Ryan Malloy
3c4e06aa64
A telephone-themed bookend set, tuned by ear:
- speak: heartbeat entry ("Speak to Me" woven with warm MF tones), soft-chord
exit (pure sines, easy on the ears on repetition)
- listen: mf-dial start (the genuine Young Lust R1 operator routing sequence,
KP 0-4-4-1-8-3-1 ST) and machine end (Welcome to the Machine throb)
- mf-listen/mf-done gentler alternatives, and a call-waiting blip
listen() is now conversation-first: wait_for_silence defaults on with a 30s
cap, and the "go" tone plays only after the mic is live (warmup) so the first
word isn't clipped. VAD defaults tuned (aggressiveness 3, 2200ms silence,
400ms min-speech) after live testing showed the old values cut replies off on
brief background transients. Adds webrtcvad-wheels for the VAD path.
41 lines
997 B
TOML
41 lines
997 B
TOML
[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[project]
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name = "mcspeak"
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version = "2026.03.04.1"
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description = "Multi-engine TTS server with speech queue, exposed via FastMCP 3.0 Streamable HTTP"
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requires-python = ">=3.12"
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license = "MIT"
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authors = [{name = "Ryan Malloy", email = "ryan@supported.systems"}]
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dependencies = [
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"fastmcp>=3.0.0",
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"httpx",
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"kokoro-onnx>=0.5.0",
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"numpy",
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"onnxruntime",
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"pydantic-settings",
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"snac>=1.2.1",
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"soundfile",
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"torch",
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# webrtcvad-wheels is a drop-in fork of webrtcvad that ships pre-built
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# wheels for Python 3.12/3.13 — the original requires gcc to build from
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# source, which the slim Docker image doesn't have.
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"webrtcvad-wheels",
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"wyoming>=1.8.0",
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]
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[project.scripts]
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mcspeak = "mcspeak.__main__:main"
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[tool.hatch.build.targets.wheel]
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packages = ["src/mcspeak"]
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[tool.ruff]
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line-length = 100
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target-version = "py312"
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[tool.ruff.lint]
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select = ["E", "F", "I", "W"]
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