{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": [],
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
},
"gpuClass": "standard",
"accelerator": "GPU"
},
"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": "4f159c80-8114-4732-f5af-0856f7b5c39a"
},
"execution_count": 1,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Sat Dec 10 23:45:44 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 70C P0 31W / 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": [
"# 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/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": "3f84319c-0365-442a-fa3a-0a8aea701926"
},
"execution_count": 2,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Cloning into 'voice-changer'...\n",
"remote: Enumerating objects: 1029, done.\u001b[K\n",
"remote: Counting objects: 100% (1029/1029), done.\u001b[K\n",
"remote: Compressing objects: 100% (919/919), done.\u001b[K\n",
"remote: Total 1029 (delta 21), reused 979 (delta 10), pack-reused 0\u001b[K\n",
"Receiving objects: 100% (1029/1029), 71.87 MiB | 26.18 MiB/s, done.\n",
"Resolving deltas: 100% (21/21), done.\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",
"outputId": "61526e29-97d9-4975-e921-4ca9ae5a153f",
"colab": {
"base_uri": "https://localhost:8080/"
}
},
"execution_count": 3,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"/content/voice-changer/demo/MMVC_Trainer/monotonic_align\n",
"running build_ext\n",
"building 'monotonic_align.core' extension\n",
"creating build\n",
"creating build/temp.linux-x86_64-3.8\n",
"x86_64-linux-gnu-gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/local/lib/python3.8/dist-packages/numpy/core/include -I/usr/include/python3.8 -c core.c -o build/temp.linux-x86_64-3.8/core.o\n",
"x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -g -fwrapv -O2 -Wl,-Bsymbolic-functions -g -fwrapv -O2 -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-3.8/core.o -o /content/voice-changer/demo/MMVC_Trainer/monotonic_align/monotonic_align/core.cpython-38-x86_64-linux-gnu.so\n",
"/content/voice-changer/demo\n"
]
}
]
},
{
"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": [
"# (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": 4,
"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": "51b4979c-91b7-4c95-eb4b-40ea001042a9"
},
"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": "bcca9fae-642c-42f6-f3a5-a8bb0789090f"
},
"execution_count": 7,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"https://vljlzcgk39q-496ff2e9c6d22116-17357-colab.googleusercontent.com/trainer/\n"
]
}
]
},
{
"cell_type": "code",
"source": [],
"metadata": {
"id": "s1aWiBg-cTle"
},
"execution_count": null,
"outputs": []
}
]
}