I am building a voice bot using Twilio and Django. I have set up an outbound call with media streaming, which is working fine. However, I want to implement voice activity detection so that if the customer interrupts while the voice bot is speaking, the bot stops speaking immediately.I am looking for guidance on how to achieve this using Twilio's Media Streams feature
I have set up media streaming for the Twilio outbound call using the verb in the TwiML response.This is my view:
'''pythonclass StartOutboundCallingView(APIView):
client = Client(sid, token)def post(self, request, format=None): from_ = request.data.get("from") to = request.data.get("to") if "from" not in request.data or "to" not in request.data: return Response( {"Required Field": "from and to are required fields"}, status=status.HTTP_400_BAD_REQUEST, ) resp = VoiceResponse() call = self.client.calls.create( twiml=generate_twiml(), to=to, from_=from_, ) return Response({"call_id": call.sid}, status=status.HTTP_200_OK)'''
this is how I am generating the twiml
'''pythondef generate_twiml():return f'''''''''this is my websocket consumer:
'''pythonclass TwilioWS(WebsocketConsumer):
def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.grok_ai = None self.call_id = None self.stream_id = None self.transcriber = None self.tts = None self.thread_pool = concurrent.futures.ThreadPoolExecutor(max_workers=1) self.loop = asyncio.get_event_loop()def connect(self): self.transcriber: DeepgramSTT = DeepgramSTT(self) self.transcriber.start_transcription() asyncio.run(self.init_grok()) return super().connect()async def init_grok(self) -> None: self.grok_ai: GroqAI = GroqAI(self) self.grok_ai.initialize()def disconnect(self) -> None: self.transcriber.disconnect()def receive(self, text_data: str) -> None:""" Handle incoming WebSocket message. Args: text_data (str): Base64 encoded audio stream. Returns: None""" if not text_data: self.transcriber.disconnect() return data: dict = json.loads(text_data) event: str = data.get('event') if event == "start": self.streamSid: str = data['start']['streamSid'] self.call_id: str = data['start']['callSid'] if event == "media": self.handle_transcription( base64.b64decode(data["media"]["payload"]), self.call_id, ) if event == "stop": self.transcriber.disconnect()def handle_transcription(self, chunk: bytes, call_id: str) -> None:"""Handle transcription of a chunk of audio. Args: chunk (bytes): The audio chunk to transcribe. call_id (str): The ID of the call.""" self.thread_pool.submit( self.transcriber.transcribe, chunk, call_id )// return response audio to twiliodef handle_transcribed_audio(self, audio_data): # start_time = time.time() encoded_audio = base64.b64encode(audio_data).decode('UTF-8') self.send(json.dumps({'streamSid': self.streamSid,'event': 'media','media': {'payload': encoded_audio, }, }))'''