Google_Colab/Identify_topics_and_key_messages.ipynb

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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/sdx0112/Chinese-Topic-Modelling/blob/main/Identify_topics_and_key_messages.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Extract topics and key messages"
      ],
      "metadata": {
        "id": "pLeWpBI6MeJL"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "p12ZOvP6MKju",
        "outputId": "8531451f-1aff-49dc-b9b6-3f827195fbf0"
      },
      "outputs": [
        {
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          "text": [
            "Cloning into 'ChatGLM2-6B'...\n",
            "remote: Enumerating objects: 205, done.\u001b[K\n",
            "remote: Counting objects: 100% (109/109), done.\u001b[K\n",
            "remote: Compressing objects: 100% (59/59), done.\u001b[K\n",
            "remote: Total 205 (delta 79), reused 59 (delta 50), pack-reused 96\u001b[K\n",
            "Receiving objects: 100% (205/205), 7.36 MiB | 6.79 MiB/s, done.\n",
            "Resolving deltas: 100% (106/106), done.\n"
          ]
        }
      ],
      "source": [
        "!git clone https://github.com/THUDM/ChatGLM2-6B"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "os.chdir('/content/ChatGLM2-6B')"
      ],
      "metadata": {
        "id": "1Xfd_snYMkkL"
      },
      "execution_count": 2,
      "outputs": []
    },
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        "id": "-hnhoLkhNI22",
        "outputId": "59927810-fa84-47e1-c05e-54824ddbd335"
      },
      "execution_count": 8,
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            "Collecting transformers==4.30.2 (from -r requirements.txt (line 2))\n",
            "  Downloading transformers-4.30.2-py3-none-any.whl (7.2 MB)\n",
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            "\u001b[?25hCollecting cpm_kernels (from -r requirements.txt (line 3))\n",
            "  Downloading cpm_kernels-1.0.11-py3-none-any.whl (416 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m416.6/416.6 kB\u001b[0m \u001b[31m35.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: torch>=2.0 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 4)) (2.0.1+cu118)\n",
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            "  Downloading gradio-3.36.1-py3-none-any.whl (19.8 MB)\n",
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            "\u001b[?25hCollecting mdtex2html (from -r requirements.txt (line 6))\n",
            "  Downloading mdtex2html-1.2.0-py3-none-any.whl (13 kB)\n",
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            "\u001b[?25hCollecting accelerate (from -r requirements.txt (line 8))\n",
            "  Downloading accelerate-0.21.0-py3-none-any.whl (244 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m244.2/244.2 kB\u001b[0m \u001b[31m24.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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            "  Downloading sse_starlette-1.6.1-py3-none-any.whl (9.6 kB)\n",
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            "\u001b[?25hBuilding wheels for collected packages: validators, ffmpy\n",
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            "Successfully built validators ffmpy\n",
            "Installing collected packages: tokenizers, sentencepiece, safetensors, pydub, ffmpy, cpm_kernels, websockets, watchdog, validators, uc-micro-py, tzdata, smmap, semantic-version, python-multipart, pympler, orjson, markdown-it-py, latex2mathml, importlib-metadata, h11, blinker, aiofiles, uvicorn, starlette, pytz-deprecation-shim, pydeck, mdtex2html, mdit-py-plugins, linkify-it-py, huggingface-hub, httpcore, gitdb, tzlocal, transformers, sse-starlette, httpx, gitpython, fastapi, streamlit, gradio-client, gradio, accelerate\n",
            "  Attempting uninstall: markdown-it-py\n",
            "    Found existing installation: markdown-it-py 3.0.0\n",
            "    Uninstalling markdown-it-py-3.0.0:\n",
            "      Successfully uninstalled markdown-it-py-3.0.0\n",
            "  Attempting uninstall: tzlocal\n",
            "    Found existing installation: tzlocal 5.0.1\n",
            "    Uninstalling tzlocal-5.0.1:\n",
            "      Successfully uninstalled tzlocal-5.0.1\n",
            "Successfully installed accelerate-0.21.0 aiofiles-23.1.0 blinker-1.6.2 cpm_kernels-1.0.11 fastapi-0.100.0 ffmpy-0.3.0 gitdb-4.0.10 gitpython-3.1.32 gradio-3.36.1 gradio-client-0.2.9 h11-0.14.0 httpcore-0.17.3 httpx-0.24.1 huggingface-hub-0.16.4 importlib-metadata-6.8.0 latex2mathml-3.76.0 linkify-it-py-2.0.2 markdown-it-py-2.2.0 mdit-py-plugins-0.3.3 mdtex2html-1.2.0 orjson-3.9.2 pydeck-0.8.1b0 pydub-0.25.1 pympler-1.0.1 python-multipart-0.0.6 pytz-deprecation-shim-0.1.0.post0 safetensors-0.3.1 semantic-version-2.10.0 sentencepiece-0.1.99 smmap-5.0.0 sse-starlette-1.6.1 starlette-0.27.0 streamlit-1.24.1 tokenizers-0.13.3 transformers-4.30.2 tzdata-2023.3 tzlocal-4.3.1 uc-micro-py-1.0.2 uvicorn-0.22.0 validators-0.20.0 watchdog-3.0.0 websockets-11.0.3\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "f = open(\"/content/para_2023.txt\", \"r\", encoding='GBK')\n",
        "txts = f.read()\n",
        "f.close()"
      ],
      "metadata": {
        "id": "adqTa7JpMmRD"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from transformers import AutoTokenizer, AutoModel\n",
        "tokenizer = AutoTokenizer.from_pretrained(\"THUDM/chatglm2-6b\", trust_remote_code=True)\n",
        "model = AutoModel.from_pretrained(\"THUDM/chatglm2-6b\", trust_remote_code=True, device='cuda')\n",
        "model = model.eval()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 807,
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      },
      "execution_count": 9,
      "outputs": [
        {
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        {
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          "text": [
            "A new version of the following files was downloaded from https://huggingface.co/THUDM/chatglm2-6b:\n",
            "- tokenization_chatglm.py\n",
            ". Make sure to double-check they do not contain any added malicious code. To avoid downloading new versions of the code file, you can pin a revision.\n"
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            "A new version of the following files was downloaded from https://huggingface.co/THUDM/chatglm2-6b:\n",
            "- configuration_chatglm.py\n",
            ". Make sure to double-check they do not contain any added malicious code. To avoid downloading new versions of the code file, you can pin a revision.\n"
          ]
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        },
        {
          "output_type": "stream",
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          "text": [
            "A new version of the following files was downloaded from https://huggingface.co/THUDM/chatglm2-6b:\n",
            "- quantization.py\n",
            ". Make sure to double-check they do not contain any added malicious code. To avoid downloading new versions of the code file, you can pin a revision.\n",
            "A new version of the following files was downloaded from https://huggingface.co/THUDM/chatglm2-6b:\n",
            "- modeling_chatglm.py\n",
            "- quantization.py\n",
            ". Make sure to double-check they do not contain any added malicious code. To avoid downloading new versions of the code file, you can pin a revision.\n"
          ]
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      ]
    },
    {
      "cell_type": "code",
      "source": [
        "prompt = \"\"\"从下面的文字中提取与企业发展有关的关键信息。\\n\"\"\" + txts"
      ],
      "metadata": {
        "id": "7oY_mmiHNAFj"
      },
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "response, history = model.chat(tokenizer, prompt, history=[], temperature = 0.01)"
      ],
      "metadata": {
        "id": "6Jb_6tRTPTWK"
      },
      "execution_count": 25,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(response)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Lg_V7tUOPZ2i",
        "outputId": "ecb0a2cd-169d-441c-eb57-47405643ced3"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "本文提到了与企业发展有关的关键信息,包括:\n",
            "\n",
            "1. 会议通过了多个文件,包括《关于强化企业科技创新主体地位的意见》、《关于加强和改进国有经济管理有力支持中国式现代化建设的意见》、《关于促进民营经济发展壮大的意见》和《中央全面深化改革委员会工作规则》、《中央全面深化改革委员会专项小组工作规则》、《中央全面深化改革委员会办公室工作细则》、《中央全面深化改革委员会2023年工作要点》。\n",
            "\n",
            "2. 会议强调加强和改进国有经济管理,要立足新时代新征程国有经济肩负的使命任务和功能定位,从服务构建新发展格局、推动高质量发展、促进共同富裕、维护国家安全的战略高度出发,完善国有经济安全责任、质量结构、资产和企业管理,深化国有企业改革,着力补短板、强弱项、固底板、扬优势,构建顶层统筹、权责明确、运行高效、监管有力的国有经济管理体系。\n",
            "\n",
            "3. 会议强调支持民营经济发展,要着力优化民营经济发展环境,破除制约民营企业公平参与市场竞争的制度障碍,引导民营企业在高质量发展中找准定位,通过企业自身改革发展、合规经营、转型升级,不断提升发展质量。\n",
            "\n",
            "4. 会议强调要深入开展学习贯彻习近平新时代中国特色社会主义思想主题教育,认真落实中央经济工作会议精神,坚持稳中求进工作总基调,完整、准确、全面贯彻新发展理念,加快构建新发展格局,全面深化改革开放,把发挥政策效力和激发经营主体活力结合起来,形成推动高质量发展的强大动力,统筹推动经济运行持续好转、内生动力持续增强、社会预期持续改善、风险隐患持续化解,乘势而上,推动经济实现质的有效提升和量的合理增长。\n",
            "\n",
            "5. 会议强调要坚持“两个毫不动摇”,破除影响各类所有制企业公平竞争、共同发展的法律法规障碍和隐性壁垒,持续提振经营主体信心,帮助企业恢复元气。各类企业都要依法合规经营。要下决心从根本上解决企业账款拖欠问题。要推动平台企业规范健康发展,鼓励头部平台企业探索创新。\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "prompt_topic = \"\"\"从下面的文字中总结与企业发展有关的话题。话题个数不超过5个\\n\"\"\" + txts"
      ],
      "metadata": {
        "id": "SDNdvUhpPcmL"
      },
      "execution_count": 29,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "response, history = model.chat(tokenizer, prompt, history=[], temperature = 0.01)\n",
        "print(response)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XH8u6zXRP3W9",
        "outputId": "ab2a271b-ac80-43e2-ea6c-ef4f839ab498"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "本文提到了与企业发展有关的关键信息,包括:\n",
            "\n",
            "1. 会议通过了多个文件,包括《关于强化企业科技创新主体地位的意见》、《关于加强和改进国有经济管理有力支持中国式现代化建设的意见》、《关于促进民营经济发展壮大的意见》和《中央全面深化改革委员会工作规则》、《中央全面深化改革委员会专项小组工作规则》、《中央全面深化改革委员会办公室工作细则》、《中央全面深化改革委员会2023年工作要点》。\n",
            "\n",
            "2. 会议强调加强和改进国有经济管理,要立足新时代新征程国有经济肩负的使命任务和功能定位,从服务构建新发展格局、推动高质量发展、促进共同富裕、维护国家安全的战略高度出发,完善国有经济安全责任、质量结构、资产和企业管理,深化国有企业改革,着力补短板、强弱项、固底板、扬优势,构建顶层统筹、权责明确、运行高效、监管有力的国有经济管理体系。\n",
            "\n",
            "3. 会议强调支持民营经济发展,要着力优化民营经济发展环境,破除制约民营企业公平参与市场竞争的制度障碍,引导民营企业在高质量发展中找准定位,通过企业自身改革发展、合规经营、转型升级,不断提升发展质量。\n",
            "\n",
            "4. 会议强调要深入开展学习贯彻习近平新时代中国特色社会主义思想主题教育,认真落实中央经济工作会议精神,坚持稳中求进工作总基调,完整、准确、全面贯彻新发展理念,加快构建新发展格局,全面深化改革开放,把发挥政策效力和激发经营主体活力结合起来,形成推动高质量发展的强大动力,统筹推动经济运行持续好转、内生动力持续增强、社会预期持续改善、风险隐患持续化解,乘势而上,推动经济实现质的有效提升和量的合理增长。\n",
            "\n",
            "5. 会议强调要坚持“两个毫不动摇”,破除影响各类所有制企业公平竞争、共同发展的法律法规障碍和隐性壁垒,持续提振经营主体信心,帮助企业恢复元气。各类企业都要依法合规经营。要下决心从根本上解决企业账款拖欠问题。要推动平台企业规范健康发展,鼓励头部平台企业探索创新。\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "xfnyXqk3P59z"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}