Automate Facebook Q&A with Botpress and Google Sheets

In today's fast-paced digital environment, automating customer support interactions is more crucial than ever. This article explores how you can leverage Botpress and Google Sheets to automate the Q&A process on your Facebook page, ensuring timely and accurate responses to customer queries. This not only enhances customer satisfaction but also frees up valuable time for your support team to focus on more complex issues.

The Core Components

The automation setup consists of several key components working together to deliver seamless customer support on your Facebook page. Let's break down these components:

• Facebook Users: The individuals interacting with your Facebook page through Messenger.

  

• Facebook Messenger: The messaging platform used for communication between users and the page.

• Botpress: The AI agent platform that will handle the Q&A process.

• LLM APIs: Botpress utilizes Large Language Model APIs for natural language understanding and response generation.

• Google Sheets: Used as a Knowledge Base to store questions, answers, and additional information.

  

By integrating these components, you can create a robust system that automates much of the routine customer interaction, leading to improved efficiency and customer satisfaction.

Botpress: The Complete AI Agent Platform

Botpress is an open-source conversational AI platform designed to empower developers in building, deploying, and managing AI chatbots.

The platform is all-in-one, all for building AI Agents powered by the latest LLMs. With its cloud solution, deploying chatbots becomes easy and accessible. The platform offers both a cloud-based solution and an open-source version, providing flexibility based on your specific needs.

Botpress emphasizes community support, live daily office hours, and a large community of builders, making it an excellent choice for both beginners and experienced developers. It's more than just a chatbot platform; it's an AI agent platform ready to help you automate your business.

Google Sheets: Your Knowledge Repository

Google Sheets acts as the centralized repository for all the information your AI agent needs to respond effectively to customer queries. By structuring your data in a Google Sheet, you can easily manage and update the knowledge base without needing to modify the chatbot code. This knowledge base will hold FAQs and product data, for example.

The AI agent will connect with this Google Sheet to Gather the necessary data and formulate accurate and Relevant responses.

Creating a Botpress Account

Before you can begin automating your Facebook page Q&A, you need to create a Botpress account. Here’s how:

1. Go to Botpress.com and sign up using your email or Gmail account.

2. Once registered, you'll access your workspace dashboard where you can create new bots.

   

3. Navigate to the 'Create Bot' section. Enter a name for your bot, such as "Facebook Q&A Bot".

4. Open the bot in the Studio to begin customizing its behavior.

After creating your bot, you'll be able to customize its behavior and integrate it with other tools.

Navigating the Botpress Studio

The Botpress Studio is where you'll design and customize your AI agent's behavior. Here are some key elements of the studio interface:

• Workflow Editor:

  This section allows you to define the flow of your chatbot, adding nodes and cards to create a seamless conversation. It offers visual tools to modify and connect nodes, defining the conversation path.

• Nodes and Cards: Nodes represent different states in the conversation, while cards are actions or messages that the bot performs. For example, nodes can represent greetings, question handling, or task completion, and cards can send text messages, images, or execute code.
• Variables and Schemas: This section helps manage and store user interactions. Variables control the scope and can be accessed using scope controls.

By understanding these elements, you can effectively design and manage your AI agent to handle Facebook page Q&A.

Setting Up Your First Workflow

Workflows are essential for defining how your chatbot interacts with users. Here's how to set up your first workflow in Botpress:

1. Open your bot in the studio and access the workflow editor.

   

2. Remove the default nodes to start with a clean slate.

3. Add an Autonomous Node card, which uses AI to search for and use all workflows and knowledge sources to understand and answer different questions based on user needs.

4. Connect this card to the end to have an agent that understand different questions based on user needs. Now your agent will answer questions without the need to define intent-based workflows.

Creating the service account

You need to create service accounts.

1. Select project then go to google cloud console.[t: 605]
2. In the google cloud console we need to create a project
3. On the left go to select project > new project
4. Fill out a project name then click "Create"
5. Then search for services accounts and click "Enter"
6. click create service account. Add a name.
7. skip optional steps

Adding the details into Botpress

1. Go to installed Integrations tab

   

2. Then Find more on the Hub to then Search "Google sheets" integration

3. After selecting, a modal will show up and you need to input a sheet ID and service account information.

4. Make sure to enable the google sheets api, if you don't enable it you can search from the google API center.

5. To create one you will get 300$ credits.

6. Follow the steps above

Workflow and Setup

1. Go to the Messenger app in meta for developers, you can find this by clicking the board icon and clicking your AI Bot.
2. To use the google sheets database in our current bot you need to give the service account the ability to access the Google Sheet. You should click Share. Type the email that was given in bot press and give access.
3. Connect AI to the messenger, if the Verify token or access token is wrong, you can press "generate"
4. Now your bot will work and take information from the google sheet and show the answer. Be sure to fill out a knowledge_base