支持AI总结的社交媒体聚合解析器

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  • License: MIT
  • Requires: Python >=3.12.0
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Project description

ParseHub

支持AI总结的社交媒体聚合解析器
Social Media Aggregation Analyzer Supported by AI Summarization

视频总结使用 whisper-1 模型

基于该项目开发的 Tg Bot:
@ParsehuBot | https://github.com/z-mio/parse_hub_bot

支持的平台:
Twitter 视频|图文
Instagram 视频|图文
微博 视频|图文
贴吧 视频|图文
小红书 视频|图文
Youtube 视频|音乐
Facebook 视频
Bilibili 视频|动态
抖音|TikTok 视频|图文
微信公众号 图文
最右 视频|图文
酷安 视频|图文
皮皮虾 视频|图文
快手 视频
......

安装

pip install parsehub

[!IMPORTANT]

注意

Linux用户在导入skia-python包时可能会遇到以下报错

libGL.so.1: cannot open shared object file: No such file or directory

Windows用户在缺少Microsoft Visual C++ Runtime时可能会遇到以下报错

ImportError: DLL load failed while importing skia: The specified module could not be found.

解决方法

ubuntu用户

# Ubuntu 22 安装
apt install libgl1-mesa-glx
# Ubuntu 24 安装
apt install libgl1 libglx-mesa0

ArchLinux用户

pacman -S libgl

centos用户

yum install mesa-libGL -y

Windows用户

下载链接Microsoft Visual C++ 2015 Redistributable Update 3 RC

使用

from parsehub import ParseHub
from parsehub.config import ParseConfig, DownloadConfig
import asyncio


async def main():
    ph = ParseHub(config=ParseConfig())
    result = await ph.parse('https://twitter.com/aobuta_anime/status/1827284717848424696')
    print(result)
    sr = await result.summary(download_config=DownloadConfig())
    print(sr.content)


if __name__ == '__main__':
    asyncio.run(main())

环境变量

名称 描述 默认值
PROVIDER 模型提供商, 支持: openai openai
API_KEY API Key
BASE_URL API 端点 https://api.openai.com/v1
MODEL AI总结使用的模型 gpt-4o-mini
PROMPT AI总结提示词 Use "Simplified Chinese" to summarize the key points of articles and video subtitles. Summarize it in one sentence at the beginning and then write out n key points.
TRANSCRIPTIONS_PROVIDER 语音转文本模型提供商 支持: openai,azure,fast_whisper
TRANSCRIPTIONS_BASE_URL 语音转文本 API端点
TRANSCRIPTIONS_API_KEY 语音转文本 API密钥

关于登录

  • 为什么需要登录?
    • 部分平台的帖子有限制，需要登录才能查看。

通过 Cookie 登录:

from parsehub.config import ParseConfig

pc = ParseConfig(cookie="从浏览器中获取的cookie")

目前支持的平台:

  • twitter
  • instagram
  • kuaishou

参考项目

Project details

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  • License: MIT
  • Requires: Python >=3.12.0

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