This is a sample script for retrieving and putting values for PDF Forms using Google Apps Script.
We’ve featured a couple of posts from Kanshi Tanaike on Pulse with solutions for handling/manipulating PDF Documents with Google Apps Script. This post on retrieving values from PDF Documents is just one in a series of recent contributions from Kanshi looking at how Google Apps Script can be used with PDFs:
Last month, OpenAI announced Function calling, “a new way to more reliably connect GPT’s capabilities with external tools and APIs”. Super useful ❤️ and we decided to integrate that with Google Apps Script.
Following on from yesterday’s Pulse post which highlighted Ben Collins reflections on ‘What can AI do for you as a Google Sheets user? Is the hype justified?’, here is a contribution from another Apps Script expert, Romain Vialard, announcing a ChatGPT library for Google Apps Script.
The source post highlights a number of examples, including the standard ‘prompt’ calling. Where this post gets very interesting is integration with Open AI’s function calling features:
In an API call, you can describe functions to gpt-3.5-turbo-0613 and gpt-4-0613, and have the model intelligently choose to output a JSON object containing arguments to call those functions. The Chat Completions API does not call the function; instead, the model generates JSON that you can use to call the function in your code.
To illustrate this below is a screenshot of a very slightly extended example, which has a Google Sheet with the headings email, name and tip topic. The functions are described to ChatGPT and in the case of sendMessage() the parameters it requires. The ChatGPTApp library handles the functions and in the case of the getContactsList() uses it to pass the Google Sheet data for ChatGPT to format a JSON response to correctly call the sendMessage() function.
I found it took me a while to start understanding what is going on and would recommend experimenting with the library and sample code to get a sense what is possible.
See how AI tools work with Google Sheets to boost your productivity. Covers ChatGPT, Google Bard, and AI add-ons.
A very informative post from Ben Collins, discussing how AI can be used to automate tasks, identify patterns, and make predictions in the context of Google Sheets. Ben provides several examples of how Generative AI can be used to improve the way you can interact with data in spreadsheets from helping with formula to generating and improving data.
As Ben points out in the post users have benefited from AI in Google Sheets for a number of years with features like Explore. Perhaps the biggest recent change is exposing Large Language Models as a service, with users able to directly access the ‘prompt’ to generate output.
Discover the magic of combining Palm API’s extraordinary capabilities with the limitless potential of Google Apps Script. In this blog we will be taking a look at how we use the PaLM API and Google Apps Script. We will be passing basic prompts and getting the appropriate responses using Google Apps Script.
Yesterday’s Pulse contribution from Aryan Irani there was an overview on getting started with Google’s Gen AI PaLM 2 Large Language Model accessed using MakerSuite. In a follow-up post Aryan continues dives deeper into how the PaLM API can be called from Google Apps Script. The post includes instructions and sample code to help you get started. Aryan will be continuing exploring and sharing what can be done with the PaLM API and Google Workspace tools such as Google Sheets, Google Docs and more in future tutorials.
Aryan Irani is a Google Developer Expert for Google Workspace. He is a writer and content creator who has been working in the Google Workspace domain for three years.
At the Google I/O ’23, various announcements were made with respect to different AI and ML advancements Google is making as we speak. While listening to the session, I stumbled on PaLM 2. It was really interesting as to what capabilities it has with respect to generative models and machine learning.
This tutorial series will introduce you to PaLM 2, the API, MakerSuite, and Google Apps Script. We will combine these tools to do something interesting with prompts.
Editor: There are a couple of ways you can access Google’s Gen AI language models. Bard is the consumer version but for developers you might want to start exploring API access to one of the underlying foundation language model, PaLM 2, using Google’s MakerSuite. There is a waitlist for MakerSuite, but worth putting your name down if you are interested in an easy way to programmatically start prototyping applications with the PaLM using a basic API key. This video series from Aryan Irani covers everything you need to get started, particularly if you are interested in using PaLM with Google Apps Script.
If you prefer to get started straight away, you can also access the PaLM API in Vertex AI today from a Google Cloud project (more information about this on the MakerSuite site).
Aryan Irani is a Google Developer Expert for Google Workspace. He is a writer and content creator who has been working in the Google Workspace domain for three years.
Make your team acknowledged when there is a new eventEven though a data scientist can do coding, it doesn’t mean that we have to code all the time. In some use case, I found out that no-code development tools benefits us as it reduces time to develop applications for collecting data or small systems for uncomplex internal uses. I have developed several AppSheet applications which help us automate works, make tasks paperless and trackable by records.
We’ve featured a couple of examples of integrating with Slack using Apps Script. Here’s a variation using AppSheet to do some of the heavy lifting with the data automation. To push data to Slack the solution uses AppSheet’s Apps Script integration. I’ve not tested but I’m sure you could skip the Apps Script integration and use AppSheets webhooks feature.
A Chat space membership authorization workflow built using Google Forms, Sheets and Apps Script. … In the coming sections, we’ll build a workflow for process managers to review and authorize membership requests sent by users willing to join a predefined set of chat spaces.
Lots of talk about Meta’s new Threads … is there an API for that. Meanwhile Pablo Felip has been busy putting together this very comprehensive tutorial which explains how you can use Google Forms as part of a process to administer Google Chat Spaces membership.
The API call spaces.members.create is relatively straightforward when compared to the amount of effort to setup the Google Cloud project. This is all covered in the source post and the code provided can easily be modified to suit other worksflows.
Learn how to automatically transcribe audio and video files in Gmail messages with the help of OpenAI speech recognition API and Google Apps Script
Amit Agarwal highlights a no-code solution for transcribing audio in Gmail attachments available in his ‘Save Gmail to Google Drive’ Google Sheets Add-on. As part of this he shares the code and tips for transcribing audio files using OpenAI’s Whisper API. When you look at the snippet provided you’ll see once the audio file is in Google Drive it is very easy to use the Whisper API to get a transcript.
Text-to-speech services aren’t new, but approaches and larger training datasets are improving accuracy and if you prefer to work in the Google ecosystem you can find out more about Cloud Speech-to-Text.
Who takes the notes ? Simple question we always ask at the begining of the meeting, maybe it will be over in a near future with Generative AI. Using Meet recording, included in the Google Workspace licences, we can generate the transcript of the meeting with Google Speech to Text API and then generate the minutes.
Lots of chatter around ‘Gen AI’, but cutting through the hype and, in particular, the Platform-As-A-Service opportunities created with generally available Large Language Models (LLM) opens lots of new doors for Workspace Developers.
This example from fellow Google Developer Expert, Stéphane Giron, is an area I think has the most potential, using LLMs in Google Workspace Add-ons such as Gmail, Docs, Calendar etc. With Google’s Vertex AI LLMs there is really opportunity to create powerful solutions whilst preserving data sovereignty. Exciting times!
Mastering Google Apps Script: Deploy Once, Run Everywhere 🚀
What’s The Issue? 🤔
Building add-ons with Google Apps Script is akin to owning a magic wand for distributing your application. And if you’re like me, you’ve probably created an army of internal add-ons for clients and personal use, especially those sweet editor add-ons. But here’s the catch: every time you deploy your add-on, you need to specify the script ID and the deployment version for each context (Docs, Sheets, Slides, and Forms). Keeping up with 4 different files isn’t just tedious; it’s like trying to juggle flaming swords while on a unicycle 🙃. But don’t worry, there’s a better way!
