In this example let's walk through how to get the live transcription and insights events in a Telephone call.
Open .env
file and add your APP_ID, APP_SECRET, SUMMARY_EMAIL. You can get
APP_ID and APP_SECRET from
https://platform.symbl.ai
We will use symbl-node
package.
require('dotenv').config()
const {sdk} = require('symbl-node')
Let's start by initialising symbl-node
sdk
await sdk.init({
appId: process.env.APP_ID,
appSecret: process.env.APP_SECRET,
basePath: 'https://api.symbl.ai',
})
Now let's start our connection:
const connection = await sdk.startEndpoint(endpointConfig)
First of all let's provide phone number and endpoint type:
endpoint: {
type: 'pstn',
phoneNumber: process.env.DEFAULT_PHONE_NUMBER,
},
In case you want to use sip
connection, you can use type: sip
and provide
SIP URI to dial-in to. This should be unique for an active call/meeting in your
system. You can also provide dtmf
code if you have one. You can find this code
on meeting platform invite. You can leave it blank if not connecting to meeting
platform
dtmf: "<code>",
type: 'sip',
uri: 'sip:124@domain.com'
You can also pass custom audioConfig
. If not provided, it uses PCMU with 800
sample rate. If you want to provide it, you can do it like so:
audioConfig: {
encoding: 'OPUS',
sampleRate: 48000
},
Symbl provide various insights from the call. Main insights categories are
question
and action_item
. In order to include insights in processing, you
need to specify them in configuration like so:
insightTypes: ['action_item', 'question'],
You can specify different actions to happen during the call. We will define just one:
actions: [
{
invokeOn: 'stop',
name: 'sendSummaryEmail',
parameters: {
emails: [process.env.SUMMARY_EMAIL], // Add valid email addresses to received email
},
},
],
When our connection will be stopped, Symbl will send summary mail provided in
.env
file
Let's also name our session by providing:
data: {
session: {
name: 'My Test Meeting',
},
},
For subscribing to the data, we will need to use connectionId
unique to each
active connection. to get it you can simply retrieve it from connection
response:
const connectionId = connection.connectionId
We can send different speaker events to our connection indicating that different speakers started speaking. That will give us more personalised insights and get better meeting summary
In our example we will do it by calling helper getScheduleEvent
function, that
we will review in a bit. We pass SpeakerEvent type to it by using
SpeakerEvent.types
enum from symbl-node
, passing user data and timestamp
const scheduleEvent = getScheduleEvent(sdk, connectionId)
setTimeout(() => {
// Schedule all the events to be sent.
scheduleEvent(SpeakerEvent.types.startedSpeaking, users.john, 0)
scheduleEvent(SpeakerEvent.types.stoppedSpeaking, users.john, 5)
}, 1000)
We retrieve users just from the global array of users but in real world example that might be users data retrieved from database.
const users = {
john: {
userId: 'john@example.com',
name: 'John',
},
mary: {
userId: 'mary@example.com',
name: 'Mary',
},
}
In order to push event to our connection we will create an event like so
const speakerEvent = new SpeakerEvent({
type: eventType,
user,
})
speakerEvent.timestamp = new Date().toISOString()
And push it using pushEventOnConnection
function provided by SDK
sdk.pushEventOnConnection(connectionId, speakerEvent.toJSON(), (err) => {
if (err) {
console.error('Error during push event.', err)
} else {
console.log('Event pushed!')
}
})
In order to get real time data, we need to subscribe to the connection. We can do so by using
sdk.subscribeToConnection(connectionId, (data) => {})
data has type
field, so we will check for transcript_response
,
insight_response
and message_response
transcript_response
are our live transcriptions that we want to preview in the
console.
if (type === 'transcript_response') {
const {payload} = data
process.stdout.write('Live: ' + payload && payload.content + '\r')
}
Transcripts are changing all the time, but once they are processed into
reasonable message and not just words, we will get message_response
with
messages array
if (type === 'message_response') {
const {messages} = data
messages.forEach((message) => {
process.stdout.write('Message: ' + message.payload.content + '\n')
})
}
And finally if there will be any question or action item during conversation,
you will get insight_response
if (type === 'insight_response') {
const {insights} = data
insights.forEach((insight) => {
process.stdout.write(`Insight: ${insight.type} - ${insight.text} \n\n`)
})
}
As you can see with this data there is a wide array of implementations you can do