Package: add 1000-hours repo in workspace (#337)
* add 1000-hours repo in workspace * update README
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "f330d08f-fa3c-4cf4-bf53-136be20393e9",
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"metadata": {
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"scrolled": true
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},
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"outputs": [],
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"source": [
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"# Install or update openai modules \n",
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"%pip install openai\n",
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"# %pip install --upgrade openai\n",
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"%pip install edge-tts"
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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": "71ad2e48-3b33-42d3-8e4c-9f89c61110de",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Load Modules\n",
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"from openai import OpenAI\n",
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"import IPython\n",
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"from datetime import datetime\n",
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"import asyncio\n",
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"import edge_tts"
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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": "7a492b90-fa90-4d8b-934a-05d0cc2ff2c1",
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"metadata": {},
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"outputs": [],
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"source": [
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"client = OpenAI(\n",
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" # replace openai api key below (which is invalid) with your own\n",
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" api_key=\"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\" \n",
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")\n",
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"\n",
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"role_definition = \"\"\"\n",
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"你是我的日语教练。\n",
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"请将我的话改写成日文。\n",
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"不需要逐字翻译。\n",
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"请分析清楚我的内容,而后用英文重新逻辑清晰地组织它。\n",
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"请使用地道的日语,东京腔调。\n",
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"yb xm使用敬语。\n",
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"每个句子最长不应该超过 20 个字。\n",
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"\"\"\"\n",
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"\n",
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"user_prompt = \"\"\"\n",
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"人们对高管、首席执行官或庞大业务部门的领导者有不一样的憧憬。\n",
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"他们认为,在那个级别的每个人都有足够的经验和智慧,至少看起来知道自己在做什么。\n",
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"他们假定那里有深思熟虑、战略和长远思考,以及握手言和的合理交易。\n",
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"但有些时候,它是高中;甚至有些时候,它是幼儿园。\n",
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"\"\"\"\n",
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"\n",
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"# how many versions needed.\n",
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"number_of_choices = 3\n",
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"\n",
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"# your openai subscription might not support gpt-4...\n",
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"# gpt-3.5 is ok too.\n",
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"rspd_translation = client.chat.completions.create(\n",
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" model=\"gpt-4\",\n",
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" messages=[\n",
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" {\n",
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" \"role\": \"system\", \n",
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" \"content\": role_definition\n",
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" },\n",
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" {\n",
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" \"role\": \"user\", \n",
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" \"content\": user_prompt\n",
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" }\n",
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" ],\n",
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" n = number_of_choices \n",
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")\n",
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"\n",
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"for rspd in rspd_translation.choices:\n",
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" print(f\"{rspd.index+1}.\\n{rspd.message.content}\\n\\n\")\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": "d28f1714-bdbe-4f29-b52c-56a07af6d60e",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Or else, you could rewrite your own version for open ai tts\n",
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"your_version = \"\"\"\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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"cell_type": "code",
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"execution_count": null,
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"id": "927a94e4-40ec-47d9-8e39-c69e5c5205d9",
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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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"人々は、高位の経営者、CEO、大きなビジネス部門のリーダーに対して夢想を抱くものです。\n",
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"そのレベルの人々が、少なくとも行っていることを理解しているかのように見える程度の経験と知恵を持っていると思われます。\n",
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"深い思考、戦略、長期的な思考、そして適切な取引のための握手があると想定されます。\n",
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"しかし、時にはそれは高校レベルのもので、ある時は幼稚園レベルのものさえあります。\n",
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"\"\"\"\n",
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"# VOICE = \"ja-JP-KeitaNeural\" # male\n",
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"VOICE = \"ja-JP-NanamiNeural\" # female\n",
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"\n",
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"OUTPUT_FILE_NAME = f\"{VOICE}_{TEXT[:15]}.mp3\"\n",
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"\n",
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"OUTPUT_FILE = f\"{OUTPUT_FILE_NAME}.mp3\"\n",
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"WEBVTT_FILE = f\"{OUTPUT_FILE_NAME}.vtt\"\n",
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"\n",
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"communicate = edge_tts.Communicate(TEXT, VOICE)\n",
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"await communicate.save(OUTPUT_FILE)\n",
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"\n",
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"submaker = edge_tts.SubMaker()\n",
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"with open(OUTPUT_FILE, \"wb\") as file:\n",
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" async for chunk in communicate.stream():\n",
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" if chunk[\"type\"] == \"audio\":\n",
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" file.write(chunk[\"data\"])\n",
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" elif chunk[\"type\"] == \"WordBoundary\":\n",
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" submaker.create_sub((chunk[\"offset\"], chunk[\"duration\"]), chunk[\"text\"])\n",
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"\n",
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"with open(WEBVTT_FILE, \"w\", encoding=\"utf-8\") as file:\n",
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" file.write(submaker.generate_subs())\n",
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"\n",
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"print(f\"Audio files created: {OUTPUT_FILE}\")\n",
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"\n",
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"IPython.display.Audio(OUTPUT_FILE)"
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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": "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": "3.11.5"
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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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