pyproject.toml

[project]
name = "dukaan-saathi"
version = "0.1.0"
description = "Hindi-first voice + image inventory & udhaar ledger assistant for a kirana shop (Gemma-4 via llama.cpp + deepagents)"
readme = "README.md"
requires-python = ">=3.11,<3.13"
dependencies = [
    # --- UI ---
    "gradio>=4.44",
    # --- Speech ---
    "faster-whisper>=1.0.3", # STT (CTranslate2, bundles ffmpeg via PyAV; numpy in)
    "torch>=2.4", # TTS backend (veena / mms / parler)
    "torchaudio>=2.4",
    "soundfile>=0.12.1",
    "snac>=1.2", # SNAC neural-audio decoder for the default Veena TTS engine
    "scipy>=1.11", # resample_poly (avoid librosa/numba/numpy headaches)
    "numpy>=1.26,<2.2",
    # --- Vision / misc ---
    "pillow>=10.2",
    "python-dotenv>=1.0",
    "requests>=2.31",
    "httpx>=0.27",
    "openai>=1.40", # OpenAI-compatible client (direct vision/OCR calls)
    # --- Agentic framework ---
    "deepagents", # LangChain deep-agent framework (planning + subagents)
    "langchain-openai>=0.2", # ChatOpenAI -> local llama-server
    "langgraph>=0.2",
    "transformers>=5.10.1",
    "uroman>=1.3.1.1",
    "rapidfuzz>=3.14.5",
    "holidays>=0.98",
]

[dependency-groups]
dev = [
    "pytest>=8.0",
]

[tool.pytest.ini_options]
addopts = "-q"
testpaths = ["tests"]

[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[tool.hatch.build.targets.wheel]
packages = ["dukaan"]