how to use elevenlabs voices though the python sdk. I want to build my own function calling and jus | ElevenLabs | Page 1

grave knotBOT Jan 27, 2025, 1:15 AM

#

AI-generated Answer for dicartagena

To use ElevenLabs voices through the Python SDK and implement your own function calling, you can follow these steps to set up and integrate the SDK into your code. Here's a walkthrough:

1. Install the Python SDK

First, install the ElevenLabs Python SDK in your project:

pip install elevenlabs

If you want to use the default implementation of audio input/output, you’ll also need the pyaudio extra:

pip install "elevenlabs[pyaudio]"

2. Set Up Your Environment

Create a .env file in your project directory to securely store your API key:

ELEVENLABS_API_KEY=your_elevenlabs_api_key_here

Install the python-dotenv package to load environment variables:

pip install python-dotenv

3. Initialize the SDK

Here’s how to set up the SDK in your Python code:

import os
from elevenlabs.client import ElevenLabs
from elevenlabs.conversational_ai.conversation import Conversation
from elevenlabs.conversational_ai.default_audio_interface import DefaultAudioInterface

# Load API key from environment variables
api_key = os.getenv("ELEVENLABS_API_KEY")

# Initialize the ElevenLabs client
client = ElevenLabs(api_key=api_key)

4. Set Up a Conversation

To implement an agent in your code, you can use the Conversation class. Here’s an example:

# Define your agent ID (replace with your actual agent ID)
agent_id = "your_agent_id"

# Initialize the Conversation instance
conversation = Conversation(
    client=client,
    agent_id=agent_id,
    requires_auth=bool(api_key),  # Set to True if your agent requires authentication
    audio_interface=DefaultAudioInterface(),  # Use default audio input/output
    callback_agent_response=lambda response: print(f"Agent: {response}"),
    callback_user_transcript=lambda transcript: print(f"User: {transcript}"),
)

5. Start the Conversation

Start the session and handle clean shutdowns:

import signal

# Start the conversation session
conversation.start_session()

# Handle clean shutdown on Ctrl+C
signal.signal(signal.SIGINT, lambda sig, frame: conversation.end_session())

# Wait for the session to end
conversation_id = conversation.wait_for_session_end()
print(f"Conversation ID: {conversation_id}")

6. Customize Function Calling

If you want to implement your own function calling, you can subclass the AudioInterface or use middleware to handle server-side logic. For example, you can integrate your own API calls or logic within the callbacks:

def custom_callback(response):
    # Example: Call your own function based on the agent's response
    if "trigger_function" in response:
        my_custom_function()

conversation = Conversation(
    client=client,
    agent_id=agent_id,
    requires_auth=bool(api_key),
    audio_interface=DefaultAudioInterface(),
    callback_agent_response=custom_callback,
)

7. Run Your Script

Run your script to start interacting with the agent. You can now build your own logic around the agent's responses and integrate it into your application.

This setup allows you to use ElevenLabs voices and conversational AI in your Python project while implementing custom logic. If you need further assistance or have specific requirements, feel free to ask!

pastel flame Jan 27, 2025, 1:42 AM

#

what should the whole script look like all together?

grave knotBOT Jan 27, 2025, 1:42 AM

#

AI-generated Answer for dicartagena

To use ElevenLabs voices through the Python SDK and implement an agent in your code, you can follow the steps below. Here's a complete script that demonstrates how to set up and use the ElevenLabs Python SDK to create a conversational AI agent:

Full Script Example

import os
import signal
from elevenlabs.client import ElevenLabs
from elevenlabs.conversational_ai.conversation import Conversation
from elevenlabs.conversational_ai.default_audio_interface import DefaultAudioInterface

# Load your API key and agent ID from environment variables
AGENT_ID = os.getenv("AGENT_ID")  # Replace with your agent ID
API_KEY = os.getenv("ELEVENLABS_API_KEY")  # Replace with your API key

# Initialize the ElevenLabs client
client = ElevenLabs(api_key=API_KEY)

# Set up the conversation instance
conversation = Conversation(
    client=client,
    agent_id=AGENT_ID,
    requires_auth=bool(API_KEY),  # Set to True if using a private agent
    audio_interface=DefaultAudioInterface(),  # Use default system audio input/output
    callback_agent_response=lambda response: print(f"Agent: {response}"),
    callback_agent_response_correction=lambda original, corrected: print(f"Agent: {original} -> {corrected}"),
    callback_user_transcript=lambda transcript: print(f"User: {transcript}"),
    # Uncomment the line below to see latency measurements
    # callback_latency_measurement=lambda latency: print(f"Latency: {latency}ms"),
)

# Start the conversation session
def start_conversation():
    print("Starting conversation. Press Ctrl+C to end.")
   .start_session()

    # Handle clean shutdown on Ctrl+C
    signal.signal(signal.SIGINT, lambda sig, frame: conversation.end_session())

    # Wait for the session to end and print the conversation ID
    conversation_id = conversation.wait_for_session_end()
    print(f"Conversation ID: {conversation_id}")

# Run the script
if __name__ == "__main__":
    start_conversation()

Steps to Set Up and Run the Script

Install the Python SDK:
Install the ElevenLabs Python SDK and its dependencies:
```
pip install elevenlabs
pip install "elevenlabs[pyaudio]"
```
Note: The pyaudio package may require additional system dependencies. For example, on Debian-based systems, you can install them with:
```
sudo apt install portaudio19
```
Set Up Environment Variables:
- Replace AGENT_ID and API_KEY in the script with your actual agent ID and API key, or set them as environment variables:
```
export AGENT_ID="your_agent_id"
export ELEVENLABS_API_KEY="your_api_key"
```
Run the Script:
Save the script as conversation.py and run it:
```
python conversation.py
```
Interact with the Agent:
- The script will start a conversation session using your microphone and speakers.
- Speak into your microphone, and the agent will respond.

Key Features of the Script

Agent Responses: The agent's responses are printed to the console.
User Transcripts: Your spoken input is transcribed and displayed.
Session Management: The script handles clean shutdowns when you press Ctrl+C.
Custom Audio Interface: You can replace DefaultAudioInterface with a custom implementation if needed.

This script provides a basic framework for integrating ElevenLabs conversational AI into your Python application. You can expand it further by adding custom logic, integrating it with other systems, or modifying the callbacks to suit your needs.

pastel flame Jan 27, 2025, 1:48 AM

#

you didnt add the custom function calling example above

#how to use elevenlabs voices though the python sdk. I want to build my own function calling and jus