attention_layer_graph / requirements.txt
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# Core app
streamlit>=1.32
# Numerics / data
numpy>=1.24
pandas>=2.0
scipy>=1.10
# ML utilities used in app.py
scikit-learn>=1.2 # needed for KMeans(n_init="auto"), NearestNeighbors, pairwise_distances, etc.
umap-learn>=0.5.4
# Graph + viz
networkx>=3.1
plotly>=5.18
# HF / model runtime
torch>=2.1
transformers>=4.40
accelerate>=0.30
safetensors>=0.4
# Tokenizer/runtime helpers (often needed by HF tokenizers/models)
sentencepiece>=0.1.99
tiktoken>=0.6.0
# ---------------- OPTIONAL (your code try/excepts these) ----------------
hdbscan>=0.8.33
python-igraph>=0.11.4
leidenalg>=0.10.2
pyvista>=0.43.0