VoAIce - An OpenAI GPT 4 API Voice Assistant

In this video, I demonstrate a Python script that combines the power of Azure Cognitive Services and OpenAI’s GPT API to create an interactive voice assistant. The script starts by listening for user input, transcribes it using Azure’s speech-to-text service, and then generates a relevant response using OpenAI’s GPT API. The response is then synthesized into speech using Azure’s text-to-speech service and played back to the user. The script keeps a history of the conversation to maintain context and allows users to exit the program with specific phrases. Watch this video to learn how to create your very own voice assistant using cutting-edge AI technology! The script uses GPT 4 in the demo, but if you look closely, you’ll see I also added the GPT 3.5 Turbo command but commented it out. You can easily switch to 3.5 if you don’t have access or don’t want to use GPT 4 yet. 👍 Checkout my GitHub repo for source code: 👌OpenAI Chat Completions documentation 😁 Microsoft Azure Cognitive Services for text to speech ✅ ✅ To run this script, you’ll need to meet the following system requirements: 1️⃣ Python: The script requires Python 3.6 or higher. Some of the libraries and syntax used may not be compatible with Python 2.x or older versions of Python 3.x. 2️⃣ Libraries and packages: You’ll need to install the following packages using pip or your preferred package manager: ✅ azure-cognitiveservices-speech: This package is required for speech recognition and text-to-speech capabilities provided by Azure Speech Services. pip install azure-cognitiveservices-speech ✅ openai: This package is needed to access the OpenAI API and interact with the GPT-4 language model. pip install openai ✅ FFmpeg: While not a Python package, FFmpeg is required for audio playback using the ffplay command in the play_audio function. You’ll need to download and install FFmpeg on your system. Installation instructions can be found on the official FFmpeg website #ai #azure #texttospeech #gpt4 #openai #python