pyproject.toml

[build-system]
requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "finllm-sentiment"
version = "0.1.0"
description = "Fine-tuning LLMs for Financial Sentiment Analysis with LoRA/QLoRA"
readme = "README.md"
license = {text = "MIT"}
requires-python = ">=3.9"
authors = [
    {name = "Akram Boudouaour", email = "boudouaouraccram@gmail.com"}
]
keywords = ["llm", "fine-tuning", "lora", "finance", "sentiment", "nlp", "transformers"]
classifiers = [
    "Development Status :: 3 - Alpha",
    "Intended Audience :: Science/Research",
    "License :: OSI Approved :: MIT License",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.9",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
]

dependencies = [
    "torch>=2.0.0",
    "transformers>=4.36.0",
    "datasets>=2.14.0",
    "accelerate>=0.25.0",
    "peft>=0.7.0",
    "bitsandbytes>=0.41.0",
    "trl>=0.7.0",
    "scikit-learn>=1.3.0",
    "pandas>=2.0.0",
    "pyyaml>=6.0.0",
]

[project.optional-dependencies]
dev = [
    "pytest>=7.4.0",
    "pytest-cov>=4.1.0",
    "black>=23.0.0",
    "ruff>=0.1.0",
]
tracking = [
    "wandb>=0.16.0",
]
serve = [
    "fastapi>=0.109.0",
    "uvicorn>=0.27.0",
    "streamlit>=1.28.0",
]

[project.urls]
Homepage = "https://github.com/Accrame/finllm-sentiment"
Repository = "https://github.com/Accrame/finllm-sentiment"

[tool.setuptools.packages.find]
where = ["."]
include = ["src*"]

[tool.black]
line-length = 100
target-version = ["py39", "py310", "py311"]

[tool.ruff]
line-length = 100
select = ["E", "F", "I", "N", "W", "UP"]
ignore = ["E501"]
target-version = "py39"

[tool.pytest.ini_options]
testpaths = ["tests"]
python_files = ["test_*.py"]
addopts = "-v --tb=short"