mirror of
https://github.com/w-okada/voice-changer.git
synced 2025-02-02 16:23:58 +03:00
w-okada
GitHub
commit
7a3d222736
430
SoftVcDemo.ipynb
430
SoftVcDemo.ipynb
@ -11,27 +11,101 @@
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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": 1,
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"metadata": {
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"id": "5m_Xf_2NY6mI"
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},
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"outputs": [],
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"cell_type": "markdown",
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"source": [
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"import torch, torchaudio\n",
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"import IPython.display as display"
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]
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"Voice Changer (soft-vc)\n",
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"---\n",
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"\n",
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"This note is a demo version of Voice Changer for soft-vc. This demo is customized so as to run on Colab.\n",
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"\n",
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"The full version is an application that runs on Docker on a local PC.\n",
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"\n",
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"In general, the official version can convert audio smoothly with less time lag.\n",
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"\n",
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"Detailed usage instructions can be found in [this repository](https://github.com/w-okada/voice-changer)."
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],
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"metadata": {
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"id": "1ZGMhH_TqK-g"
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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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"# Check GPU\n",
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"GPU is required for soft-vc. Confirm GPU is assigned. "
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],
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"metadata": {
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"id": "s4nKpd5ArRky"
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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": 2,
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"source": [
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"# (1) Confirm GPU \n",
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"!nvidia-smi"
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],
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"metadata": {
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"id": "GGiC0rT2hoik",
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"id": "cGXhQNzhrQxO",
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"outputId": "19f8cd58-28ff-4e02-86fa-8a2484dabf6a",
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"outputId": "956d1935-0afd-404b-c64d-e10a0af67565"
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}
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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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"Sun Sep 18 22:18:45 2022 \n",
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"+-----------------------------------------------------------------------------+\n",
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"| NVIDIA-SMI 460.32.03 Driver Version: 460.32.03 CUDA Version: 11.2 |\n",
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"|-------------------------------+----------------------+----------------------+\n",
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"| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |\n",
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"| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |\n",
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"| | | MIG M. |\n",
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"|===============================+======================+======================|\n",
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"| 0 Tesla T4 Off | 00000000:00:04.0 Off | 0 |\n",
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"| N/A 35C P8 9W / 70W | 0MiB / 15109MiB | 0% Default |\n",
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"| | | N/A |\n",
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"+-------------------------------+----------------------+----------------------+\n",
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" \n",
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"+-----------------------------------------------------------------------------+\n",
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"| Processes: |\n",
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"| GPU GI CI PID Type Process name GPU Memory |\n",
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"| ID ID Usage |\n",
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"|=============================================================================|\n",
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"| No running processes found |\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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"# Install and import modules \n",
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"Install required modules.\n"
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],
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"metadata": {
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"id": "RN5bYStxr5eI"
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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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"# (2-1) Install Modules\n",
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"!pip install fastapi\n",
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"!pip install uvicorn\n"
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],
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"metadata": {
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"id": "od54JTHBrysO",
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"outputId": "267858d4-94f2-4606-e10c-d2b872248337",
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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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"execution_count": 3,
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"outputs": [
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{
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"output_type": "stream",
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@ -40,84 +114,102 @@
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"Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
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"Collecting fastapi\n",
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" Downloading fastapi-0.85.0-py3-none-any.whl (55 kB)\n",
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"\u001b[K |████████████████████████████████| 55 kB 3.6 MB/s \n",
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"\u001b[K |████████████████████████████████| 55 kB 3.0 MB/s \n",
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"\u001b[?25hRequirement already satisfied: pydantic!=1.7,!=1.7.1,!=1.7.2,!=1.7.3,!=1.8,!=1.8.1,<2.0.0,>=1.6.2 in /usr/local/lib/python3.7/dist-packages (from fastapi) (1.9.2)\n",
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"Collecting starlette==0.20.4\n",
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" Downloading starlette-0.20.4-py3-none-any.whl (63 kB)\n",
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"\u001b[K |████████████████████████████████| 63 kB 2.8 MB/s \n",
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"\u001b[?25hRequirement already satisfied: typing-extensions>=3.10.0 in /usr/local/lib/python3.7/dist-packages (from starlette==0.20.4->fastapi) (4.1.1)\n",
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"Collecting anyio<5,>=3.4.0\n",
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" Downloading anyio-3.6.1-py3-none-any.whl (80 kB)\n",
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"\u001b[K |████████████████████████████████| 80 kB 10.3 MB/s \n",
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"\u001b[?25hCollecting sniffio>=1.1\n",
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"\u001b[K |████████████████████████████████| 80 kB 10.8 MB/s \n",
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"\u001b[?25hRequirement already satisfied: idna>=2.8 in /usr/local/lib/python3.7/dist-packages (from anyio<5,>=3.4.0->starlette==0.20.4->fastapi) (2.10)\n",
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"Collecting sniffio>=1.1\n",
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" Downloading sniffio-1.3.0-py3-none-any.whl (10 kB)\n",
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"Requirement already satisfied: idna>=2.8 in /usr/local/lib/python3.7/dist-packages (from anyio<5,>=3.4.0->starlette==0.20.4->fastapi) (2.10)\n",
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"Installing collected packages: sniffio, anyio, starlette, fastapi\n",
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"Successfully installed anyio-3.6.1 fastapi-0.85.0 sniffio-1.3.0 starlette-0.20.4\n",
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"Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
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"Collecting uvicorn\n",
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" Downloading uvicorn-0.18.3-py3-none-any.whl (57 kB)\n",
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"\u001b[K |████████████████████████████████| 57 kB 5.0 MB/s \n",
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"\u001b[K |████████████████████████████████| 57 kB 3.8 MB/s \n",
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"\u001b[?25hCollecting h11>=0.8\n",
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" Downloading h11-0.13.0-py3-none-any.whl (58 kB)\n",
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"\u001b[K |████████████████████████████████| 58 kB 7.0 MB/s \n",
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"\u001b[?25hRequirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from uvicorn) (4.1.1)\n",
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"Requirement already satisfied: click>=7.0 in /usr/local/lib/python3.7/dist-packages (from uvicorn) (7.1.2)\n",
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"\u001b[K |████████████████████████████████| 58 kB 6.3 MB/s \n",
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"\u001b[?25hRequirement already satisfied: click>=7.0 in /usr/local/lib/python3.7/dist-packages (from uvicorn) (7.1.2)\n",
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"Requirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from uvicorn) (4.1.1)\n",
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"Installing collected packages: h11, uvicorn\n",
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"Successfully installed h11-0.13.0 uvicorn-0.18.3\n"
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]
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}
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||||
],
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"source": [
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"!pip install fastapi\n",
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"!pip install uvicorn"
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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": 3,
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"source": [
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"# (2-2) Import Modules\n",
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"import torch"
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],
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"metadata": {
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"id": "eCb2j68vsqxB"
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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": "markdown",
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"source": [
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"# Load models\n",
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"soft-vc needs 3 models."
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],
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"metadata": {
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"id": "wtPl3S3Xsfmp"
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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": 6,
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"metadata": {
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"id": "WO8XzrFMZGoj",
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"colab": {
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"base_uri": "https://localhost:8080/",
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"height": 324,
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"outputId": "acd54070-6987-466f-d3ae-11f1ae22fbad"
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},
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"outputs": [
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{
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@ -139,7 +231,7 @@
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"application/vnd.jupyter.widget-view+json": {
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"version_major": 2,
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"version_minor": 0,
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"model_id": "d1c9c8fc7db14c05ab0b749c06d28757"
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"model_id": "fad16a0235aa4e5bb2b8de5fcb183243"
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}
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||||
},
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"metadata": {}
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@ -163,7 +255,7 @@
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"application/vnd.jupyter.widget-view+json": {
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||||
"version_major": 2,
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"version_minor": 0,
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"model_id": "86662c7f8cf24bd2ab30a25e9376810a"
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"model_id": "0239844e12e64b9981e9e78dcf57d0ef"
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||||
}
|
||||
},
|
||||
"metadata": {}
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||||
@ -185,7 +277,7 @@
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"application/vnd.jupyter.widget-view+json": {
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"version_major": 2,
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"version_minor": 0,
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"model_id": "60c0c9c8c8d7408e8225218063184b30"
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"model_id": "1b89d116460746cb90858d77ff65cffa"
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}
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||||
},
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"metadata": {}
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@ -199,20 +291,30 @@
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}
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],
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"source": [
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"# (3) Load modules\n",
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"hubert = torch.hub.load(\"bshall/hubert:main\", \"hubert_soft\").cuda()\n",
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"acoustic = torch.hub.load(\"bshall/acoustic-model:main\", \"hubert_soft\").cuda()\n",
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"hifigan = torch.hub.load(\"bshall/hifigan:main\", \"hifigan_hubert_soft\").cuda()"
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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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"# Clone repository and configure\n"
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],
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||||
"metadata": {
|
||||
"id": "N0_ELMyls0Yl"
|
||||
}
|
||||
},
|
||||
{
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||||
"cell_type": "code",
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"execution_count": 4,
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"execution_count": 7,
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"metadata": {
|
||||
"colab": {
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||||
"base_uri": "https://localhost:8080/"
|
||||
},
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||||
"id": "lzo_ZWmAjaby",
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||||
"outputId": "f6e1b4f7-09f2-48fa-d368-d4ff51b7c5a2"
|
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"outputId": "425649e6-8c52-4142-869f-079d99bf958c"
|
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},
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"outputs": [
|
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{
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@ -220,28 +322,28 @@
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"name": "stdout",
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"text": [
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"Cloning into 'voice-changer'...\n",
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"remote: Enumerating objects: 100, done.\u001b[K\n",
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"remote: Counting objects: 100% (100/100), done.\u001b[K\n",
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"remote: Enumerating objects: 101, done.\u001b[K\n",
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"remote: Counting objects: 100% (101/101), done.\u001b[K\n",
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"remote: Compressing objects: 100% (87/87), done.\u001b[K\n",
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"remote: Total 100 (delta 11), reused 69 (delta 5), pack-reused 0\u001b[K\n",
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"Receiving objects: 100% (100/100), 18.97 MiB | 9.04 MiB/s, done.\n",
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"Resolving deltas: 100% (11/11), done.\n",
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"remote: Total 101 (delta 12), reused 70 (delta 6), pack-reused 0\u001b[K\n",
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"Receiving objects: 100% (101/101), 18.97 MiB | 21.06 MiB/s, done.\n",
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"Resolving deltas: 100% (12/12), done.\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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"source": [
|
||||
"# (3) リポジトリのクローン\n",
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||||
"# (4-1) Clone Repository\n",
|
||||
"!git clone --depth 1 https://github.com/w-okada/voice-changer.git\n",
|
||||
"%cd voice-changer/demo/"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
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"execution_count": 5,
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"execution_count": 8,
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||||
"metadata": {
|
||||
"id": "8-z9j4e_j-Wb",
|
||||
"outputId": "b4b1940a-debb-4cee-de06-6df269b637d7",
|
||||
"outputId": "a4855bb5-15d6-44f6-9201-8a78ea2f2309",
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/"
|
||||
}
|
||||
@ -293,20 +395,34 @@
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"# (4-1) 設定ファイルの配置\n",
|
||||
"# (4-2) settle the config file\n",
|
||||
"!cp ../template/setting_softvc_colab.json ../frontend/dist/assets/setting.json\n",
|
||||
"!cat ../frontend/dist/assets/setting.json\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"source": [
|
||||
"# Invoke server\n",
|
||||
"\n",
|
||||
"Invoke server with below (5-1)cell. And wait for ready with the command in (5-2)cell.\n",
|
||||
"\n",
|
||||
"Please wait for a while, then you can see the messsage.\n",
|
||||
"`Application startup complete.`."
|
||||
],
|
||||
"metadata": {
|
||||
"id": "hZAE_4gYtGOz"
|
||||
}
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 6,
|
||||
"execution_count": 9,
|
||||
"metadata": {
|
||||
"id": "-iPiSzvAepCl"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# (6-1) サーバの起動\n",
|
||||
"# (5-1) Invoke server\n",
|
||||
"PORT=8092\n",
|
||||
"get_ipython().system_raw(f'python3 SoftVcServerFastAPI.py {PORT} colab >foo 2>&1 &')"
|
||||
]
|
||||
@ -319,7 +435,7 @@
|
||||
"base_uri": "https://localhost:8080/"
|
||||
},
|
||||
"id": "IiWSwDjQidc7",
|
||||
"outputId": "2cab411c-f19c-45d6-9777-ca707f35da48"
|
||||
"outputId": "aab57f3f-45b5-4d67-ea9c-d522178c0560"
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
@ -331,7 +447,7 @@
|
||||
"Using cache found in /root/.cache/torch/hub/bshall_hifigan_main\n",
|
||||
"INFO: Will watch for changes in these directories: ['/content/voice-changer/demo']\n",
|
||||
"INFO: Uvicorn running on http://0.0.0.0:8092 (Press CTRL+C to quit)\n",
|
||||
"INFO: Started reloader process [199] using StatReload\n",
|
||||
"INFO: Started reloader process [281] using StatReload\n",
|
||||
"ENV: colab\n",
|
||||
"Removing weight norm...\n",
|
||||
"Using cache found in /root/.cache/torch/hub/bshall_hubert_main\n",
|
||||
@ -340,17 +456,31 @@
|
||||
"Using cache found in /root/.cache/torch/hub/bshall_hubert_main\n",
|
||||
"Using cache found in /root/.cache/torch/hub/bshall_acoustic-model_main\n",
|
||||
"Using cache found in /root/.cache/torch/hub/bshall_hifigan_main\n",
|
||||
"INFO: Started server process [208]\n",
|
||||
"INFO: Started server process [290]\n",
|
||||
"INFO: Waiting for application startup.\n",
|
||||
"INFO: Application startup complete.\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"# (6-2) サーバの起動確認 (Ctrl+Retで実行)\n",
|
||||
"# (5-2) Check server status (Run with Ctrl+Ret)\n",
|
||||
"!cat foo"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"source": [
|
||||
"# Invoke Proxy\n",
|
||||
"Starts a proxy to access the web server.\n",
|
||||
"\n",
|
||||
"Click on the URL displayed to open it and the application will open in a separate tab.\n",
|
||||
"\n",
|
||||
"Since it is a Colab, it will take some time to load (about 30 seconds)."
|
||||
],
|
||||
"metadata": {
|
||||
"id": "bHATIjjNuFFy"
|
||||
}
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"source": [
|
||||
@ -360,7 +490,7 @@
|
||||
],
|
||||
"metadata": {
|
||||
"id": "H8EpnHqDjknR",
|
||||
"outputId": "4102a1bd-e552-4114-c5cc-be7f08e9ef61",
|
||||
"outputId": "5a6611f0-fd18-4139-cbd9-85fc58401293",
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/",
|
||||
"height": 34
|
||||
@ -372,7 +502,7 @@
|
||||
"output_type": "stream",
|
||||
"name": "stdout",
|
||||
"text": [
|
||||
"https://m97ojc7rz8g-496ff2e9c6d22116-8092-colab.googleusercontent.com/front/\n"
|
||||
"https://ayh2m6j6xsd-496ff2e9c6d22116-8092-colab.googleusercontent.com/front/\n"
|
||||
]
|
||||
}
|
||||
]
|
||||
@ -392,7 +522,7 @@
|
||||
"colab": {
|
||||
"collapsed_sections": [],
|
||||
"provenance": [],
|
||||
"authorship_tag": "ABX9TyNKyuSHnQ2YtV79Qu1lmq3X",
|
||||
"authorship_tag": "ABX9TyPr96AMaFVFBXjmM/2mCqZO",
|
||||
"include_colab_link": true
|
||||
},
|
||||
"gpuClass": "standard",
|
||||
@ -405,7 +535,7 @@
|
||||
},
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||||
"widgets": {
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"_view_name": "HTMLView",
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"description_tooltip": null,
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"_view_name": "HTMLView",
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@ -545,7 +675,7 @@
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@ -597,7 +727,7 @@
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"width": null
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@ -612,7 +742,7 @@
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"description_width": ""
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}
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@ -664,7 +794,7 @@
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@ -680,7 +810,7 @@
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"_view_name": "HBoxView",
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@ -806,15 +936,15 @@
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|
||||
"7956a1d6392b4b6fab81e098e54dfefc": {
|
||||
"model_module": "@jupyter-widgets/controls",
|
||||
"model_name": "ProgressStyleModel",
|
||||
"model_module_version": "1.5.0",
|
||||
@ -1022,7 +1152,7 @@
|
||||
"description_width": ""
|
||||
}
|
||||
},
|
||||
"bd733abfa27d49e79205a8c8b83a7d56": {
|
||||
"19a1448c941249eb81d0d9bcdb3c6739": {
|
||||
"model_module": "@jupyter-widgets/base",
|
||||
"model_name": "LayoutModel",
|
||||
"model_module_version": "1.2.0",
|
||||
@ -1074,7 +1204,7 @@
|
||||
"width": null
|
||||
}
|
||||
},
|
||||
"bdc3ec183e854783bd5872dfbab2b1d1": {
|
||||
"6f41807bbd764265879de3b83d247ad4": {
|
||||
"model_module": "@jupyter-widgets/controls",
|
||||
"model_name": "DescriptionStyleModel",
|
||||
"model_module_version": "1.5.0",
|
||||
@ -1089,7 +1219,7 @@
|
||||
"description_width": ""
|
||||
}
|
||||
},
|
||||
"60c0c9c8c8d7408e8225218063184b30": {
|
||||
"1b89d116460746cb90858d77ff65cffa": {
|
||||
"model_module": "@jupyter-widgets/controls",
|
||||
"model_name": "HBoxModel",
|
||||
"model_module_version": "1.5.0",
|
||||
@ -1104,14 +1234,14 @@
|
||||
"_view_name": "HBoxView",
|
||||
"box_style": "",
|
||||
"children": [
|
||||
"IPY_MODEL_8993b4dc621a4d9d86f34816c35ba586",
|
||||
"IPY_MODEL_31a006a5b20749428459f18d20c244c4",
|
||||
"IPY_MODEL_350d51f1af7d41018fe8e7a95d51e5d6"
|
||||
"IPY_MODEL_6d7b8dd5f7cc41329cfc590141f3927a",
|
||||
"IPY_MODEL_878fc80433d84cb98b607629c8fecf08",
|
||||
"IPY_MODEL_cc841ac2ac954db78989389970890582"
|
||||
],
|
||||
"layout": "IPY_MODEL_82aa6f8faed74f1baa2e5673ce78a7e0"
|
||||
"layout": "IPY_MODEL_bb701d96133442c6b3aa70ddc585d01c"
|
||||
}
|
||||
},
|
||||
"8993b4dc621a4d9d86f34816c35ba586": {
|
||||
"6d7b8dd5f7cc41329cfc590141f3927a": {
|
||||
"model_module": "@jupyter-widgets/controls",
|
||||
"model_name": "HTMLModel",
|
||||
"model_module_version": "1.5.0",
|
||||
@ -1126,13 +1256,13 @@
|
||||
"_view_name": "HTMLView",
|
||||
"description": "",
|
||||
"description_tooltip": null,
|
||||
"layout": "IPY_MODEL_5c5ba05e0cca4810991903b7f37af96b",
|
||||
"layout": "IPY_MODEL_e38d4376820c40de97d97c78b119cd4f",
|
||||
"placeholder": "",
|
||||
"style": "IPY_MODEL_65a95487f3594da2924ed12340032eaf",
|
||||
"style": "IPY_MODEL_59323fae26814e03bad57866d75b76f1",
|
||||
"value": "100%"
|
||||
}
|
||||
},
|
||||
"31a006a5b20749428459f18d20c244c4": {
|
||||
"878fc80433d84cb98b607629c8fecf08": {
|
||||
"model_module": "@jupyter-widgets/controls",
|
||||
"model_name": "FloatProgressModel",
|
||||
"model_module_version": "1.5.0",
|
||||
@ -1148,15 +1278,15 @@
|
||||
"bar_style": "success",
|
||||
"description": "",
|
||||
"description_tooltip": null,
|
||||
"layout": "IPY_MODEL_21dd227254924fcc8d75d9187a393f11",
|
||||
"layout": "IPY_MODEL_b5b11bfc014c4a76a421012fb096e8e5",
|
||||
"max": 57562349,
|
||||
"min": 0,
|
||||
"orientation": "horizontal",
|
||||
"style": "IPY_MODEL_1cf612f6c11847d89721cab4b6d88223",
|
||||
"style": "IPY_MODEL_5da63d520023436aa71101b5561a5744",
|
||||
"value": 57562349
|
||||
}
|
||||
},
|
||||
"350d51f1af7d41018fe8e7a95d51e5d6": {
|
||||
"cc841ac2ac954db78989389970890582": {
|
||||
"model_module": "@jupyter-widgets/controls",
|
||||
"model_name": "HTMLModel",
|
||||
"model_module_version": "1.5.0",
|
||||
@ -1171,13 +1301,13 @@
|
||||
"_view_name": "HTMLView",
|
||||
"description": "",
|
||||
"description_tooltip": null,
|
||||
"layout": "IPY_MODEL_7e031f847c4d4c9f80dd80d8041f16e8",
|
||||
"layout": "IPY_MODEL_3040cd18ddae4853801274c3f10d17b0",
|
||||
"placeholder": "",
|
||||
"style": "IPY_MODEL_a2d3c4edf54d41a5b65f28d967b1be77",
|
||||
"value": " 54.9M/54.9M [00:08<00:00, 4.66MB/s]"
|
||||
"style": "IPY_MODEL_e533525617774461991000eb56899c0b",
|
||||
"value": " 54.9M/54.9M [00:02<00:00, 19.4MB/s]"
|
||||
}
|
||||
},
|
||||
"82aa6f8faed74f1baa2e5673ce78a7e0": {
|
||||
"bb701d96133442c6b3aa70ddc585d01c": {
|
||||
"model_module": "@jupyter-widgets/base",
|
||||
"model_name": "LayoutModel",
|
||||
"model_module_version": "1.2.0",
|
||||
@ -1229,7 +1359,7 @@
|
||||
"width": null
|
||||
}
|
||||
},
|
||||
"5c5ba05e0cca4810991903b7f37af96b": {
|
||||
"e38d4376820c40de97d97c78b119cd4f": {
|
||||
"model_module": "@jupyter-widgets/base",
|
||||
"model_name": "LayoutModel",
|
||||
"model_module_version": "1.2.0",
|
||||
@ -1281,7 +1411,7 @@
|
||||
"width": null
|
||||
}
|
||||
},
|
||||
"65a95487f3594da2924ed12340032eaf": {
|
||||
"59323fae26814e03bad57866d75b76f1": {
|
||||
"model_module": "@jupyter-widgets/controls",
|
||||
"model_name": "DescriptionStyleModel",
|
||||
"model_module_version": "1.5.0",
|
||||
@ -1296,7 +1426,7 @@
|
||||
"description_width": ""
|
||||
}
|
||||
},
|
||||
"21dd227254924fcc8d75d9187a393f11": {
|
||||
"b5b11bfc014c4a76a421012fb096e8e5": {
|
||||
"model_module": "@jupyter-widgets/base",
|
||||
"model_name": "LayoutModel",
|
||||
"model_module_version": "1.2.0",
|
||||
@ -1348,7 +1478,7 @@
|
||||
"width": null
|
||||
}
|
||||
},
|
||||
"1cf612f6c11847d89721cab4b6d88223": {
|
||||
"5da63d520023436aa71101b5561a5744": {
|
||||
"model_module": "@jupyter-widgets/controls",
|
||||
"model_name": "ProgressStyleModel",
|
||||
"model_module_version": "1.5.0",
|
||||
@ -1364,7 +1494,7 @@
|
||||
"description_width": ""
|
||||
}
|
||||
},
|
||||
"7e031f847c4d4c9f80dd80d8041f16e8": {
|
||||
"3040cd18ddae4853801274c3f10d17b0": {
|
||||
"model_module": "@jupyter-widgets/base",
|
||||
"model_name": "LayoutModel",
|
||||
"model_module_version": "1.2.0",
|
||||
@ -1416,7 +1546,7 @@
|
||||
"width": null
|
||||
}
|
||||
},
|
||||
"a2d3c4edf54d41a5b65f28d967b1be77": {
|
||||
"e533525617774461991000eb56899c0b": {
|
||||
"model_module": "@jupyter-widgets/controls",
|
||||
"model_name": "DescriptionStyleModel",
|
||||
"model_module_version": "1.5.0",
|
||||
|
||||
@ -142,4 +142,4 @@ def post_test(voice:VoiceModel):
|
||||
|
||||
if __name__ == '__main__':
|
||||
logger.info('START APP')
|
||||
uvicorn.run(f"{os.path.basename(__file__)[:-3]}:app", host="0.0.0.0", port=int(PORT), reload=True)
|
||||
uvicorn.run(f"{os.path.basename(__file__)[:-3]}:app", host="0.0.0.0", port=int(PORT), reload=True, log_level="info")
|
||||
|
||||
@ -2,7 +2,7 @@
|
||||
|
||||
# 参考:https://programwiz.org/2022/03/22/how-to-write-shell-script-for-option-parsing/
|
||||
|
||||
DOCKER_IMAGE=dannadori/voice-changer:20220919_043908
|
||||
DOCKER_IMAGE=dannadori/voice-changer:20220919_073405
|
||||
TENSORBOARD_PORT=6006
|
||||
VOICE_CHANGER_PORT=8080
|
||||
|
||||
|
||||
@ -1,4 +1,4 @@
|
||||
FROM dannadori/voice-changer-internal:20220919_060759 as front
|
||||
FROM dannadori/voice-changer-internal:20220919_073236 as front
|
||||
FROM debian:bullseye-slim as base
|
||||
|
||||
ARG DEBIAN_FRONTEND=noninteractive
|
||||
|
||||
Loading…
Reference in New Issue
Block a user