colab_web_demo_gradio.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "🎯 **运行Demo需要GPU支持，在Colab \"更改运行时类型\"中选择\"T4 GPU\"来使用免费GPU。**"
      ],
      "metadata": {
        "id": "CUcwNCJ9lbOb"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# 安装依赖"
      ],
      "metadata": {
        "id": "LqZU8nPLyfI6"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "! git clone https://github.com/stylellm/stylellm_chat.git\n",
        "%cd stylellm_chat\n",
        "! pip -q install -r requirements.txt"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XmiXwbPgyent",
        "outputId": "44171fd9-e75f-4763-9fd0-000f38d4edb7"
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Cloning into 'stylellm_chat'...\n",
            "remote: Enumerating objects: 31, done.\u001b[K\n",
            "remote: Counting objects: 100% (31/31), done.\u001b[K\n",
            "remote: Compressing objects: 100% (23/23), done.\u001b[K\n",
            "remote: Total 31 (delta 8), reused 25 (delta 5), pack-reused 0\u001b[K\n",
            "Receiving objects: 100% (31/31), 13.47 KiB | 13.47 MiB/s, done.\n",
            "Resolving deltas: 100% (8/8), done.\n",
            "/content/stylellm_chat\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m312.9/312.9 kB\u001b[0m \u001b[31m6.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m297.6/297.6 kB\u001b[0m \u001b[31m14.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m314.4/314.4 kB\u001b[0m \u001b[31m40.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m129.9/129.9 kB\u001b[0m \u001b[31m19.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m77.9/77.9 kB\u001b[0m \u001b[31m12.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m134.8/134.8 kB\u001b[0m \u001b[31m21.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m401.2/401.2 kB\u001b[0m \u001b[31m46.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m71.9/71.9 kB\u001b[0m \u001b[31m10.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Building wheel for ffmpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "spacy 3.7.4 requires typer<0.10.0,>=0.3.0, but you have typer 0.12.3 which is incompatible.\n",
            "weasel 0.3.4 requires typer<0.10.0,>=0.3.0, but you have typer 0.12.3 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0m"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# 创建StyleLLMChat实例"
      ],
      "metadata": {
        "id": "KqdU88SWX3U8"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# @title 以\"水浒传+鲁智深\"风格为例，修改`scene`和`character`参数可以使用其他角色风格。\n",
        "from stylellm_chat import StyleLLMChat, QwenChatModel, StyleModel\n",
        "sc = StyleLLMChat(\n",
        "    chat_model=QwenChatModel(model_name_or_path=\"Qwen/Qwen1.5-7B-Chat-AWQ\", device=\"cuda\"),\n",
        "    style_model=StyleModel(model_name_or_path=\"stylellm/ShuiHuZhuan-6b-AWQ\", device=\"cuda\",\n",
        "                            scene=\"水浒传\", character=\"鲁智深\")\n",
        ")"
      ],
      "metadata": {
        "id": "AXz8k-Co3Rcl",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 885,
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      },
      "execution_count": 2,
      "outputs": [
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          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:89: 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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          ]
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            "/usr/local/lib/python3.10/dist-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.\n",
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          "data": {
            "text/plain": [
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          "text": [
            "You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers\n",
            "Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n"
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    {
      "cell_type": "markdown",
      "source": [
        "# 启动Web UI"
      ],
      "metadata": {
        "id": "vOYadNVLYVEL"
      }
    },
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      "cell_type": "code",
      "source": [
        "# @title Gradio启动后可在colab中直接对话，也打开public URL 在外部浏览器中对话\n",
        "import web_demo_gradio\n",
        "demo = web_demo_gradio.run_app(sc)"
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      },
      "execution_count": 3,
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        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Colab notebook detected. To show errors in colab notebook, set debug=True in launch()\n",
            "Running on public URL: https://89ca650c564d223511.gradio.live\n",
            "\n",
            "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n"
          ]
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