A dynamic biography generator that allows users to personalize their profiles by highlighting their unique skills and incorporate their preferred writing style.
Development: Next.JS with React.js, Node.JS and Typescript
Deployed with: Vercel
Tools used: OpenAI's GPT-3, RegEx, Next.JS Edge functions with ReadableStreams
A dynamic prompt is sent to the GPT-3 API based off the user's input and displayed through a readable stream. Next.JS allows for more effective SEO and also implements static generation to reduce page load. Using Edge functions also improves the user experience by reflecting parts of the output even before it finishes loading.
If users fail to fill in the required fields or enter invalid values, the program will reflect it on the front end through an error modal and also highlight the fields where the user did not do what was expected.
Once users are satisfied with their inputs, the prompt will be sent to the GPT-3 API and data will be passed through a readable stream to be displayed letter by letter so that users would not have to wait for the entire answer to be loaded before it is shown. This greatly boosts the user experience as users wont be tempted to bounce off the page due to the fast answer generation.
