HypePack / pyproject.toml
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updated to faster models, now uses mini, mini, and haiku
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[tool.poetry]
name = "hypecast"
version = "0.1.0"
description = "AI-powered career matching system"
authors = ["Leo Walker <leowalker89@gmail.com>"]
packages = [
{ include = "hype_pack" }
]
[tool.poetry.dependencies]
python = ">3.9.7,<3.13"
langchain = ">=0.3.0,<0.4.0"
langchain-core = ">=0.3.15"
langchain-openai = ">=0.2.0"
langchain-anthropic = ">=0.2.0,<0.3.0"
langchain-groq = ">=0.2.1"
langchain-google-genai = "^2.0.5"
langchain-mistralai = ">=0.0.5"
langchain-fireworks = ">=0.2.1"
langchain-community = ">=0.3.7,<0.4.0"
langchain-xai = "^0.1.0"
langgraph = ">=0.0.1"
pydantic = ">=2.0.0,<3.0.0"
python-dotenv = "^1.0.0"
openai = ">=1.6.1"
lmnt = "^0.1.0"
pydub = "^0.25.1"
pypdf = ">=3.0.0"
streamlit = "1.39.0"
[tool.poetry.group.dev.dependencies]
ipykernel = "^6.29.5"
notebook = "^7.2.2"
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"