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Author and maintainer: https://github.com/katursis
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#python #ai #chatglm_4 #chatgpt #claude3 #dingtalk #feishu_bot #gemini #glm #gpt_4 #kimi #linkai #llm #openai #python3 #qwen #rag #wechat #wechat_bot #wenxinyiyan #xunfei_spark

This project, called "chatgpt-on-wechat" (CoW), is an intelligent chatbot based on large language models that can be integrated with various platforms like WeChat public accounts, enterprise WeChat apps, Feishu, and DingTalk. It supports multiple models such as GPT-3.5, GPT-4, Claude, Gemini, and more. The bot can handle text, voice, and image inputs and access external resources through plugins.

### Key Benefits Supports deployment on multiple platforms including WeChat public accounts, enterprise WeChat apps, Feishu, and DingTalk.
- **Advanced Conversations** Recognizes voice messages and generates images using various models.
- **Customizable Plugins** Enables custom AI applications using uploaded knowledge base files.

### How It Helps You:
This project helps you create a highly customizable AI chatbot that can be integrated into your existing communication platforms. It enhances customer service, personal assistance, and team efficiency by providing intelligent responses to text, voice, and image queries. The ability to customize knowledge bases and plugins makes it versatile for different business needs.

https://github.com/zhayujie/chatgpt-on-wechat
#python #audio #docker_image #dsp #equalizer #filter #limiter #mastering #matchering #matching #music #numpy #python #python_library #python3 #scipy #sound #spectrum #vst

Matchering 2.0 is a tool that helps make your music sound like your favorite songs. Here’s how it works: you give it two audio files - one you want to master (your song) and another you want it to sound like (a reference song). Matchering then adjusts your song to match the volume, frequency response, peak amplitude, and stereo width of the reference song. This means you can quickly make your music sound professional and consistent, just like popular tracks. You can use it without installation through online services or install it on your computer for more control. It's especially useful for music producers and audio engineers who want to enhance their tracks easily.

https://github.com/sergree/matchering
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#python #contribution_graph #contributions #generate #generator #git #github #github_app #gitlab #python #python_script #python2 #python3

This tool helps you create a full GitHub Contributions Graph quickly. Here’s how it works: you create an empty GitHub repository, download a script, and run it to generate commits for the last year. This makes your GitHub profile look more active, even if others judge you based on your graph. The script is easy to use and customize, allowing you to control how many commits are made each day. It also supports making the repository private so others can't see the details. You need Python and Git installed to use it. If there are issues, it might take a few minutes for GitHub to update, or you may need to adjust your email settings in Git.

https://github.com/Shpota/github-activity-generator