ok so we are using n8n and have build chat bot call alpha copilot using it, and we a markdown library, but when the response starts rendering it first shows markdown response and after that parsing works, can you simulate a workign example where such behaviours is handled correctly and user only see parsed data not markdown
I'll create a solution that prevents users from seeing raw markdown during rendering in your Alpha Copilot chatbot. This is a common issue when working with markdown in chat interfaces.
Let's build a chat interface that properly handles markdown rendering:
The implementation above solves your issue with raw markdown being visible before parsing in several ways:
To implement this in your n8n workflow:
Install the react-markdown
package in your frontend application:
npm install react-markdown
When receiving responses from n8n:
This approach ensures users never see the raw markdown syntax during the rendering process, creating a seamless experience in your Alpha Copilot chat interface.
it should show the reply in typing format as chatgpt rather than showing all data in one go
I'll update the solution to include a typing effect that simulates the bot typing out responses character by character, similar to ChatGPT:
I've updated the solution to include a ChatGPT-like typing effect where the bot's responses appear character by character. Here's how it works:
Separate Content Storage:
content
: Stores the complete markdown contentdisplayContent
: Stores what's currently visible to the userfullContent
: Stores the complete content for the typing animationisTyping
: Tracks if the message is still being typedTyping Animation Logic:
isTyping: true
displayContent
typingSpeed
variable (characters per iteration)Markdown Rendering During Typing:
displayContent
in real-timeTo implement this in your n8n workflow:
When receiving responses from n8n:
For streaming responses from n8n:
This approach creates a more engaging, human-like experience while ensuring users never see raw markdown syntax during the rendering process.
looks good but our interface is like this