 from abilities import key_value_storage
import logging
import requests
import json
import os
from twilio.twiml.messaging_response import MessagingResponse
from twilio.rest import Client
from flask import Flask, render_template, request
from gunicorn.app.base import BaseApplication

logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

app = Flask(__name__)

# Environment variables for Twilio
account_sid = os.environ['TWILIO_ACCOUNT_SID']
auth_token = os.environ['TWILIO_AUTH_TOKEN']
client = Client(account_sid, auth_token)

@app.route("/")
def home():
    return render_template('home.html')
def respond(message):

About this template

Build a WhatApp chatbot using Twilio, Discord and LazyAI.

Introduction to the WhatsApp ChatBot Template

Welcome to the WhatsApp ChatBot template guide. This template allows you to build a WhatsApp chatbot using Twilio, chat.discord.rocks, and LazyAI. The chatbot can interact with users through WhatsApp, providing automated responses and engaging with your audience effectively. This step-by-step guide will walk you through the process of setting up and deploying your WhatsApp ChatBot on the Lazy platform.

Getting Started

To begin using this template, click on "Start with this Template" on the Lazy platform. This will pre-populate the code in the Lazy Builder interface, so you won't need to copy, paste, or delete any code manually.

Initial Setup: Adding Environment Secrets

Before testing your chatbot, you need to set up the required environment secrets. These are not set in your operating system but within the Lazy Builder. Here's how to add them:

Test: Deploying the App

Once you have set up your environment secrets, press the "Test" button. This will begin the deployment of your app and launch the Lazy CLI. The Lazy platform handles all the deployment details, so you don't need to worry about installing libraries or setting up your environment.

Entering Input

If the code requires user input, the Lazy App's CLI interface will prompt you to provide it after pressing the "Test" button. Follow the instructions in the CLI to enter the necessary information.

Using the App

After deployment, if the code contains a frontend, you will be able to interact with the user interface. In this case, you can navigate to the provided server link to view and interact with your WhatsApp ChatBot's homepage.

Integrating the App

If your chatbot requires integration with external tools, follow these steps:

Remember, this guide is for the Lazy platform, and all steps should be executed within the Lazy environment. If you encounter any issues or have questions, Lazy's support team is available to assist you.

Good luck with your WhatsApp ChatBot, and happy building!

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WhatsApp ChatBot Template with customer chat api (Twilio, InstantChat)

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