{
"cells": [
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [],
"source": [
"import sys\n",
"import requests\n",
"import json\n",
"import vlc\n",
"import re\n",
"import random\n",
"from IPython.display import Audio\n",
"\n",
"def load_json_database(url):\n",
" records = []\n",
" try:\n",
" response = requests.get(url)\n",
" response.raise_for_status() # Raise an error for bad status codes\n",
" for line in response.iter_lines(decode_unicode=True):\n",
" if line:\n",
" try:\n",
" record = json.loads(line)\n",
" records.append(record)\n",
" except json.JSONDecodeError as e:\n",
" print(f\"Error parsing JSON: {e}\")\n",
" except requests.exceptions.RequestException as e:\n",
" print(f\"Error fetching data from URL: {e}\")\n",
" return records\n",
"\n",
"def search_in_json_database(database, search_word, region):\n",
" for record in database:\n",
" # 检查 word 字段是否匹配\n",
" if record.get('word') == search_word:\n",
" # 找到匹配项后,获取美式发音信息\n",
" pos_items = record.get('pos_items', [])\n",
" for pos_item in pos_items:\n",
" pronunciations = pos_item.get('pronunciations', [])\n",
" for pronunciation in pronunciations:\n",
" if pronunciation.get('region') == region:\n",
" # 找到美式发音,返回相关信息\n",
" return {\n",
" 'pronunciation': pronunciation.get('pronunciation'),\n",
" 'audio': pronunciation.get('audio')\n",
" }\n",
" # 如果没有找到匹配的 word 字段,返回 'not exist'\n",
" return 'not exist'\n",
"\n",
"url = \"https://raw.githubusercontent.com/zelic91/camdict/main/cam_dict.refined.json\"\n",
"\n",
"json_database = load_json_database(url)\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"text =\"\"\"\n",
"### `w`\n",
"\n",
"* \"w\" - week, weird, wife\n",
"* \"wh\" - white, what, why\n",
"\n",
"### `j`\n",
"\n",
"* \"y\" - yes, yet, yoke\n",
"* \"i\" - onion, million\n",
"* \"j\" - jager, hallelujah\n",
"\n",
"\"\"\"\n",
"\n",
"words = \"\"\n",
"phonetics_not_exist = ''\n",
"lines = text.split(\"\\n\")\n",
"for line in lines:\n",
" line = line.replace(\" `\", \" \")\n",
" line = line.replace(\"`\", \"\")\n",
" if '*' in line:\n",
" line = line.replace('\"', \"**\")\n",
" examples = line.split(\"-\")[1].split(\",\")\n",
" examples = [x.strip() for x in examples]\n",
" line = line.replace(\" - \", \"\\n\")\n",
" # print(examples)\n",
" # wrap examples in span,\n",
" for e in examples:\n",
" # join e in words with ','\n",
" words += e + \",\"\n",
" entry_us = search_in_json_database(json_database, e, 'us')\n",
" if entry_us == 'not exist':\n",
" phonetics = entry_us\n",
" phonetics_not_exist += f'{e},'\n",
" else:\n",
" phonetics = entry_us['pronunciation'] \n",
" wrapped_e = f'\\t- {e} {phonetics} \\n'\n",
" line = line.replace(e, wrapped_e).replace(',', '').strip()\n",
" \n",
"\n",
" print(line)\n",
"print(f'phonetics_not_exist: {phonetics_not_exist}')\n",
"print('\\n'+words)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import asyncio\n",
"import edge_tts\n",
"import pygame\n",
"text = words.rstrip(\",\")\n",
"Wordlist = text.split(\",\")\n",
"\n",
"print(Wordlist)\n",
"for w in Wordlist:\n",
" # for VOICE in ['en-US-GuyNeural', 'en-US-JennyNeural', 'en-GB-RyanNeural', 'en-GB-SoniaNeural']:\n",
" for VOICE in ['en-US-GuyNeural', 'en-US-MichelleNeural']:\n",
" w = w.strip()\n",
" # OUTPUT_FILE = f\"{w}-{VOICE.replace('EricNeural', 'Guy-Male').replace('JennyNeural', 'Jenny-Female').replace('RyanNeural', 'Ryan-Male').replace('SoniaNeural', 'Sonia-Female').lower()}.mp3\"\n",
" OUTPUT_FILE = f\"{w}-{VOICE.replace('GuyNeural', 'Male').replace('MichelleNeural', 'Female').replace('en-', '').lower()}.mp3\"\n",
" communicate = edge_tts.Communicate(w, VOICE)\n",
" await communicate.save(OUTPUT_FILE) \n",
" print(w)\n",
"print(\"Files created!\") "
]
}
],
"metadata": {
"kernelspec": {
"display_name": "base",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.4"
}
},
"nbformat": 4,
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}