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  "cells": [
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      "source": [
        "<a href=\"https://colab.research.google.com/github/miller00315/ia_studies/blob/main/Resumo.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "metadata": {
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          "text": [
            "Requirement already satisfied: transformers in /usr/local/lib/python3.10/dist-packages (4.38.2)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers) (3.13.1)\n",
            "Requirement already satisfied: huggingface-hub<1.0,>=0.19.3 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.20.3)\n",
            "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (1.25.2)\n",
            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers) (24.0)\n",
            "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (6.0.1)\n",
            "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (2023.12.25)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers) (2.31.0)\n",
            "Requirement already satisfied: tokenizers<0.19,>=0.14 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.15.2)\n",
            "Requirement already satisfied: safetensors>=0.4.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (0.4.2)\n",
            "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers) (4.66.2)\n",
            "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.19.3->transformers) (2023.6.0)\n",
            "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.19.3->transformers) (4.10.0)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.3.2)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.6)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2.0.7)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2024.2.2)\n"
          ]
        }
      ],
      "source": [
        "!pip install transformers"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import transformers\n",
        "from transformers import pipeline"
      ],
      "metadata": {
        "id": "2JyB2vTMJQZi"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
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      "source": [
        "resumir = pipeline('summarization')"
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        "outputId": "0012fab2-8e98-4028-ed0f-c207251bdae1"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
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          "text": [
            "No model was supplied, defaulted to sshleifer/distilbart-cnn-12-6 and revision a4f8f3e (https://huggingface.co/sshleifer/distilbart-cnn-12-6).\n",
            "Using a pipeline without specifying a model name and revision in production is not recommended.\n",
            "/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"
          ]
        },
        {
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      "source": [
        "text =  '''\n",
        "Em linguística, a noção de texto é ampla e ainda aberta a uma definição mais precisa. Grosso modo, pode ser entendido como manifestação linguística das ideias de um autor, que serão interpretadas pelo leitor de acordo com seus conhecimentos linguísticos e culturais. Seu tamanho é variável.\n",
        "\n",
        "“Conjunto de palavras e frases articuladas, escritas sobre qualquer suporte”.[1]\n",
        "\n",
        "“Obra escrita considerada na sua redação original e autêntica (por oposição a sumário, tradução, notas, comentários, etc.)”.[2]\n",
        "\n",
        "\"Um texto é uma ocorrência linguística, escrita ou falada de qualquer extensão, dotada de unidade sociocomunicativa, semântica e formal. É uma unidade de linguagem em uso.\"[3]\n",
        "\n",
        "O interesse pelo texto como objeto de estudo gerou vários trabalhos importantes de teóricos da Linguística Textual, que percorreram fases diversas cujas características principais eram transpor os limites da frase descontextualizada da gramática tradicional e ainda incluir os relevantes papéis do autor e do leitor na construção de textos.\n",
        "\n",
        "Um texto pode ser escrito ou oral e, em sentido lato, pode ser também não verbal.\n",
        "\n",
        "Texto crítico é uma produção textual que parte de um processo reflexivo e analítico gerando um conteúdo com crítica construtiva e bem fundamentada.\n",
        "\n",
        "Em artes gráficas, o texto é a parte verbal, linguística, por oposição às ilustrações.\n",
        "\n",
        "Todo texto tem que ter alguns aspectos formais, ou seja, tem que ter estrutura, elementos que estabelecem relação entre si. Dentro dos aspectos formais temos a coesão e a coerência, que dão sentido e forma ao texto. \"A coesão textual é a relação, a ligação, a conexão entre as palavras, expressões ou frases do texto”.[4] A coerência está relacionada com a compreensão, a interpretação do que se diz ou escreve. Um texto precisa ter sentido, isto é, precisa ter coerência. Embora a coesão não seja condição suficiente para que enunciados se constituam em textos, são os elementos coesivos que lhes dão maior legibilidade e evidenciam as relações entre seus diversos componentes, a coerência depende da coesão.\n",
        "'''\n",
        "\n"
      ],
      "metadata": {
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      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "resumo = resumir(text, max_length=100, min_length=50)"
      ],
      "metadata": {
        "id": "x1NfgVWZJGp_"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(resumo)"
      ],
      "metadata": {
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          "base_uri": "https://localhost:8080/"
        },
        "id": "GqBZWu-qLnnA",
        "outputId": "b8dedfe1-4604-4efd-e1a4-77846b5c6e55"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[{'summary_text': ' A noção de texto is ampla e ainda aberta a uma definição mais precisa . Texto pode ser entendido como manifestação linguística das ideias de um autor, that serão interpretadas pelo leitor de acordo com seus conhecimentos linguísticos e culturais .'}]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "TYT1-S-5JGmy"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "V8EqsrAuJGj4"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}