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WhatsApp ChatBot Template with customer chat api (Twilio, InstantChat)
This video demonstrates how to use the WhatsApp ChatBot Template with customer chat api (Twilio, InstantChat) template.
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):Frequently Asked Questions
What are some potential business applications for this WhatsApp ChatBot?
The WhatsApp ChatBot (Twilio, InstantChat) template offers numerous business applications. It can be used for customer support, providing instant responses to common queries. E-commerce businesses can leverage it for order tracking and product recommendations. Educational institutions can use it for student inquiries and course information. Healthcare providers can implement it for appointment scheduling and basic health advice. The bot's ability to maintain conversation history makes it ideal for personalized interactions across various industries.
How can this WhatsApp ChatBot improve customer engagement?
This WhatsApp ChatBot template significantly enhances customer engagement by providing 24/7 availability and instant responses. It uses the Mixtral-8x7b-instant model, ensuring high-quality, context-aware conversations. The bot remembers previous interactions, allowing for personalized experiences. By integrating this chatbot, businesses can reduce response times, handle multiple inquiries simultaneously, and provide consistent information, all of which contribute to improved customer satisfaction and engagement.
What's the cost-effectiveness of implementing this WhatsApp ChatBot for a small business?
The WhatsApp ChatBot (Twilio, InstantChat) template offers a cost-effective solution for small businesses. It reduces the need for a large customer service team by automating responses to common queries. The use of Twilio's pay-as-you-go model means businesses only pay for the messages they send and receive. Additionally, the template's integration with chat.discord.rocks for AI responses can be more economical than developing a proprietary AI solution. Overall, this chatbot can significantly reduce operational costs while improving customer service quality.
How can I customize the initial greeting message sent by the WhatsApp ChatBot?
To customize the initial greeting message, you need to modify the prompt.txt file in the template. This file contains the system prompt that's sent as the first message to new users. Here's how you can change it:
```python # Open the prompt.txt file and edit its content with open('prompt.txt', 'w') as file: file.write("Welcome to [Your Company Name]! How can I assist you today?")
# The bot will now use this new greeting for first-time users ```
Remember to keep the greeting concise and aligned with your brand voice when customizing the WhatsApp ChatBot's initial message.
How can I extend the functionality of the WhatsApp ChatBot to handle specific commands?
You can extend the WhatsApp ChatBot's functionality by adding custom command handling in the wa_hello() function. Here's an example of how you might add a simple command to check the bot's status:
```python @app.route("/wa", methods=['GET', 'POST']) def wa_hello(): message_body = request.values.get('Body', '').lower()
# Add custom command handling
if message_body == "!status":
return respond("The WhatsApp ChatBot is up and running!")
# Existing code for normal message processing
phoneNumber = request.values.get("From").replace("whatsapp:", "")
# ... (rest of the existing code)
```
This example adds a !status command that returns a predefined message. You can expand this concept to add more complex commands, integrating with external APIs or databases as needed for your specific use case of the WhatsApp ChatBot (Twilio, InstantChat) template.
Created: | Last Updated:
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!
Here are 5 key business benefits for this WhatsApp ChatBot template:
Template Benefits
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24/7 Customer Support: Provide round-the-clock customer service through WhatsApp, improving response times and customer satisfaction without increasing staffing costs.
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Scalable Communication: Easily handle multiple customer conversations simultaneously, allowing businesses to scale their communication efforts efficiently as they grow.
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Personalized Interactions: Leverage the chat history feature to offer personalized responses and maintain context across conversations, enhancing the customer experience.
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Multi-purpose Automation: Adapt the chatbot for various business functions such as product inquiries, order tracking, appointment scheduling, or lead generation, streamlining multiple processes.
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Data Collection and Insights: Gather valuable customer data and insights through conversations, which can be used to improve products, services, and marketing strategies.
Technologies
Enhance Twilio Workflows with Lazy AI Templates: Automate SMS, Calls, WhatsApp, Notifications and More
Streamline WhatsApp Workflows with Lazy AI: Automate Messaging, Notifications, API Integrations and More
Discord Automation & Bots
