hi | ElevenLabs | Page 1

sinful flaxBOT Feb 25, 2025, 4:29 PM

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AI-generated Answer for jahan.dev

Hello! How can I assist you today?

clever juniper Feb 25, 2025, 4:30 PM

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i need help.
i need a code example for pyton, realtime websocket with twilio

sinful flaxBOT Feb 25, 2025, 4:30 PM

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AI-generated Answer for jahan.dev

Hello! I'd be happy to help you with a code example for real-time WebSocket integration with Twilio using Python. Here's a basic example to get you started:

import os
from dotenv import load_dotenv
import websockets
import json
import base64
import asyncio

# Load environment variables
load_dotenv()
ELEVENLABS_API_KEY = os.getenv("ELEVENLABS_API_KEY")

voice_id = 'your_voice_id_here'
model_id = 'eleven_turbo_v2'

async def text_to_speech_ws_streaming(voice_id, model_id):
    uri = f"wss://api.elevenlabs.io/v1/text-to-speech/{voice_id}/stream-input?model_id={model_id}"
    
    async with websockets.connect(uri) as websocket:
        # Set up voice settings
        await websocket.send(json.dumps({
            "text": " ",
            "voice_settings": {"stability": 0.5, "similarity_boost": 0.8, "use_speaker_boost": False},
            "generation_config": {
                "chunk_length_schedule": [120, 160, 250, 290]
            },
            "xi_api_key": ELEVENLABS_API_KEY,
        }))
        
        # Send the text to be converted to speech
        text = "Hello, this is a test message for Twilio integration."
        await websocket.send(json.dumps({"text": text}))
        
        # Send empty string to close the connection
        await websocket.send(json.dumps({"text": ""}))
        
        # Listen for and process the audio data
        async for message in websocket:
            data = json.loads(message)
            if data.get("audio"):
                audio_data = base64.b64decode(data["audio"])
                # Here you would send the audio_data to Twilio
                # You'll need to implement Twilio-specific code here
            elif data.get('isFinal'):
                break

# Run the WebSocket connection
asyncio.run(text_to_speech_ws_streaming(voice_id, model_id))

This example demonstrates how to set up a WebSocket connection to ElevenLabs' text-to-speech API and stream audio data. To integrate this with Twilio, you'll need to:

Set up a Twilio account and obtain your account credentials.
Install the Twilio Python library: pip install twilio
Implement Twilio-specific code to send the audio data to a Twilio phone number or client.

For the Twilio integration, you'll need to create a TwiML application and use Twilio's Voice API. Here's a basic outline of how you might send the audio to Twilio:

from twilio.rest import Client

# Twilio credentials
account_sid = 'your_account_sid'
auth_token = 'your_auth_token'
client = Client(account_sid, auth_token)

# Inside your WebSocket loop, where you receive
call = client.calls.create(
    twiml='<Response><Play>{{audio_url}}</Play></Response>',
    to='+1234567890',  # The number you're calling
    from_='+0987654321'  # Your Twilio number
)

Remember to replace placeholder values like your_voice_id_here, your_account_sid, and your_auth_token with your actual ElevenLabs and Twilio credentials.

This is a basic example and may need further refinement based on your specific use case and requirements. You might need to handle things like error checking, reconnection logic, and proper audio formatting for Twilio.

For more detailed information on Twilio integration, I recommend checking their official documentation and API references.

clever juniper Feb 25, 2025, 5:26 PM

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i dont want to use <Play>, intsead i want to send chunks direcly to twilio

sinful flaxBOT Feb 25, 2025, 5:26 PM

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AI-generated Answer for jahan.dev

To send audio chunks directly to Twilio in real-time using a WebSocket, you can integrate ElevenLabs' text-to-speech API with Twilio's WebSocket capabilities. Below is an example of how you can achieve this in Python:

Prerequisites

Ensure you have an ElevenLabs account and API key.
Set up a Twilio account with an active phone number.
Install the required Python libraries: twilio, websockets, and elevenlabs.

Code Example

import asyncio
import websockets
from elevenlabs import ElevenLabs

# Initialize ElevenLabs client
elevenlabs_client = ElevenLabs(api_key="YOUR_ELEVENLABS_API_KEY")

# Function to generate audio chunks from ElevenLabs
async def generate_audio_chunks(text, voice_id):
    audio_stream = elevenlabs_client.text_to_speech.convert_as_stream(
        text=text,
        voice_id=voice_id,
        model_id="eleven_multilingual_v2"
    )
    for chunk in audio_stream:
        if isinstance(chunk, bytes):
            yield chunk

# Function to send audio chunks to Twilio WebSocket
async def send_audio_to_twilio(uri, text, voice_id):
    async with websockets.connect(uri) as websocket:
        async for audio_chunk in generate_audio_chunks(text, voice_id):
            await websocket.send(audio_chunk)
        await websocket.close()

# Main function
async def main():
    # Replace with your Twilio WebSocket URL
    twilio_websocket_url = "wss://your-twilio-websocket-url"
    text_to_speak = "Hello, this is a real-time audio stream from ElevenLabs."
    voice_id = "YOUR_VOICE_ID"  # Replace with your desired voice ID

    await send_audio_to_twilio(twilio_websocket_url, text_to_speak, voice_id)

# Run the main function
asyncio.run(main())

Key Points:

Audio Streaming: The generate_audio_chunks function streams audio chunks from ElevenLabs' API in real-time.
WebSocket Connection: The send_audio_to_twilio function establishes a WebSocket connection with Twilio and sends the audio chunks directly.
Twilio WebSocket URL: Replace wss://your-twilio-websocket-url with the WebSocket URL provided by Twilio for your application.

Notes:

Ensure the audio format is compatible with Twilio. For example, Twilio often requires μ-law 8000 Hz audio format.
You may need to configure your Twilio webhook to handle incoming WebSocket connections.

This setup allows you to bypass the <Play> verb and send audio chunks directly to Twilio in real-time.

clever juniper Feb 26, 2025, 1:55 PM

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i get this error:
websockets.legacy.exceptions.InvalidStatusCode: server rejected WebSocket connection: HTTP 400

sinful flaxBOT Feb 26, 2025, 1:55 PM

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AI-generated Answer for jahan.dev

The error websockets.legacy.exceptions.InvalidStatusCode: server rejected WebSocket connection: HTTP 400 typically indicates an issue with how the WebSocket connection is being established. This could be due to incorrect parameters, missing headers, or an invalid WebSocket URL.

To send audio chunks directly to Twilio using a WebSocket connection, you need to ensure the following:

Key Steps to Resolve the Issue:

Correct WebSocket URL: Ensure the WebSocket URL is properly formatted. For example:

uri = f"wss://api.elevenlabs.io/v1/text-to-speech/{voice_id}/stream-input?model_id=eleven_multilingual_v2&optimize_streaming_latency=3"

Authentication: Make sure you are passing the correct API key in the headers or the initial WebSocket message. For example:
```
headers = {
    "xi-api-key": "YOUR_API_KEY"
}
```
Proper Audio Format: Twilio requires specific audio formats. Ensure the audio chunks you are sending are in the correct format (e.g., μ-law 8000 Hz).
WebSocket Connection Setup: Use a library like websockets to establish the connection and send audio chunks. Below is an example of how you can set up a WebSocket connection and send audio data:

Example Code

import asyncio
import websockets

async def send_audio_to_twilio():
    uri = "wss://api.elevenlabs.io/v1/text-to-speech/YOUR_VOICE_ID/stream-input?model_id=eleven_multilingual_v2&optimize_streaming_latency=3"
    headers = {
        "xi-api-key": "YOUR_API_KEY"
    }

    try:
        async with websockets.connect(uri, extra_headers=headers) as websocket:
            # Example: Send audio chunks in μ-law 8000 Hz format
            with open("audio_chunk.ulaw", "rb") as audio_file:
                while chunk := audio_file.read(1024):  # Read in chunks of 1024 bytes
                    await websocket.send(chunk)
                    print("Sent audio chunk")

            # Close the WebSocket connection
            await websocket.close()
            print("WebSocket connection closed")

    except websockets.exceptions.InvalidStatusCode as e:
        print(f"WebSocket connection failed: {e}")

# Run the async function
asyncio.run(send_audio_to_twilio())

Additional Notes:

Audio Format: Ensure the audio file is pre-processed into μ-law 8000 Hz format before sending it to Twilio.
Error Handling: Add robust error handling to manage connection issues, timeouts, or invalid responses.
Debugging: Enable debug logging to monitor the WebSocket connection and identify potential issues.

If the issue persists, double-check your API key, WebSocket URL, and ensure your network allows WebSocket connections. Let me know if you need further clarification!

clever juniper Feb 26, 2025, 2:48 PM

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i Need a phyton exampe for text-to-speech in real-time with twilio using eleven_flash_v2_5.
please provide a complete example

sinful flaxBOT Feb 26, 2025, 2:48 PM

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AI-generated Answer for jahan.dev

I understand you're looking for a Python example to use ElevenLabs' text-to-speech with Twilio in real-time using WebSockets and the eleven_flash_v2_5 model. While I can provide some guidance, I don't have a complete example that meets all your requirements. However, I can offer some insights based on the available information:

For WebSocket streaming with ElevenLabs, you can use the following base URL:

uri = f"wss://api.elevenlabs.io/v1/text-to-speech/{voice_id}/stream-input?model_id=eleven_flash_v2_5"

When setting up the WebSocket connection, make sure to include your API key and voice settings:

import json
import websockets

async with websockets.connect(uri) as websocket:
    await websocket.send(json.dumps({
        "text": " ",
        "voice_settings": {"stability": 0.5, "similarity_boost": 0.8},
        "xi_api_key": "YOUR_ELEVENLABS_API_KEY",
    }))

For sending text and receiving audio chunks:

    text = "Your text to convert to speech"
    await websocket.send(json.dumps({"text": text}))
    
    while True:
        try:
            response = await websocket.recv()
            data = json.loads(response)
            if data.get("audio"):
                audio_chunk = base64.b64decode(data["audio"])
                # Here you would send the audio_chunk to Twilio
            elif data.get('isFinal'):
                break
        except websockets.exceptions.ConnectionClosed:
            break

For Twilio integration, you'll need to use Twilio's Media Streams API to send the audio chunks in real-time. However, I don't have specific code for this part of the integration.
Make sure you're using the correct output format for Twilio. You might need to convert the audio to the appropriate format (e.g., ulaw_8000) before sending it to Twilio.

To resolve the WebSocket connection error you're experiencing, double-check that you're using the correct URL and including all necessary parameters and headers in your request.

For a more complete and accurate solution, I recommend checking the ElevenLabs API documentation and the Twilio documentation for the most up-to-date information on integrating these services. You may also find helpful examples in the elevenlabs-python GitHub repository.

If you need further assistance, consider reaching out to ElevenLabs' support team or community forums for more specific guidance on using their WebSocket API with Twilio.

clever juniper Feb 26, 2025, 2:50 PM

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please give me a complete code eample

#hi

Prerequisites

Code Example

Key Points:

Notes:

Key Steps to Resolve the Issue:

Example Code

Additional Notes: