Build a Voice-Enabled Chatbot with ElevenLabs and OpenAI

Voice-enabled chatbots are increasingly popular for customer support, personal assistants, and hobby projects. By integrating voice capabilities, these chatbots provide a more natural, hands-free user experience. With the advancement of large language models (LLMs) and high-quality text-to-speech (TTS) services, it's now possible to create a voice-first assistant in just a few hours.

This guide demonstrates how to combine OpenAI's GPT-4 for conversational understanding and ElevenLabs for realistic speech synthesis. By the end, users will have a Python script that listens to audio input, transcribes it using OpenAI's GPT-4, and then speaks the response back using ElevenLabs' voice cloning technology.

To get started, you'll need Python 3.9 or later. Install the required packages using pip:

pip install openai requests sounddevice numpy scipy

If you prefer pyaudio instead of sounddevice, replace sounddevice with pyaudio in the installation command.

Next, obtain API keys from both OpenAI and ElevenLabs and secure them, for example, by setting environment variables:

export OPENAI_API_KEY = sk-...

export ELEVEN_API_KEY = ...

The script below outlines the process of creating a voice-enabled chatbot:

1. Install the necessary packages:

pip install openai requests sounddevice numpy scipy

2. Set up your environment variables:

export OPENAI_API_KEY = sk-...

export ELEVEN_API_KEY = ...

3. Use the provided Python script to record audio, transcribe it with GPT-4, and synthesize the response using ElevenLabs.