requirements-pytorch.txt

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# PyTorch backend (CUDA / MPS / CPU)
#
# torch and torchaudio MUST share a minor version. dots.tts checks the pair at
# IMPORT and raises RuntimeError when they differ, so a floating torch takes the
# dots engine out while every other engine keeps working — which reads in the
# logs as "dots is broken", not "the pin drifted". torchaudio's newest cu130
# build is 2.11.0, so torch is pinned down to match rather than floating to the
# newest (2.14). Bump BOTH together or not at all.
torch==2.11.0
torchaudio==2.11.0
qwen-tts>=0.1.1

# VoxCPM engine (multi-engine manager path). Requires Python <3.13.
voxcpm>=2.0.3

# dots.tts engine. MUST be installed after torch — its own `torch>=2.8.0` will
# happily resolve a newer torch and break the pair above. It also pulls numpy>=2
# while funasr (a voxcpm dependency) declares numpy<2; funasr imports and runs on
# numpy 2.5 — verified on the deployment host, not assumed — so `pip check` will
# report that one conflict and it is expected.
dots.tts==0.3.1