description

a wechat bot for conversation with openai gpt-3.5

requirements

install windows wechat 3.6.18.0.
login windows wechat.
download wechat-bot from here.
double click wechat-bot-5.1.8.00\wechat-bot-5.1.8.00\server\funtool_3.6.0.18-1.0.0013非注入版.exe to run wechat-bot server.

build(optional when using docker or kubernetes)

using docker to build cri image

docker build -t shoppon/pychatgpt .

configuration

the template of configuration file is etc/pychatgpt.conf.

key	group	description	default
url	hook	hook url	ws://127.0.0.1:5555
prefix	wechat	prefix for wechat message	#ai
api_key	openai	openai api key
timeout	openai	openai api timeout	60
http_proxy	tls_client	http proxy for tls client	http://127.0.0.1:7890

run

kubernetes

deploy hook on kubernetes cluster

kubectl create ns pychatgpt
kubectl apply -f deploy/configmap-bin.yaml
kubectl apply -f deploy/configmap-etc.yaml
kubectl apply -f deploy/deployment-hook.yaml

docker

TBD

vscode

copy pychatgpt.conf to /etc/pychatgpt/pychatgpt.conf.
fill in hook.url and openai.api_key in /etc/pychatgpt/pychatgpt.conf.
open running/debug pannel.
click wechat hook to run.

command line

install python 3.8 or later.
run pip install -r requirements.txt to install dependencies.
run python setup.py install to install pychatgpt.
run pychatgpt-hook --config-file /etc/pychatgpt/pychatgpt.conf to start.

systemd

copy bin/pychatgpt-hook.service to /etc/systemd/system/pychatgpt-hook.service.
run systemctl daemon-reload to reload systemd.
run systemctl enable pychatgpt-hook to enable pychatgpt-hook.
run systemctl start pychatgpt-hook to start pychatgpt-hook.

usage

pychatgpt use group or contacts as the conversation unit.

clear conversation

input #ai clear to clear a conversation context.

stop conversation

input #ai stop to disable a conversation.

start conversation

input #ai start to enable a conversation.

shoppon / pychatgpt