Build Your Own Counseling Chatbot on LINE to Support Mental Health Conversations

Published 14 days ago

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Template description

Are you looking to create a counseling chatbot that provides emotional support and mental health guidance through the LINE messaging platform ? This guide will walk you through connecting LINE with powerful AI language models like GPT-4 to build a chatbot that supports users in navigating their emotions, offering 24/7 conversational therapy and accessible mental health resources .

By leveraging LINE's webhook integration and Azure OpenAI , this template allows you to design a chatbot that is both empathetic and efficient, ensuring users receive timely and professional responses. Whether you're a developer, counselor, or business owner, this guide will help you create a customizable counseling chatbot tailored to your audience's needs.

Who Is This Template For?

Developers who want to integrate AI-powered chatbots into the LINE platform for mental health applications.
Counselors & Therapists looking to expand their reach and provide automated emotional support to clients outside of traditional sessions.
Businesses & Organizations focused on improving mental health accessibility and offering innovative solutions to their users.
Educators & Nonprofits seeking tools to provide free or low-cost counseling services to underserved communities.

How this work?

Line Webhook to receive new message
Send loading animation in Line
Check if the input is text or not
Send the text as prompt in chat model (GPT 4o)
Reply the message to user (you'll need 'edit field' to format it before reply)

Pre-Requisites

You have access to the LINE Developers Console.
An Azure OpenAI account with necessary credentials.

Set-up

To receive messages from LINE, configure your webhook:

Set up a webhook in LINE Developer Console.
Copy the Webhook URL from the Line Chatbot node and paste it into the LINE Console.
Ensure to remove any 'test' part when moving to production.

The loading animation reassures users that the system is processing their request.

Authorize using header authorization

Message Handling

Use the Check Message Type IsText? node to verify if the incoming message is text.
If the message type is text, proceed with ChatGPT processing; otherwise, send a reply indicating non-text inputs are not supported.

AI Agent Configuration

Define the system message within the AI Agent node to guide the conversation based on desired interaction principles.
Connect the Azure OpenAI Chat Model to the AI Agent.

Formatting Responses

Ensure responses are properly formatted before sending them back to the user.

Reply Message

Use the ReplyMessage - Line node to send the formatted response.
Ensure proper header authorization using Bearer tokens.

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