How to Develop a ChatGPT WeChat Mini Program: A Step-by-Step Guide

This article provides a comprehensive guide on developing a ChatGPT-powered WeChat mini program. The author, a Tencent Cloud developer community contributor, walks through the entire development process from preparation to deployment.

Preparation Work: The guide covers essential prerequisites including applying for a WeChat mini program account (typically approved within 3 hours), obtaining an OpenAI account and API key (since OpenAI services are not available in China), and setting up the development environment.

Development Environment: The article explains the mini program structure using WXML, WXSS, and JavaScript, comparing it to traditional web development. It details the file organization including app.js, app.json, app.wxss for global logic and multiple page directories for individual pages.

Development Process: Key steps include integrating WeUI components via useExtendedLib method, configuring custom tabbar in app.json, designing the main interface with input fields and buttons, and binding click events. The guide provides specific code examples for form submission and API requests.

Server Interface: The article demonstrates setting up a server using Node.js with Egg framework, creating an /ask endpoint that communicates with OpenAI's API using the obtained token. It includes code snippets for handling requests and processing responses.

Tencent API Gateway Integration: For production deployment, the guide covers using Tencent Cloud API Gateway for better concurrency, rate limiting, and auto-scaling capabilities. It explains how to configure HTTPS endpoints and map them to the backend server.

Deployment: The final section covers uploading code via WeChat Developer Tools, configuring domain whitelists, submitting for review (1-7 business days), and publishing the mini program for public access.

The article concludes with additional resources and learning materials for developers interested in AI and mini program development.