How to implement AI typesetting in Word?

The effect to be achieved is: users upload files, AI typeset, and download files. So the core is the back-end large model LLM typesetting Word part.

The code above shows how to use python-docx to read a Word document and chunk the existing paragraphs of the document to speed up execution and possibly provide context for the execution.

Now that we have read the content of the Word document and chunked it into ten chunks, we should now hand it over to the big model.

The main function of this part is to let AI judge each paragraph of text and decide which rule should be used to format the current paragraph. The process can be broken down again:

The above is an example definition. Of course, the rules that are actually used in the production environment will definitely be more detailed.

The second is to write prompts to require the big model to perform our functions. However, according to the process we mentioned at the beginning, the big model should not only help me choose what rules, but also use the tools under this rule to operate the Word document. So we first write tools (code) for the rules here, and then write the correspondence between these rules and tools.

Leave a Comment