WhatsApp-Chatbot | Whatsapp Chatbot developed using Selinium Webdriver | Chat library

by DollarAkshay Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | WhatsApp-Chatbot Summary

WhatsApp-Chatbot is a Python library typically used in Messaging, Chat, Selenium applications. WhatsApp-Chatbot has no bugs, it has no vulnerabilities and it has low support. However WhatsApp-Chatbot build file is not available. You can download it from GitHub.

A simple Whatsapp chatbot that chats with a group or person using the web version of Whatsapp.

Support

Quality

Security

License

Reuse

Support

WhatsApp-Chatbot has a low active ecosystem.

It has 120 star(s) with 63 fork(s). There are 12 watchers for this library.

It had no major release in the last 6 months.

There are 10 open issues and 3 have been closed. On average issues are closed in 12 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of WhatsApp-Chatbot is current.

Quality

WhatsApp-Chatbot has 0 bugs and 0 code smells.

Security

WhatsApp-Chatbot has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

WhatsApp-Chatbot code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

WhatsApp-Chatbot does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

WhatsApp-Chatbot releases are not available. You will need to build from source code and install.

WhatsApp-Chatbot has no build file. You will be need to create the build yourself to build the component from source.

WhatsApp-Chatbot saves you 42 person hours of effort in developing the same functionality from scratch.

It has 113 lines of code, 2 functions and 1 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed WhatsApp-Chatbot and discovered the below as its top functions. This is intended to give you an instant insight into WhatsApp-Chatbot implemented functionality, and help decide if they suit your requirements.

Initialize the user .
Compare two messages .

Get all kandi verified functions for this library.

WhatsApp-Chatbot Key Features

No Key Features are available at this moment for WhatsApp-Chatbot.

WhatsApp-Chatbot Examples and Code Snippets

No Code Snippets are available at this moment for WhatsApp-Chatbot.

Community Discussions

Trending Discussions on WhatsApp-Chatbot

PERMISSION_DENIED: IAM permission 'dialogflow.sessions.detectIntent' Node js

Twilio error-90100 : Invalid Autopilot Actions JSON

QUESTION

PERMISSION_DENIED: IAM permission 'dialogflow.sessions.detectIntent' Node js

Asked 2021-Jun-14 at 06:04

I have created a webhook for WhatsApp Chatbot using Nodejs following this online article: https://dev.to/newtonmunene_yg/creating-a-whatsapp-chatbot-using-node-js-dialogflow-and-twilio-31km

The webhook is linked to Twilio Sandbox for WhatsApp.

I have also provided the DialogFlow Admin API permission to service account on Google Cloud Platform.

When i send a new message from WhatsApp, its received on Twilio and the webhook is triggered but i am getting this error "Error: 7 PERMISSION_DENIED: IAM permission 'dialogflow.sessions.detectIntent' on 'projects/xxxx-xxx-xxxx/agent' denied." on the console on my local machine (i am using Ngrok to tunnel the localhost build to the web and using that URL as the webhook URL in Twilio).

We have a client demo for this feature so any quick help is appreciated. I am placing my dialog flow code and controller code below

dialogflow.ts

...

ANSWER

Answered 2021-Jun-07 at 16:46

I think the problem is with the service account. Make sure you use the same email which is registered with Dialogflow and GCP and then create a service account.

You can safely do this by going to the settings menu on Dialogflow and then click on the project id, it will take you to the correct place.

Also, there may be a possibility that you forget to enable the Dialogflow API from the API section on GCP.

Source https://stackoverflow.com/questions/67872010

QUESTION

Twilio error-90100 : Invalid Autopilot Actions JSON

Asked 2021-May-07 at 08:54

I referred to the Twilio blog published by Mwangi Kabiru:

https://www.twilio.com/blog/serverless-whatsapp-chatbot-python-google-cloud-functions-twilio

I made the necessary changes to the code to extract Google Sheets data from Google Drive and send it to Twilio chatbot(autopilot) via webhook. According to Google Cloud Function logs, the webhook successfully transmitted the information to the Twilio chatbot(autopilot) based on its request. But, Twilio is throwing 'error - 90100':

Invalid Autopilot Actions JSON: Invalid Autopilot Action Possible Causes Actions JSON does not comply with the Actions Schema (https://carnelian-neanderthal-8008.twil.io/assets/ActionsSchema.json)

Possible Solutions Test your JSON response against the Actions Schema (https://carnelian-neanderthal-8008.twil.io/assets/ActionsSchema.json)

How to download the JSON file of the webhook created on Google Cloud Function and test it against the Twilio Actions Schema? Can someone please help me to resolve this issue?

Google Cloud Function code:

...

ANSWER

Answered 2021-May-07 at 08:54

When you're calling a URL from Twilio Autopilot via redirect you need to return a JSON for Twilio Autopilot not TwiML.

You need to change the part where you're constructing your return message:

Source https://stackoverflow.com/questions/67425837

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install WhatsApp-Chatbot

You can download it from GitHub.
You can use WhatsApp-Chatbot like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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