requirements-linux.txt

# This file was autogenerated by uv via the following command:
#    uv pip compile requirements.in -o requirements-linux.txt
-e ./agreement
-e ./annotation
-e ./chatgpt
-e ./data
-e ./evaluation
-e ./self_critique
absl-py==2.1.0
    # via
    #   keras
    #   rouge-score
    #   tensorboard
    #   tensorflow
    #   tf-slim
accelerate==0.31.0
    # via
    #   self-critique
    #   trl
aiohttp==3.9.5
    # via
    #   datasets
    #   fsspec
aiosignal==1.3.1
    # via aiohttp
altair==5.3.0
    # via streamlit
annotated-types==0.7.0
    # via pydantic
anyio==4.4.0
    # via
    #   httpx
    #   jupyter-server
    #   openai
argon2-cffi==23.1.0
    # via jupyter-server
argon2-cffi-bindings==21.2.0
    # via argon2-cffi
arrow==1.3.0
    # via isoduration
asttokens==2.4.1
    # via stack-data
astunparse==1.6.3
    # via tensorflow
async-lru==2.0.4
    # via jupyterlab
async-timeout==4.0.3
    # via self-critique
attrs==23.2.0
    # via
    #   aiohttp
    #   jsonschema
    #   referencing
babel==2.15.0
    # via jupyterlab-server
bcrypt==4.1.3
    # via streamlit-authenticator
beartype==0.18.5
    # via data
beautifulsoup4==4.12.3
    # via nbconvert
bert-score==0.3.13
    # via self-critique
bleach==6.1.0
    # via nbconvert
bleurt @ git+https://github.com/google-research/bleurt.git@cebe7e6f996b40910cfaa520a63db47807e3bf5c
    # via self-critique
blinker==1.8.2
    # via streamlit
cachetools==5.3.3
    # via streamlit
certifi==2024.6.2
    # via
    #   httpcore
    #   httpx
    #   requests
cffi==1.16.0
    # via argon2-cffi-bindings
charset-normalizer==3.3.2
    # via requests
click==8.1.7
    # via
    #   nltk
    #   streamlit
    #   typer
comm==0.2.2
    # via ipykernel
contourpy==1.2.1
    # via matplotlib
cycler==0.12.1
    # via matplotlib
datasets==2.12.0
    # via
    #   evaluate
    #   self-critique
    #   trl
debugpy==1.8.1
    # via ipykernel
decorator==5.1.1
    # via ipython
defusedxml==0.7.1
    # via nbconvert
dill==0.3.6
    # via
    #   datasets
    #   evaluate
    #   multiprocess
distro==1.9.0
    # via openai
docstring-parser==0.16
    # via
    #   simple-parsing
    #   tyro
evaluate==0.4.1
    # via self-critique
executing==2.0.1
    # via stack-data
extra-streamlit-components==0.1.71
    # via streamlit-authenticator
fastjsonschema==2.20.0
    # via nbformat
filelock==3.15.1
    # via
    #   huggingface-hub
    #   torch
    #   transformers
flatbuffers==24.3.25
    # via tensorflow
fonttools==4.53.0
    # via matplotlib
fqdn==1.5.1
    # via jsonschema
frozenlist==1.4.1
    # via
    #   aiohttp
    #   aiosignal
fsspec==2024.6.0
    # via
    #   datasets
    #   evaluate
    #   huggingface-hub
    #   torch
gast==0.5.4
    # via tensorflow
gitdb==4.0.11
    # via gitpython
gitpython==3.1.43
    # via streamlit
google-pasta==0.2.0
    # via tensorflow
grpcio==1.64.1
    # via
    #   tensorboard
    #   tensorflow
h11==0.14.0
    # via httpcore
h5py==3.11.0
    # via
    #   keras
    #   tensorflow
httpcore==1.0.5
    # via httpx
httpx==0.27.0
    # via
    #   jupyterlab
    #   openai
huggingface-hub==0.23.4
    # via
    #   accelerate
    #   datasets
    #   evaluate
    #   sentence-transformers
    #   tokenizers
    #   transformers
idna==3.7
    # via
    #   anyio
    #   httpx
    #   jsonschema
    #   requests
    #   yarl
ipykernel==6.29.4
    # via jupyterlab
ipython==8.25.0
    # via ipykernel
isoduration==20.11.0
    # via jsonschema
jedi==0.19.1
    # via ipython
jinja2==3.1.4
    # via
    #   altair
    #   jupyter-server
    #   jupyterlab
    #   jupyterlab-server
    #   nbconvert
    #   pydeck
    #   torch
joblib==1.4.2
    # via
    #   nltk
    #   scikit-learn
json5==0.9.25
    # via jupyterlab-server
jsonpointer==3.0.0
    # via jsonschema
jsonschema==4.22.0
    # via
    #   altair
    #   jupyter-events
    #   jupyterlab-server
    #   nbformat
jsonschema-specifications==2023.12.1
    # via jsonschema
jupyter-client==8.6.2
    # via
    #   ipykernel
    #   jupyter-server
    #   nbclient
jupyter-core==5.7.2
    # via
    #   ipykernel
    #   jupyter-client
    #   jupyter-server
    #   jupyterlab
    #   nbclient
    #   nbconvert
    #   nbformat
jupyter-events==0.10.0
    # via jupyter-server
jupyter-lsp==2.2.5
    # via jupyterlab
jupyter-server==2.14.1
    # via
    #   jupyter-lsp
    #   jupyterlab
    #   jupyterlab-server
    #   notebook-shim
jupyter-server-terminals==0.5.3
    # via jupyter-server
jupyterlab==4.2.2
jupyterlab-pygments==0.3.0
    # via nbconvert
jupyterlab-server==2.27.2
    # via jupyterlab
keras==3.3.3
    # via tensorflow
kiwisolver==1.4.5
    # via matplotlib
krippendorff==0.6.1
    # via
    #   agreement
    #   evaluation
libclang==18.1.1
    # via tensorflow
markdown==3.6
    # via tensorboard
markdown-it-py==3.0.0
    # via rich
markupsafe==2.1.5
    # via
    #   jinja2
    #   nbconvert
    #   werkzeug
matplotlib==3.9.0
    # via bert-score
matplotlib-inline==0.1.7
    # via
    #   ipykernel
    #   ipython
mdurl==0.1.2
    # via markdown-it-py
mistune==3.0.2
    # via nbconvert
ml-dtypes==0.3.2
    # via
    #   keras
    #   tensorflow
mpmath==1.3.0
    # via sympy
multidict==6.0.5
    # via
    #   aiohttp
    #   yarl
multiprocess==0.70.14
    # via
    #   datasets
    #   evaluate
namex==0.0.8
    # via keras
nbclient==0.10.0
    # via nbconvert
nbconvert==7.16.4
    # via jupyter-server
nbformat==5.10.4
    # via
    #   jupyter-server
    #   nbclient
    #   nbconvert
nest-asyncio==1.6.0
    # via ipykernel
networkx==3.3
    # via torch
nltk==3.8.1
    # via
    #   rouge-score
    #   self-critique
notebook-shim==0.2.4
    # via jupyterlab
numpy==1.26.4
    # via
    #   accelerate
    #   altair
    #   bert-score
    #   bleurt
    #   contourpy
    #   datasets
    #   evaluate
    #   evaluation
    #   h5py
    #   keras
    #   krippendorff
    #   matplotlib
    #   ml-dtypes
    #   opt-einsum
    #   pandas
    #   pyarrow
    #   pydeck
    #   rouge-score
    #   scikit-learn
    #   scipy
    #   self-critique
    #   sentence-transformers
    #   streamlit
    #   tensorboard
    #   tensorflow
    #   transformers
    #   trl
nvidia-cublas-cu12==12.1.3.1
    # via
    #   nvidia-cudnn-cu12
    #   nvidia-cusolver-cu12
    #   torch
nvidia-cuda-cupti-cu12==12.1.105
    # via torch
nvidia-cuda-nvrtc-cu12==12.1.105
    # via torch
nvidia-cuda-runtime-cu12==12.1.105
    # via torch
nvidia-cudnn-cu12==8.9.2.26
    # via torch
nvidia-cufft-cu12==11.0.2.54
    # via torch
nvidia-curand-cu12==10.3.2.106
    # via torch
nvidia-cusolver-cu12==11.4.5.107
    # via torch
nvidia-cusparse-cu12==12.1.0.106
    # via
    #   nvidia-cusolver-cu12
    #   torch
nvidia-nccl-cu12==2.20.5
    # via torch
nvidia-nvjitlink-cu12==12.5.40
    # via
    #   nvidia-cusolver-cu12
    #   nvidia-cusparse-cu12
nvidia-nvtx-cu12==12.1.105
    # via torch
openai==1.34.0
    # via
    #   chatgpt
    #   evaluation
opt-einsum==3.3.0
    # via tensorflow
optree==0.11.0
    # via keras
overrides==7.7.0
    # via jupyter-server
packaging==24.1
    # via
    #   accelerate
    #   altair
    #   bert-score
    #   datasets
    #   evaluate
    #   huggingface-hub
    #   ipykernel
    #   jupyter-server
    #   jupyterlab
    #   jupyterlab-server
    #   matplotlib
    #   nbconvert
    #   streamlit
    #   tensorflow
    #   transformers
pandas==2.2.2
    # via
    #   altair
    #   bert-score
    #   bleurt
    #   data
    #   datasets
    #   evaluate
    #   evaluation
    #   streamlit
pandocfilters==1.5.1
    # via nbconvert
parso==0.8.4
    # via jedi
pexpect==4.9.0
    # via ipython
pillow==10.3.0
    # via
    #   matplotlib
    #   sentence-transformers
    #   streamlit
platformdirs==4.2.2
    # via jupyter-core
prometheus-client==0.20.0
    # via jupyter-server
prompt-toolkit==3.0.47
    # via ipython
protobuf==4.25.3
    # via
    #   evaluation
    #   streamlit
    #   tensorboard
    #   tensorflow
psutil==5.9.8
    # via
    #   accelerate
    #   ipykernel
ptyprocess==0.7.0
    # via
    #   pexpect
    #   terminado
pure-eval==0.2.2
    # via stack-data
pyarrow==16.1.0
    # via
    #   datasets
    #   evaluation
    #   streamlit
pycparser==2.22
    # via cffi
pydantic==2.7.4
    # via openai
pydantic-core==2.18.4
    # via pydantic
pydeck==0.9.1
    # via streamlit
pygments==2.18.0
    # via
    #   ipython
    #   nbconvert
    #   rich
pyjwt==2.8.0
    # via streamlit-authenticator
pyparsing==3.1.2
    # via matplotlib
python-dateutil==2.9.0.post0
    # via
    #   arrow
    #   jupyter-client
    #   matplotlib
    #   pandas
python-json-logger==2.0.7
    # via jupyter-events
pytz==2024.1
    # via pandas
pyyaml==6.0.1
    # via
    #   accelerate
    #   annotation
    #   datasets
    #   huggingface-hub
    #   jupyter-events
    #   streamlit-authenticator
    #   transformers
pyzmq==26.0.3
    # via
    #   ipykernel
    #   jupyter-client
    #   jupyter-server
ratelimit==2.2.1
    # via
    #   chatgpt
    #   evaluation
referencing==0.35.1
    # via
    #   jsonschema
    #   jsonschema-specifications
    #   jupyter-events
regex==2024.5.15
    # via
    #   nltk
    #   tiktoken
    #   transformers
requests==2.32.3
    # via
    #   bert-score
    #   datasets
    #   evaluate
    #   huggingface-hub
    #   jupyterlab-server
    #   responses
    #   streamlit
    #   tensorflow
    #   tiktoken
    #   transformers
responses==0.18.0
    # via
    #   datasets
    #   evaluate
rfc3339-validator==0.1.4
    # via
    #   jsonschema
    #   jupyter-events
rfc3986-validator==0.1.1
    # via
    #   jsonschema
    #   jupyter-events
rich==13.7.1
    # via
    #   keras
    #   streamlit
    #   typer
    #   tyro
rouge-score==0.1.2
    # via self-critique
rpds-py==0.18.1
    # via
    #   jsonschema
    #   referencing
ruff==0.4.9
safetensors==0.4.3
    # via
    #   accelerate
    #   transformers
scikit-learn==1.5.0
    # via
    #   agreement
    #   chatgpt
    #   evaluation
    #   self-critique
    #   sentence-transformers
scipy==1.13.1
    # via
    #   agreement
    #   bleurt
    #   evaluation
    #   scikit-learn
    #   sentence-transformers
send2trash==1.8.3
    # via jupyter-server
sentence-transformers==3.0.1
    # via evaluation
sentencepiece==0.2.0
    # via
    #   bleurt
    #   evaluation
setuptools==70.0.0
    # via
    #   jupyterlab
    #   tensorboard
    #   tensorflow
shellingham==1.5.4
    # via typer
shtab==1.7.1
    # via tyro
simple-parsing==0.1.5
    # via
    #   evaluation
    #   self-critique
six==1.16.0
    # via
    #   asttokens
    #   astunparse
    #   bleach
    #   google-pasta
    #   python-dateutil
    #   rfc3339-validator
    #   rouge-score
    #   tensorboard
    #   tensorflow
smmap==5.0.1
    # via gitdb
sniffio==1.3.1
    # via
    #   anyio
    #   httpx
    #   openai
soupsieve==2.5
    # via beautifulsoup4
stack-data==0.6.3
    # via ipython
streamlit==1.35.0
    # via
    #   annotation
    #   extra-streamlit-components
    #   streamlit-authenticator
streamlit-authenticator==0.3.2
    # via annotation
sympy==1.12.1
    # via torch
tenacity==8.3.0
    # via streamlit
tensorboard==2.16.2
    # via
    #   evaluation
    #   tensorflow
tensorboard-data-server==0.7.2
    # via tensorboard
tensorflow==2.16.1
    # via
    #   bleurt
    #   tf-keras
termcolor==2.4.0
    # via tensorflow
terminado==0.18.1
    # via
    #   jupyter-server
    #   jupyter-server-terminals
tf-keras==2.16.0
    # via self-critique
tf-slim==1.1.0
    # via bleurt
threadpoolctl==3.5.0
    # via scikit-learn
tiktoken==0.7.0
    # via chatgpt
tinycss2==1.3.0
    # via nbconvert
tokenizers==0.19.1
    # via transformers
toml==0.10.2
    # via streamlit
toolz==0.12.1
    # via altair
torch==2.3.1
    # via
    #   accelerate
    #   bert-score
    #   evaluation
    #   self-critique
    #   sentence-transformers
    #   trl
tornado==6.4.1
    # via
    #   ipykernel
    #   jupyter-client
    #   jupyter-server
    #   jupyterlab
    #   streamlit
    #   terminado
tqdm==4.66.4
    # via
    #   bert-score
    #   chatgpt
    #   datasets
    #   evaluate
    #   evaluation
    #   huggingface-hub
    #   nltk
    #   openai
    #   self-critique
    #   sentence-transformers
    #   transformers
traitlets==5.14.3
    # via
    #   comm
    #   ipykernel
    #   ipython
    #   jupyter-client
    #   jupyter-core
    #   jupyter-events
    #   jupyter-server
    #   jupyterlab
    #   matplotlib-inline
    #   nbclient
    #   nbconvert
    #   nbformat
transformers==4.41.2
    # via
    #   bert-score
    #   data
    #   evaluation
    #   self-critique
    #   sentence-transformers
    #   trl
trl==0.9.4
    # via
    #   evaluation
    #   self-critique
typer==0.12.3
    # via
    #   chatgpt
    #   evaluation
    #   self-critique
types-python-dateutil==2.9.0.20240316
    # via arrow
typing-extensions==4.12.2
    # via
    #   annotation
    #   huggingface-hub
    #   openai
    #   optree
    #   pydantic
    #   pydantic-core
    #   simple-parsing
    #   streamlit
    #   tensorflow
    #   torch
    #   typer
    #   tyro
tyro==0.8.4
    # via trl
tzdata==2024.1
    # via pandas
uri-template==1.3.0
    # via jsonschema
urllib3==2.2.1
    # via
    #   requests
    #   responses
watchdog==4.0.1
    # via
    #   annotation
    #   streamlit
wcwidth==0.2.13
    # via prompt-toolkit
webcolors==24.6.0
    # via jsonschema
webencodings==0.5.1
    # via
    #   bleach
    #   tinycss2
websocket-client==1.8.0
    # via jupyter-server
werkzeug==3.0.3
    # via tensorboard
wheel==0.43.0
    # via astunparse
wrapt==1.16.0
    # via tensorflow
xxhash==3.4.1
    # via
    #   datasets
    #   evaluate
yarl==1.9.4
    # via aiohttp