62 lines
1.4 KiB
TOML
62 lines
1.4 KiB
TOML
[project]
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name = "qwen3-asr"
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version = "1.0.1"
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description = "Qwen3-ASR API service with CUDA vLLM and CPU Rust backends"
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requires-python = ">=3.10,<3.13"
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dependencies = [
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"fastapi==0.128.0",
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"fastapi-offline==1.7.6",
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"uvicorn[standard]==0.40.0",
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"pydantic==2.12.0",
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"python-multipart==0.0.22",
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"funasr==1.3.1",
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"requests==2.32.5",
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"modelscope[framework]==1.34.0",
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"soundfile==0.13.1",
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"librosa==0.11.0",
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"websockets==16.0",
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"addict==2.4.0",
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"datasets==3.6.0",
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"scipy==1.15.3",
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"itntext==0.1.5",
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"python-dotenv==1.2.1",
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"asyncpg==0.31.0",
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"pypinyin==0.55.0",
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"huggingface_hub==0.34.0",
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"hdbscan==0.8.41",
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"loguru==0.7.2",
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"rich>=13.9,<14",
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"setuptools>=70.0.0,<81",
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"torch==2.11.0 ; sys_platform == 'linux'",
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"torchaudio==2.11.0 ; sys_platform == 'linux'",
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"torchvision==0.26.0 ; sys_platform == 'linux'",
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"transformers>=4.56.0,<5",
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"vllm==0.20.0 ; sys_platform == 'linux'",
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]
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[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[tool.hatch.build.targets.wheel]
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packages = []
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[tool.uv]
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package = false
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[tool.uv.sources]
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torch = [
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{ index = "pytorch-cu130", marker = "platform_system == 'Linux'" },
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]
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torchaudio = [
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{ index = "pytorch-cu130", marker = "platform_system == 'Linux'" },
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]
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torchvision = [
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{ index = "pytorch-cu130", marker = "platform_system == 'Linux'" },
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]
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[[tool.uv.index]]
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name = "pytorch-cu130"
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url = "https://download.pytorch.org/whl/cu130"
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explicit = true
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