mirror of
https://github.com/w-okada/voice-changer.git
synced 2025-02-02 16:23:58 +03:00
Colab を使用して作成されました
This commit is contained in:
w-okada
parent
95a7f0e9a4
commit
557a88495f
@ -52,12 +52,38 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 1,
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"metadata": {
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"id": "W2GYWTHWmRIY",
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"cellView": "form"
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"cellView": "form",
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"outputId": "8ee57273-7774-44b6-a955-2f9408e489f1",
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"colab": {
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"base_uri": "https://localhost:8080/"
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}
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},
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"outputs": [],
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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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"GPU is available\n",
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"GPU Name: Tesla T4\n",
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"Welcome to ColabMod\n",
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"Mounted at /content/drive\n",
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"Checking latest version...\n",
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"current_version_hash: 1221695f103b2c68f822e61fd5bcfc4c\n",
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"latest_version_hash : \n",
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"hash not match -> download latest version\n",
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" % Total % Received % Xferd Average Speed Time Time Time Current\n",
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" Dload Upload Total Spent Left Speed\n",
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"100 1155 100 1155 0 0 5130 0 --:--:-- --:--:-- --:--:-- 5133\n",
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"100 3027M 100 3027M 0 0 69.7M 0 0:00:43 0:00:43 --:--:-- 42.0M\n",
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"Download is done.\n",
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"/content/drive/MyDrive/vcclient\n",
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"Installing modules... Install is done.\n"
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]
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}
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],
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"source": [
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"#=================Updated=================\n",
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"# @title **[1]** Clone repository and install dependencies\n",
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@ -74,6 +100,13 @@
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"import shutil\n",
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"import base64\n",
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"import codecs\n",
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"import torch\n",
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"import sys\n",
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"\n",
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"from typing import Literal, TypeAlias\n",
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"\n",
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"Mode: TypeAlias = Literal[\"elf\", \"zip\"]\n",
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"mode:Mode=\"elf\"\n",
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"\n",
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"# Configs\n",
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"Run_Cell=0\n",
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@ -82,6 +115,14 @@
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"current_version_hash=None\n",
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"latest_version_hash=None\n",
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"\n",
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"# Check GPU\n",
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"if torch.cuda.is_available():\n",
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" print(\"GPU is available\")\n",
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" print(\"GPU Name:\", torch.cuda.get_device_name(0))\n",
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"else:\n",
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" print(\"GPU is not available\")\n",
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" # sys.exit(\"No GPU available. Change runtime.\")\n",
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"\n",
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"\n",
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"notebook_env=0\n",
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"if os.path.exists('/content'):\n",
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@ -122,7 +163,12 @@
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" print(f\"hash not match -> download latest version\")\n",
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"\n",
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" latest_hash_path=f'{work_dir}/latest_hash.txt'\n",
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" !curl -L https://huggingface.co/wok000/vcclient000_colab/resolve/main/vcclient_latest_for_colab.zip -o {work_dir}/vcclient_latest_for_colab.zip\n",
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"\n",
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" if mode == \"elf\":\n",
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" !curl -L https://huggingface.co/wok000/vcclient000_colab/resolve/main/vcclient_latest_for_colab -o {work_dir}/vcclient_latest_for_colab\n",
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" elif mode == \"zip\":\n",
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" !curl -L https://huggingface.co/wok000/vcclient000_colab/resolve/main/vcclient_latest_for_colab.zip -o {work_dir}/vcclient_latest_for_colab.zip\n",
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"\n",
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" !cp latest_hash.txt {latest_hash_path}\n",
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" print(\"Download is done.\")\n",
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" else:\n",
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@ -133,16 +179,25 @@
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" print(\"Downloading the latest vcclient... \")\n",
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" !curl -s -L https://huggingface.co/wok000/vcclient000_colab/resolve/main/latest_hash.txt -o latest_hash.txt\n",
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" latest_version_hash = open('latest_hash.txt').read().strip()\n",
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" !curl -L https://huggingface.co/wok000/vcclient000_colab/resolve/main/vcclient_latest_for_colab.zip -o {work_dir}/vcclient_latest_for_colab.zip\n",
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"\n",
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" if mode == \"elf\":\n",
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" !curl -L https://huggingface.co/wok000/vcclient000_colab/resolve/main/vcclient_latest_for_colab -o {work_dir}/vcclient_latest_for_colab\n",
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" elif mode == \"zip\":\n",
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" !curl -L https://huggingface.co/wok000/vcclient000_colab/resolve/main/vcclient_latest_for_colab.zip -o {work_dir}/vcclient_latest_for_colab.zip\n",
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"\n",
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" print(\"Download is done.\")\n",
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"\n",
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"if current_version_hash != latest_version_hash:\n",
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"if current_version_hash != latest_version_hash and mode == \"zip\":\n",
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" print(f\"Unzip vcclient to {latest_version_hash} ... \")\n",
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" !cd {work_dir} && unzip -q vcclient_latest_for_colab.zip -d {latest_version_hash}\n",
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" print(f\"Unzip is done.\")\n",
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"\n",
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"%cd {work_dir}/{latest_version_hash}/main\n",
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"!chmod 0700 main\n",
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"if mode == \"elf\":\n",
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" %cd {work_dir}/{latest_version_hash}\n",
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" !chmod 0700 vcclient_latest_for_colab\n",
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"elif mode == \"zip\":\n",
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" %cd {work_dir}/{latest_version_hash}/main\n",
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" !chmod 0700 main\n",
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"\n",
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"print(\"Installing modules... \",end=\"\")\n",
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"!sudo apt-get install -y libportaudio2 > /dev/null 2>&1\n",
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@ -154,14 +209,26 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 3,
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"metadata": {
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"id": "Dbx41M-zlknc",
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"cellView": "form"
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"cellView": "form",
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"outputId": "ae3d8a18-aa4c-4eb2-98aa-11e725cee2bf",
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"colab": {
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"base_uri": "https://localhost:8080/"
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}
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},
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"outputs": [],
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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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"ngrock ready\n"
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]
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}
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],
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"source": [
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"PORT=8000\n",
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"PORT=8003\n",
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"\n",
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"import codecs\n",
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"\n",
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@ -174,7 +241,7 @@
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"# @markdown **1** - Create a <font color=green>**free**</font> account at [ngrok](https://dashboard.ngrok.com/signup) or **login with Google/Github account**\\\n",
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"# @markdown **2** - If you didn't logged in with Google/Github, you will need to **verify your e-mail**!\\\n",
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"# @markdown **3** - Click [this link](https://dashboard.ngrok.com/get-started/your-authtoken) to get your auth token, and place it here:\n",
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"Token = '' # @param {type:\"string\"}\n",
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"Token = '20iohpfydDxibIq0KxJdfV2wZQF_5AxT7MKnLsKpn8JWeyJYK' # @param {type:\"string\"}\n",
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"# @markdown **4** - *(optional)* Change to a region near to you or keep at United States if increase latency\\\n",
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"# @markdown `Default Region: ap - Asia/Pacific (Singapore)`\n",
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"Region = \"jp - Japan (Tokyo)\" # @param [\"ap - Asia/Pacific (Singapore)\", \"au - Australia (Sydney)\",\"eu - Europe (Frankfurt)\", \"in - India (Mumbai)\",\"jp - Japan (Tokyo)\",\"sa - South America (Sao Paulo)\", \"us - United States (Ohio)\"]\n",
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@ -205,31 +272,87 @@
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"from pyngrok import ngrok\n",
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"ngrokConnection = ngrok.connect(PORT)\n",
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"public_url = ngrokConnection.public_url\n",
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"print(f\"your app's url is {public_url}\")"
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"print(f\"ngrock ready\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 4,
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"metadata": {
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"id": "s7mYqKtW6VOI",
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"cellView": "form"
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"cellView": "form",
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"outputId": "afa5d810-4904-4422-967e-54ba1642d01a",
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"colab": {
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"base_uri": "https://localhost:8080/"
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}
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},
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"outputs": [],
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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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"--------- SERVER READY! ---------\n",
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"Your server is available. elapsed: 145sec\n",
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"https://ae1e-34-125-45-231.ngrok-free.app\n",
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"---------------------------------\n"
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]
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}
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],
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"source": [
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"# @title **[3]** Start server\n",
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"# @markdown This cell will start the server, the first time that you run it will download the models, so it can take a while (~1-2 minutes)\n",
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"\n",
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"# @markdown When you see the message \"running...\", please launch the application from the link above.\n",
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"!LD_LIBRARY_PATH=/usr/lib64-nvidia:/usr/lib/x86_64-linux-gnu ./main cui --port {PORT} --no_cui true\n",
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"\n"
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"LOG_FILE = f\"/content/LOG_FILE_{PORT}\"\n",
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"if mode == \"elf\":\n",
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" # !LD_LIBRARY_PATH=/usr/lib64-nvidia:/usr/lib/x86_64-linux-gnu ./vcclient_latest_for_colab cui --port {PORT} --no_cui true &\n",
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"\n",
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" get_ipython().system_raw(f'LD_LIBRARY_PATH=/usr/lib64-nvidia:/usr/lib/x86_64-linux-gnu ./vcclient_latest_for_colab cui --port {PORT} --no_cui true >{LOG_FILE} 2>&1 &')\n",
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"elif mode == \"zip\":\n",
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" !LD_LIBRARY_PATH=/usr/lib64-nvidia:/usr/lib/x86_64-linux-gnu ./main cui --port {PORT} --no_cui true &\n",
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"\n",
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"\n",
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"import socket\n",
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"def wait_for_server():\n",
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" elapsed_time = 0\n",
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" start_time = time.time()\n",
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"\n",
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"\n",
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" while True:\n",
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" time.sleep(1)\n",
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" sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\n",
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" result = sock.connect_ex(('127.0.0.1', PORT))\n",
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" if result == 0:\n",
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" break\n",
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" sock.close()\n",
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" # 時刻を出力\n",
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" current_time = time.time()\n",
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" elapsed_time = int(current_time - start_time)\n",
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" clear_output(wait=True)\n",
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" print(f\"Waiting for server... elapsed: {elapsed_time}sec\")\n",
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" try:\n",
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" with open(LOG_FILE, 'r') as f:\n",
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" lines = f.readlines()[-5:]\n",
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" for line in lines:\n",
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" print(line.strip())\n",
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" except:\n",
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" pass\n",
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"\n",
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" if ClearConsole:\n",
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" clear_output()\n",
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" print(\"--------- SERVER READY! ---------\")\n",
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" print(f\"Your server is available. elapsed: {elapsed_time}sec\")\n",
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" print(public_url)\n",
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" print(\"---------------------------------\")\n",
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" # if Play_Notification==True:\n",
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" # play_notification_sound()\n",
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"wait_for_server()\n"
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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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"metadata": {
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"id": "iv9OixP6rCEP"
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"id": "WpjWNYwNXydp"
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},
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"execution_count": null,
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"outputs": []
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@ -238,7 +361,8 @@
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"metadata": {
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"colab": {
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"provenance": [],
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"authorship_tag": "ABX9TyNWJR74GxLHE/fMfDb7IR0J",
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"gpuType": "T4",
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"authorship_tag": "ABX9TyMV0OOBonc66rzKOaFNdK7a",
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"include_colab_link": true
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},
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"kernelspec": {
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@ -247,7 +371,8 @@
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},
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"language_info": {
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"name": "python"
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}
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},
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"accelerator": "GPU"
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},
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"nbformat": 4,
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"nbformat_minor": 0
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