Learn how to implement streaming responses from the OpenAI API in your web application for faster perceived performance and improved user experience. Explore web streams, build server-side logic, and integrate OpenAI's capabilities. Follow along as the instructor demonstrates error resolution, reactive state creation, and data stream processing. Gain insights into working with Qwik.js, Node.js, and the Fetch API while building a practical application that showcases real-time AI-powered interactions.
How to Display ChatGPT Output in Your App - Web Development with Open AI
Overview
Syllabus
Welcome & Previous Video Recap
Teletype Prerequisites
Server-Side Logic without Route Actions
Build Out Stream
Intercept Form Submission
Error Explained!
Resolve Error
Add Logic to Readable Stream
Test Logic
Fix Logic Errors
Create Reactive State
Test App
Fix OpenAI Integration
Break Stream Down
Process Each Chunk of Data
Review Code
Test App and Review Console
RegEx Data Stream
Grab String
Test Again
Close String
Handle Payloads
Test App Again
Recap
Conclusion
Taught by
Linode
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