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Source channel @githubtrending · Post #15155 · Sep 20
#typescript#ai#ai_chatbot#angular#chat#chatbot#chatgpt#cohere#component#files#huggingface#image#nextjs#openai#react#react_chatbot#solid#speech#svelte#vue Deep Chat is an easy-to-add AI chat tool for your website that connects with popular AI services like ChatGPT and HuggingFace or your own custom APIs using just one line of code. It supports text, voice input, speech-to-text, text-to-speech, file sharing, webcam photos, and audio recording, making conversations more interactive. You can customize everything from avatars to message styles and run small AI models directly in the browser without servers. It works with major web frameworks and offers features like local message storage and focus mode for a modern chat experience. This helps you quickly add a powerful, flexible AI chatbot that fits your needs and improves user engagement. https://github.com/OvidijusParsiunas/deep-chat
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@djangoproject · Post #98 · 07/11/2016, 12:22 PM
https://docs.python.org/3/library/asyncio.html #asyncio #Asynchronous programming is more complex than classical “#sequential” programming: see the Develop with asyncio page which lists common traps and explains how to avoid them. Enable the debug mode during development to detect common issues.
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@djangoproject · Post #153 · 09/03/2016, 08:20 PM
http://wla.berkeley.edu/~cs61a/fa11/lectures/streams.html In this chapter, we continue our discussion of real-world applications by developing new tools to process #sequential#data. In Chapter 2, we introduced a sequence interface, implemented in Python by built-in data types such as #tuple and #list. #Sequences supported two operations: querying their length and accessing an element by index. In Chapter 3, we developed a user-defined implementations of the sequence interface, the Rlist class for representing recursive lists. These sequence types proved effective for representing and accessing a wide variety of sequential #datasets.