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VoiceChangerDemo.ipynb
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@ -6,7 +6,7 @@
"name": "VoiceChangerDemo",
"provenance": [],
"collapsed_sections": [],
"authorship_tag": "ABX9TyNT6WJO/7PBaFoxZqBF/4bV",
"authorship_tag": "ABX9TyN61W+ggltXSTbKbQl0Nhqq",
"include_colab_link": true
},
"kernelspec": {
@ -75,7 +75,7 @@
"base_uri": "https://localhost:8080/"
},
"id": "vV1t7PBRm-o6",
"outputId": "f2f4a0c8-4de4-4083-c18b-ab1ff197b331"
"outputId": "5530154a-ec7d-456c-cb18-46622c2d44fe"
},
"execution_count": 1,
"outputs": [
@ -83,7 +83,7 @@
"output_type": "stream",
"name": "stdout",
"text": [
"Mon Sep 5 18:18:54 2022 \n",
"Sun Sep 18 20:59:42 2022 \n",
"+-----------------------------------------------------------------------------+\n",
"| NVIDIA-SMI 460.32.03 Driver Version: 460.32.03 CUDA Version: 11.2 |\n",
"|-------------------------------+----------------------+----------------------+\n",
@ -92,7 +92,7 @@
"| | | MIG M. |\n",
"|===============================+======================+======================|\n",
"| 0 Tesla T4 Off | 00000000:00:04.0 Off | 0 |\n",
"| N/A 48C P8 9W / 70W | 0MiB / 15109MiB | 0% Default |\n",
"| N/A 59C P8 12W / 70W | 0MiB / 15109MiB | 0% Default |\n",
"| | | N/A |\n",
"+-------------------------------+----------------------+----------------------+\n",
" \n",
@ -141,7 +141,7 @@
"base_uri": "https://localhost:8080/"
},
"id": "2wxD-gRSMU5R",
"outputId": "db09c354-222d-4d24-9134-7403d845c5f8"
"outputId": "f0428546-9e08-46d4-941c-70825b6a897c"
},
"outputs": [
{
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"base_uri": "https://localhost:8080/"
},
"id": "86wTFmqsNMnD",
"outputId": "99fc98a8-4358-4db8-b263-6f3f83637fb6"
"outputId": "6931d814-4238-416a-d001-8d45b3db5cec"
},
"execution_count": 4,
"outputs": [
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"name": "stdout",
"text": [
"Cloning into 'voice-changer'...\n",
"remote: Enumerating objects: 402, done.\u001b[K\n",
"remote: Counting objects: 100% (124/124), done.\u001b[K\n",
"remote: Compressing objects: 100% (94/94), done.\u001b[K\n",
"remote: Total 402 (delta 48), reused 72 (delta 29), pack-reused 278\u001b[K\n",
"Receiving objects: 100% (402/402), 21.10 MiB | 15.18 MiB/s, done.\n",
"Resolving deltas: 100% (184/184), done.\n",
"remote: Enumerating objects: 581, done.\u001b[K\n",
"remote: Counting objects: 100% (165/165), done.\u001b[K\n",
"remote: Compressing objects: 100% (131/131), done.\u001b[K\n",
"remote: Total 581 (delta 63), reused 66 (delta 32), pack-reused 416\u001b[K\n",
"Receiving objects: 100% (581/581), 23.57 MiB | 28.90 MiB/s, done.\n",
"Resolving deltas: 100% (290/290), done.\n",
"/content/voice-changer/demo\n"
]
}
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"cell_type": "code",
"source": [
"# (4-1) 設定ファイルの配置\n",
"!cp ../template/setting_colab.json ../frontend/dist/assets/setting.json\n"
"!cp ../template/setting_mmvc_colab.json ../frontend/dist/assets/setting.json\n"
],
"metadata": {
"id": "Bn4kV8TgXp8i"
},
"execution_count": 5,
"execution_count": 6,
"outputs": []
},
{
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"base_uri": "https://localhost:8080/"
},
"id": "pjxPsOOaXXTj",
"outputId": "0d139a40-6ea4-439c-a401-e13a300afb42"
"outputId": "4d89e777-f413-493b-d15e-eac4f5e2abc4"
},
"execution_count": 8,
"execution_count": 7,
"outputs": [
{
"output_type": "stream",
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"{\n",
" \"app_title\": \"voice-changer\",\n",
" \"majar_mode\": \"colab\",\n",
" \"voice_changer_server_url\": \"./test\",\n",
" \"voice_changer_server_url\": \"/test\",\n",
" \"sample_rate\": 48000,\n",
" \"buffer_size\": 1024,\n",
" \"prefix_chunk_size\": 24,\n",
@ -299,23 +299,20 @@
"source": [
"# (5) 設定ファイルの確認\n",
"!apt-get install -y espeak libsndfile1-dev\n",
"!pip install flask\n",
"!pip install python-socketio\n",
"!pip install eventlet\n",
"!pip install unidecode\n",
"!pip install phonemizer\n",
"!pip install retry\n",
"!pip install flask\n",
"!pip install flask_cors\n"
"!pip install fastapi\n",
"!pip install uvicorn"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "LwZAAuqxX7yY",
"outputId": "edc7b12d-4386-4045-9ac0-04db2cb1874f"
"outputId": "42437bdf-d619-4384-fba7-7948f26b272a"
},
"execution_count": 9,
"execution_count": 8,
"outputs": [
{
"output_type": "stream",
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"Get:3 http://archive.ubuntu.com/ubuntu bionic/universe amd64 espeak-data amd64 1.48.04+dfsg-5 [934 kB]\n",
"Get:4 http://archive.ubuntu.com/ubuntu bionic/universe amd64 libespeak1 amd64 1.48.04+dfsg-5 [145 kB]\n",
"Get:5 http://archive.ubuntu.com/ubuntu bionic/universe amd64 espeak amd64 1.48.04+dfsg-5 [61.6 kB]\n",
"Fetched 1,219 kB in 1s (1,458 kB/s)\n",
"Fetched 1,219 kB in 1s (2,360 kB/s)\n",
"Selecting previously unselected package libportaudio2:amd64.\n",
"(Reading database ... 155685 files and directories currently installed.)\n",
"(Reading database ... 155569 files and directories currently installed.)\n",
"Preparing to unpack .../libportaudio2_19.6.0-1_amd64.deb ...\n",
"Unpacking libportaudio2:amd64 (19.6.0-1) ...\n",
"Selecting previously unselected package libsonic0:amd64.\n",
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"Requirement already satisfied: Flask>=0.9 in /usr/local/lib/python3.7/dist-packages (from flask_cors) (1.1.4)\n",
"Requirement already satisfied: Six in /usr/local/lib/python3.7/dist-packages (from flask_cors) (1.15.0)\n",
"Requirement already satisfied: Jinja2<3.0,>=2.10.1 in /usr/local/lib/python3.7/dist-packages (from Flask>=0.9->flask_cors) (2.11.3)\n",
"Requirement already satisfied: itsdangerous<2.0,>=0.24 in /usr/local/lib/python3.7/dist-packages (from Flask>=0.9->flask_cors) (1.1.0)\n",
"Requirement already satisfied: Werkzeug<2.0,>=0.15 in /usr/local/lib/python3.7/dist-packages (from Flask>=0.9->flask_cors) (1.0.1)\n",
"Requirement already satisfied: Flask>=0.9 in /usr/local/lib/python3.7/dist-packages (from flask_cors) (1.1.4)\n",
"Requirement already satisfied: click<8.0,>=5.1 in /usr/local/lib/python3.7/dist-packages (from Flask>=0.9->flask_cors) (7.1.2)\n",
"Requirement already satisfied: Werkzeug<2.0,>=0.15 in /usr/local/lib/python3.7/dist-packages (from Flask>=0.9->flask_cors) (1.0.1)\n",
"Requirement already satisfied: itsdangerous<2.0,>=0.24 in /usr/local/lib/python3.7/dist-packages (from Flask>=0.9->flask_cors) (1.1.0)\n",
"Requirement already satisfied: Jinja2<3.0,>=2.10.1 in /usr/local/lib/python3.7/dist-packages (from Flask>=0.9->flask_cors) (2.11.3)\n",
"Requirement already satisfied: MarkupSafe>=0.23 in /usr/local/lib/python3.7/dist-packages (from Jinja2<3.0,>=2.10.1->Flask>=0.9->flask_cors) (2.0.1)\n",
"Installing collected packages: flask-cors\n",
"Successfully installed flask-cors-3.0.10\n"
@ -525,12 +522,13 @@
"cell_type": "code",
"source": [
"# (6-1) サーバの起動\n",
"get_ipython().system_raw(f'python3 serverFlask.py 8082 {CONFIG} {MODEL} >foo 2>&1 &')"
"PORT=8088\n",
"get_ipython().system_raw(f'python3 serverFlask.py {PORT} {CONFIG} {MODEL} >foo 2>&1 &')"
],
"metadata": {
"id": "iNOAB7zISI6J"
},
"execution_count": 10,
"execution_count": null,
"outputs": []
},
{
@ -546,7 +544,7 @@
"id": "chu06KpAjEK6",
"outputId": "58a7c911-9fff-489e-c5a7-221b89d4039a"
},
"execution_count": 16,
"execution_count": null,
"outputs": [
{
"output_type": "stream",
@ -590,9 +588,9 @@
"cell_type": "code",
"source": [
"# (7) プロキシを起動\n",
"from google.colab import output\n",
"\n",
"output.serve_kernel_port_as_window(8082)"
"from google.colab.output import eval_js\n",
"proxy = eval_js( \"google.colab.kernel.proxyPort(\" + str(PORT) + \")\" )\n",
"print(f\"{proxy}front/\")"
],
"metadata": {
"id": "nkRjZm95l87C",
@ -602,7 +600,7 @@
},
"outputId": "3c8be286-c4e2-4556-a709-44d79a8e1ce8"
},
"execution_count": 17,
"execution_count": null,
"outputs": [
{
"output_type": "display_data",

145
demo/serverFastAPI.py
View File

@ -1,17 +1,17 @@
from flask import Flask, request, Markup, abort, jsonify, send_from_directory
from flask_cors import CORS
import uvicorn
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from pydantic import BaseModel
from fastapi.encoders import jsonable_encoder
from fastapi.responses import JSONResponse
from fastapi.staticfiles import StaticFiles
import logging
from logging.config import dictConfig
import sys
import base64
import os, sys, base64, traceback, struct
import torch
import numpy as np
from scipy.io.wavfile import write, read
from datetime import datetime
import traceback
import struct
sys.path.append("mod")
sys.path.append("mod/text")
@ -21,32 +21,6 @@ from data_utils import TextAudioSpeakerLoader, TextAudioSpeakerCollate
from models import SynthesizerTrn
from text.symbols import symbols
dictConfig({
'version': 1,
'formatters': {'default': {
'format': '[%(asctime)s] %(levelname)s in %(module)s: %(message)s',
}},
'handlers': {'wsgi': {
'class': 'logging.StreamHandler',
'stream': 'ext://flask.logging.wsgi_errors_stream',
'formatter': 'default'
}},
'root': {
'level': 'INFO',
'handlers': ['wsgi']
}
})
app = Flask(__name__)
@app.route("/<path:path>")
def static_dir(path):
return send_from_directory("../frontend/dist", path)
@app.route('/', methods=['GET'])
def redirect_to_index():
return send_from_directory("../frontend/dist", 'index.html')
CORS(app, resources={r"/*": {"origins": "*"}})
class VoiceChanger():
def __init__(self, config, model):
@ -96,49 +70,76 @@ class VoiceChanger():
return audio1
logger = logging.getLogger('uvicorn')
@app.route('/test', methods=['GET', 'POST'])
def test():
args = sys.argv
PORT = args[1]
CONFIG = args[2]
MODEL = args[3]
logger.info('INITIALIZE MODEL')
voiceChanger = VoiceChanger(CONFIG, MODEL)
voiceChanger.on_request(0,0,0,0,0)
app = FastAPI()
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
app.mount("/front", StaticFiles(directory="../frontend/dist", html=True), name="static")
@app.get("/test")
def get_test():
try:
if request.method == 'GET':
return request.args.get('query', '')
elif request.method == 'POST':
print("POST REQUEST PROCESSING....")
gpu = int(request.json['gpu'])
srcId = int(request.json['srcId'])
dstId = int(request.json['dstId'])
timestamp = int(request.json['timestamp'])
buffer = request.json['buffer']
wav = base64.b64decode(buffer)
# print(wav)
# print(base64.b64encode(wav))
changedVoice = voiceChanger.on_request(gpu, srcId, dstId, timestamp, wav)
changedVoiceBase64 = base64.b64encode(changedVoice).decode('utf-8')
# print("changedVoice",changedVoice)
# print("CV64",changedVoiceBase64)
data = {
"gpu":gpu,
"srcId":srcId,
"dstId":dstId,
"timestamp":timestamp,
"changedVoiceBase64":changedVoiceBase64
}
return jsonify(data)
else:
return abort(400)
return request.args.get('query', '')
except Exception as e:
print("REQUEST PROCESSING!!!! EXCEPTION!!!", e)
print(traceback.format_exc())
return str(e)
class VoiceModel(BaseModel):
gpu: int
srcId: int
dstId: int
timestamp: int
buffer: str
@app.post("/test")
def post_test(voice:VoiceModel):
global voiceChanger
try:
print("POST REQUEST PROCESSING....")
gpu = voice.gpu
srcId = voice.srcId
dstId = voice.dstId
timestamp = voice.timestamp
buffer = voice.buffer
wav = base64.b64decode(buffer)
changedVoice = voiceChanger.on_request(gpu, srcId, dstId, timestamp, wav)
changedVoiceBase64 = base64.b64encode(changedVoice).decode('utf-8')
data = {
"gpu":gpu,
"srcId":srcId,
"dstId":dstId,
"timestamp":timestamp,
"changedVoiceBase64":changedVoiceBase64
}
json_compatible_item_data = jsonable_encoder(data)
return JSONResponse(content=json_compatible_item_data)
except Exception as e:
print("REQUEST PROCESSING!!!! EXCEPTION!!!", e)
print(traceback.format_exc())
return str(e)
if __name__ == '__main__':
args = sys.argv
PORT = args[1]
CONFIG = args[2]
MODEL = args[3]
app.logger.info('INITIALIZE MODEL')
voiceChanger = VoiceChanger(CONFIG, MODEL)
voiceChanger.on_request(0,0,0,0,0)
app.logger.info('START APP')
app.run(debug=True, host='0.0.0.0',port=PORT)
logger.info('START APP')
uvicorn.run(f"{os.path.basename(__file__)[:-3]}:app", host="0.0.0.0", port=int(PORT), reload=True)

2
trainer/Dockerfile
View File

@ -1,4 +1,4 @@
FROM dannadori/voice-changer-internal:20220919_045352 as front
FROM dannadori/voice-changer-internal:20220919_060759 as front
FROM debian:bullseye-slim as base
ARG DEBIAN_FRONTEND=noninteractive