pyproject.toml

[tool.poetry]
name = "face-characters-detection"
version = "0.1.0"
description = "A simple Face detection API made with Python, Flask, and Deepface capable of detecting emotion, race, gender, and ethnicity"
authors = ["Vetrichelvan"]
readme = "README.md"
packages = [{ include = "face_characters_detection" }]

[tool.poetry.dependencies]
python = "3.9.16"
tensorflow-macos = "^2.12.0"
tensorflow-metal = "^0.8.0"
fastapi = "^0.95.1"
flask = "^2.2.3"
pillow = "^9.5.0"
opencv-contrib-python = "^4.7.0.72"
pandas = "^2.0.0"
tqdm = "^4.65.0"
gdown = "^4.7.1"
pydantic = "^1.10.7"
python-dotenv = "^1.0.0"
flask-restx = "^1.1.0"
flask-cors = "^3.0.10"
uvicorn = "^0.21.1"
python-multipart = "^0.0.6"


[tool.poetry.group.dev.dependencies]
black = { extras = ["d"], version = "^23.3.0" }
isort = "^5.12.0"
pre-commit = "^3.2.2"
ruff = "^0.0.261"

[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"

[tool.black]
line-length = 120

[tool.isort]
profile = "black"
known_third_party = ["faag_cli"]

[tool.ruff]
src = ["."]
target-version = "py311"
fix = true
show-source = true
line-length = 120
select = ["E", "F", "F401", "N801", "N802", "N803", "N805", "N806"]

[tool.ruff.flake8-quotes]
inline-quotes = "double"
multiline-quotes = "double"
docstring-quotes = "double"


[tool.ruff.flake8-tidy-imports]
ban-relative-imports = "all"

[tool.ruff.flake8-type-checking]
strict = true

[tool.ruff.isort]
combine-as-imports = true
known-third-party = ["faag_cli"]

[tool.mypy]
strict = true