Receive SMS with Twilio SMS API

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import os
from flask import Flask, request
from twilio.twiml.messaging_response import MessagingResponse
from twilio.rest import Client
from abilities import llm_prompt

app = Flask(__name__)

# Initialize Twilio client
account_sid = os.environ['TWILIO_ACCOUNT_SID']
auth_token = os.environ['TWILIO_AUTH_TOKEN']
twilio_client = Client(account_sid, auth_token)

@app.route("/sms", methods=['POST'])
def sms_reply():
    print("Received SMS.")

    # Get the message the user sent our Twilio number
    incoming_msg = request.values.get('Body', '').lower()

    # Start our TwiML response
    resp = MessagingResponse()
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Frequently Asked Questions

How can this SMS receiver template benefit my business?

The "Receive SMS with Twilio SMS API" template can significantly enhance your business's customer engagement and support capabilities. It allows you to automate responses to customer inquiries via SMS, providing instant support 24/

Can this template be used for marketing campaigns?

Absolutely! The "Receive SMS with Twilio SMS API" template can be adapted for various marketing campaigns. For example, you could set up keyword-based responses for product inquiries, promotional codes, or event registrations. By customizing the response logic, you can create interactive SMS campaigns that engage customers and provide them with relevant information instantly. This can lead to higher conversion rates and a more personalized marketing approach.

How do I set up a custom response for a specific keyword?

To set up a custom response for a specific keyword in the "Receive SMS with Twilio SMS API" template, you can modify the conditional statement in the sms_reply() function. Here's an example of how to add a custom response for the keyword "promo":

python if 'hello' in incoming_msg: response_msg = "Hi there! How can I assist you today?" elif 'promo' in incoming_msg: response_msg = "Great! Here's our latest promotion: Use code SMS10 for 10% off your next purchase." else: response_msg = llm_prompt(incoming_msg, model="gpt-4-1106-preview")

This allows you to create targeted responses for different keywords or phrases relevant to your business needs.

What kind of businesses can benefit most from this SMS receiver template?

The "Receive SMS with Twilio SMS API" template is versatile and can benefit a wide range of businesses. It's particularly useful for: - Customer support teams looking to automate initial responses and triage inquiries - E-commerce businesses wanting to provide order status updates or handle simple queries - Service-based businesses scheduling appointments or providing quick quotes - Event organizers managing RSVPs or providing event information - Any business looking to improve its customer communication and response times

The template's flexibility allows it to be customized for various use cases across different industries.

How can I extend this template to handle multimedia messages (MMS)?

To extend the "Receive SMS with Twilio SMS API" template to handle multimedia messages (MMS), you can modify the sms_reply() function to process incoming media. Here's an example of how you might do this:

```python @app.route("/sms", methods=['POST']) def sms_reply(): incoming_msg = request.values.get('Body', '').lower() num_media = int(request.values.get('NumMedia', 0))

   resp = MessagingResponse()

   if num_media > 0:
       media_url = request.values.get(f'MediaUrl0', '')
       media_type = request.values.get(f'MediaContentType0', '')
       response_msg = f"Thanks for sending media. I received a {media_type} file."
   elif 'hello' in incoming_msg:
       response_msg = "Hi there! How can I assist you today?"
   else:
       response_msg = llm_prompt(incoming_msg, model="gpt-4-1106-preview")

   resp.message(response_msg)
   return str(resp)

```

This modification allows the template to acknowledge when media is received and respond accordingly, enhancing its capabilities to handle various types of incoming messages.

Created: | Last Updated:

This app allows users to receive SMS messages using the Twilio SMS API and generate custom responses based on the received message. Users can set a Twilio number to receive the SMS messages and customize responses for specific keywords or phrases. Users can use the URL endpoint generated from this app as a Webhook URL on their Twilio number's messaging configuration so that received messages can be forwarded to this app.

Introduction to the SMS Response App Template

Welcome to the SMS Response App Template! This template is designed to help you create an application that can receive SMS messages using the Twilio SMS API and generate custom responses based on the content of the messages. This is particularly useful for businesses that want to automate their SMS communication with customers, providing quick and relevant responses to inquiries.

Getting Started

To begin using this template, simply click on "Start with this Template". This will set up the template in your Lazy builder interface, pre-populating the code so you can customize it according to your needs without any hassle of copying and pasting code.

Initial Setup: Adding Environment Secrets

Before you can test and use your app, you need to set up some environment secrets. These are sensitive pieces of information that your app needs to operate, such as your Twilio account credentials. Here's how to set them up:

  1. Log in to your Twilio account and navigate to the Console Dashboard.
  2. Find your Account SID and Auth Token. Keep this information secure.
  3. In the Lazy Builder interface, go to the Environment Secrets tab.
  4. Add two new secrets: one named TWILIO_ACCOUNT_SID and another named TWILIO_AUTH_TOKEN.
  5. Enter the respective values you obtained from your Twilio account.

With these secrets in place, your app will be able to authenticate with Twilio and send responses to incoming SMS messages.

Test: Deploying the App

Once you have set up your environment secrets, it's time to test your app. Press the "Test" button to begin the deployment process. The Lazy CLI will handle the deployment, and you won't need to provide any additional input at this stage.

Using the App

After deploying the app, Lazy will provide you with a server link. This link is the URL endpoint that you will set as a Webhook URL in your Twilio number's messaging configuration. Here's how to set it up:

  1. Go to the Twilio Console and navigate to the 'Phone Numbers' section.
  2. Select the Twilio number you want to use for receiving SMS messages.
  3. Find the Messaging section and paste the server link provided by Lazy into the 'A MESSAGE COMES IN' field.
  4. Save your changes.

Now, when someone sends an SMS to your Twilio number, Twilio will forward the message to your app, and your app will generate a response based on the message content.

Integrating the App

If you wish to integrate this app with other services or frontends, you will need to use the server link provided by Lazy. For example, you might want to display the incoming messages and responses on a dashboard or store them in a database. To do this, you would typically make HTTP requests to the server link, sending and receiving data as needed.

Remember, this app is designed to be flexible and can be customized to fit your specific requirements. Whether you're looking to create an automated customer support system or a marketing campaign that interacts with users via SMS, this template provides a solid foundation to build upon.

For more detailed information on how to use the Twilio API, you can refer to the Twilio SMS API documentation.

By following these steps, you should now have a functional SMS response application ready to interact with your customers. Enjoy automating your SMS communication with ease!



Template Benefits

  1. 24/7 Customer Support Automation: This template enables businesses to provide round-the-clock customer support via SMS, automatically responding to inquiries and reducing the need for human intervention during off-hours.

  2. Scalable Communication: By leveraging Twilio's SMS API, businesses can easily scale their messaging capabilities to handle high volumes of incoming messages without additional infrastructure investments.

  3. AI-Powered Responses: The integration of an LLM (like GPT-4) allows for intelligent, context-aware responses to customer queries, improving the quality and relevance of automated interactions.

  4. Customizable Keyword Triggers: Businesses can easily set up specific responses for common keywords or phrases, ensuring consistent and accurate information is provided for frequently asked questions.

  5. Easy Integration with Existing Systems: The Flask-based application can be readily integrated with other business systems and databases, allowing for personalized responses based on customer data or real-time information.

Technologies

Enhance Twilio Workflows with Lazy AI Templates: Automate SMS, Calls, WhatsApp, Notifications and More  Enhance Twilio Workflows with Lazy AI Templates: Automate SMS, Calls, WhatsApp, Notifications and More

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