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Hi @gsleite.
Deep Chat uses remarkable to generate its content from text to markdown.
To replace the library that is used to parse the text content, you will have to fork/clone the project, run it locally (which is very easy to do if you use the following instructions) and change the code here.
You can also use the responseInterceptor to parse the response text into html markup. This can be done by reading the response text, processing it into html using the LaTeX library (I am not quite sure if this can be achieved) and returning html e.g. {html: response}. Similarly, you can also do this using the handler function.
Hi,
Many LLMs/FMs provides content generation regarding math/technical models by using LaTeX.
There is a translator under MIT: https://latex.js.org/
I'm not sure how can I integrate this library on Deep-Chat, any tips?
Thanks!
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