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Replaces the PyTorch/chatterbox-tts stack with direct ONNX inference using ResembleAI/chatterbox-turbo-ONNX fp16 weights. - engine.py: full rewrite — ONNX sessions, autoregressive KV-cache LM loop, voice conditionals cache via speech_encoder outputs - wyoming_handler.py: remove torch dep, use np.asarray for audio bytes - requirements-rocm-init.txt: onnxruntime-rocm replaces torch wheels - requirements-rocm.txt: drop chatterbox/torch deps, keep audio utils - Dockerfile.rocm: remove chatterbox-tts install step Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
15 lines
199 B
Plaintext
15 lines
199 B
Plaintext
# Audio processing
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numpy>=1.24.0,<2.0.0
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soundfile
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librosa==0.11.0
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# ONNX model dependencies
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transformers>=4.40.0
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huggingface-hub
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# Wyoming protocol
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wyoming>=1.5.4
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# Config / utilities
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PyYAML>=6.0
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