VoiceChangerDemo.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "VoiceChangerDemo",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyNIv/9zk/IX9oi1cGqSj2bv",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU",
    "gpuClass": "standard"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/w-okada/voice-changer/blob/dev/VoiceChangerDemo.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Voice Changer (デモ版)\n",
        "---\n",
        "\n",
        "このノートはVoice ChangerをColab上で動かすデモ版です。\n",
        "\n",
        "正式版はローカルPCのDocker上で動かすアプリケーションです。\n",
        "\n",
        "正式版は、多くの場合より少ないタイムラグで滑らかに音声を変換できます。\n",
        "\n",
        "詳細な使用方法はこちらの[リポジトリ](https://github.com/w-okada/voice-changer)からご確認ください。\n"
      ],
      "metadata": {
        "id": "Lbbmx_Vjl0zo"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# GPUを確認\n",
        "GPUを用いたほうが高速に処理が行えます。\n",
        "\n",
        "下記のコマンドでGPUが確認できない場合は、上のメニューから\n",
        "\n",
        "「ランタイム」→「ランタイムの変更」→「ハードウェア アクセラレータ」\n",
        "\n",
        "でGPUを選択してください。"
      ],
      "metadata": {
        "id": "oUKi1NYMmXrr"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# (1) GPUの確認\n",
        "!nvidia-smi"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vV1t7PBRm-o6",
        "outputId": "58b497c1-58a6-4bca-d0e4-f81b65398224"
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Fri Oct 28 13:11:03 2022       \n",
            "+-----------------------------------------------------------------------------+\n",
            "| NVIDIA-SMI 460.32.03    Driver Version: 460.32.03    CUDA Version: 11.2     |\n",
            "|-------------------------------+----------------------+----------------------+\n",
            "| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |\n",
            "| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |\n",
            "|                               |                      |               MIG M. |\n",
            "|===============================+======================+======================|\n",
            "|   0  Tesla T4            Off  | 00000000:00:04.0 Off |                    0 |\n",
            "| N/A   52C    P8    10W /  70W |      0MiB / 15109MiB |      0%      Default |\n",
            "|                               |                      |                  N/A |\n",
            "+-------------------------------+----------------------+----------------------+\n",
            "                                                                               \n",
            "+-----------------------------------------------------------------------------+\n",
            "| Processes:                                                                  |\n",
            "|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |\n",
            "|        ID   ID                                                   Usage      |\n",
            "|=============================================================================|\n",
            "|  No running processes found                                                 |\n",
            "+-----------------------------------------------------------------------------+\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# 使用するモデルとコンフィグファイルの指定\n",
        "\n",
        "使用するトレーニング済みのモデルと、トレーニングで使用したコンフィグファイルのパスを指定してください。\n",
        "\n",
        "多くの場合はGoogle Driveに格納されているファイルを使用すると思います。その場合は、下の(2-2)のセルを実行してドライブをマウントしてください"
      ],
      "metadata": {
        "id": "mHvGrgaWnIPA"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# (2-1) 使用するモデルとコンフィグファイルの指定\n",
        "CONFIG=\"/content/drive/MyDrive/VoiceChanger/config.json\"\n",
        "MODEL=\"/content/drive/MyDrive/VoiceChanger/G_326000.pth\""
      ],
      "metadata": {
        "id": "nSXATMWYb4Ik"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2wxD-gRSMU5R",
        "outputId": "dabd982a-87c7-44d1-b9e8-986691190771"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ],
      "source": [
        "# (2-2) Google Driveのマウント\n",
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# リポジトリのクローン\n",
        "リポジトリをクローンします"
      ],
      "metadata": {
        "id": "sLBfykjBnjWc"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# (3) リポジトリのクローン\n",
        "!git clone --depth 1 https://github.com/isletennos/MMVC_Trainer.git -b v1.3.1.3 /MMVC_Trainer\n",
        "!git clone --depth 1 https://github.com/w-okada/voice-changer.git\n",
        "%cd voice-changer/demo/\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "86wTFmqsNMnD",
        "outputId": "a8c26bd2-7172-4d21-f32d-14bcbfa2b0aa"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Cloning into '/MMVC_Trainer'...\n",
            "remote: Enumerating objects: 917, done.\u001b[K\n",
            "remote: Counting objects: 100% (917/917), done.\u001b[K\n",
            "remote: Compressing objects: 100% (828/828), done.\u001b[K\n",
            "remote: Total 917 (delta 3), reused 888 (delta 0), pack-reused 0\u001b[K\n",
            "Receiving objects: 100% (917/917), 53.02 MiB | 35.96 MiB/s, done.\n",
            "Resolving deltas: 100% (3/3), done.\n",
            "Note: checking out '39723b3243e0265b8802e020e4d4d90a4b8b65ee'.\n",
            "\n",
            "You are in 'detached HEAD' state. You can look around, make experimental\n",
            "changes and commit them, and you can discard any commits you make in this\n",
            "state without impacting any branches by performing another checkout.\n",
            "\n",
            "If you want to create a new branch to retain commits you create, you may\n",
            "do so (now or later) by using -b with the checkout command again. Example:\n",
            "\n",
            "  git checkout -b <new-branch-name>\n",
            "\n",
            "Cloning into 'voice-changer'...\n",
            "remote: Enumerating objects: 81, done.\u001b[K\n",
            "remote: Counting objects: 100% (81/81), done.\u001b[K\n",
            "remote: Compressing objects: 100% (68/68), done.\u001b[K\n",
            "remote: Total 81 (delta 12), reused 51 (delta 5), pack-reused 0\u001b[K\n",
            "Unpacking objects: 100% (81/81), done.\n",
            "/content/voice-changer/demo\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# ファイルの配置\n",
        "アプリケーションの挙動を記した設定ファイルをコピーします(4-1)。(4-2)はコピーした設定ファイルを表示しています。もしかしたらうまく動かないときに役立つかもしれません。"
      ],
      "metadata": {
        "id": "jmDY8W_fnuSi"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# (4-1) 設定ファイルの配置\n",
        "!cp ../template/setting_mmvc_colab.json ../frontend/dist/assets/setting.json\n"
      ],
      "metadata": {
        "id": "Bn4kV8TgXp8i"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# (4-2) 設定ファイルの確認\n",
        "!cat ../frontend/dist/assets/setting.json\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pjxPsOOaXXTj",
        "outputId": "c8a32f33-c260-41ea-bd8f-ce401247f2a0"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{\n",
            "    \"app_title\": \"voice-changer\",\n",
            "    \"majar_mode\": \"colab\",\n",
            "    \"voice_changer_server_url\": \"/test\",\n",
            "    \"sample_rate\": 48000,\n",
            "    \"buffer_size\": 1024,\n",
            "    \"prefix_chunk_size\": 36,\n",
            "    \"chunk_size\": 36,\n",
            "    \"speaker_ids\": [100, 107, 101, 102, 103],\n",
            "    \"speaker_names\": [\"ずんだもん\", \"user\", \"そら\", \"めたん\", \"つむぎ\"],\n",
            "    \"src_id\": 107,\n",
            "    \"dst_id\": 100,\n",
            "    \"vf_enable\": true,\n",
            "    \"voice_changer_mode\": \"realtime\",\n",
            "    \"gpu\": 0,\n",
            "    \"available_gpus\": [-1, 0, 1, 2, 3, 4],\n",
            "    \"avatar\": {\n",
            "        \"enable_avatar\": true,        \n",
            "        \"motion_capture_face\": true,\n",
            "        \"motion_capture_upperbody\": true,\n",
            "        \"lip_overwrite_with_voice\": true,\n",
            "        \"avatar_url\": \"./assets/vrm/zundamon/zundamon.vrm\",\n",
            "        \"backgournd_image_url\": \"./assets/images/bg_natural_sougen.jpg\",\n",
            "        \"background_color\": \"#0000dd\",\n",
            "        \"chroma_key\": \"#0000dd\",\n",
            "        \"avatar_canvas_size\": [1280, 720],\n",
            "        \"screen_canvas_size\": [1280, 720]\n",
            "    },\n",
            "    \"advance\": {\n",
            "        \"avatar_draw_skip_rate\": 3,\n",
            "        \"screen_draw_skip_rate\": 3,\n",
            "        \"visualizer_draw_skip_rate\": 3,\n",
            "        \"cross_fade_lower_value\": 0.1,\n",
            "        \"cross_fade_offset_rate\": 0.3,\n",
            "        \"cross_fade_end_rate\": 0.6,\n",
            "        \"cross_fade_type\": 2\n",
            "    }\n",
            "}\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# モジュールのインストール\n",
        "\n",
        "必要なモジュールをインストールします。"
      ],
      "metadata": {
        "id": "8Na2PbLZSWgZ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# (5) 設定ファイルの確認\n",
        "!apt-get install -y espeak libsndfile1-dev\n",
        "!pip install unidecode\n",
        "!pip install phonemizer\n",
        "!pip install retry\n",
        "!pip install fastapi\n",
        "!pip install uvicorn"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LwZAAuqxX7yY",
        "outputId": "de7a602d-e2b0-45b9-add1-25ce4fe33063"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Reading package lists... Done\n",
            "Building dependency tree       \n",
            "Reading state information... Done\n",
            "libsndfile1-dev is already the newest version (1.0.28-4ubuntu0.18.04.2).\n",
            "The following package was automatically installed and is no longer required:\n",
            "  libnvidia-common-460\n",
            "Use 'apt autoremove' to remove it.\n",
            "The following additional packages will be installed:\n",
            "  espeak-data libespeak1 libportaudio2 libsonic0\n",
            "The following NEW packages will be installed:\n",
            "  espeak espeak-data libespeak1 libportaudio2 libsonic0\n",
            "0 upgraded, 5 newly installed, 0 to remove and 27 not upgraded.\n",
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            "Get:1 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libportaudio2 amd64 19.6.0-1 [64.6 kB]\n",
            "Get:2 http://archive.ubuntu.com/ubuntu bionic/main amd64 libsonic0 amd64 0.2.0-6 [13.4 kB]\n",
            "Get:3 http://archive.ubuntu.com/ubuntu bionic/universe amd64 espeak-data amd64 1.48.04+dfsg-5 [934 kB]\n",
            "Get:4 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libespeak1 amd64 1.48.04+dfsg-5 [145 kB]\n",
            "Get:5 http://archive.ubuntu.com/ubuntu bionic/universe amd64 espeak amd64 1.48.04+dfsg-5 [61.6 kB]\n",
            "Fetched 1,219 kB in 1s (1,624 kB/s)\n",
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            "Preparing to unpack .../libsonic0_0.2.0-6_amd64.deb ...\n",
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            "Setting up libportaudio2:amd64 (19.6.0-1) ...\n",
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            "Installing collected packages: isodate, rfc3986, rdflib, language-tags, colorama, csvw, colorlog, clldutils, segments, dlinfo, phonemizer\n",
            "Successfully installed clldutils-3.12.0 colorama-0.4.6 colorlog-6.7.0 csvw-3.1.2 dlinfo-1.2.1 isodate-0.6.1 language-tags-1.1.0 phonemizer-3.2.1 rdflib-6.2.0 rfc3986-1.5.0 segments-2.2.1\n",
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting retry\n",
            "  Downloading retry-0.9.2-py2.py3-none-any.whl (8.0 kB)\n",
            "Requirement already satisfied: decorator>=3.4.2 in /usr/local/lib/python3.7/dist-packages (from retry) (4.4.2)\n",
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            "Installing collected packages: retry\n",
            "Successfully installed retry-0.9.2\n",
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting fastapi\n",
            "  Downloading fastapi-0.85.1-py3-none-any.whl (55 kB)\n",
            "\u001b[K     |████████████████████████████████| 55 kB 3.9 MB/s \n",
            "\u001b[?25hCollecting starlette==0.20.4\n",
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            "Collecting sniffio>=1.1\n",
            "  Downloading sniffio-1.3.0-py3-none-any.whl (10 kB)\n",
            "Installing collected packages: sniffio, anyio, starlette, fastapi\n",
            "Successfully installed anyio-3.6.2 fastapi-0.85.1 sniffio-1.3.0 starlette-0.20.4\n",
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting uvicorn\n",
            "  Downloading uvicorn-0.19.0-py3-none-any.whl (56 kB)\n",
            "\u001b[K     |████████████████████████████████| 56 kB 5.0 MB/s \n",
            "\u001b[?25hCollecting h11>=0.8\n",
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            "Installing collected packages: h11, uvicorn\n",
            "Successfully installed h11-0.14.0 uvicorn-0.19.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# サーバの起動\n",
        "\n",
        "サーバを起動します。(6-1)\n",
        "\n",
        "サーバの起動状況を確認します。(6-2) \n",
        "\n",
        "このセルは繰り返し実行することになるのでCtrl+Retでセルを実行してください。\n",
        "\n",
        "アクセスできるようになるまで、１～２分かかるようです。コーヒーでも飲みに行きましょう。\n",
        "\n",
        "下記のようなテキストが表示されたら起動完了です。\n",
        "\n",
        "**`Application startup complete`**\n",
        "\n",
        "という文字列で完了です。`uvicorn.error`という不穏なメッセージも見られますが、これはプロセスの名前で大して重要な意味を持ちませんので無視してください。（どうやったら消せるのだろうか。）\n",
        "\n",
        "\n",
        "```\n",
        "INFO:     Will watch for changes in these directories: ['/content/voice-changer/demo']\n",
        "INFO:uvicorn.error:Will watch for changes in these directories: ['/content/voice-changer/demo']\n",
        "INFO:     Uvicorn running on http://0.0.0.0:8088 (Press CTRL+C to quit)\n",
        "INFO:uvicorn.error:Uvicorn running on http://0.0.0.0:8088 (Press CTRL+C to quit)\n",
        "INFO:     Started reloader process [617] using StatReload\n",
        "INFO:uvicorn.error:Started reloader process [617] using StatReload\n",
        "INFO:uvicorn:INITIALIZE MODEL\n",
        "GPU_NUM: 1\n",
        "INFO:root:Loaded checkpoint '/content/drive/MyDrive/VoiceChanger/G_326000.pth' (iteration 1136)\n",
        "DEBUG:asyncio:Using selector: EpollSelector\n",
        "INFO:     INITIALIZE MODEL\n",
        "INFO:uvicorn:INITIALIZE MODEL\n",
        "GPU_NUM: 1\n",
        "INFO:root:Loaded checkpoint '/content/drive/MyDrive/VoiceChanger/G_326000.pth' (iteration 1136)\n",
        "INFO:     Started server process [637]\n",
        "INFO:uvicorn.error:Started server process [637]\n",
        "INFO:     Waiting for application startup.\n",
        "INFO:uvicorn.error:Waiting for application startup.\n",
        "INFO:     Application startup complete.\n",
        "INFO:uvicorn.error:Application startup complete.\n",
        "```\n",
        "\n"
      ],
      "metadata": {
        "id": "-_2OcN9Borke"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# (6-1) サーバの起動\n",
        "PORT=8089\n",
        "get_ipython().system_raw(f'python3 serverFastAPI.py {PORT} {CONFIG} {MODEL} >foo 2>&1 &')"
      ],
      "metadata": {
        "id": "iNOAB7zISI6J"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# (6-2) サーバの起動確認 (Ctrl+Retで実行)\n",
        "!tail -20 foo"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "chu06KpAjEK6",
        "outputId": "c868abb8-4e2d-42d2-a287-9e57a8fc47a0"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "INFO:uvicorn:INITIALIZE MODEL\n",
            "GPU_NUM: 1\n",
            "INFO:root:Loaded checkpoint '/content/drive/MyDrive/VoiceChanger/G_326000.pth' (iteration 1136)\n",
            "INFO:uvicorn:START APP\n",
            "INFO:     Will watch for changes in these directories: ['/content/voice-changer/demo']\n",
            "INFO:     Uvicorn running on http://0.0.0.0:8089 (Press CTRL+C to quit)\n",
            "INFO:     Started reloader process [623] using StatReload\n",
            "INFO:uvicorn:INITIALIZE MODEL\n",
            "GPU_NUM: 1\n",
            "INFO:root:Loaded checkpoint '/content/drive/MyDrive/VoiceChanger/G_326000.pth' (iteration 1136)\n",
            "DEBUG:asyncio:Using selector: EpollSelector\n",
            "INFO:     INITIALIZE MODEL\n",
            "GPU_NUM: 1\n",
            "INFO:root:Loaded checkpoint '/content/drive/MyDrive/VoiceChanger/G_326000.pth' (iteration 1136)\n",
            "INFO:     Started server process [660]\n",
            "INFO:     Waiting for application startup.\n",
            "INFO:     Application startup complete.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# プロキシを起動\n",
        "ウェブサーバへのアクセスをするためのプロキシを起動します。\n",
        "\n",
        "表示されたURLをクリックして開くと別タブでアプリが開きます。\n",
        "\n",
        "Colabなので、ロードにある程度時間がかかります(30秒くらい)。"
      ],
      "metadata": {
        "id": "WhxcFLQEpctq"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# (7) プロキシを起動\n",
        "from google.colab.output import eval_js\n",
        "proxy = eval_js( \"google.colab.kernel.proxyPort(\" + str(PORT) + \")\" )\n",
        "print(f\"{proxy}front/\")"
      ],
      "metadata": {
        "id": "nkRjZm95l87C",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "0af21153-44de-43a9-ac84-0f6644b3bf06"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "https://y6buvnj4vvr-496ff2e9c6d22116-8089-colab.googleusercontent.com/front/\n"
          ]
        }
      ]
    }
  ]
}