hf-backend / requirements.txt
IDKHowToCodeFr's picture
feat: integrate semantic_backend v1.1 with CPU torch and health root
aeebd04
Raw History Blame Contribute Delete
3.78 kB
--extra-index-url https://download.pytorch.org/whl/cpu
# This file was autogenerated by uv via the following command:
# uv pip compile requirements.in -o requirements.txt --python-version 3.11 --python-platform linux
annotated-doc==0.0.5
# via
# fastapi
# typer
annotated-types==0.8.0
# via pydantic
anyio==4.15.1
# via
# httpx2
# starlette
# watchfiles
click==8.5.0
# via
# huggingface-hub
# uvicorn
cloudpickle==3.1.2
# via joblib
fastapi==0.162.0
# via
# -r requirements.in
# semantic-backend
filelock==3.32.3
# via
# huggingface-hub
# torch
fsspec==2026.7.0
# via
# huggingface-hub
# torch
h11==0.16.0
# via
# httpcore2
# uvicorn
hf-xet==1.7.0
# via huggingface-hub
httpcore2==2.3.0
# via httpx2
httptools==0.9.0
# via uvicorn
httpx2==2.3.0
# via huggingface-hub
huggingface-hub==2.3.0
# via
# sentence-transformers
# tokenizers
# transformers
idna==3.4
# via
# anyio
# httpx2
jinja2==3.1.6
# via torch
joblib==1.6.0
# via
# scikit-learn
# semantic-backend
markdown-it-py==4.2.0
# via rich
markupsafe==3.0.3
# via jinja2
mdurl==0.1.2
# via markdown-it-py
mpmath==1.3.0
# via sympy
narwhals==2.27.1
# via scikit-learn
networkx==3.6.1
# via torch
numpy==2.4.6
# via
# pandas
# scikit-learn
# scipy
# semantic-backend
# sentence-transformers
# transformers
opentelemetry-api==1.45.1
# via fastapi
packaging==24.1
# via
# huggingface-hub
# transformers
pandas==3.1.0
# via semantic-backend
pydantic==2.14.1
# via
# -r requirements.in
# fastapi
pydantic-core==2.50.1
# via pydantic
pygments==2.21.0
# via rich
python-dateutil==3.0.0
# via pandas
python-dotenv==1.2.4
# via uvicorn
python-multipart==0.0.32
# via semantic-backend
pyyaml==6.0.3
# via
# huggingface-hub
# transformers
# uvicorn
regex==2026.9.29
# via transformers
rich==15.0.0
# via typer
safetensors==0.8.0
# via transformers
scikit-learn==1.9.1
# via
# semantic-backend
# sentence-transformers
scipy==1.17.1
# via
# scikit-learn
# sentence-transformers
semantic-backend @ git+https://github.com/rachit-mangawa/Semantic-Comment-Analyze.git@a123207a1239cb9ff59a09e597fe80dfc635aeec#subdirectory=backend
# via -r requirements.in
sentence-transformers==6.2.0
# via semantic-backend
setuptools==78.1.0
# via torch
shellingham==1.5.4
# via typer
six==1.17.0
# via python-dateutil
starlette==1.10.0
# via
# -r requirements.in
# fastapi
sympy==1.14.0
# via torch
threadpoolctl==3.7.0
# via scikit-learn
tokenizers==0.23.3
# via
# sentence-transformers
# transformers
torch==2.14.1+cpu
# via
# semantic-backend
# sentence-transformers
tqdm==4.66.5
# via
# huggingface-hub
# sentence-transformers
# transformers
transformers==5.20.2
# via
# semantic-backend
# sentence-transformers
truststore==0.10.5
# via
# httpcore2
# httpx2
typer==0.27.3
# via transformers
typing-extensions==4.16.0
# via
# anyio
# fastapi
# huggingface-hub
# opentelemetry-api
# pydantic
# pydantic-core
# sentence-transformers
# starlette
# torch
# typing-inspection
typing-inspection==0.4.4
# via
# fastapi
# pydantic
tzdata==2026.5
# via python-dateutil
uvicorn==0.54.0
# via
# -r requirements.in
# semantic-backend
uvloop==0.23.0
# via uvicorn
watchfiles==1.3.0
# via uvicorn
websockets==17.3
# via uvicorn