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ChatGPT-OpenAI-Smart-Speaker

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Basic Information

This repository provides code, documentation and hardware guidance to build a speech-enabled smart speaker that uses OpenAI for conversational responses and Google Speech Recognition or Picovoice for speech input. It offers scripts to run on a desktop (chat.py and test.py) and a more advanced Raspberry Pi script (pi.py) that offloads wake word detection to a custom Picovoice model. The project includes detailed Raspberry Pi setup steps, a recommended equipment list including ReSpeaker and USB speakers, dependency installation instructions, and examples of configuring environment variables for OpenAI, Picovoice and Tavily. The README describes how the system listens for a wake word, sends recorded prompts to OpenAI, generates text responses and converts them to audio using gTTS or a text-to-speech model, making it a hands-free conversational device for prototyping and personal use.

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App URL
https://github.com/Olney1/ChatGPT-OpenAI-Smart-Speaker
Github Repository
https://github.com/Olney1/ChatGPT-OpenAI-Smart-Speaker/blob/main/README.md

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App Details

Features
Speech recognition and microphone input support via Google SpeechRecognition and PyAudio. Text-to-speech output using gTTS and audio playback support for desktop and Raspberry Pi. Multiple runnable scripts: chat.py for always-on desktop use, test.py for activation-word behavior, and pi.py optimized for Raspberry Pi with Picovoice wake-word integration. Hardware and accessory support including ReSpeaker 4-Mic Array, APA102 LED control and Seeed voice card guidance. Customization of OpenAI model selection, language and temperature for responses. Integration points for Tavily search agent and Picovoice access keys. Installation and troubleshooting steps for PortAudio, ffmpeg, GStreamer, and other native dependencies. Instructions for setting environment variables and adding the project to Pi boot sequence are provided.
Use Cases
The project helps users prototype and build a personal voice assistant that turns spoken queries into OpenAI-generated responses and audio replies. It lowers the barrier to creating a hands-free interface by providing ready-made scripts, dependency lists and step-by-step Raspberry Pi setup instructions. The Picovoice wake-word integration improves reliability and efficiency for continuous listening on constrained hardware. Customization options let users change language, voice model and OpenAI engine to suit cost, latency or capability needs. Hardware guidance and LED integration enable a more polished physical device. Troubleshooting tips and notes on common Pi issues help reduce setup friction, making the repository useful for hobbyists, educators and makers building conversational hardware projects.

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