Build a Powerful AI‑Powered WeChat Bot with Python 3.11 – Features, Setup, and Demo
Discover a Python 3.11‑based WeChat bot that leverages ChatGPT for intelligent replies, AI‑generated images, context memory, and a suite of automation features such as friend management, video downloads, and automated Moments posting, complete with system requirements, installation steps, and visual demos.
Project Overview
WeChat Bot is a Python 3.11 project that uses WeChat native API and integrates AI to help users perform various tasks, such as emotionally intelligent replies, avatar creation, AI drawing, weather queries, and auto‑posting images to Moments.
Key Features ✨
Chat‑to‑image: combines ChatGPT’s advanced chat and drawing capabilities for rich interaction.
Context memory: automatically remembers conversation context and forgets after 10 minutes of inactivity.
Conversation history limit: retains up to 10 recent messages for continuity.
Auto‑add friends and group creation.
Video channel video download.
Automatic Moments posting and liking.
Live‑room automatic bullet‑screen comments.
Video channel auto‑reply and other utilities.
WeChat anti‑revoke (message recall callback).
System Requirements 💻
Windows OS or Windows cloud server.
Python 3.11.
Installation
Launch Program
Open cmd, navigate to wechatSDK directory, run python -m venv venv and activate the virtual environment with venv/Scripts/activate.
Run pip install -r requirements.txt to install dependencies.
Copy env_wechat_back.json, rename to env_wechat.json, and edit the file (remove Chinese before the “|” and follow the format of env_wechat_example.json).
Run python app.py to start the program.
Dependencies 📦
The project depends on wechatAPI; ensure all required packages are installed.
FAQ
How to fill JSON values? Use Postman to call the API and fill the outermost wxid, then after the program starts, wait for message callbacks to populate other fields.
How does it work with ChatGPT without official GPTs API? Some providers offer cracked OpenAI services that expose GPTs‑like APIs at lower cost; the project uses such a middle‑man service.
Demo Images 🖼️
Project Link
Backend repository and further documentation are available at the project’s official page.
Software Development Quality
Discussions on software development quality, R&D efficiency, high availability, technical quality, quality systems, assurance, architecture design, tool platforms, test development, continuous delivery, continuous testing, etc. Contact me with any article questions.
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