mirror of
https://github.com/w-okada/voice-changer.git
synced 2025-01-23 13:35:12 +03:00
293 lines
8.7 KiB
Plaintext
293 lines
8.7 KiB
Plaintext
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{
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"nbformat": 4,
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"nbformat_minor": 0,
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"metadata": {
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"colab": {
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"provenance": [],
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"collapsed_sections": [],
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"authorship_tag": "ABX9TyNeYcg5YiUjFhkeVj9OycIp",
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"include_colab_link": true
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},
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"kernelspec": {
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"name": "python3",
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"display_name": "Python 3"
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},
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"language_info": {
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"name": "python"
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},
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"gpuClass": "standard"
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},
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "view-in-github",
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"colab_type": "text"
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},
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"source": [
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"<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>"
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]
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},
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{
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"cell_type": "markdown",
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"source": [
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"Voice Changer Simple (デモ版)\n",
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"---\n",
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"\n",
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"このノートはVoice ChangerをColab上で動かすデモ版です。\n",
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"\n",
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"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",
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"\n",
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"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",
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"\n",
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"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"
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],
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"metadata": {
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"id": "Lbbmx_Vjl0zo"
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}
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},
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{
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"cell_type": "markdown",
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"source": [
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"# GPUを確認\n",
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"GPUを用いたほうが高速に処理が行えます。\n",
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"\n",
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"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",
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"\n",
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"「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",
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"\n",
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"でGPUを選択してください。"
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],
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"metadata": {
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"id": "oUKi1NYMmXrr"
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}
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},
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{
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"cell_type": "code",
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"source": [
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"# (1) GPUの確認\n",
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"!nvidia-smi"
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],
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "vV1t7PBRm-o6",
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"outputId": "15081c48-84f0-4798-be64-38cf15c28966"
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},
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"execution_count": 1,
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"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",
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"\n"
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]
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}
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]
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},
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{
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"cell_type": "markdown",
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"source": [
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"# リポジトリのクローン\n",
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"リポジトリをクローンします"
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],
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"metadata": {
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"id": "sLBfykjBnjWc"
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}
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},
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{
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"cell_type": "code",
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"source": [
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"# (2) リポジトリのクローン\n",
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"!git clone --depth 1 https://github.com/isletennos/MMVC_Trainer.git -b v1.3.1.3 /MMVC_Trainer\n",
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"!git clone --depth 1 https://github.com/w-okada/voice-changer.git -b dev\n",
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"%cd voice-changer/demo/\n",
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"\n",
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"!cp ../template/setting_mmvc_colab.json ../frontend/dist/assets/setting.json"
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],
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "86wTFmqsNMnD",
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"outputId": "5151e168-15ec-4e4e-b50c-07867876294e"
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},
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"execution_count": 2,
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"fatal: destination path '/MMVC_Trainer' already exists and is not an empty directory.\n",
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"fatal: destination path 'voice-changer' already exists and is not an empty directory.\n",
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"/content/voice-changer/demo\n"
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]
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}
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]
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},
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{
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"cell_type": "markdown",
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"source": [
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"# モジュールのインストール\n",
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"\n",
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"必要なモジュールをインストールします。"
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],
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"metadata": {
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"id": "8Na2PbLZSWgZ"
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}
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},
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{
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"cell_type": "code",
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"source": [
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"# (3) 設定ファイルの確認\n",
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"!apt-get install -y espeak libsndfile1-dev &> /dev/null\n",
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"!pip install unidecode &> /dev/null\n",
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"!pip install phonemizer &> /dev/null\n",
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"!pip install retry &> /dev/null\n",
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"!pip install python-socketio &> /dev/null\n",
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"!pip install fastapi &> /dev/null\n",
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"!pip install python-multipart &> /dev/null\n",
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"!pip install uvicorn &> /dev/null\n",
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"!pip install websockets &> /dev/null\n",
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"!pip install pyOpenSSL &> /dev/null\n",
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"!pip install pyopenjtalk==0.2.0 &> /dev/null\n"
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],
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"metadata": {
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"id": "LwZAAuqxX7yY"
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},
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"execution_count": 3,
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"outputs": []
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},
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{
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"cell_type": "markdown",
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"source": [
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"# サーバの起動\n",
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"\n",
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"サーバを起動します。(4-1)\n",
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"\n",
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"サーバの起動状況を確認します。(4-2) \n",
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"\n",
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"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",
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"\n",
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"下記のようなテキストが表示されたら起動完了です。\n",
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"\n",
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"**`DEBUG:asyncio:Using selector: EpollSelector`**\n",
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"\n",
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"```\n",
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" Phase name:__main__\n",
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" PHASE3:__main__\n",
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" PHASE1:__main__\n",
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"Start MMVC SocketIO Server\n",
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" CONFIG:None, MODEL:None\n",
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"DEBUG:asyncio:Using selector: EpollSelector\n",
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"```\n",
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"\n"
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],
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"metadata": {
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"id": "-_2OcN9Borke"
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}
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},
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{
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"cell_type": "code",
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"source": [
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"!mkdir -p /MMVC_Trainer/info\n",
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"!mkdir -p /MMVC_Trainer/logs"
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],
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"metadata": {
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"id": "pwUQ0_RzGK_g"
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},
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"execution_count": 4,
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"outputs": []
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},
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{
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"cell_type": "code",
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"source": [
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"# (4-1) サーバの起動\n",
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"import random\n",
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"PORT = 10000 + random.randint(1, 9999)\n",
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"LOG_FILE = f\"LOG_FILE_{PORT}\"\n",
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"\n",
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"get_ipython().system_raw(f'python3 MMVCServerSIO.py -p {PORT} --colab True >{LOG_FILE} 2>&1 &')\n",
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"#print(f\"PORT:{PORT}, LOG_FILE:{LOG_FILE}\")"
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],
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"metadata": {
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"id": "G-nMdPxEW1rc"
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},
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"execution_count": 5,
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"outputs": []
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},
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{
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"cell_type": "code",
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"source": [
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"# (4-2) サーバの起動確認\n",
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"!sleep 5\n",
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"!tail -20 {LOG_FILE}"
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],
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "chu06KpAjEK6",
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"outputId": "26995bdf-063e-43ee-84fd-4aecc7e7b7e6"
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},
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"execution_count": 6,
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"\u001b[32m Phase name:__main__\u001b[0m\n",
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"\u001b[32m PHASE3:__main__\u001b[0m\n",
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"\u001b[32m PHASE1:__main__\u001b[0m\n",
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"\u001b[17mStart MMVC SocketIO Server\u001b[0m\n",
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"\u001b[34m CONFIG:None, MODEL:None\u001b[0m\n",
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"DEBUG:asyncio:Using selector: EpollSelector\n"
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]
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}
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]
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},
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{
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"cell_type": "markdown",
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"source": [
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"# プロキシを起動\n",
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"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",
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"\n",
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"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",
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"\n",
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"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)。"
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],
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"metadata": {
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"id": "WhxcFLQEpctq"
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}
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},
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{
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"cell_type": "code",
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"source": [
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"# (5) プロキシを起動\n",
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"from google.colab.output import eval_js\n",
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"proxy = eval_js( \"google.colab.kernel.proxyPort(\" + str(PORT) + \")\" )\n",
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"print(f\"{proxy}trainer/\")"
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],
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"metadata": {
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"id": "nkRjZm95l87C",
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"colab": {
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"base_uri": "https://localhost:8080/",
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"height": 34
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},
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"outputId": "845d1582-d776-4154-984c-e256dcce6b38"
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},
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"execution_count": 7,
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"https://ffm3z64cmhr-496ff2e9c6d22116-12768-colab.googleusercontent.com/trainer/\n"
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]
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}
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]
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}
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]
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}
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