{
"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": [
"<a href=\"https://colab.research.google.com/github/w-okada/voice-changer/blob/dev/MMVCTrainerFrontendDemo.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 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",
"\n",
"%cd MMVC_Trainer/monotonic_align/\n",
"!python setup.py build_ext --inplace\n",
"%cd ../../"
],
"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"
]
}
]
}
]
}