155 lines
5.5 KiB
Plaintext
155 lines
5.5 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 35,
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"metadata": {},
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"outputs": [],
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"source": [
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"import sys\n",
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"import requests\n",
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"import json\n",
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"import vlc\n",
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"import re\n",
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"import random\n",
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"from IPython.display import Audio\n",
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"\n",
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"def load_json_database(url):\n",
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" records = []\n",
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" try:\n",
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" response = requests.get(url)\n",
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" response.raise_for_status() # Raise an error for bad status codes\n",
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" for line in response.iter_lines(decode_unicode=True):\n",
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" if line:\n",
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" try:\n",
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" record = json.loads(line)\n",
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" records.append(record)\n",
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" except json.JSONDecodeError as e:\n",
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" print(f\"Error parsing JSON: {e}\")\n",
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" except requests.exceptions.RequestException as e:\n",
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" print(f\"Error fetching data from URL: {e}\")\n",
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" return records\n",
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"\n",
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"def search_in_json_database(database, search_word, region):\n",
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" for record in database:\n",
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" # 检查 word 字段是否匹配\n",
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" if record.get('word') == search_word:\n",
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" # 找到匹配项后，获取美式发音信息\n",
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" pos_items = record.get('pos_items', [])\n",
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" for pos_item in pos_items:\n",
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" pronunciations = pos_item.get('pronunciations', [])\n",
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" for pronunciation in pronunciations:\n",
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" if pronunciation.get('region') == region:\n",
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" # 找到美式发音，返回相关信息\n",
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" return {\n",
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" 'pronunciation': pronunciation.get('pronunciation'),\n",
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" 'audio': pronunciation.get('audio')\n",
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" }\n",
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" # 如果没有找到匹配的 word 字段，返回 'not exist'\n",
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" return 'not exist'\n",
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"\n",
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"url = \"https://raw.githubusercontent.com/zelic91/camdict/main/cam_dict.refined.json\"\n",
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"\n",
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"json_database = load_json_database(url)\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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"metadata": {},
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"outputs": [],
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"source": [
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"text =\"\"\"\n",
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"### `w`\n",
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"\n",
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"* \"w\" - week, weird, wife\n",
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"* \"wh\" - white, what, why\n",
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"\n",
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"### `j`\n",
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"\n",
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"* \"y\" - yes, yet, yoke\n",
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"* \"i\" - onion, million\n",
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"* \"j\" - jager, hallelujah\n",
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"\n",
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"\"\"\"\n",
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"\n",
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"words = \"\"\n",
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"phonetics_not_exist = ''\n",
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"lines = text.split(\"\\n\")\n",
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"for line in lines:\n",
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" line = line.replace(\" `\", \" <span class=\\\"pho\\\">\")\n",
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" line = line.replace(\"`\", \"</span>\")\n",
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" if '*' in line:\n",
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" line = line.replace('\"', \"**\")\n",
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" examples = line.split(\"-\")[1].split(\",\")\n",
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" examples = [x.strip() for x in examples]\n",
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" line = line.replace(\" - \", \"\\n\")\n",
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" # print(examples)\n",
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" # wrap examples in span,\n",
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" for e in examples:\n",
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" # join e in words with ','\n",
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" words += e + \",\"\n",
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" entry_us = search_in_json_database(json_database, e, 'us')\n",
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" if entry_us == 'not exist':\n",
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" phonetics = entry_us\n",
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" phonetics_not_exist += f'{e},'\n",
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" else:\n",
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" phonetics = entry_us['pronunciation'] \n",
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" wrapped_e = f'\\t- {e} <span class=\"pho alt\">{phonetics}</span> <span class=\"speak-word-inline\" data-audio-us-male=\"/audios/us/{e}-us-male.mp3\" data-audio-us-female=\"/audios/us/{e}-us-female.mp3\"></span>\\n'\n",
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" line = line.replace(e, wrapped_e).replace(',', '').strip()\n",
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" \n",
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"\n",
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" print(line)\n",
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"print(f'phonetics_not_exist: {phonetics_not_exist}')\n",
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"print('\\n'+words)"
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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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"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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"text = words.rstrip(\",\")\n",
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"Wordlist = text.split(\",\")\n",
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"\n",
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"print(Wordlist)\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-MichelleNeural']:\n",
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" w = w.strip()\n",
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" # OUTPUT_FILE = f\"{w}-{VOICE.replace('EricNeural', '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('MichelleNeural', 'Female').replace('en-', '').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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" print(w)\n",
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"print(\"Files created!\") "
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "base",
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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": "3.12.4"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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