how to use llms in google sheets
IN SUMMARY
You can use large language models (LLMs) like GPT-3 and Gemini in Google Sheets by leveraging the Apps Script feature. This allows you to create custom functions that interact with the LLM APIs and generate text outputs directly in your spreadsheet cells.
Setting Up the Environment
Open Google Sheets and create a new spreadsheet file where you want to use the LLM integration.
In the Google Sheets menu, go to 'Tools' > 'Script editor' to open the Apps Script editor. This is where you'll write the code to interact with the LLM APIs.
Sign up for an account with the LLM provider you want to use (e.g., OpenAI for GPT-3, Anthropic for Gemini) and obtain an API key. This key will be used in your Apps Script code to authenticate your requests.
Writing the Apps Script Code
In the Apps Script editor, create a new function that will handle the LLM API call. This function will take the prompt or input text as a parameter and return the generated text from the LLM.
Within the function, construct the API request URL and payload according to the LLM provider's documentation. This typically involves formatting the input text and any additional parameters (e.g., model name, temperature, max tokens) into a JSON object.
Use the UrlFetchApp service in Apps Script to send the API request to the LLM provider. Parse the response data, which will be in JSON format, and extract the generated text.
Using the Custom Function in Google Sheets
In a cell in your Google Sheet, enter the custom function you defined in Apps Script, passing in the prompt or input text as an argument. For example, '=myLLMFunction("Write a short poem about nature")'.
The cell will display the text generated by the LLM based on the provided prompt. You can format the cell or use the generated text in other formulas or calculations as needed.
For a more user-friendly experience, you can create a web app or add-on using Apps Script that provides a graphical interface for entering prompts and viewing the LLM-generated text.