requirements.txt

#
# This file is autogenerated by pip-compile with Python 3.11
# by the following command:
#
#    pip-compile --output-file=requirements.txt pyproject.toml
#
annotated-types==0.6.0
    # via pydantic
anyio==4.2.0
    # via starlette
aws-lambda-powertools[tracer]==2.32.0
    # via vidoso (pyproject.toml)
aws-xray-sdk==2.12.1
    # via aws-lambda-powertools
blis==0.7.11
    # via thinc
boto3==1.34.25
    # via vidoso (pyproject.toml)
botocore==1.34.25
    # via
    #   aws-xray-sdk
    #   boto3
    #   s3transfer
catalogue==2.0.10
    # via
    #   spacy
    #   srsly
    #   thinc
certifi==2023.11.17
    # via requests
charset-normalizer==3.3.2
    # via requests
click==8.1.7
    # via
    #   nltk
    #   typer
cloudpathlib==0.16.0
    # via weasel
confection==0.1.4
    # via
    #   thinc
    #   weasel
cymem==2.0.8
    # via
    #   preshed
    #   spacy
    #   thinc
faiss-cpu==1.7.4
    # via vidoso (pyproject.toml)
fastapi==0.109.0
    # via vidoso (pyproject.toml)
filelock==3.13.1
    # via
    #   huggingface-hub
    #   torch
    #   transformers
    #   triton
fsspec==2023.12.2
    # via
    #   huggingface-hub
    #   torch
huey==2.5.0
    # via vidoso (pyproject.toml)
huggingface-hub==0.20.3
    # via
    #   sentence-transformers
    #   tokenizers
    #   transformers
idna==3.6
    # via
    #   anyio
    #   requests
jinja2==3.1.3
    # via
    #   spacy
    #   torch
jmespath==1.0.1
    # via
    #   boto3
    #   botocore
joblib==1.3.2
    # via
    #   nltk
    #   scikit-learn
langcodes==3.3.0
    # via spacy
llvmlite==0.41.1
    # via numba
markdown-it-py==3.0.0
    # via rich
markupsafe==2.1.4
    # via jinja2
mdurl==0.1.2
    # via markdown-it-py
more-itertools==10.2.0
    # via openai-whisper
mpmath==1.3.0
    # via sympy
murmurhash==1.0.10
    # via
    #   preshed
    #   spacy
    #   thinc
networkx==3.2.1
    # via torch
nltk==3.8.1
    # via sentence-transformers
numba==0.58.1
    # via openai-whisper
numpy==1.26.3
    # via
    #   blis
    #   numba
    #   openai-whisper
    #   scikit-learn
    #   scipy
    #   sentence-transformers
    #   spacy
    #   thinc
    #   torchvision
    #   transformers
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==2.18.1
    # via torch
nvidia-nvjitlink-cu12==12.3.101
    # via
    #   nvidia-cusolver-cu12
    #   nvidia-cusparse-cu12
nvidia-nvtx-cu12==12.1.105
    # via torch
openai-whisper==20231117
    # via vidoso (pyproject.toml)
packaging==23.2
    # via
    #   huggingface-hub
    #   spacy
    #   thinc
    #   transformers
    #   weasel
pillow==10.2.0
    # via torchvision
preshed==3.0.9
    # via
    #   spacy
    #   thinc
pydantic==2.5.3
    # via
    #   confection
    #   fastapi
    #   pydantic-settings
    #   spacy
    #   thinc
    #   vidoso (pyproject.toml)
    #   weasel
pydantic-core==2.14.6
    # via pydantic
pydantic-settings==2.1.0
    # via vidoso (pyproject.toml)
pydub==0.25.1
    # via vidoso (pyproject.toml)
pygments==2.17.2
    # via rich
python-dateutil==2.8.2
    # via botocore
python-dotenv==1.0.1
    # via pydantic-settings
pytube==15.0.0
    # via vidoso (pyproject.toml)
pyyaml==6.0.1
    # via
    #   huggingface-hub
    #   transformers
redis==5.0.1
    # via vidoso (pyproject.toml)
regex==2023.12.25
    # via
    #   nltk
    #   tiktoken
    #   transformers
requests==2.31.0
    # via
    #   huggingface-hub
    #   spacy
    #   tiktoken
    #   torchvision
    #   transformers
    #   weasel
rich==13.7.0
    # via vidoso (pyproject.toml)
s3transfer==0.10.0
    # via boto3
safetensors==0.4.2
    # via transformers
scikit-learn==1.4.0
    # via sentence-transformers
scipy==1.12.0
    # via
    #   scikit-learn
    #   sentence-transformers
sentence-transformers==2.2.2
    # via vidoso (pyproject.toml)
sentencepiece==0.1.99
    # via sentence-transformers
six==1.16.0
    # via python-dateutil
smart-open==6.4.0
    # via
    #   spacy
    #   weasel
sniffio==1.3.0
    # via anyio
spacy==3.7.2
    # via vidoso (pyproject.toml)
spacy-legacy==3.0.12
    # via spacy
spacy-loggers==1.0.5
    # via spacy
srsly==2.4.8
    # via
    #   confection
    #   spacy
    #   thinc
    #   weasel
starlette==0.35.1
    # via fastapi
sympy==1.12
    # via torch
thinc==8.2.2
    # via spacy
threadpoolctl==3.2.0
    # via scikit-learn
tiktoken==0.5.2
    # via openai-whisper
tokenizers==0.15.1
    # via transformers
torch==2.1.2
    # via
    #   openai-whisper
    #   sentence-transformers
    #   torchvision
torchvision==0.16.2
    # via sentence-transformers
tqdm==4.66.1
    # via
    #   huggingface-hub
    #   nltk
    #   openai-whisper
    #   sentence-transformers
    #   spacy
    #   transformers
transformers==4.37.0
    # via sentence-transformers
triton==2.1.0
    # via
    #   openai-whisper
    #   torch
typer==0.9.0
    # via
    #   spacy
    #   vidoso (pyproject.toml)
    #   weasel
typing-extensions==4.9.0
    # via
    #   aws-lambda-powertools
    #   fastapi
    #   huggingface-hub
    #   pydantic
    #   pydantic-core
    #   torch
    #   typer
urllib3==2.0.7
    # via
    #   botocore
    #   requests
uvloop==0.19.0
    # via vidoso (pyproject.toml)
wasabi==1.1.2
    # via
    #   spacy
    #   thinc
    #   weasel
weasel==0.3.4
    # via spacy
wrapt==1.16.0
    # via aws-xray-sdk

# The following packages are considered to be unsafe in a requirements file:
# setuptools