {
+          "output_type": "stream",
+          "name": "stderr",
+          "text": [
+            "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:88: 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": "display_data",
+          "data": {
+            "text/plain": [
+              "config.json:   0%|          | 0.00/473 [00:00<?, ?B/s]"
+            ],
+            "application/vnd.jupyter.widget-view+json": {
+              "version_major": 2,
+              "version_minor": 0,
+              "model_id": "9d4bcf8c5a55439c84d5a0bde70c744f"
+            }
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "model.safetensors:   0%|          | 0.00/261M [00:00<?, ?B/s]"
+            ],
+            "application/vnd.jupyter.widget-view+json": {
+              "version_major": 2,
+              "version_minor": 0,
+              "model_id": "6a7c4a58ed904b20bfe9cbe09b1c140c"
+            }
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "tokenizer_config.json:   0%|          | 0.00/29.0 [00:00<?, ?B/s]"
+            ],
+            "application/vnd.jupyter.widget-view+json": {
+              "version_major": 2,
+              "version_minor": 0,
+              "model_id": "44c58296ffe84c9d8a0596addce8c33c"
+            }
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "vocab.txt:   0%|          | 0.00/213k [00:00<?, ?B/s]"
+            ],
+            "application/vnd.jupyter.widget-view+json": {
+              "version_major": 2,
+              "version_minor": 0,
+              "model_id": "fed76e90cabd4934855b17663234ee30"
+            }
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "tokenizer.json:   0%|          | 0.00/436k [00:00<?, ?B/s]"
+            ],
+            "application/vnd.jupyter.widget-view+json": {
+              "version_major": 2,
+              "version_minor": 0,
+              "model_id": "ee9781a2879d404f834150670b67a185"
+            }
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Archival Science\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import re\n",
+        "\n",
+        "def validate_year(year):\n",
+        "    year_pattern = re.compile(r'^\\d{4}$')\n",
+        "    if year_pattern.match(year):\n",
+        "        return True\n",
+        "    else:\n",
+        "        return False\n",
+        "\n",
+        "year = '2023'\n",
+        "is_valid = validate_year(year)\n",
+        "print(is_valid)\n"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "esUCqYGYDitD",
+        "outputId": "69aebd15-8e66-45a6-d644-32cfb739723a"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "True\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import sqlite3\n",
+        "from sqlite3 import Error\n",
+        "import re\n",
+        "from PyPDF2 import PdfReader\n",
+        "from google.colab import files\n",
+        "from transformers import pipeline\n",
+        "\n",
+        "def create_connection(db_file):\n",
+        "    conn = None\n",
+        "    try:\n",
+        "        conn = sqlite3.connect(db_file)\n",
+        "        return conn\n",
+        "    except Error as e:\n",
+        "        print(e)\n",
+        "    return conn\n",
+        "\n",
+        "def create_table(conn, create_table_sql):\n",
+        "    try:\n",
+        "        c = conn.cursor()\n",
+        "        c.execute(create_table_sql)\n",
+        "    except Error as e:\n",
+        "        print(e)\n",
+        "\n",
+        "def insert_article(conn, article):\n",
+        "    sql = ''' INSERT INTO articles(title,author,year)\n",
+        "              VALUES(?,?,?) '''\n",
+        "    cur = conn.cursor()\n",
+        "    cur.execute(sql, article)\n",
+        "    return cur.lastrowid\n",
+        "\n",
+        "def extract_text_from_pdf(pdf_path):\n",
+        "    with open(pdf_path, 'rb') as f:\n",
+        "        reader = PdfReader(f)\n",
+        "        text = ''\n",
+        "        for page_num in range(len(reader.pages)):\n",
+        "            text += reader.pages[page_num].extract_text()\n",
+        "    return text\n",
+        "\n",
+        "def extract_information(text):\n",
+        "    nlp = pipeline(\"question-answering\")\n",
+        "    result = nlp(question=\"What is the study about?\", context=text)\n",
+        "    return result['answer']\n",
+        "\n",
+        "def extract_metadata(pdf_path):\n",
+        "    with open(pdf_path, 'rb') as f:\n",
+        "        reader = PdfReader(f)\n",
+        "        info = reader.metadata\n",
+        "        title = info.get('/Title', None)\n",
+        "        author = info.get('/Author', None)\n",
+        "        year = info.get('/CreationDate', None)\n",
+        "        if year:\n",
+        "            year = int(re.search(r'\\d{4}', year).group())\n",
+        "\n",
+        "    return {'title': title, 'author': author, 'year': year}\n",
+        "\n",
+        "uploaded = files.upload()\n",
+        "\n",
+        "database = 'articles.db'\n",
+        "conn = create_connection(database)\n",
+        "create_table_sql = \"\"\"\n",
+        "CREATE TABLE IF NOT EXISTS articles (\n",
+        "    id INTEGER PRIMARY KEY,\n",
+        "    title TEXT NOT NULL,\n",
+        "    author TEXT NOT NULL,\n",
+        "    year INTEGER\n",
+        ");\n",
+        "\"\"\"\n",
+        "if conn is not None:\n",
+        "    create_table(conn, create_table_sql)\n",
+        "else:\n",
+        "    print(\"Error! cannot create the database connection.\")\n",
+        "\n",
+        "for filename in uploaded.keys():\n",
+        "    pdf_text = extract_text_from_pdf(filename)\n",
+        "    metadata = extract_metadata(filename)\n",
+        "    metadata['year'] = metadata['year'] if metadata['year'] else 0\n",
+        "    metadata_tuple = (metadata['title'], metadata['author'], metadata['year'])\n",
+        "    article_id = insert_article(conn, metadata_tuple)\n",
+        "    print(\"Inserted article ID:\", article_id)\n",
+        "\n",
+        "conn.commit()\n",
+        "conn.close()\n"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 91
+        },
+        "id": "P5rqWRCGEvtD",
+        "outputId": "a70f7303-e822-4c67-ebd3-f3d7ed4e1f5e"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<IPython.core.display.HTML object>"
+            ],
+            "text/html": [
+              "\n",
+              "     <input type=\"file\" id=\"files-a230f010-6273-4640-836f-2247b76895b0\" name=\"files[]\" multiple disabled\n",
+              "        style=\"border:none\" />\n",
+              "     <output id=\"result-a230f010-6273-4640-836f-2247b76895b0\">\n",
+              "      Upload widget is only available when the cell has been executed in the\n",
+              "      current browser session. Please rerun this cell to enable.\n",
+              "      </output>\n",
+              "      <script>// Copyright 2017 Google LLC\n",
+              "//\n",
+              "// Licensed under the Apache License, Version 2.0 (the \"License\");\n",
+              "// you may not use this file except in compliance with the License.\n",
+              "// You may obtain a copy of the License at\n",
+              "//\n",
+              "//      http://www.apache.org/licenses/LICENSE-2.0\n",
+              "//\n",
+              "// Unless required by applicable law or agreed to in writing, software\n",
+              "// distributed under the License is distributed on an \"AS IS\" BASIS,\n",
+              "// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
+              "// See the License for the specific language governing permissions and\n",
+              "// limitations under the License.\n",
+              "\n",
+              "/**\n",
+              " * @fileoverview Helpers for google.colab Python module.\n",
+              " */\n",
+              "(function(scope) {\n",
+              "function span(text, styleAttributes = {}) {\n",
+              "  const element = document.createElement('span');\n",
+              "  element.textContent = text;\n",
+              "  for (const key of Object.keys(styleAttributes)) {\n",
+              "    element.style[key] = styleAttributes[key];\n",
+              "  }\n",
+              "  return element;\n",
+              "}\n",
+              "\n",
+              "// Max number of bytes which will be uploaded at a time.\n",
+              "const MAX_PAYLOAD_SIZE = 100 * 1024;\n",
+              "\n",
+              "function _uploadFiles(inputId, outputId) {\n",
+              "  const steps = uploadFilesStep(inputId, outputId);\n",
+              "  const outputElement = document.getElementById(outputId);\n",
+              "  // Cache steps on the outputElement to make it available for the next call\n",
+              "  // to uploadFilesContinue from Python.\n",
+              "  outputElement.steps = steps;\n",
+              "\n",
+              "  return _uploadFilesContinue(outputId);\n",
+              "}\n",
+              "\n",
+              "// This is roughly an async generator (not supported in the browser yet),\n",
+              "// where there are multiple asynchronous steps and the Python side is going\n",
+              "// to poll for completion of each step.\n",
+              "// This uses a Promise to block the python side on completion of each step,\n",
+              "// then passes the result of the previous step as the input to the next step.\n",
+              "function _uploadFilesContinue(outputId) {\n",
+              "  const outputElement = document.getElementById(outputId);\n",
+              "  const steps = outputElement.steps;\n",
+              "\n",
+              "  const next = steps.next(outputElement.lastPromiseValue);\n",
+              "  return Promise.resolve(next.value.promise).then((value) => {\n",
+              "    // Cache the last promise value to make it available to the next\n",
+              "    // step of the generator.\n",
+              "    outputElement.lastPromiseValue = value;\n",
+              "    return next.value.response;\n",
+              "  });\n",
+              "}\n",
+              "\n",
+              "/**\n",
+              " * Generator function which is called between each async step of the upload\n",
+              " * process.\n",
+              " * @param {string} inputId Element ID of the input file picker element.\n",
+              " * @param {string} outputId Element ID of the output display.\n",
+              " * @return {!Iterable<!Object>} Iterable of next steps.\n",
+              " */\n",
+              "function* uploadFilesStep(inputId, outputId) {\n",
+              "  const inputElement = document.getElementById(inputId);\n",
+              "  inputElement.disabled = false;\n",
+              "\n",
+              "  const outputElement = document.getElementById(outputId);\n",
+              "  outputElement.innerHTML = '';\n",
+              "\n",
+              "  const pickedPromise = new Promise((resolve) => {\n",
+              "    inputElement.addEventListener('change', (e) => {\n",
+              "      resolve(e.target.files);\n",
+              "    });\n",
+              "  });\n",
+              "\n",
+              "  const cancel = document.createElement('button');\n",
+              "  inputElement.parentElement.appendChild(cancel);\n",
+              "  cancel.textContent = 'Cancel upload';\n",
+              "  const cancelPromise = new Promise((resolve) => {\n",
+              "    cancel.onclick = () => {\n",
+              "      resolve(null);\n",
+              "    };\n",
+              "  });\n",
+              "\n",
+              "  // Wait for the user to pick the files.\n",
+              "  const files = yield {\n",
+              "    promise: Promise.race([pickedPromise, cancelPromise]),\n",
+              "    response: {\n",
+              "      action: 'starting',\n",
+              "    }\n",
+              "  };\n",
+              "\n",
+              "  cancel.remove();\n",
+              "\n",
+              "  // Disable the input element since further picks are not allowed.\n",
+              "  inputElement.disabled = true;\n",
+              "\n",
+              "  if (!files) {\n",
+              "    return {\n",
+              "      response: {\n",
+              "        action: 'complete',\n",
+              "      }\n",
+              "    };\n",
+              "  }\n",
+              "\n",
+              "  for (const file of files) {\n",
+              "    const li = document.createElement('li');\n",
+              "    li.append(span(file.name, {fontWeight: 'bold'}));\n",
+              "    li.append(span(\n",
+              "        `(${file.type || 'n/a'}) - ${file.size} bytes, ` +\n",
+              "        `last modified: ${\n",
+              "            file.lastModifiedDate ? file.lastModifiedDate.toLocaleDateString() :\n",
+              "                                    'n/a'} - `));\n",
+              "    const percent = span('0% done');\n",
+              "    li.appendChild(percent);\n",
+              "\n",
+              "    outputElement.appendChild(li);\n",
+              "\n",
+              "    const fileDataPromise = new Promise((resolve) => {\n",
+              "      const reader = new FileReader();\n",
+              "      reader.onload = (e) => {\n",
+              "        resolve(e.target.result);\n",
+              "      };\n",
+              "      reader.readAsArrayBuffer(file);\n",
+              "    });\n",
+              "    // Wait for the data to be ready.\n",
+              "    let fileData = yield {\n",
+              "      promise: fileDataPromise,\n",
+              "      response: {\n",
+              "        action: 'continue',\n",
+              "      }\n",
+              "    };\n",
+              "\n",
+              "    // Use a chunked sending to avoid message size limits. See b/62115660.\n",
+              "    let position = 0;\n",
+              "    do {\n",
+              "      const length = Math.min(fileData.byteLength - position, MAX_PAYLOAD_SIZE);\n",
+              "      const chunk = new Uint8Array(fileData, position, length);\n",
+              "      position += length;\n",
+              "\n",
+              "      const base64 = btoa(String.fromCharCode.apply(null, chunk));\n",
+              "      yield {\n",
+              "        response: {\n",
+              "          action: 'append',\n",
+              "          file: file.name,\n",
+              "          data: base64,\n",
+              "        },\n",
+              "      };\n",
+              "\n",
+              "      let percentDone = fileData.byteLength === 0 ?\n",
+              "          100 :\n",
+              "          Math.round((position / fileData.byteLength) * 100);\n",
+              "      percent.textContent = `${percentDone}% done`;\n",
+              "\n",
+              "    } while (position < fileData.byteLength);\n",
+              "  }\n",
+              "\n",
+              "  // All done.\n",
+              "  yield {\n",
+              "    response: {\n",
+              "      action: 'complete',\n",
+              "    }\n",
+              "  };\n",
+              "}\n",
+              "\n",
+              "scope.google = scope.google || {};\n",
+              "scope.google.colab = scope.google.colab || {};\n",
+              "scope.google.colab._files = {\n",
+              "  _uploadFiles,\n",
+              "  _uploadFilesContinue,\n",
+              "};\n",
+              "})(self);\n",
+              "</script> "
+            ]
+          },
+          "metadata": {}
+        },
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Saving s10502-022-09396-1 (1).pdf to s10502-022-09396-1 (1) (3).pdf\n",
+            "Inserted article ID: 1\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import sqlite3\n",
+        "\n",
+        "database = 'articles.db'\n",
+        "conn = sqlite3.connect(database)\n",
+        "\n",
+        "def show_table(conn, table_name):\n",
+        "    cursor = conn.cursor()\n",
+        "    cursor.execute(f\"SELECT * FROM {table_name}\")\n",
+        "    rows = cursor.fetchall()\n",
+        "    for row in rows:\n",
+        "        print(row)\n",
+        "\n",
+        "show_table(conn, 'articles')\n",
+        "\n",
+        "conn.close()\n"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "KpCxaVBJE2fr",
+        "outputId": "56e55b75-8eaa-4e42-cea3-0f62e6f2186b"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "(1, 'Sample Title', 'John Doe', 2023)\n",
+            "(2, 'Introduction: challenges and prospects of born-digital and digitized archives in the digital humanities', 'Lise Jaillant ', 2022)\n",
+            "(3, 'Introduction: challenges and prospects of born-digital and digitized archives in the digital humanities', 'Lise Jaillant ', 2022)\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import sqlite3\n",
+        "\n",
+        "# Function to create a database connection\n",
+        "def create_connection(db_file):\n",
+        "    conn = None\n",
+        "    try:\n",
+        "        conn = sqlite3.connect(db_file)\n",
+        "        return conn\n",
+        "    except sqlite3.Error as e:\n",
+        "        print(e)\n",
+        "    return conn\n",
+        "\n",
+        "# Function to create a table in the database\n",
+        "def create_table(conn, create_table_sql):\n",
+        "    try:\n",
+        "        c = conn.cursor()\n",
+        "        c.execute(create_table_sql)\n",
+        "    except sqlite3.Error as e:\n",
+        "        print(e)\n",
+        "\n",
+        "# Connect to the database\n",
+        "database = 'articles.db'\n",
+        "conn = create_connection(database)\n",
+        "\n",
+        "# Define the SQL statement to create the articles table\n",
+        "create_table_sql = \"\"\"\n",
+        "CREATE TABLE IF NOT EXISTS articles (\n",
+        "    id INTEGER PRIMARY KEY,\n",
+        "    title TEXT NOT NULL,\n",
+        "    year INTEGER,\n",
+        "    journal TEXT,\n",
+        "    authors TEXT,\n",
+        "    abstract TEXT,\n",
+        "    introduction TEXT,\n",
+        "    methodology TEXT,\n",
+        "    results TEXT,\n",
+        "    conclusions TEXT,\n",
+        "    keywords TEXT\n",
+        ");\n",
+        "\"\"\"\n",
+        "\n",
+        "# Create the articles table\n",
+        "if conn is not None:\n",
+        "    create_table(conn, create_table_sql)\n",
+        "    print(\"Table created successfully.\")\n",
+        "else:\n",
+        "    print(\"Error! Cannot create the database connection.\")\n",
+        "\n",
+        "# Close the database connection\n",
+        "conn.close()\n"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "q-Enmn9HKvo3",
+        "outputId": "7eed29f6-f6b8-4524-983a-8bd41364f9c9"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Table created successfully.\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import sqlite3\n",
+        "\n",
+        "# Function to create a database connection\n",
+        "def create_connection(db_file):\n",
+        "    conn = None\n",
+        "    try:\n",
+        "        conn = sqlite3.connect(db_file)\n",
+        "        return conn\n",
+        "    except sqlite3.Error as e:\n",
+        "        print(e)\n",
+        "    return conn\n",
+        "\n",
+        "# Function to create a table in the database\n",
+        "def create_table(conn, create_table_sql):\n",
+        "    try:\n",
+        "        c = conn.cursor()\n",
+        "        c.execute(create_table_sql)\n",
+        "    except sqlite3.Error as e:\n",
+        "        print(e)\n",
+        "\n",
+        "# Function to display the schema of the database table\n",
+        "def display_table_schema(conn, table_name):\n",
+        "    cursor = conn.cursor()\n",
+        "    cursor.execute(f\"PRAGMA table_info({table_name})\")\n",
+        "    rows = cursor.fetchall()\n",
+        "    print(\"Table Schema:\")\n",
+        "    for row in rows:\n",
+        "        print(row)\n",
+        "\n",
+        "# Function to display the contents of the database table\n",
+        "def display_table_contents(conn, table_name):\n",
+        "    cursor = conn.cursor()\n",
+        "    cursor.execute(f\"SELECT * FROM {table_name}\")\n",
+        "    rows = cursor.fetchall()\n",
+        "    print(\"\\nTable Contents:\")\n",
+        "    for row in rows:\n",
+        "        print(row)\n",
+        "\n",
+        "# Connect to the database\n",
+        "database = 'articles.db'\n",
+        "conn = create_connection(database)\n",
+        "\n",
+        "# Define the SQL statement to create the articles table\n",
+        "create_table_sql = \"\"\"\n",
+        "CREATE TABLE IF NOT EXISTS articles (\n",
+        "    id INTEGER PRIMARY KEY,\n",
+        "    title TEXT NOT NULL,\n",
+        "    year INTEGER,\n",
+        "    journal TEXT,\n",
+        "    authors TEXT,\n",
+        "    abstract TEXT,\n",
+        "    introduction TEXT,\n",
+        "    methodology TEXT,\n",
+        "    results TEXT,\n",
+        "    conclusions TEXT,\n",
+        "    keywords TEXT\n",
+        ");\n",
+        "\"\"\"\n",
+        "\n",
+        "# Create the articles table\n",
+        "if conn is not None:\n",
+        "    create_table(conn, create_table_sql)\n",
+        "    print(\"Table created successfully.\")\n",
+        "else:\n",
+        "    print(\"Error! Cannot create the database connection.\")\n",
+        "\n",
+        "# Display the table schema\n",
+        "display_table_schema(conn, 'articles')\n",
+        "\n",
+        "# Close the database connection\n",
+        "conn.close()\n"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "FrFuApEmK5Zx",
+        "outputId": "1e64df11-b005-4907-ca9d-b507ea140463"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Table created successfully.\n",
+            "Table Schema:\n",
+            "(0, 'id', 'INTEGER', 0, None, 1)\n",
+            "(1, 'title', 'TEXT', 1, None, 0)\n",
+            "(2, 'author', 'TEXT', 1, None, 0)\n",
+            "(3, 'year', 'INTEGER', 0, None, 0)\n"
+          ]
+        }
+      ]
+    }
+  ]
+}
\ No newline at end of file

From 3061bf5802b7cbc770b0e64f8b53e7608b0afc22 Mon Sep 17 00:00:00 2001
From: vrindha007 <83335987+vrindha007@users.noreply.github.com>
Date: Sun, 5 May 2024 18:10:07 +0530
Subject: [PATCH 2/3] Rename Letter.docx to VRINDHA K-Letter.docx

---
 Letter.docx => VRINDHA K-Letter.docx | Bin
 1 file changed, 0 insertions(+), 0 deletions(-)
 rename Letter.docx => VRINDHA K-Letter.docx (100%)

diff --git a/Letter.docx b/VRINDHA K-Letter.docx
similarity index 100%
rename from Letter.docx
rename to VRINDHA K-Letter.docx

From ab779b8d41d826573e84e88f8a81a104c03503f2 Mon Sep 17 00:00:00 2001
From: Vrindha K <vrindhavasanthakumar@gmail.com>
Date: Sun, 5 May 2024 18:22:45 +0530
Subject: [PATCH 3/3] Internship Application

---
 .../VRINDHA K-Letter.docx                           | Bin
 .../VRINDHA_K (1).ipynb                             |   0
 2 files changed, 0 insertions(+), 0 deletions(-)
 rename VRINDHA K-Letter.docx => Vrindha K/VRINDHA K-Letter.docx (100%)
 rename VRINDHA_K (1).ipynb => Vrindha K/VRINDHA_K (1).ipynb (100%)

diff --git a/VRINDHA K-Letter.docx b/Vrindha K/VRINDHA K-Letter.docx
similarity index 100%
rename from VRINDHA K-Letter.docx
rename to Vrindha K/VRINDHA K-Letter.docx
diff --git a/VRINDHA_K (1).ipynb b/Vrindha K/VRINDHA_K (1).ipynb
similarity index 100%
rename from VRINDHA_K (1).ipynb
rename to Vrindha K/VRINDHA_K (1).ipynb