{ "nbformat": 4, "nbformat_minor": 0, "metadata": { "colab": { "provenance": [], "collapsed_sections": [], "authorship_tag": "ABX9TyNeYcg5YiUjFhkeVj9OycIp", "include_colab_link": true }, "kernelspec": { "name": "python3", "display_name": "Python 3" }, "language_info": { "name": "python" }, "gpuClass": "standard" }, "cells": [ { "cell_type": "markdown", "metadata": { "id": "view-in-github", "colab_type": "text" }, "source": [ "\"Open" ] }, { "cell_type": "markdown", "source": [ "Voice Changer Simple (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": "15081c48-84f0-4798-be64-38cf15c28966" }, "execution_count": 1, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running.\n", "\n" ] } ] }, { "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": [ "# (2) 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 -b dev\n", "%cd voice-changer/demo/\n", "\n", "!cp ../template/setting_mmvc_colab.json ../frontend/dist/assets/setting.json" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "86wTFmqsNMnD", "outputId": "5151e168-15ec-4e4e-b50c-07867876294e" }, "execution_count": 2, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "fatal: destination path '/MMVC_Trainer' already exists and is not an empty directory.\n", "fatal: destination path 'voice-changer' already exists and is not an empty directory.\n", "/content/voice-changer/demo\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": [ "# (3) 設定ファイルの確認\n", "!apt-get install -y espeak libsndfile1-dev &> /dev/null\n", "!pip install unidecode &> /dev/null\n", "!pip install phonemizer &> /dev/null\n", "!pip install retry &> /dev/null\n", "!pip install python-socketio &> /dev/null\n", "!pip install fastapi &> /dev/null\n", "!pip install python-multipart &> /dev/null\n", "!pip install uvicorn &> /dev/null\n", "!pip install websockets &> /dev/null\n", "!pip install pyOpenSSL &> /dev/null\n", "!pip install pyopenjtalk==0.2.0 &> /dev/null\n" ], "metadata": { "id": "LwZAAuqxX7yY" }, "execution_count": 3, "outputs": [] }, { "cell_type": "markdown", "source": [ "# サーバの起動\n", "\n", "サーバを起動します。(4-1)\n", "\n", "サーバの起動状況を確認します。(4-2) \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", "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", "**`DEBUG:asyncio:Using selector: EpollSelector`**\n", "\n", "```\n", " Phase name:__main__\n", " PHASE3:__main__\n", " PHASE1:__main__\n", "Start MMVC SocketIO Server\n", " CONFIG:None, MODEL:None\n", "DEBUG:asyncio:Using selector: EpollSelector\n", "```\n", "\n" ], "metadata": { "id": "-_2OcN9Borke" } }, { "cell_type": "code", "source": [ "!mkdir -p /MMVC_Trainer/info\n", "!mkdir -p /MMVC_Trainer/logs" ], "metadata": { "id": "pwUQ0_RzGK_g" }, "execution_count": 4, "outputs": [] }, { "cell_type": "code", "source": [ "# (4-1) サーバの起動\n", "import random\n", "PORT = 10000 + random.randint(1, 9999)\n", "LOG_FILE = f\"LOG_FILE_{PORT}\"\n", "\n", "get_ipython().system_raw(f'python3 MMVCServerSIO.py -p {PORT} --colab True >{LOG_FILE} 2>&1 &')\n", "#print(f\"PORT:{PORT}, LOG_FILE:{LOG_FILE}\")" ], "metadata": { "id": "G-nMdPxEW1rc" }, "execution_count": 5, "outputs": [] }, { "cell_type": "code", "source": [ "# (4-2) サーバの起動確認\n", "!sleep 5\n", "!tail -20 {LOG_FILE}" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "chu06KpAjEK6", "outputId": "26995bdf-063e-43ee-84fd-4aecc7e7b7e6" }, "execution_count": 6, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "\u001b[32m Phase name:__main__\u001b[0m\n", "\u001b[32m PHASE3:__main__\u001b[0m\n", "\u001b[32m PHASE1:__main__\u001b[0m\n", "\u001b[17mStart MMVC SocketIO Server\u001b[0m\n", "\u001b[34m CONFIG:None, MODEL:None\u001b[0m\n", "DEBUG:asyncio:Using selector: EpollSelector\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": [ "# (5) 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}trainer/\")" ], "metadata": { "id": "nkRjZm95l87C", "colab": { "base_uri": "https://localhost:8080/", "height": 34 }, "outputId": "845d1582-d776-4154-984c-e256dcce6b38" }, "execution_count": 7, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "https://ffm3z64cmhr-496ff2e9c6d22116-12768-colab.googleusercontent.com/trainer/\n" ] } ] } ] }