ScientificArgumentRecommender / requirements.txt
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new demo setup with langchain retriever
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gradio==4.44.1
prettytable==3.10.0
beautifulsoup4==4.12.3
# numpy 2.0.0 breaks the code
numpy==1.25.2
scipy==1.13.0
arxiv==2.1.3
pyrootutils>=1.0.0,<1.1.0
########## from root requirements ##########
# --------- pytorch-ie --------- #
pytorch-ie>=0.29.6,<0.32.0
pie-datasets>=0.10.5,<0.11.0
pie-modules>=0.14.0,<0.15.0
# --------- models -------- #
adapters>=0.1.2,<0.2.0
# ADU retrieval (and demo, in future):
langchain>=0.3.0,<0.4.0
langchain-core>=0.3.0,<0.4.0
langchain-community>=0.3.0,<0.4.0
# we use QDrant as vectorstore backend
langchain-qdrant>=0.1.0,<0.2.0
qdrant-client>=1.12.0,<2.0.0
# 0.26 seems to be broken when used with adapters, see https://github.com/adapter-hub/adapters/issues/748
huggingface_hub<0.26.0 # 0.26 seems to be broken
# to to handle segmented entities (if HANDLE_PARTS_OF_SAME=True)
networkx>=3.0.0,<4.0.0
# --------- config --------- #
hydra-core>=1.3.0
# --------- dev --------- #
pre-commit # hooks for applying linters on commit