Code Issues Pull requests Discussions Memory for AI Agents; SOTA in AI Agent Memory; Announcing OpenMemory MCP - local and secure memory management. python agent application state-management ai memory embeddings chatbots memory-management long-term-memory rag vector-database llm chatgpt aiagent Up...
Python Wechaty Developing Plan We already have Wechaty in TypeScript, It will be not too hard to translate the TypeScript(TS) to Python(PY) becausewechatyhas only 3,000 lines of the TS code, they are well designed and de-coupled by thewechaty-puppetabstraction. So after we have tra...
Wechaty 是一个开源聊天机器人框架 SDK,具有多平台、多语言和多插件的特性,支持 Python, Go, Java, Scala, .NET, PHP, Rust 等多语言版本,通过几行代码即可创建一个聊天机器人。经过 5 年多的发展,现在 Wechaty 开源社区已拥有数十位 Committers,百余位 Contributors,
Not all professors in the field think AI should be used. But Zingaro and Porter said that reading a lot of code created by artificial intelligence does not feel like cheating. Rather, it is a way for students to learn. "I think a lot of programmers read a lot of code, just like how...
使用Python编写了ChatBot,在部署到App Service,却无法启动。 通过高级工具(Kudu站点:https://<your site name>.scm.chinacloudsites.cn/newui)查看日志显示:Failed to find attribute 'app' in 'app'. 2024-10-25T02:43:29.242073529Z ___2024-10-25T02:43:29.242126029Z/_ \ ___ ___ ___2024-10-25...
The Internet is full of articles about building chatbots on Telegram. However, in this article, we will learn how to code chatbot in Python.
Considering the AIML code in Fig. 4, a possible conversation between a user and a chatbot could be the following (Fig. 5): Download: Download full-size image Fig. 4. Example of AIML code. It is worth mentioning that AIML, and other pattern-matching languages, sometimes are used together...
First, go to the Deepgram homepage and sign up or log in using your Gmail or by creating a free account. You'll receive $200 worth of credits. Next, navigate to the documentation and the getting started guide under the text-to-speech section. You'll find a sample Python code snippet ...
This process allows developers to precisely manage input sizes, optimize cost by reducing unnecessary token usage, and improve model performance by ensuring that the text is segmented in a way that retains contextual meaning. Moreover, incorporating tokenization directly into client-side code can ...
Because you want to treatcleaneras a module and run the cleaning code inbot.py, it’s best to now refactor the code in the name-main idiom into a main function that you can then import and call inbot.py: Python 1# cleaner.py23importre45defclean_corpus(chat_export_file):6message_cor...