WhatsApp Reply Bot — Desktop Prototype

Python desktop automation prototype that reads WhatsApp Web chats and generates replies through OpenAI.

Project focus

Learning / reference collection. Use the directory map to choose a focused example or learning topic instead of treating the repository as one application.

Workflow

flowchart TD
    A["Selected desktop chat"] --> B["Parse command or transcript"]
    B --> C{"Supported input?"}
    C -->|Yes| D["Configured action / AI client"]
    C -->|No| E["Review input and configuration"]
    D --> F["User-visible response"]
    E --> B

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The diagram describes how to work through the material; it is not a deployed service topology.

Repository structure

Path	Purpose
01_getcursor.py	Topic-organized learning material and examples.
02_openai.py	Topic-organized learning material and examples.
03_Bot.py	Topic-organized learning material and examples.
chat_utils.py	Python application helper or learning example.
requirements.txt	Python dependency manifest.
tests/	Automated checks and regression cases.

Getting started

git clone https://github.com/Raimal-Raja/AutoReply-Whatsapp-Bot.git
cd AutoReply-Whatsapp-Bot

python -m venv .venv
source .venv/bin/activate

On Windows PowerShell, activate the environment with .venv\Scripts\Activate.ps1 instead.

python -m pip install -r requirements.txt

python 03_Bot.py

Verification

python -m unittest discover -s tests -v

Install the selected project dependencies and optional test prerequisites first. Some integration checks require model artifacts, databases, or external services.

Contributing

Include reproduction steps, the affected path, expected behavior, and the checks you ran. Keep credentials, generated environments, and unnecessary build artifacts out of commits.

License

No top-level license file is currently tracked. Check reuse permissions with the repository owner.