For: Anyone
Project Goal
I wanted to be able to ask GPT a question via my Google Home system. The goal was to create a streamlined system that uses OpenAI’s GPT model to process user requests and send the response as a notification to a Google Home device. This allows for voice-activated interaction with GPT, effectively turning a Google Home into a smart assistant powered by advanced language processing.
Unfortunately Google has discontinued some of the technology that made it possible, so now just waiting for Gemini to be integrated into Google Home! LinkedIn post
How it was built
The core of the project is a Python script that handles the following steps: it first uses the Flask framework to receive a user’s text input via HTTP request. This input is then passed to the OpenAI API, which processes the message using the ‘gpt-3.5-turbo’ model, and the response is extracted. The script then uses the JOIN API to send the GPT-generated response as a push notification to the designated Google Home device. The system relies on environment variables for secure API key management, and it implements a clear data flow from the user request to the final audio output on the Google Home device. Important to note, the prompt to the GPT model includes a request to communicate briefly and concisely, so the response is suitable to be read by a smart speaker.
Technologies used
- Python: For scripting the core logic.
- Tasker: Tool that helps with automation on Android devices
- OpenAI API: To process natural language requests with the ‘gpt-3.5-turbo’ model.
- Flask: To create a simple API endpoint to receive user requests.
- JOIN API: To send push notifications to a Google Home device.
- HTTP requests: To communicate with the APIs
- Environment variables: For secure API key management.