Activate the virtual environment in Linux and MacOS with, replace whatsappbot with the name of the environment you created in step 2: . whatsappbot/bin/activate For Windows, activate the virtual environment with, replace whatsappbot with the name of the environment you created in step 2: ...
Simple WhatsApp Bot in Python for Beginners This repository contains a basic WhatsApp bot written in Python, ideal for developers who are just starting out. The bot responds to various commands with text messages and images. With straightforward setup steps and detailed comments in the code, this...
WhatsApp Python Bot. The basic functionality you will need when developing a bot: sending and receiving messages, sending a picture, file, document, video, as well as creating a group and sending a message to the WhatsApp group - Whapi-Cloud/python-whats
jsonify # initialize the flask app app = Flask(__name__) # default route @app.route('/) def index(): return 'Hello World' # function for responses def results(): # build a request object req = request.get_json(force=True) # fetch action from json action = req.get('queryResult')...
Whatsapp 机器人 Whatsapp Bot urmil89 最后 这些项目都挺实用,要查看源代码,记得点击「阅读原文」,如果有帮助请点赞、在看、关注支持,你的支持,是我分享的动力。 本文参与腾讯云自媒体同步曝光计划,分享自微信公众号。 原始发表:2021-09-17,如有侵权请联系cloudcommunity@tencent.com删除 ...
Whatsapp is an incredible tool for engaging in a text conversation With the global crisis around the COVID-19 looming large, WhatsApp is also a congregation point for people to share knowledge and information related to the pandemic
Wechaty 是一个开源的聊天机器人框架,支持多种聊天平台,包括微信、WhatsApp、Telegram 等。它旨在帮助开发者快速构建和部署聊天机器人,具有强大的功能和易用的接口。本文将详细介绍 Wechaty 库,包括其安装方法、主要特性、基本和高级功能,以及实际应用场景,帮助全面了解并掌握该库的使用。
body('Ich kenne mich leider nur mit Zitaten und Katzen aus.') return str(resp) if __name__ == '__main__': app.run(port=4000) WhatsApp-Chatbot testen Bereit, den Chatbot zu testen? Nachdem Sie obigen Code in die bot.py-Datei kopiert haben, starten Sie den Chatbot, indem ...
In this step, you’ll train your chatbot with the WhatsApp conversation data that you cleaned in the previous step. You’ll end up with a chatbot that you’ve trained on industry-specific conversational data, and you’ll be able to chat with the bot—about houseplants!
These commands create a new directory named askpdf_whatsapp and navigate into it. Then a Python virtual environment name venv is created and activated. Next, create a file named requirements.txt that would contain the list of the required packages and add the following code to it. Bash Copy...