Have large spreadsheet data that you wish to filter or extract specific data? Don’t build a fragile program with hard-coded headers, ask AI instead.
You’re probably thinking, “Yeah I know I can upload my spreadsheet to GPT and ask it to extract data”. However, if you have a spreadsheet that contains employee information like SSNs, addresses, salary, etc, you won’t want to expose all that data to the model you are using. To keep your data secure, you can pass just the column headers and ask the agent to return which columns it thinks are relevant for your use case.
Even if you don’t care about the security of your data, this technique is useful if the columns in your spreadsheet may not exactly match your intent. For example, if your spreadsheet contains “city”, “state”, “country”, “zip code”, it is much easier to say “extract location information” in just a few lines with a Griptape Agent instead of parsing the file line-by-line and specifying specific columns (we’ve all updated that python code over-and-over every time the columns change.)
Take a look at the Griptape CSV Filter Sample for an example of how to accomplish this with Griptape. This code can run locally or you can click-to-deploy to try it out in Griptape Cloud.