Make phone calls from your browser, entirely in Python
Twilio provides APIs for developers to build SMS, voice calls, video and more into their mobile and web applications.
This is how we’ll build it:
- First, we’ll create an Anvil app and set up a Twilio phone number.
- We’ll direct our call by setting up an HTTP endpoint.
- We can then set up the Twilio Client SDK to talk to that endpoint.
- Finally, we’ll add a couple of buttons to our app’s front-end and make a call from the browser.
1. Create a new Anvil app
We first need to create a blank Anvil app:
2. Sign up for Twilio
Next, we need to sign up for Twilio and purchase a Twilio phone number. With the free trial account, Twilio will give you $15 in credit, so you don’t need to add a credit card or pay anything at first.
Go to twilio.com and create an account. Once you have an account, navigate to “Buy a Number” on the Phone Numbers dashboard in the console. You’ll need to search for a number with voice capabilities and click “Buy” to add it to your account.
Next, we need our Account SID and Auth Token, which can be found on the home page of the console. We can store each of these in an App Secret in our Anvil app. This way, our AccountSid and Auth Token will be stored encrypted in our app.
Note: This guide includes screenshots of the Classic Editor. Since we created this guide, we've released the new Anvil Editor, which is more powerful and easier to use.
All the code in this guide will work, but the Anvil Editor will look a little different to the screenshots you see here!
Now we need to create an API key. Go to “API Keys” under “Settings” in the sidebar of the console. Adding a new API key will give you an API SID and a Secret. Store both of these values in an App Secret like before.
3. Add an HTTP endpoint
The next step is to specify what Twilio should do when our browser code connects. Twilio thinks of our browser as a virtual phone, and when we call
connect() on Twilio’s Client SDK, Twilio will make an HTTP request to our app, and use the response to direct the call.
We’re going to create an HTTP endpoint that returns instructions in Twilio’s own markup language, TwiML. There are many actions available in TwiML. For example, we could use
<Say> to read a message which would play in the browser, or
<Play> to play a recorded message. We’re going to be even more interactive: we’ll use
<Dial>, which will place a call to a phone number, so audio from the computer goes to the phone, and vice versa.
In our Anvil app, let’s add a Server Module and write an HTTP endpoint function. This function responds with TwiML telling Twilio to dial a number:
@anvil.server.http_endpoint("/call-connected") def get_twiml(**kwargs): resp = anvil.server.HttpResponse() resp.headers["Content-Type"] = "text/xml" # callerId should be your Twilio phone number resp.body = "<Response><Dial callerId='+1000000000'>+1555555555</Dial></Response>" return resp
Now that we’ve set up the endpoint, we need to tell Twilio to send its requests to this URL. This endpoint will live at
https://<my-anvil-app-url>/_/api/call-connected. (You can find the URL for your Anvil app in the Gear Menu under “Publish”. If your app is published under a private URL, check the message at the bottom of your Server Module for the correct endpoint URL)
Back in the Twilio console, open TwiML apps and add a new app with the URL we just set up. We’ll need the ID for this app, the Application SID:
Copy the Application SID, and store it as an App Secret called
4. Set up the Twilio Client SDK
Now we’re going to add the Twilio Client SDK, and use it to make voice calls from the browser. First, we need to import the SDK. Then we need to configure it to connect to the TwiML app we’ve just created.
Importing the SDK
Configuring the connection
We want to configure the Client SDK to connect to our TwiML app. To do this, we create a time-limited, cryptographically-signed token (using our Twilio API keys, on the server) and then pass it to the client SDK (in the browser). When the client connects to Twilio, Twilio will see that the token is genuine and that it corresponds to our app, and Twilio will call our HTTP endpoint to direct the call.
We’ll write a function that generates and returns an access token based on the “Voice” example on this page. We will then call it when the page loads, and immediately use it to initialise the Twilio Client SDK.
In our server module, we first need to add the following import statements:
from twilio.jwt.access_token import AccessToken from twilio.jwt.access_token.grants import VoiceGrant
Now here’s the meat of the function. It loads the necessary tokens and SIDs that we stored in App Secrets, and then generates a voice Access Token pointing at our TwiML application:
@anvil.server.callable def get_access_token(): # required for all twilio access tokens account_sid = anvil.secrets.get_secret('account_sid') api_key = anvil.secrets.get_secret('api_sid') api_secret = anvil.secrets.get_secret('api_secret') # required for Voice grant outgoing_application_sid = anvil.secrets.get_secret('application_sid') identity = 'user' # Create access token with credentials token = AccessToken(account_sid, api_key, api_secret, identity=identity) # Create a Voice grant and add to token voice_grant = VoiceGrant( outgoing_application_sid=outgoing_application_sid ) token.add_grant(voice_grant) return token.to_jwt()
We’ve added the
@anvil.server.callable decorator to our function, which means we can call this function in the client to return the generated token.
Let’s now write some code in the browser so we can actually make calls.
5. Set up calling on the browser
First, let’s add a quick front-end to our app. In the App Designer, let’s drag and drop two Buttons onto the form, one for making a call and the other for hanging up the call. In the Properties panel, untick the
visible property for the button that hangs up the call – we don’t want it shown until the call starts. Scroll down to the bottom of the properties panel and create click events for each button:
Let’s now switch to our form’s code view, and import the
from anvil.js.window import Twilio
Now, when the form loads (in its
__init__ method), we’ll get our access token:
def __init__(self, **properties): # Set Form properties and Data Bindings. self.init_components(**properties) # Add this line: self.token = anvil.server.call("get_access_token")
We want to do all this when the button is clicked, so we’ll do it in the
def call_button_click(self, **event_args): """This method is called when the button is clicked""" self.device = Twilio.Device() #initialize the Device self.device.setup(self.token) #when the device is ready, we can connect self.device.on("ready", self.make_connection) #make the hang_up_button visible during a call #and the call_button not self.hang_up_button.visible = True self.call_button.visible = False def make_connection(self, ready): connection = self.device.connect()
We can’t make the
Connection until the
Device has been successfully set up. So we need to wait until the
Device.on("ready") event triggers before we call
Finally, we want to be able to hang up the call. We can disconnect the call by calling the Device’s
disconnectAll() method. We’ll do this when the user clicks the “Hang Up” button:
def hang_up_button_click(self, **event_args): """This method is called when the button is clicked""" self.device.disconnectAll() self.call_button.visible = True self.hang_up_button.visible = False
Try it out
That’s all there is to it. Click the
call_button to make a call from your browser!
To check out the source code, you can clone the app by clicking here:
We’ve just built a web app that can make phone calls from the browser using Twilio’s Voice API, and all we needed was Python and a few lines of code
More about Anvil
If you’re new here, welcome! Anvil is a platform for building full-stack web apps with nothing but Python. No need to wrestle with JS, HTML, CSS, Python, SQL and all their frameworks – just build it all in Python.
Get Started with Anvil
Nothing but Python required!
Seven ways to plot data in Python
Python is the language of Data Science, and there are many plotting libraries out there.
Which should you choose?
In this guide, we introduce and explain the best-known Python plotting libraries, with a detailed article on each one.