Turn responses into audio
Text-to-speech is another replaceable module. The assistant only needs a function that accepts text and plays or returns audio.
Simple cross-platform starting point
The starter lists pyttsx3 as an optional dependency. It uses speech capabilities available on the local operating system.
python -m pip install -r requirements-voice.txtimport pyttsx3
engine = pyttsx3.init()
engine.say("Your offline assistant now has a voice.")
engine.runAndWait()Keep TTS behind one function
def speak(text):
engine.say(text)
engine.runAndWait()That one boundary makes it easy to switch later to a higher-quality local neural TTS engine without rewriting the controller.
Audio quality varies by platform
System voices and drivers differ. Treat this first implementation as a functional checkpoint. Upgrade the voice only after input, memory, and tool safety are stable.
Checkpoint
A model response is spoken through your speakers while the core LLM remains local.
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