Unfortunately, there are no built-in methods for directly managing PDF data using Google Apps Script. Fortunately, after the V8 runtime has been released, several raw Javascript libraries could be used with Google Apps Script. pdf-lib is also one of them. When this is used, PDF data can be cooked over Google Apps Script. In this report, I would like to introduce achieving this using a Google Apps Script library.
Google Apps Script is a powerful tool for automating tasks. It can be used to process data, create spreadsheets, and send emails. One of the limitations of Apps Script is that it does not have built-in support for PDF files. However, there are a number of third-party libraries that can be used to work with PDF files and in Pulse we’ve featured a number of posts from Kanshi Tanaike where they have explored the pdf-lib is a JavaScript library.
This work has culminated in PDFApp, a dedicated Apps Script library created by Kanshi Tanaike based on the pdf-lib, but optimised for Apps Script. The source post includes a number of recipes for handling PDF files listed below:
Imagine you’re managing a Google Group, where important attachments are regularly sent. Manually saving these attachments to your Google Drive can be time-consuming and prone to errors. Is there a way to automate this process and ensure that you don’t miss any crucial documents?
It’s quite easy to tie yourself in knots when it comes to scheduling tasks in Google Apps Script to handle data created since the last run. This Medium post from Pablo Pallocchi shows a nice way your can structure Gmail searches using the after: operator combined with a ‘last execution date’ stored in Apps Script Properties Service. The result is a nice solution design to backup attachments sent to a Google Group to Google Drive. There’s lots of scope for extending and/or modifying this solution. All the details are in the source post.
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 inside of a Google Sheet. We will be passing prompts from a Google Sheet and getting back a response.
Learn how to integrate Google Bard responses inside of Google Sheets using the PaLM API and a little bit of Google Apps Script. Using Google’s MakerSuite it is easy to create an API key which you can use with a custom function in Google Sheets. Whilst the solution focuses on creating a custom function which would automatically refresh, using it programmatically to store responses could be a quick way to collaboratively experimenting with LLM text prompts.
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.
Alright, folks, we’re talking about something quite hot off the press in the realm of Google Apps Script — “Smart Chips.” This feature is available within Google Docs and can build previews of pasted links using the Card Service. Think of it as a little preview window of what lies beyond the link — a sneak peek, if you will. 🕵️♂️
Editor: Smart chips are a recent feature in Google Workspace that help you quickly insert information into your Docs and Sheets. They can be used to insert people, places, dates, and more. It’s also possible for Google Workspace developers to publish their on ‘Preview links’ smart chips as Workspace Add-ons. In this post from Dmitry Kostyuk you can learn about publishing your own smart chips and some creative ways to get the data you need using Google Apps Script.
Google Apps Script can be executed by time-driven triggers. This is one of the very important points for taking cloud computing. But, the scenarios using time-driven triggers are different for each user, and there are a lot of situations for using time-driven triggers. But, when a script for implementing time-driven triggers is developed, each script is different and complicated. In this report, I would like to introduce easily managing time-driven triggers using a Google Apps Script library.
In Google Apps Script time-driven triggers are a powerful way to automate tasks including Google Sheets. However, managing them can be difficult, especially if you have a lot of triggers and need triggers to run at different times and frequencies. The TriggerApp library from Kanshi Tanaike makes this a lot easier and this post includes a number of examples that are easy to copy/modify for your own script projects. The post covers the following scenarios:
Execute 2 functions at specific dates and times
Execute a function with a specific cycle between specific times between specific dates
Execute 3 functions with a specific cycle between specific times on weekdays
Send an email on a birthday every year
Execute specific functions on specific weekdays in a week
Execute 6 different functions every 10 minutes from “09:00:00” to “11:50:00” in order
Opening hours of Google Form from 09:00 to 17:00 on Weekdays
Opening Hours of Google Spreadsheet from 09:00 to 17:00 on Weekdays
Execute specific functions at 09:00 on Monday to Friday at the beginning of specific months
The source code for the library is on GitHub and includes documentation on all the methods it uses.
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.
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.
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!
