GeradordeTermo.ipynb

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        "#GERADOR DE TERMOS\n",
        "![assai.png](data:image/png;base64,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)"
      ],
      "metadata": {
        "id": "w1B7cYdj5hwX"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# @title\n",
        "# Importe a biblioteca ipywidgets\n",
        "!pip install python-docx\n",
        "\n",
        "import ipywidgets as widgets\n",
        "from docx import Document\n",
        "\n",
        "def gerar_termo_e_salvar(nome, matricula, modelo, codigo_interno, numero_serie):\n",
        "   document = Document(\"/content/modelo.docx\")  # Substitua pelo caminho do seu modelo Word\n",
        "   # Substitua os marcadores no modelo Word pelos valores fornecidos pelo usuário\n",
        "   for p in document.paragraphs:\n",
        "       if \"<NOME>\" in p.text:\n",
        "           p.text = p.text.replace(\"<NOME>\", nome)\n",
        "       if \"<MATRICULA>\" in p.text:\n",
        "           p.text = p.text.replace(\"<MATRICULA>\", matricula)\n",
        "       if \"<MODELO>\" in p.text:\n",
        "           p.text = p.text.replace(\"<MODELO>\", modelo)\n",
        "       if \"<CODIGO_INTERNO>\" in p.text:\n",
        "           p.text = p.text.replace(\"<CODIGO_INTERNO>\", codigo_interno)\n",
        "       if \"<NUMERO_SERIE>\" in p.text:\n",
        "           p.text = p.text.replace(\"<NUMERO_SERIE>\", numero_serie)\n",
        "\n",
        "   nome_arquivo = f\"{nome}_{matricula}_{numero_serie}.docx\"  # Nome do arquivo com o formato especificado\n",
        "   document.save(nome_arquivo)\n",
        "\n",
        "   # Exibir mensagem de sucesso\n",
        "   print(f\"Termo de responsabilidade gerado e salvo como {nome_arquivo}\")\n",
        "\n",
        "def on_button_click(button):\n",
        "   nome = nome_input.value\n",
        "   matricula = matricula_input.value\n",
        "   modelo = modelo_input.value\n",
        "   codigo_interno = codigo_interno_input.value\n",
        "   numero_serie = numero_serie_input.value\n",
        "\n",
        "   gerar_termo_e_salvar(nome, matricula, modelo, codigo_interno, numero_serie)\n",
        "\n",
        "   # Limpar os campos de entrada\n",
        "   nome_input.value = \"\"\n",
        "   matricula_input.value = \"\"\n",
        "   modelo_input.value = \"\"\n",
        "   codigo_interno_input.value = \"\"\n",
        "   numero_serie_input.value = \"\"\n",
        "\n",
        "# Crie os widgets de entrada\n",
        "nome_input = widgets.Text(\n",
        "   description='Nome:',\n",
        "   placeholder='Digite seu nome',\n",
        "   style={'description_width': 'initial'})\n",
        "matricula_input = widgets.Text(\n",
        "   description='Matrícula:',\n",
        "   placeholder='Digite sua matrícula',\n",
        "   style={'description_width': 'initial'})\n",
        "modelo_input = widgets.Text(\n",
        "   description='Modelo:',\n",
        "   placeholder='Digite o modelo do equipamento',\n",
        "   style={'description_width': 'initial'})\n",
        "codigo_interno_input = widgets.Text(\n",
        "   description='Código Interno:',\n",
        "   placeholder='Digite o código interno do equipamento',\n",
        "   style={'description_width': 'initial'})\n",
        "numero_serie_input = widgets.Text(\n",
        "   description='Número de Série:',\n",
        "   placeholder='Digite o número de série do equipamento',\n",
        "   style={'description_width': 'initial'})\n",
        "\n",
        "# Crie o botão\n",
        "button = widgets.Button(\n",
        "   description='Gerar e Salvar Termo',\n",
        "   disabled=False,\n",
        "   button_style='', # 'success', 'info', 'warning', 'danger' or ''\n",
        "   tooltip='Clique para gerar e salvar o termo de responsabilidade',\n",
        "   icon='')\n",
        "\n",
        "# Conecte o evento de clique do botão à função\n",
        "button.on_click(on_button_click)\n",
        "\n",
        "# Crie o layout\n",
        "layout = widgets.VBox([nome_input, matricula_input, modelo_input, codigo_interno_input, numero_serie_input, button])\n",
        "\n",
        "# Exiba o layout\n",
        "display(layout)\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 261,
          "referenced_widgets": [
            "d64129c7685948c7a42eb9c00035075e",
            "3c9c84b4b5cd4c3f933734435eb91199",
            "9eba85267caa44bf91495daa0d1a6659",
            "2ae37ca718a6412a94969f47e636eeb4",
            "365c63d20a7e44a1af4a0a1611c837a4",
            "2201deb4a6844afea196273201f19b4c",
            "45a2ad53ac144ec2a9a18c6d8d9fa871",
            "e62a5c81601c46449be12761dd23b09d",
            "81e1a0ddb4d046bf8971d3c44c519a8f",
            "578b7e4a39b14638ba4f40fb4a2af009",
            "749b87c031994dbb9819bbbe25c0a54a",
            "ae73f943bdf54354b4e5c9d2c6a45370",
            "49a76f66be934229a0f5755610c48f29",
            "3c0668305b52487cae78c2d055e1eea1",
            "418a1f40790b4f04b8cbd642b74f7ddc",
            "1a8d9618584348089116ea5117d8fd52",
            "f0b311c2b12e412c8ffd6e063ed63b69",
            "80d40b16989748529b27a8966383c508",
            "a4232369b1444adca21b0f2370981740",
            "94af166d40044f3cb7f9e885d83b5a79"
          ]
        },
        "cellView": "form",
        "id": "JxDGus5b5cks",
        "outputId": "2780d4ee-9d6e-4d66-9621-5b11b2e6ef59"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: python-docx in /usr/local/lib/python3.10/dist-packages (1.1.0)\n",
            "Requirement already satisfied: lxml>=3.1.0 in /usr/local/lib/python3.10/dist-packages (from python-docx) (4.9.4)\n",
            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.10/dist-packages (from python-docx) (4.10.0)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "VBox(children=(Text(value='', description='Nome:', placeholder='Digite seu nome', style=DescriptionStyle(descr…"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "d64129c7685948c7a42eb9c00035075e"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 106
        },
        "id": "YeCrGVxH6l1O",
        "outputId": "2614e14d-0783-40f7-bdf7-b0119922c6db"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "error",
          "ename": "SyntaxError",
          "evalue": "invalid syntax (<ipython-input-7-a67d52b14d63>, line 1)",
          "traceback": [
            "\u001b[0;36m  File \u001b[0;32m\"<ipython-input-7-a67d52b14d63>\"\u001b[0;36m, line \u001b[0;32m1\u001b[0m\n\u001b[0;31m    ```python\u001b[0m\n\u001b[0m    ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m invalid syntax\n"
          ]
        }
      ]
    }
  ]
}