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Ttsflow

Automation notebooks share the same plumbing: fetch a job spec, run it, forward the keyword arguments. This package installs that plumbing; the job spec itself stays wherever it belongs.

Standard library only - no compiled extensions, no platform wheels.

from ttsflow import run

run(url="https://example/internal/spec.py",
        job="demo", budget=60)

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Release files for ttsflow 0.1.0

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