Thomas Hallock
7ff69449d6
Full music recommendation pipeline: listening history capture via webhook, Last.fm candidate discovery, iTunes preview download, CLAP audio embeddings (512-dim), pgvector cosine similarity recommendations, playlist generation with known/new track interleaving, and Music Assistant playback via HA. Includes: FastAPI app, SQLAlchemy models, Alembic migrations, Docker Compose with pgvector/pg17, status dashboard, and all API endpoints. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
32 lines
634 B
TOML
32 lines
634 B
TOML
[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[project]
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name = "haunt-fm"
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version = "0.1.0"
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description = "Personal music recommendation service"
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requires-python = ">=3.12"
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dependencies = [
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"fastapi>=0.115",
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"uvicorn[standard]>=0.34",
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"sqlalchemy[asyncio]>=2.0",
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"asyncpg>=0.30",
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"alembic>=1.14",
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"pydantic-settings>=2.7",
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"pgvector>=0.3",
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"httpx>=0.28",
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"jinja2>=3.1",
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"numpy>=1.26",
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"librosa>=0.10",
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"transformers>=4.48",
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"torch>=2.5",
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"soundfile>=0.12",
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]
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[project.optional-dependencies]
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dev = [
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"pytest>=8.0",
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"pytest-asyncio>=0.24",
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]
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