requirements-dev.lock

# generated by rye
# use `rye lock` or `rye sync` to update this lockfile
#
# last locked with the following flags:
#   pre: false
#   features: []
#   all-features: false
#   with-sources: false
#   generate-hashes: false
#   universal: false

-e file:.
aiofiles==23.2.1
    # via gradio
aiohappyeyeballs==2.4.0
    # via aiohttp
aiohttp==3.10.5
    # via datasets
    # via fsspec
aiosignal==1.3.1
    # via aiohttp
annotated-types==0.7.0
    # via pydantic
anyio==4.4.0
    # via gradio
    # via groq
    # via httpx
    # via jupyter-server
    # via openai
    # via starlette
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
async-lru==2.0.4
    # via jupyterlab
attrs==24.2.0
    # via aiohttp
    # via jsonschema
    # via referencing
audioread==3.0.1
    # via librosa
babel==2.16.0
    # via jupyterlab-server
backoff==2.2.1
    # via posthog
beautifulsoup4==4.12.3
    # via gdown
    # via nbconvert
bleach==6.1.0
    # via nbconvert
certifi==2024.8.30
    # via httpcore
    # via httpx
    # via requests
cffi==1.17.1
    # via argon2-cffi-bindings
    # via soundfile
charset-normalizer==3.3.2
    # via requests
click==8.1.7
    # via typer
    # via uvicorn
colorama==0.4.6
    # via hays-t
comm==0.2.2
    # via ipykernel
contourpy==1.3.0
    # via matplotlib
cycler==0.12.1
    # via matplotlib
datasets==2.21.0
    # via hays-t
debugpy==1.8.5
    # via ipykernel
decorator==5.1.1
    # via ipython
    # via librosa
defusedxml==0.7.1
    # via nbconvert
dill==0.3.8
    # via datasets
    # via multiprocess
diskcache==5.6.3
    # via llama-cpp-python
distro==1.9.0
    # via groq
    # via openai
docx==0.2.4
    # via hays-t
executing==2.1.0
    # via stack-data
fastapi==0.114.2
    # via gradio
fastjsonschema==2.20.0
    # via nbformat
ffmpy==0.4.0
    # via gradio
filelock==3.16.0
    # via datasets
    # via gdown
    # via huggingface-hub
    # via torch
    # via transformers
    # via triton
fonttools==4.53.1
    # via matplotlib
fqdn==1.5.1
    # via jsonschema
frozenlist==1.4.1
    # via aiohttp
    # via aiosignal
fsspec==2024.6.1
    # via datasets
    # via gradio-client
    # via huggingface-hub
    # via torch
gdown==5.2.0
    # via hays-t
gradio==4.44.0
    # via hays-t
gradio-client==1.3.0
    # via gradio
groq==0.11.0
    # via hays-t
h11==0.14.0
    # via httpcore
    # via uvicorn
haystack-ai==2.5.1
    # via hays-t
    # via haystack-experimental
    # via ollama-haystack
haystack-experimental==0.1.1
    # via haystack-ai
httpcore==1.0.5
    # via httpx
httpx==0.27.2
    # via gradio
    # via gradio-client
    # via groq
    # via jupyterlab
    # via ollama
    # via openai
huggingface-hub==0.24.6
    # via datasets
    # via gradio
    # via gradio-client
    # via hays-t
    # via sentence-transformers
    # via tokenizers
    # via transformers
idna==3.8
    # via anyio
    # via httpx
    # via jsonschema
    # via requests
    # via yarl
importlib-resources==6.4.5
    # via gradio
ipykernel==6.29.5
    # via jupyterlab
ipython==8.27.0
    # via ipykernel
isoduration==20.11.0
    # via jsonschema
jedi==0.19.1
    # via ipython
jinja2==3.1.4
    # via gradio
    # via haystack-ai
    # via jupyter-server
    # via jupyterlab
    # via jupyterlab-server
    # via llama-cpp-python
    # via nbconvert
    # via torch
jiter==0.5.0
    # via openai
joblib==1.4.2
    # via librosa
    # via scikit-learn
json5==0.9.25
    # via jupyterlab-server
jsonpointer==3.0.0
    # via jsonschema
jsonschema==4.23.0
    # via jupyter-events
    # via jupyterlab-server
    # via nbformat
jsonschema-specifications==2023.12.1
    # via jsonschema
jupyter-client==8.6.2
    # via ipykernel
    # via jupyter-server
    # via nbclient
jupyter-core==5.7.2
    # via ipykernel
    # via jupyter-client
    # via jupyter-server
    # via jupyterlab
    # via nbclient
    # via nbconvert
    # via nbformat
jupyter-events==0.10.0
    # via jupyter-server
jupyter-lsp==2.2.5
    # via jupyterlab
jupyter-server==2.14.2
    # via jupyter-lsp
    # via jupyterlab
    # via jupyterlab-server
    # via notebook-shim
jupyter-server-terminals==0.5.3
    # via jupyter-server
jupyterlab==4.2.5
    # via hays-t
jupyterlab-pygments==0.3.0
    # via nbconvert
jupyterlab-server==2.27.3
    # via jupyterlab
kiwisolver==1.4.7
    # via matplotlib
lazy-imports==0.3.1
    # via haystack-ai
lazy-loader==0.4
    # via librosa
librosa==0.10.2.post1
    # via whisper-cpp-python
llama-cpp-python==0.2.90
    # via hays-t
llvmlite==0.43.0
    # via numba
lxml==5.3.0
    # via docx
    # via python-docx
markdown-it-py==3.0.0
    # via hays-t
    # via rich
markupsafe==2.1.5
    # via gradio
    # via jinja2
    # via nbconvert
matplotlib==3.9.2
    # via gradio
matplotlib-inline==0.1.7
    # via ipykernel
    # via ipython
mdit-plain==1.0.1
    # via hays-t
mdurl==0.1.2
    # via markdown-it-py
mistune==3.0.2
    # via nbconvert
monotonic==1.6
    # via posthog
more-itertools==10.5.0
    # via haystack-ai
    # via openai-whisper
mpmath==1.3.0
    # via sympy
msgpack==1.1.0
    # via librosa
multidict==6.1.0
    # via aiohttp
    # via yarl
multiprocess==0.70.16
    # via datasets
nbclient==0.10.0
    # via nbconvert
nbconvert==7.16.4
    # via jupyter-server
nbformat==5.10.4
    # via jupyter-server
    # via nbclient
    # via nbconvert
nest-asyncio==1.6.0
    # via ipykernel
networkx==3.3
    # via haystack-ai
    # via torch
notebook-shim==0.2.4
    # via jupyterlab
numba==0.60.0
    # via librosa
    # via openai-whisper
numpy==1.26.4
    # via contourpy
    # via datasets
    # via gradio
    # via haystack-ai
    # via librosa
    # via llama-cpp-python
    # via matplotlib
    # via numba
    # via openai-whisper
    # via pandas
    # via pyarrow
    # via scikit-learn
    # via scipy
    # via sentence-transformers
    # via soxr
    # via transformers
nvidia-cublas-cu12==12.1.3.1
    # via nvidia-cudnn-cu12
    # via nvidia-cusolver-cu12
    # via 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
    # via torch
nvidia-nccl-cu12==2.20.5
    # via torch
nvidia-nvjitlink-cu12==12.6.68
    # via nvidia-cusolver-cu12
    # via nvidia-cusparse-cu12
nvidia-nvtx-cu12==12.1.105
    # via torch
ollama==0.3.3
    # via ollama-haystack
ollama-haystack==1.0.0
    # via hays-t
openai==1.44.1
    # via haystack-ai
openai-whisper==20240930
    # via hays-t
orjson==3.10.7
    # via gradio
overrides==7.7.0
    # via jupyter-server
packaging==24.1
    # via datasets
    # via gradio
    # via gradio-client
    # via huggingface-hub
    # via ipykernel
    # via jupyter-server
    # via jupyterlab
    # via jupyterlab-server
    # via lazy-loader
    # via matplotlib
    # via nbconvert
    # via pooch
    # via transformers
pandas==2.2.2
    # via datasets
    # via gradio
    # via haystack-ai
pandocfilters==1.5.1
    # via nbconvert
parso==0.8.4
    # via jedi
pexpect==4.9.0
    # via ipython
pillow==10.4.0
    # via docx
    # via gradio
    # via matplotlib
    # via sentence-transformers
platformdirs==4.3.3
    # via jupyter-core
    # via pooch
pooch==1.8.2
    # via librosa
posthog==3.6.5
    # via haystack-ai
prometheus-client==0.20.0
    # via jupyter-server
prompt-toolkit==3.0.47
    # via ipython
psutil==6.0.0
    # via ipykernel
ptyprocess==0.7.0
    # via pexpect
    # via terminado
pure-eval==0.2.3
    # via stack-data
pyarrow==17.0.0
    # via datasets
pycparser==2.22
    # via cffi
pydantic==2.9.1
    # via fastapi
    # via gradio
    # via groq
    # via hays-t
    # via openai
pydantic-core==2.23.3
    # via pydantic
pydub==0.25.1
    # via gradio
pygments==2.18.0
    # via ipython
    # via nbconvert
    # via rich
pyparsing==3.1.4
    # via matplotlib
pypdf==4.3.1
    # via hays-t
pysocks==1.7.1
    # via requests
python-dateutil==2.9.0.post0
    # via arrow
    # via haystack-ai
    # via jupyter-client
    # via matplotlib
    # via pandas
    # via posthog
python-docx==1.1.2
    # via hays-t
python-json-logger==2.0.7
    # via jupyter-events
python-multipart==0.0.9
    # via gradio
pytz==2024.1
    # via pandas
pyyaml==6.0.2
    # via datasets
    # via gradio
    # via haystack-ai
    # via huggingface-hub
    # via jupyter-events
    # via transformers
pyzmq==26.2.0
    # via ipykernel
    # via jupyter-client
    # via jupyter-server
referencing==0.35.1
    # via jsonschema
    # via jsonschema-specifications
    # via jupyter-events
regex==2024.7.24
    # via tiktoken
    # via transformers
requests==2.32.3
    # via datasets
    # via gdown
    # via haystack-ai
    # via huggingface-hub
    # via jupyterlab-server
    # via pooch
    # via posthog
    # via tiktoken
    # via transformers
rfc3339-validator==0.1.4
    # via jsonschema
    # via jupyter-events
rfc3986-validator==0.1.1
    # via jsonschema
    # via jupyter-events
rich==13.8.1
    # via typer
rpds-py==0.20.0
    # via jsonschema
    # via referencing
ruff==0.6.5
    # via gradio
safetensors==0.4.5
    # via transformers
scikit-learn==1.5.1
    # via librosa
    # via sentence-transformers
scipy==1.14.1
    # via librosa
    # via scikit-learn
    # via sentence-transformers
semantic-version==2.10.0
    # via gradio
send2trash==1.8.3
    # via jupyter-server
sentence-transformers==3.0.1
    # via hays-t
setuptools==74.1.2
    # via jupyterlab
shellingham==1.5.4
    # via typer
six==1.16.0
    # via asttokens
    # via bleach
    # via posthog
    # via python-dateutil
    # via rfc3339-validator
sniffio==1.3.1
    # via anyio
    # via groq
    # via httpx
    # via openai
soundfile==0.12.1
    # via librosa
soupsieve==2.6
    # via beautifulsoup4
soxr==0.5.0.post1
    # via librosa
stack-data==0.6.3
    # via ipython
starlette==0.38.5
    # via fastapi
style==1.1.0
    # via update
sympy==1.13.2
    # via torch
tenacity==9.0.0
    # via haystack-ai
terminado==0.18.1
    # via jupyter-server
    # via jupyter-server-terminals
threadpoolctl==3.5.0
    # via scikit-learn
tiktoken==0.7.0
    # via openai-whisper
tinycss2==1.3.0
    # via nbconvert
tokenizers==0.15.2
    # via transformers
tomlkit==0.12.0
    # via gradio
torch==2.3.1
    # via openai-whisper
    # via sentence-transformers
tornado==6.4.1
    # via ipykernel
    # via jupyter-client
    # via jupyter-server
    # via jupyterlab
    # via terminado
tqdm==4.66.5
    # via datasets
    # via gdown
    # via haystack-ai
    # via huggingface-hub
    # via openai
    # via openai-whisper
    # via sentence-transformers
    # via transformers
traitlets==5.14.3
    # via comm
    # via ipykernel
    # via ipython
    # via jupyter-client
    # via jupyter-core
    # via jupyter-events
    # via jupyter-server
    # via jupyterlab
    # via matplotlib-inline
    # via nbclient
    # via nbconvert
    # via nbformat
transformers==4.39.3
    # via sentence-transformers
triton==2.3.1
    # via openai-whisper
typer==0.12.5
    # via gradio
types-python-dateutil==2.9.0.20240906
    # via arrow
typing-extensions==4.12.2
    # via fastapi
    # via gradio
    # via gradio-client
    # via groq
    # via haystack-ai
    # via huggingface-hub
    # via librosa
    # via llama-cpp-python
    # via openai
    # via pydantic
    # via pydantic-core
    # via python-docx
    # via torch
    # via typer
    # via whisper-cpp-python
tzdata==2024.1
    # via pandas
update==0.0.1
    # via hays-t
uri-template==1.3.0
    # via jsonschema
urllib3==2.2.2
    # via gradio
    # via requests
uvicorn==0.30.6
    # via gradio
wcwidth==0.2.13
    # via prompt-toolkit
webcolors==24.8.0
    # via jsonschema
webencodings==0.5.1
    # via bleach
    # via tinycss2
websocket-client==1.8.0
    # via jupyter-server
websockets==12.0
    # via gradio-client
whisper-cpp-python==0.2.0
    # via hays-t
xxhash==3.5.0
    # via datasets
yarl==1.11.1
    # via aiohttp