1225 条记录
52 私有链接
52 私有链接
google出品的图片融合技术
Gemini英语口语助手是一款基于Google Gemini AI的英语口语练习软件，它能实时识别并纠正发音，提供语法建议和情景对话练习。 用户需要Python 3.8+环境和Google Gemini API Key才能使用，软件支持Windows、macOS和Ubuntu/Debian系统。
MarkItDown库是一个实用工具，可以将多种文件（PDF、PPT、Word、Excel、图片、音频、HTML等）转换为Markdown格式，方便索引和文本分析。它支持使用大型语言模型描述图片，并提供简单的API接口。该项目欢迎贡献，并遵守微软开源行为准则。
今天逛 Github ，时间线提示 Github Models 又上了两个新模型，当然不出意外，默认的 /mdoels 路由还是无人维护，拉取不到最新的模型列表，不过不影响调用，调用限速等级为 high，模型名称如下：
Llama-3.3-70B-Instruct, Mistral-large-2411
Cursor注册脚本
import asyncio
import random
import string
from DrissionPage import Chromium
import requests
from mailtmapi import MailTM
import time
import re
import os
def generate_temp_password():
return "".join(random.choices(string.ascii_letters + string.digits, k=12))
async def main():
BASE_URL = "https://api.mail.tm"
mailtm = MailTM()
temp_mail = await mailtm.get_account()
password = generate_temp_password()
# 打开https://authenticator.cursor.sh/sign-up页面
tab = Chromium().latest_tab
tab.get("https://authenticator.cursor.sh/sign-up")
# 输入邮箱
print("input email")
email_input = tab.ele("@id=radix-:R2bapnltbnla:")
email_input.input(temp_mail.address)
time.sleep(1)
# 点击下一步
print("click continue")
tab.ele('@text()=Continue').click()
time.sleep(3)
password_input = tab.ele("@id=radix-:r1:")
print("input password")
password_input.input(password)
time.sleep(1)
# 点击下一步
print("click continue")
tab.ele('@text()=Continue').click()
print("waiting for email...")
time.sleep(10)
# 接收邮件
messages = await mailtm.get_messages(temp_mail.token.token, 1)
message = messages.hydra_member[0]
# print(message)
# 下载邮件
print("download email")
response = requests.get(BASE_URL + message.downloadUrl,
headers={'Authorization': f'Bearer {temp_mail.token.token}'})
# 解析邮件内容
message_text = response.text.strip().replace('\n', '').replace('\r', '').replace('=', '')
verify_code = re.search(r'Your verification code is (\d+)', message_text).group(1).strip()
print("verify_code: ", verify_code)
# 直接模拟键盘输入
for i in verify_code:
tab.actions.key_down(str(i))
time.sleep(0.1)
tab.actions.key_up(str(i))
time.sleep(5)
# 获取cookie 中的 WorkosCursorSessionToken
cookies = tab.cookies().as_dict()
print("Register Success!")
print("Account: ", temp_mail.address)
print("Password: ", password)
print("Cookies: ", cookies)
# 确保output文件夹存在
os.makedirs('output', exist_ok=True)
with open('output/cursor_accounts.txt', 'a', encoding='utf-8') as f:
f.write(f"Account: {temp_mail.address}\n")
f.write(f"Password: {password}\n")
f.write(f"Cookies: {cookies}\n")
f.write(f"\n")
if __name__ == "__main__":
repeat_times = 5 # 注册次数
for i in range(repeat_times):
try:
asyncio.run(main())
except Exception as e:
print(e)英语台词社是一个公益网站，拥有超过54000部电影和110000集美剧的完整英文字幕，可帮助英语学习者提升听力、口语和词汇量，是学习英语的宝贵资源。 网站地址：https://www.taicishe.com
Speech-AI-Forge 是一个专注于 TTS（文本转语音）生成模型的项目，提供了 API 服务器和基于 Gradio 的 WebUI。用户可以通过 HuggingFace Spaces 在线体验，或使用 Colab、Docker 进行本地部署。项目支持多种 TTS 功能，如音色切换、风格控制、长文本推理等，并支持多模型推理，包括 ChatTTS、CosyVoice 等。此外，还提供了 ASR（自动语音识别）功能和音频后处理工具，优化语音生成质量。用户可以通过 API 或 WebUI 进行语音复刻、音色管理等操作，项目还支持自定义音色上传和推理。
WebDev Arena: AI Battle to build the best website
WebDev Arena: AI 大战打造最优秀的网站
这段文字主要讨论Gemini 2.0 Flash的联网搜索功能。该功能已免费支持Google联网搜索，可以通过API和NextChat等方式使用，但通过GCP Vertex AI渠道使用则需付费。一些用户分享了使用经验和技巧，并讨论了免费方案和付费方案的成本及限制。
今天我们来讲解词汇妙趣国的第一本,<break time="0.1s"/>古力警官,<break time="0.1s"/>通过这本书可以让小朋友认识警察的角色和职责,<break time="0.1s"/><break time="0.1s"/>引导孩子观察警察局和警车,<break time="0.1s"/>激发他们对警察职业的兴趣。学习where、when、以及颜色和食物等相关的词汇,<break time="0.1s"/>同时学会简单的求助和给予帮助的句型。<break time="0.1s"/>
Look,<break time="0.1s"/> it's Gyuri! Gyuri is wearing a police hat,<break time="0.1s"/> so he is a police officer! Behind Gyuri,<break time="0.1s"/> there's a building,<break time="0.1s"/> it's the police station and police car,<break time="0.1s"/>
Leo is running quickly to the police station,<break time="0.1s"/>Looks like he has a problem,<break time="0.1s"/>
Gyuri is a very kind police officer,<break time="0.1s"/>He asks Leo,<break time="0.1s"/> 'May I help you?',<break time="0.1s"/>Leo says,<break time="0.1s"/> 'I lost my bag.' Oh Poor Leo! Gyuri comes over and says to Leo,<break time="0.1s"/> 'Don't worry,<break time="0.1s"/>I'll help you.' Look over there! There's a sheep! And what's on his head? A police hat! The sheep is a police officer too! He's helping a blind dog.
Gyuri wants to know where Leo lost his bag,<break time="0.1s"/>He asks,<break time="0.1s"/> 'Where did you lose it?' Leo is thinking,<break time="0.1s"/>He says,<break time="0.1s"/> 'Maybe at the market,<break time="0.1s"/>I'm not sure.' Hmm,<break time="0.1s"/> he doesn’t remember exactly,<break time="0.1s"/>Oh,<break time="0.1s"/> look at the map,<break time="0.1s"/> what else do we see? Can you see the bakery? And the restaurant? And the hospital? And the post office? And the toy shop?
Gyuri wants to help Leo remember where he might have lost his bag,<break time="0.1s"/>So,<break time="0.1s"/> he asks,<break time="0.1s"/> Who were you with? Leo starts to think hard,<break time="0.1s"/>Hmm..,<break time="0.1s"/>he says,<break time="0.1s"/> I was with Ducky at Bella’s clinic,<break time="0.1s"/> Then I went to the bakery with Teeny,<break time="0.1s"/>And after the bakery,<break time="0.1s"/> I was with Bella at the toy shop,<break time="0.1s"/>And then,<break time="0.1s"/> I went to the fruit store with Jojo,<break time="0.1s"/>Maybe I was with Jojo when I lost my bag,<break time="0.1s"/>I’m not sure,<break time="0.1s"/>
Gyuri asks,<break time="0.1s"/> 'When did you lose it?',<break time="0.1s"/>Leo looks confused,<break time="0.1s"/>He says,<break time="0.1s"/> 'I'm not sure.' Oh dear,<break time="0.1s"/> he can't remember when he lost it either,<break time="0.1s"/>And look,<break time="0.1s"/> there are so many clocks on this page!
Oh no,<break time="0.1s"/> look at Leo now,<break time="0.1s"/> he is very sad,<break time="0.1s"/> he is crying andshouting: 'Where is my BAG?',<break time="0.1s"/>Gyuri says,<break time="0.1s"/> 'Don't worry,<break time="0.1s"/>We can find it.' It's good that Gyuri is there to help him,<break time="0.1s"/>Gyuri is so kind"
Now,<break time="0.1s"/> Gyuri is asking about the bag itself,<break time="0.1s"/>He asks,<break time="0.1s"/> 'What color is your bag?' There are so many bags with different colors here! We can see red,<break time="0.1s"/> yellow,<break time="0.1s"/> blue,<break time="0.1s"/> green,<break time="0.1s"/> pink,<break time="0.1s"/> black,<break time="0.1s"/> white,<break time="0.1s"/> and brown bags! And Leo answers 'It's brown.' So Leo's bag is brown! Can you point to the brown bag?”
Okay,<break time="0.1s"/> we're getting closer to finding your bag,<break time="0.1s"/> Leo,<break time="0.1s"/> 'What's in your bag?' Leo thinks hard,<break time="0.1s"/> trying to remember everything that was inside,<break time="0.1s"/> Let's see what Leo remembers: candies,<break time="0.1s"/> oranges,<break time="0.1s"/> hot dogs,<break time="0.1s"/> cookies,<break time="0.1s"/> cherries,<break time="0.1s"/> yogurt,<break time="0.1s"/> sandwiches,<break time="0.1s"/> and hamburgers! Wow! Leo had so many yummy foods in his bag!
Boing! Look! An orange has popped out and is rolling away! Hearing the sound,<break time="0.1s"/> Gyuri and Leo both look down,<break time="0.1s"/> and..,<break time="0.1s"/>what do they see? Guess what? Leo's had his bag on his back the whole time! Can you believe it? Leo looks so surprised! He's so happy!
Oops! Look what happened! Leo's bag has burst open! Candies,<break time="0.1s"/> sandwiches,<break time="0.1s"/> hamburgers,<break time="0.1s"/> hot dogs,<break time="0.1s"/> cookies,<break time="0.1s"/> an orange,<break time="0.1s"/> and even his yogurt are scattered all over the floor! What a mess! But wait! Officer Sheep has caught someone! See that sneaky wolf with the eye mask? He's the one on the 'WANTED' poster on the wall! Officer Sheep has nabbed him!
Leo found his bag and now he's waving goodbye to Officer Gyuri,<break time="0.1s"/>He's got a big smile on his face! It's so good that everything turned out alright,<break time="0.1s"/>Officer Gyuri is waving back,<break time="0.1s"/> and look closely,<break time="0.1s"/> he's holding an orange! Maybe it's a thank-you gift from Leo for helping him find his bag! Let's wave goodbye to Leo too.What a happy ending!
现在让我们回顾一下这本书中的知识点。<break time="0.1s"/>通过这本书的阅读,<break time="0.1s"/>可以让孩子认识警察的角色和职责,<break time="0.1s"/>并学习where和when的疑问句式。<break time="0.1s"/>学习颜色red,<break time="0.1s"/>yellow,<break time="0.1s"/>blue,<break time="0.1s"/>green,<break time="0.1s"/>pink,<break time="0.1s"/>black,<break time="0.1s"/>white,<break time="0.1s"/>brown和食物candies,<break time="0.1s"/> oranges,<break time="0.1s"/> hot dogs,<break time="0.1s"/> cookies,<break time="0.1s"/> cherries,<break time="0.1s"/> yogurt,<break time="0.1s"/> sandwiches,<break time="0.1s"/> hamburgers这些常见的词汇。<break time="0.1s"/>
需要掌握的句式包括：May I help you?<break time="0.1s"/> I lost my bag.<break time="0.1s"/>Don't worry.<break time="0.1s"/>I'll help you,<break time="0.1s"/>Where did you lose it?<break time="0.1s"/> Who were you with?<break time="0.1s"/> When did you lose it?<break time="0.1s"/> What color is your bag? <break time="0.1s"/>What's in your bag?<break time="0.1s"/>分享一个Ai扣子coze自动化工作流系统实战教程 (30 天后失效，及时转存)
文章主要讲述了作者利用Deno开发了一个API接口，用于调用 Gemini 2.0 的联网搜索功能。 由于现有API聚合工具不支持，作者参考了Jay佬的Huggingface部署方案，并使用Deno和Claude快速构建了一个解决方案，该接口将Gemini的返回结果转换为OpenAI的格式。 目前该接口仅支持/v1/chat/completions端点，并强制使用gemini-2.0-flash-exp模型。
去除背景
剪映教程
私域引流
这是一个基于ESP32和7.5英寸电子墨水屏的低功耗天气显示器项目。它从OpenWeatherMap API获取天气数据，并显示室内温湿度。该项目功耗极低，使用5000mAh电池可运行6个月（30分钟更新一次）。 它支持多种配置选项，包括位置、时间格式、单位、语言等，并能显示小时预报图表。 项目还包含详细的硬件、软件设置指南以及故障排除信息。
提示词如下：
你是专业的词源分析专家。请按照以下结构，对给定单词进行全面而简洁的分析。分析时要特别注意用户提供的混淆点和记忆难点：
---
# **[单词]**
### 📖 基本信息
发音：[音标]
词性：[词性缩写] [中文核心含义]
频率：[🔴极高频/🔵高频/⚪️中频] [使用场景说明]
• 🔴 = 教育部考纲核心词汇前3000
• 🔵 = 教育部考纲核心词汇3000-5000
• ⚪️ = 教育部考纲核心词汇5000-8000
---
### ⚡️ 快速理解
[词根]·[词缀] = [核心含义] + [变化含义]
↓
[最终含义的简单解释]
---
### 🔍 词根价值 [词根 = 基本含义 频率标识]
频率：[🔴派生词100+/🔵派生词50-100/⚪️派生词20-50]
常用家族：
词根 + 词缀组合：
• [词根]·[词缀] ([完整单词])
[构词含义] → [现代含义]
• [词根]·[词缀] ([完整单词])
[构词含义] → [现代含义]
• [词根]·[词缀] ([完整单词])
这个脚本利用 Canvas API 和 LLM 视觉模型来识别图片验证码，并将识别结果自动复制到剪贴板。安装步骤包括：确保浏览器安装了 Tampermonkey 插件，替换脚本中的 OPENAI_API_KEY 和 url，然后安装脚本并刷新网页。右键点击图片，选择 Tampermonkey 子菜单中的“识别验证码”即可使用。注意，某些网站可能存在跨域限制，首次使用需手动允许。代码和说明由 sonnet 编写，无版权问题，欢迎分享如何使用 LLM 的 Token。