242 lines
8.2 KiB
Plaintext
242 lines
8.2 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "b94f103d-ac43-4d13-83cb-eb5090220881",
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"metadata": {
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"jupyter": {
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"source_hidden": true
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}
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},
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"source": [
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"# EdgeTTS\n",
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"\n",
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"https://github.com/rany2/edge-tts\n",
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"\n",
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"edge-tts is a Python module that allows you to use Microsoft Edge's online text-to-speech service from within your Python code or using the provided edge-tts or edge-playback command."
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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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"id": "77deb08f-fec3-4327-b2f9-1c893aacaddc",
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"metadata": {
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"scrolled": true
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Requirement already satisfied: edge-tts in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (6.1.10)\n",
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"Requirement already satisfied: aiohttp>=3.8.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from edge-tts) (3.9.3)\n",
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"Requirement already satisfied: certifi>=2023.11.17 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from edge-tts) (2024.2.2)\n",
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"Requirement already satisfied: aiosignal>=1.1.2 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from aiohttp>=3.8.0->edge-tts) (1.3.1)\n",
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"Requirement already satisfied: attrs>=17.3.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from aiohttp>=3.8.0->edge-tts) (23.2.0)\n",
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"Requirement already satisfied: frozenlist>=1.1.1 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from aiohttp>=3.8.0->edge-tts) (1.4.1)\n",
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"Requirement already satisfied: multidict<7.0,>=4.5 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from aiohttp>=3.8.0->edge-tts) (6.0.5)\n",
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"Requirement already satisfied: yarl<2.0,>=1.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from aiohttp>=3.8.0->edge-tts) (1.9.4)\n",
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"Requirement already satisfied: idna>=2.0 in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (from yarl<2.0,>=1.0->aiohttp>=3.8.0->edge-tts) (3.4)\n",
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"Requirement already satisfied: pygame in /opt/homebrew/Caskroom/miniconda/base/lib/python3.12/site-packages (2.5.2)\n"
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]
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}
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],
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"source": [
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"!pip install edge-tts\n",
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"!pip install pygame"
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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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"id": "9aad6634-e833-4ec4-b285-84e051329712",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"pygame 2.5.2 (SDL 2.28.3, Python 3.12.1)\n",
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"Hello from the pygame community. https://www.pygame.org/contribute.html\n",
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"Files created!\n"
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]
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}
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],
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"source": [
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"import asyncio\n",
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"import edge_tts\n",
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"import pygame\n",
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"\n",
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"TEXT = \"\"\"\n",
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"cup, father, head, hat, above, mother, bird, sheep, ship, horse, blue, foot, day, eye, boy, nose, mouth, ear, hair, pure, fire, hour\n",
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"\"\"\"\n",
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"\n",
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"Wordlist = TEXT.split(\",\")\n",
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"\n",
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"for w in Wordlist:\n",
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" for VOICE in ['en-US-GuyNeural', 'en-GB-RyanNeural']:\n",
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" # for VOICE in ['en-US-GuyNeural']:\n",
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" w = w.strip()\n",
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" OUTPUT_FILE = f\"{w.replace(' ', '-').replace('?', '')}-{VOICE[3:5].replace('GB', 'UK').lower()}.mp3\"\n",
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" communicate = edge_tts.Communicate(w, VOICE)\n",
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" await communicate.save(OUTPUT_FILE) \n",
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"\n",
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"print(\"Files created!\") "
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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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"id": "1e54069c-db63-45ba-86e8-726730b19255",
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"metadata": {},
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"outputs": [],
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"source": [
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"import asyncio\n",
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"import edge_tts\n",
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"import pygame\n",
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"\n",
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"TEXT = \"Jane,dramatic,young,girl,loves,to,read,books,at,leisure,in,rooms,or,play,on,a,sunny,day,outdoor,here,and,there,under,the,trees,with,boys,She,vowed,to,buy,a,red,ear,dog,She,thought,it,was,unique,for,sure,Now,she,feeds,it,dough,nuts,and,cheese,bar\"\n",
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"Wordlist = TEXT.split(\",\")\n",
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"\n",
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"for w in Wordlist:\n",
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" for VOICE in ['zh-CN-YunxiNeural', 'zh-CN-XiaoxiaoNeural']:\n",
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" w = w.strip()\n",
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" OUTPUT_FILE = f\"{w}-{VOICE.replace('YunxiNeural', 'male').replace('XiaoxiaoNeural', 'female').lower()}.mp3\"\n",
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" communicate = edge_tts.Communicate(w, VOICE)\n",
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" await communicate.save(OUTPUT_FILE) \n",
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"\n",
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"print(\"Files created!\") "
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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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"id": "09d5ab47-5807-4ded-a8b9-45277831d425",
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"metadata": {},
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"outputs": [],
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"source": [
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"# VOICE = \"en-US-GuyNeural\" # Male\n",
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"# VOICE = \"en-US-AnaNeural\" # Female\n",
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"# VOICE = \"en-US-AndrewNeural\" # Male\n",
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"# VOICE = \"en-US-AriaNeural\" # Female\n",
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"# VOICE = \"en-US-AvaNeural\" # Female\n",
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"# VOICE = \"en-US-BrianNeural\" # Male\n",
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"# VOICE = \"en-US-ChristopherNeural\" # Male\n",
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"# VOICE = \"en-US-EmmaNeural\" # Female\n",
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"# VOICE = \"en-US-EricNeural\" # Male\n",
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"# VOICE = \"en-US-GuyNeural\" # Male\n",
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"# VOICE = \"en-US-JennyNeural\" # Female\n",
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"# VOICE = \"en-US-MichelleNeural\" # Female\n",
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"# VOICE = \"en-US-RogerNeural\" # Male\n",
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"# VOICE = \"en-US-SteffanNeural\" # Male\n",
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"# VOICE = \"en-GB-LibbyNeural\" # Female\n",
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"# VOICE = \"en-GB-MaisieNeural\" # Female\n",
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"# VOICE = \"en-GB-RyanNeural\" # Male\n",
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"# VOICE = \"en-GB-SoniaNeural\" # Female\n",
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"# VOICE = \"en-GB-ThomasNeural\" # Male\n",
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"# VOICE = \"en-AU-NatashaNeural\" # Female\n",
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"# VOICE = \"en-AU-WilliamNeural\" # Male\n",
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"# VOICE = \"en-CA-ClaraNeural\" # Female\n",
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"# VOICE = \"en-CA-LiamNeural\" # Male\n"
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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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"id": "862f0948",
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"metadata": {},
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"outputs": [],
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"source": [
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"pygame.mixer.init()\n",
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"pygame.mixer.music.load(OUTPUT_FILE)\n",
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"pygame.mixer.music.play()"
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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": 4,
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"id": "00939422-fbf9-4842-b82a-b6106624c075",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Files created!\n"
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]
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}
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],
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"source": [
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"import asyncio\n",
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"import edge_tts\n",
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"import pygame\n",
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"\n",
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"TEXT = \"cup, father, head, hat, above, mother, bird, sheep, ship, horse, blue, foot, day, eye, boy, nose, mouth, ear, hair, pure, fire, hour\"\n",
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"Wordlist = TEXT.split(\",\")\n",
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"\n",
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"for w in Wordlist:\n",
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" # for VOICE in ['en-US-GuyNeural', 'en-US-JennyNeural', 'en-GB-RyanNeural', 'en-GB-SoniaNeural']:\n",
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" for VOICE in ['en-US-GuyNeural', 'en-US-JennyNeural']:\n",
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" w = w.strip()\n",
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" # OUTPUT_FILE = f\"{w}-{VOICE.replace('GuyNeural', 'Guy-Male').replace('JennyNeural', 'Jenny-Female').replace('RyanNeural', 'Ryan-Male').replace('SoniaNeural', 'Sonia-Female').lower()}.mp3\"\n",
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" OUTPUT_FILE = f\"{w}-{VOICE.replace('GuyNeural', 'Male').replace('JennyNeural', 'Female').lower()}.mp3\"\n",
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" communicate = edge_tts.Communicate(w, VOICE)\n",
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" await communicate.save(OUTPUT_FILE) \n",
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"\n",
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"print(\"Files created!\") "
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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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"id": "93f68a91-7e6b-45ef-932e-533b695e4ac1",
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"metadata": {},
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"outputs": [],
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"source": [
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"# ru-RU-DmitryNeural\n",
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"# ko-KR-InJoonNeural"
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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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"id": "474c3f39-11ed-4d0a-b039-63df8b270044",
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"metadata": {},
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"outputs": [],
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"source": [
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"import os\n",
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"print(os.getcwd())"
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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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"id": "2128587f-e6c8-488d-8c40-6c958b9c735e",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.1"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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