pyproject.toml

[tool.poetry]
name = "groq-qa-generator"
version = "1.2.1"
description = "Groq QA automates question-answer generation from text with LLaMA 3 and Hugging Face to fine-tune large language models (LLMs)."
authors = ["Jordan Cassady <jordan.cassady@gmail.com>"]
readme = "README.md"
license = "MIT"
include = [
    "src/groq_qa_generator/data/*",           # Include all files in the data directory
    "src/groq_qa_generator/data/prompts/*",   # Include all prompt files
    "src/groq_qa_generator/config.json",       # Include the configuration file
]

[tool.poetry.dependencies]
python = "^3.10"
tiktoken = "^0.7.0"
groq = "^0.11.0"
python-dotenv = "^1.0.1"
datasets = "^3.0.1"
huggingface-hub = "^0.25.2"

[tool.poetry.scripts]
# Entry point for the command-line interface (CLI) script
groq-qa = "groq_qa_generator.cli:main"

[tool.poetry.group.dev.dependencies]
pytest = "^8.3.3"
black = "^24.8.0"
sphinx = "^8.0.2"
sphinx-rtd-theme = "^3.0.0"

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