微信聊天机器人puppet_paimon token、puppet_padlocal token
os.environ[‘WECHATY_PUPPET’] = “wechaty-puppet-service”os.environ[‘WECHATY_PUPPET_SERVICE_TOKEN’] = “puppet_paimon_f3dabb5216d8826c681de77f85f18c07”这个token配置好后可以本地直接运行os.environ[‘WECHATY_PUPPET’] = “w
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os.environ[‘WECHATY_PUPPET’] = “wechaty-puppet-service”
os.environ[‘WECHATY_PUPPET_SERVICE_TOKEN’] = “puppet_paimon_f3dabb5216d8826c681de77f85f18c07”
这个token配置好后可以本地直接运行
os.environ[‘WECHATY_PUPPET’] = “wechaty-puppet-service”
os.environ[‘WECHATY_PUPPET_SERVICE_TOKEN’] = “puppet_padlocal_xx”
这个token配置好后,需要在云端进行docker部署后,本地才能运行成功
申请百度云或者阿里云、腾讯云、华为云的免费服务器一步一步执行以下命令,部署成功后,ctrl+p+q 退出容器但不关闭
$ apt update
$ apt install docker.io
$ docker pull wechaty/wechaty:latest
$ export WECHATY_LOG="verbose"
$ export WECHATY_PUPPET="wechaty-puppet-wechat"
$ export WECHATY_PUPPET_SERVER_PORT="8080"
$ export WECHATY_TOKEN="puppet_padlocal_xx" # 这里输入你自己的token
$ docker run -ti --name wechaty_puppet_service_token_gateway --rm -e WECHATY_LOG -e WECHATY_PUPPET -e WECHATY_TOKEN -e WECHATY_PUPPET_SERVER_PORT -p "$WECHATY_PUPPET_SERVER_PORT:$WECHATY_PUPPET_SERVER_PORT" wechaty/wechaty:latest
# -*- coding: utf-8 -*-
import os
import asyncio
from wechaty import (
Contact,
FileBox,
Message,
Wechaty,
ScanStatus,
)
from wechaty_puppet import MessageType
from collections import deque
# Initialize a PaddleHub plato-mini model
import paddlehub as hub
# 之前自己申请账号OK版本
os.environ['WECHATY_PUPPET'] = "wechaty-puppet-service"
# 这里填Wechaty token
os.environ['WECHATY_PUPPET_SERVICE_TOKEN'] = "puppet_paimon_f3dabb5216d8826c681de77f85f18c07"
model = hub.Module(name='plato-mini', version='1.0.0')
model._interactive_mode = True
model.max_turn = 10
model.context = deque(maxlen=model.max_turn)
async def on_message(msg: Message):
"""
Message Handler for the Bot
"""
# PaddleHub chatbot
if isinstance(msg.text(), str) and len(msg.text()) > 0 \
and msg._payload.type == MessageType.MESSAGE_TYPE_TEXT:
# Use a special token '[Test]' to select messages to respond.
bot_response = model.predict(data=msg.text().replace('[Test]', ''))[0]
# Return the text generated by PaddleHub chatbot
await msg.say(bot_response)
###
async def on_scan(
qrcode: str,
status: ScanStatus,
_data,
):
"""
Scan Handler for the Bot
"""
print('Status: ' + str(status))
print('View QR Code Online: https://wechaty.js.org/qrcode/' + qrcode)
async def on_login(user: Contact):
"""
Login Handler for the Bot
"""
print(user)
# TODO: To be written
async def main():
"""
Async Main Entry
"""
#
# Make sure we have set WECHATY_PUPPET_SERVICE_TOKEN in the environment variables.
#
if 'WECHATY_PUPPET_SERVICE_TOKEN' not in os.environ:
print('''
Error: WECHATY_PUPPET_SERVICE_TOKEN is not found in the environment variables
You need a TOKEN to run the Python Wechaty. Please goto our README for details
https://github.com/wechaty/python-wechaty-getting-started/#wechaty_puppet_service_token
''')
bot = Wechaty()
bot.on('scan', on_scan)
bot.on('login', on_login)
bot.on('message', on_message)
await bot.start()
asyncio.run(main())
"""
# export WECHATY_PUPPET=wechaty-puppet-service
# WECHATY_PUPPET_SERVICE_TOKEN=puppet_paimon_f3dabb5216d8826c681de77f85f18c07
# export WECHATY_PUPPET=wechaty-puppet-service
# export
# WECHATY_PUPPET_SERVICE_TOKEN=puppet_padlocal_027a8892518645d1861dbb5b8948eff4
"""
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