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The article is the final installment in a series about streaming OpenAI chat completions in Elixir’s Phoenix framework. It covers using Phoenix LiveView to stream completions to users, including setting up the LiveView, handling user inputs, submitting messages to OpenAI, and rendering responses. It concludes with enhancements for the user interface, including message styling and keyboard shortcuts for message submission.
Main Points- Series Finale on Streaming OpenAI with Elixir PhoenixThe article describes the final part of a series on streaming OpenAI chat completions using Elixir's Phoenix framework.
- Utilizing Phoenix LiveView for StreamingFocuses on using Phoenix LiveView for streaming chat completions to the client, bypassing the need for storing data or user authentication.
- Implementing Real-time Chat CompletionsDemonstrates the process of setting up a simple form UI, managing state, and handling real-time communication with OpenAI for chat completions.
- Enhancing UX with Styles and Keyboard ShortcutsImproves user experience with styled message lists, and keyboard shortcuts for submitting messages.
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