How OpenAi and AppSheet built the Foundation AppSheet App

Table of Contents

1. Introduction
2. Creating a Continued Conversation System
3. Setting Up Google Drive and Google Sheets
4. Creating the Core Structure
5. Building the Threads Table
6. Building the Messages Table
7. Integrating AppSheet
8. Formatting the Chat History
9. Adding the Reformatting Column
10. Creating the Thread History
11. Conclusion

How to Create a Continued Conversation System Using Open AI and App Sheet

Welcome to the first part of my series on how to Create a continued conversation system using Open AI and App Sheet. In this article, I will guide You through the process of creating the foundation for this system using Google Drive, Google Sheets, and App Sheet.

Introduction

In order to understand the concept of a continued conversation system, it is essential to grasp the complexity of creating a clear summary of ongoing interactions. When developing such a system, it becomes challenging to maintain an organized structure due to numerous Prompts, line breaks, and potential confusion. The goal is to create a system that can intelligently comprehend the Context history within API endpoints.

Creating a Continued Conversation System

To create a continued conversation system, we will utilize Open AI and App Sheet. In this series, we will cover various aspects, including setting up Google Drive and Google Sheets, building the core structure, integrating App Sheet, and formatting the chat history.

Setting Up Google Drive and Google Sheets

The first step in building our continued conversation system is setting up Google Drive and creating a new Google Sheet. This sheet will serve as the foundation for storing all the data required for our conversations.

Creating the Core Structure

To keep things simple, we will begin by creating two sheets within our Google Sheet. The first sheet will be dedicated to storing the thread data, while the Second sheet will store the messages. The thread sheet will include fields for the start date, a label, and an ID. The messages sheet will have fields for the thread link, message prompt, message response, and more.

Building the Threads Table

Using App Sheet, we can easily transform our Google Sheet into a functional app. We will create an app named "Chat GPT in App Sheet" and configure the threads table. We also need to ensure that all the fields are correctly mapped and Hidden as required.

Building the Messages Table

Next, we will add the messages table to our app. This table will have a reference to the thread it belongs to, as well as columns for the message prompt, message response, and other details. Additionally, we will set up a unique ID for each message and a number field for easy referencing.

Integrating AppSheet

App Sheet provides an intuitive interface for creating apps. We will utilize its extensions to manage our continued conversation system. By seamlessly integrating Google Drive, Google Sheets, and App Sheet, we will have a robust platform for handling our data.

Formatting the Chat History

To maintain an ongoing conversation context, we need to format the chat history. This involves creating a reformatting column in the messages table to concatenate and organize the prompts and responses. Proper formatting ensures that the system accurately identifies interaction sequences, allowing for a smooth flow of conversation.

Adding the Reformatting Column

Within the messages table, we will add a reformatting column. This column will use a formula to concatenate the prompts and responses in a structured format, with appropriate line breaks and separators. The reformatting column will be crucial for creating a comprehensive chat history that the system can comprehend.

Creating the Thread History

To achieve an ongoing context within the conversation system, we will create a virtual column named "Thread History" in the threads table. This column will retrieve all related messages and organize them in chronological order. By referencing the reformatting column in the messages table, we can generate a coherent thread history that captures the entire conversation.

Conclusion

In this first part of the series, we have established the foundation for creating a continued conversation system using Open AI and App Sheet. We have set up Google Drive and Google Sheets, designed the core structure, integrated App Sheet, and formatted the chat history. In the next article, we will Delve into using Chat GPT to generate the script required for leveraging Open AI in our app. Stay tuned for more exciting developments!

Highlights

• Learn how to create a continued conversation system using Open AI and App Sheet
• Set up Google Drive and Google Sheets to store the conversation data
• Build the core structure with separate sheets for threads and messages
• Integrate App Sheet to transform the sheets into a functional app
• Format the chat history for seamless conversation flow
• Create a reformatting column to concatenate prompts and responses
• Generate a comprehensive thread history for ongoing conversation context

FAQ

Q: What is a continued conversation system? A: A continued conversation system is a platform that enables ongoing interactions between users and AI programs, allowing for contextual understanding and seamless communication.

Q: Why is formatting the chat history important? A: Formatting the chat history is essential to maintain an organized structure and provide clear context for the ongoing conversation. It helps the system understand the sequence and flow of interactions.

Q: Can I use the provided app for my own project? A: Absolutely! The app created in this series serves as a foundation for your continued conversation system. You can copy the app using the link provided and customize it to suit your specific needs.

Q: Are there any limitations to the continued conversation system? A: The limitations of the system may depend on the capabilities of the underlying AI model, the complexity of the conversation topics, and the quality of the training data. It is important to continuously refine and update the system for optimal performance.