osobhandClaude Opus 4.7
c3eddc8873
Streams 16-bit little-endian PCM (24 kHz mono) as Mimi produces chunks. Wraps Generator::generate_streaming via spawn_blocking + tokio::sync::mpsc bridge into an axum Body::from_stream response. Same JSON request format as /v1/tts; Content-Type is audio/L16; rate=24000; channels=1 per RFC 2586. First-byte (first audio chunk) latency on Metal: ~880 ms vs ~6 s wall for the non-streaming /v1/tts path — 6.8x faster perceived UX, the difference between "the app froze" and "the app started speaking." Caveat: streaming endpoint does NOT apply post-processing or the inline watermarker (those operate on the full utterance). For watermarked output use /v1/tts. A chunked AudioSeal port is the natural follow-up for streaming watermarking. Adds futures-util as a dev-dependency for the Stream trait. Co-Authored-By: Claude Opus 4.7 (1M context) <[email protected]>
171 lines
4.5 KiB
TOML
171 lines
4.5 KiB
TOML
[package]
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name = "rtx-csm"
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version.workspace = true
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edition.workspace = true
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authors.workspace = true
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license.workspace = true
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repository.workspace = true
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description = "Rust-native port of Sesame CSM-1B (Conversational Speech Model) on candle + moshi"
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# NOTE: candle-transformers 0.8 (workspace pin) does NOT contain the `csm`
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# model module — it was added in 0.9.0. We deliberately pull candle 0.9 + moshi
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# 0.6 directly here, NOT via workspace deps. Cargo will compile candle 0.8 (for
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# the rest of rustytorch) and candle 0.9 (for rtx-csm) side-by-side. No Tensor
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# types are shared across that boundary today.
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[dependencies]
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# Candle 0.9 — required for the csm model module
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candle-core = { version = "0.9.1", default-features = false }
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candle-nn = { version = "0.9.1", default-features = false }
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candle-transformers = { version = "0.9.1", default-features = false }
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# Mimi neural audio codec: we use the HF-compatible `candle-transformers::models::mimi`
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# (not the `moshi` crate, which expects different weight-key naming).
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# Tokenizer (Llama-3.2 BPE)
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tokenizers = { version = "0.20", default-features = false, features = ["onig"] }
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# HF Hub asset resolution (synchronous via ureq + rustls)
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hf-hub = { version = "0.5", default-features = false, features = ["ureq", "rustls-tls"] }
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# Audio I/O
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hound = "3.5"
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symphonia = { version = "0.5", features = ["all"] }
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rubato = "0.15"
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# Loudness normalization (EBU R128 / ITU-R BS.1770-4)
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ebur128 = "0.1"
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# In-process ASR via whisper.cpp bindings. Optional via the `asr` feature
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# because it pulls a C++ build (cmake + clang). Provides Metal acceleration.
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whisper-rs = { version = "0.16", default-features = false, optional = true }
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# Text normalization
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unicode-normalization = "0.1"
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regex = "1"
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# Weight loading
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safetensors = "0.4"
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# Errors / logging / serde
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anyhow.workspace = true
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thiserror.workspace = true
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tracing.workspace = true
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serde.workspace = true
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serde_json.workspace = true
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# Numerics
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half = "2.3"
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rand = "0.8"
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bytemuck = { version = "1.14", features = ["derive"] }
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[dev-dependencies]
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clap = { version = "4.5", features = ["derive"] }
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tempfile = "3.0"
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approx = "0.5"
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tracing-subscriber = "0.3"
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# For the TTS HTTP server example.
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axum = { version = "0.7", features = ["multipart"] }
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tokio = { version = "1", features = ["macros", "rt-multi-thread", "signal", "sync"] }
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tower = "0.5"
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tower-http = { version = "0.6", features = ["trace"] }
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# HTTP client for the tts_server_bench example.
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reqwest = { version = "0.12", default-features = false, features = ["json", "multipart", "rustls-tls"] }
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# Streaming Stream trait for tts_server's /v1/tts_stream endpoint.
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futures-util = "0.3"
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[features]
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default = ["cpu"]
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cpu = []
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cuda = ["candle-core/cuda", "candle-nn/cuda", "candle-transformers/cuda"]
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metal = ["candle-core/metal", "candle-nn/metal", "candle-transformers/metal"]
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accelerate = ["candle-core/accelerate", "candle-nn/accelerate"]
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mkl = ["candle-core/mkl", "candle-nn/mkl"]
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# In-process Whisper ASR via whisper.cpp bindings. Brings in C++ build deps.
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asr = ["dep:whisper-rs"]
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asr-metal = ["asr", "whisper-rs/metal"]
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asr-cuda = ["asr", "whisper-rs/cuda"]
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[[example]]
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name = "generate"
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path = "examples/generate.rs"
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[[example]]
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name = "bench"
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path = "examples/bench.rs"
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[[example]]
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name = "quantize"
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path = "examples/quantize.rs"
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[[example]]
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name = "inspect_gguf"
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path = "examples/inspect_gguf.rs"
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[[example]]
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name = "qmatmul_repro"
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path = "examples/qmatmul_repro.rs"
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[[example]]
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name = "qmm_layer_diff"
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path = "examples/qmm_layer_diff.rs"
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[[example]]
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name = "lora_train_step"
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path = "examples/lora_train_step.rs"
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[[example]]
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name = "forward_loss_demo"
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path = "examples/forward_loss_demo.rs"
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[[example]]
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name = "lora_finetune_step"
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path = "examples/lora_finetune_step.rs"
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[[example]]
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name = "tts_server"
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path = "examples/tts_server.rs"
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[[example]]
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name = "lora_train"
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path = "examples/lora_train.rs"
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[[example]]
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name = "audioseal_inspect"
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path = "examples/audioseal_inspect.rs"
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[[example]]
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name = "audioseal_convert"
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path = "examples/audioseal_convert.rs"
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[[example]]
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name = "audioseal_demo"
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path = "examples/audioseal_demo.rs"
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[[example]]
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name = "audioseal_apply"
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path = "examples/audioseal_apply.rs"
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[[example]]
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name = "wavlm_sv_convert"
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path = "examples/wavlm_sv_convert.rs"
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[[example]]
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name = "wavlm_sv_demo"
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path = "examples/wavlm_sv_demo.rs"
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[[example]]
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name = "wavlm_sv_inspect"
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path = "examples/wavlm_sv_inspect.rs"
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[[example]]
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name = "pipeline"
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path = "examples/pipeline.rs"
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[[example]]
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name = "generate_long"
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path = "examples/generate_long.rs"
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[[example]]
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name = "tts_server_bench"
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path = "examples/tts_server_bench.rs"
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