mirror of
https://github.com/hwchase17/langchain
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54ad3cc2b8
- scipy was locked due to py version - same guardrails-output-parser - rag-redis
4051 lines
359 KiB
TOML
4051 lines
359 KiB
TOML
# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
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[[package]]
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name = "aiohttp"
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version = "3.8.6"
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description = "Async http client/server framework (asyncio)"
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optional = false
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python-versions = ">=3.6"
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files = [
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[[package]]
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name = "charset-normalizer"
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version = "3.3.2"
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description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
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optional = false
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python-versions = ">=3.7.0"
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name = "contourpy"
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description = "A very fast and expressive template engine."
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version = "1.33"
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description = "Apply JSON-Patches (RFC 6902)"
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jsonpointer = ">=1.9"
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[[package]]
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name = "jsonpointer"
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version = "2.4"
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description = "Identify specific nodes in a JSON document (RFC 6901)"
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description = "A unified toolkit for Deep Learning Based Document Image Analysis"
|
|
optional = false
|
|
python-versions = ">=3.6"
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|
files = [
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|
{file = "layoutparser-0.3.4-py3-none-any.whl", hash = "sha256:269aedfab8a0caa50aef8d0fa62740fbee1f2964880daae3a0e6a0415363126a"},
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{file = "layoutparser-0.3.4.tar.gz", hash = "sha256:0dfb2194c36a5ad1075b8310f3cbc280c00306d1758cef127d20283f7ce085ea"},
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]
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[package.dependencies]
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|
effdet = {version = "*", optional = true, markers = "extra == \"layoutmodels\""}
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|
iopath = "*"
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|
numpy = "*"
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|
opencv-python = "*"
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|
pandas = "*"
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|
pdf2image = "*"
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|
pdfplumber = "*"
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|
pillow = "*"
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|
pytesseract = {version = "*", optional = true, markers = "extra == \"tesseract\""}
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|
pyyaml = ">=5.1"
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|
scipy = "*"
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|
torch = {version = "*", optional = true, markers = "extra == \"layoutmodels\""}
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|
torchvision = {version = "*", optional = true, markers = "extra == \"layoutmodels\""}
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|
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|
[package.extras]
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|
effdet = ["effdet", "torch", "torchvision"]
|
|
gcv = ["google-cloud-vision (==1)"]
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|
layoutmodels = ["effdet", "torch", "torchvision"]
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|
ocr = ["google-cloud-vision (==1)", "pytesseract"]
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|
paddledetection = ["paddlepaddle (==2.1.0)"]
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tesseract = ["pytesseract"]
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[[package]]
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name = "lxml"
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version = "4.9.3"
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description = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API."
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optional = false
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python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, != 3.4.*"
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description = "Bring colors to your terminal."
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name = "regex"
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[[package]]
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name = "requests"
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version = "2.31.0"
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description = "Python HTTP for Humans."
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optional = false
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python-versions = ">=3.7"
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]
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[package.dependencies]
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docs-specific = ["hf-doc-builder"]
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flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)"]
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flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
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ftfy = ["ftfy"]
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integrations = ["optuna", "ray[tune]", "sigopt"]
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ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)"]
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modelcreation = ["cookiecutter (==1.7.3)"]
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natten = ["natten (>=0.14.6)"]
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onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"]
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onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
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optuna = ["optuna"]
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quality = ["GitPython (<3.1.19)", "black (>=23.1,<24.0)", "datasets (!=2.5.0)", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "ruff (>=0.0.241,<=0.0.259)", "urllib3 (<2.0.0)"]
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ray = ["ray[tune]"]
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retrieval = ["datasets (!=2.5.0)", "faiss-cpu"]
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sagemaker = ["sagemaker (>=2.31.0)"]
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sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"]
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serving = ["fastapi", "pydantic (<2)", "starlette", "uvicorn"]
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sigopt = ["sigopt"]
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sklearn = ["scikit-learn"]
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speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
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testing = ["GitPython (<3.1.19)", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "parameterized", "protobuf", "psutil", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "tensorboard", "timeout-decorator"]
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tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx"]
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tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx"]
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tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
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timm = ["timm"]
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tokenizers = ["tokenizers (>=0.14,<0.15)"]
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torch = ["accelerate (>=0.20.3)", "torch (>=1.10,!=1.12.0)"]
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torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
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torch-vision = ["Pillow (<10.0.0)", "torchvision"]
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torchhub = ["filelock", "huggingface-hub (>=0.16.4,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.14,<0.15)", "torch (>=1.10,!=1.12.0)", "tqdm (>=4.27)"]
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video = ["av (==9.2.0)", "decord (==0.6.0)"]
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vision = ["Pillow (<10.0.0)"]
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[[package]]
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name = "typer"
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version = "0.9.0"
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description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
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optional = false
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python-versions = ">=3.6"
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files = [
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click = ">=7.1.1,<9.0.0"
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colorama = {version = ">=0.4.3,<0.5.0", optional = true, markers = "extra == \"all\""}
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rich = {version = ">=10.11.0,<14.0.0", optional = true, markers = "extra == \"all\""}
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shellingham = {version = ">=1.3.0,<2.0.0", optional = true, markers = "extra == \"all\""}
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typing-extensions = ">=3.7.4.3"
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all = ["colorama (>=0.4.3,<0.5.0)", "rich (>=10.11.0,<14.0.0)", "shellingham (>=1.3.0,<2.0.0)"]
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dev = ["autoflake (>=1.3.1,<2.0.0)", "flake8 (>=3.8.3,<4.0.0)", "pre-commit (>=2.17.0,<3.0.0)"]
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doc = ["cairosvg (>=2.5.2,<3.0.0)", "mdx-include (>=1.4.1,<2.0.0)", "mkdocs (>=1.1.2,<2.0.0)", "mkdocs-material (>=8.1.4,<9.0.0)", "pillow (>=9.3.0,<10.0.0)"]
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test = ["black (>=22.3.0,<23.0.0)", "coverage (>=6.2,<7.0)", "isort (>=5.0.6,<6.0.0)", "mypy (==0.910)", "pytest (>=4.4.0,<8.0.0)", "pytest-cov (>=2.10.0,<5.0.0)", "pytest-sugar (>=0.9.4,<0.10.0)", "pytest-xdist (>=1.32.0,<4.0.0)", "rich (>=10.11.0,<14.0.0)", "shellingham (>=1.3.0,<2.0.0)"]
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[[package]]
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name = "typing-extensions"
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version = "4.8.0"
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description = "Backported and Experimental Type Hints for Python 3.8+"
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optional = false
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python-versions = ">=3.8"
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files = [
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[[package]]
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name = "typing-inspect"
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version = "0.9.0"
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description = "Runtime inspection utilities for typing module."
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optional = false
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python-versions = "*"
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mypy-extensions = ">=0.3.0"
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typing-extensions = ">=3.7.4"
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[[package]]
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name = "tzdata"
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version = "2023.3"
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description = "Provider of IANA time zone data"
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optional = false
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python-versions = ">=2"
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files = [
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[[package]]
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name = "unstructured"
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version = "0.10.29"
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description = "A library that prepares raw documents for downstream ML tasks."
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optional = false
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python-versions = ">=3.7.0"
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files = [
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[package.dependencies]
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backoff = "*"
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beautifulsoup4 = "*"
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chardet = "*"
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dataclasses-json = "*"
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emoji = "*"
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filetype = "*"
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langdetect = "*"
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lxml = "*"
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nltk = "*"
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numpy = "*"
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onnx = {version = "*", optional = true, markers = "extra == \"pdf\""}
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pdf2image = {version = "*", optional = true, markers = "extra == \"pdf\""}
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"pdfminer.six" = {version = "*", optional = true, markers = "extra == \"pdf\""}
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python-iso639 = "*"
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python-magic = "*"
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rapidfuzz = "*"
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requests = "*"
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tabulate = "*"
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typing-extensions = "*"
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unstructured-inference = {version = "0.7.11", optional = true, markers = "extra == \"pdf\""}
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"unstructured.pytesseract" = {version = ">=0.3.12", optional = true, markers = "extra == \"pdf\""}
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[package.extras]
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airtable = ["pyairtable"]
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all-docs = ["markdown", "msg-parser", "networkx", "onnx", "openpyxl", "pandas", "pdf2image", "pdfminer.six", "pypandoc", "python-docx (>=1.0.1)", "python-pptx (<=0.6.21)", "unstructured-inference (==0.7.11)", "unstructured.pytesseract (>=0.3.12)", "xlrd"]
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azure = ["adlfs", "fsspec (==2023.9.1)"]
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azure-cognitive-search = ["azure-search-documents"]
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bedrock = ["boto3", "langchain"]
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biomed = ["bs4"]
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box = ["boxfs", "fsspec (==2023.9.1)"]
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confluence = ["atlassian-python-api"]
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csv = ["pandas"]
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delta-table = ["deltalake", "fsspec (==2023.9.1)"]
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discord = ["discord-py"]
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doc = ["python-docx (>=1.0.1)"]
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docx = ["python-docx (>=1.0.1)"]
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dropbox = ["dropboxdrivefs", "fsspec (==2023.9.1)"]
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elasticsearch = ["elasticsearch", "jq"]
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embed-huggingface = ["huggingface", "langchain", "sentence-transformers"]
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epub = ["pypandoc"]
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gcs = ["bs4", "fsspec (==2023.9.1)", "gcsfs"]
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github = ["pygithub (>1.58.0)"]
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gitlab = ["python-gitlab"]
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google-drive = ["google-api-python-client"]
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huggingface = ["langdetect", "sacremoses", "sentencepiece", "torch", "transformers"]
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image = ["onnx", "pdf2image", "pdfminer.six", "unstructured-inference (==0.7.11)", "unstructured.pytesseract (>=0.3.12)"]
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jira = ["atlassian-python-api"]
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local-inference = ["markdown", "msg-parser", "networkx", "onnx", "openpyxl", "pandas", "pdf2image", "pdfminer.six", "pypandoc", "python-docx (>=1.0.1)", "python-pptx (<=0.6.21)", "unstructured-inference (==0.7.11)", "unstructured.pytesseract (>=0.3.12)", "xlrd"]
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md = ["markdown"]
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msg = ["msg-parser"]
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notion = ["htmlBuilder", "notion-client"]
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odt = ["pypandoc", "python-docx (>=1.0.1)"]
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onedrive = ["Office365-REST-Python-Client (<2.4.3)", "bs4", "msal"]
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openai = ["langchain", "openai", "tiktoken"]
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org = ["pypandoc"]
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outlook = ["Office365-REST-Python-Client (<2.4.3)", "msal"]
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paddleocr = ["unstructured.paddleocr (==2.6.1.3)"]
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pdf = ["onnx", "pdf2image", "pdfminer.six", "unstructured-inference (==0.7.11)", "unstructured.pytesseract (>=0.3.12)"]
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ppt = ["python-pptx (<=0.6.21)"]
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pptx = ["python-pptx (<=0.6.21)"]
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reddit = ["praw"]
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rst = ["pypandoc"]
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rtf = ["pypandoc"]
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s3 = ["fsspec (==2023.9.1)", "s3fs"]
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salesforce = ["simple-salesforce"]
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sharepoint = ["Office365-REST-Python-Client (<2.4.3)", "msal"]
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slack = ["slack-sdk"]
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tsv = ["pandas"]
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wikipedia = ["wikipedia"]
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xlsx = ["networkx", "openpyxl", "pandas", "xlrd"]
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|
|
|
[[package]]
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|
name = "unstructured-inference"
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|
version = "0.7.11"
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|
description = "A library for performing inference using trained models."
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|
optional = false
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python-versions = ">=3.7.0"
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files = [
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{file = "unstructured_inference-0.7.11-py3-none-any.whl", hash = "sha256:83c3f496e81fe8197dd68c1e226089781a1452d6448f5e6d851aa9f1f67940d7"},
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{file = "unstructured_inference-0.7.11.tar.gz", hash = "sha256:22dbbf76483c5059dfd4a65c732fb9d0187f708ac94f18b37efa82194ebaae2a"},
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]
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[package.dependencies]
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huggingface-hub = "*"
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layoutparser = {version = "*", extras = ["layoutmodels", "tesseract"]}
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onnx = "*"
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onnxruntime = "<1.16"
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opencv-python = "!=4.7.0.68"
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python-multipart = "*"
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rapidfuzz = "*"
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transformers = ">=4.25.1"
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[package.extras]
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supergradients = ["super-gradients", "supervision"]
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[[package]]
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name = "unstructured-pytesseract"
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version = "0.3.12"
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|
description = "Python-tesseract is a python wrapper for Google's Tesseract-OCR"
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optional = false
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python-versions = ">=3.8"
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files = [
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{file = "unstructured.pytesseract-0.3.12-py3-none-any.whl", hash = "sha256:6ed42530fc697bb08d1ae4884cc517ee808620c1c1414efe8d5d90334da068d3"},
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{file = "unstructured.pytesseract-0.3.12.tar.gz", hash = "sha256:751a21d67b1f109036bf4daf796d3e04631697a355efd650f3373412b249de2e"},
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[package.dependencies]
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packaging = ">=21.3"
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Pillow = ">=8.0.0"
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[[package]]
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name = "urllib3"
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version = "2.0.7"
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description = "HTTP library with thread-safe connection pooling, file post, and more."
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optional = false
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python-versions = ">=3.7"
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socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
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zstd = ["zstandard (>=0.18.0)"]
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[[package]]
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name = "uvicorn"
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version = "0.23.2"
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description = "The lightning-fast ASGI server."
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click = ">=7.0"
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h11 = ">=0.8"
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typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""}
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standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"]
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[[package]]
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name = "yarl"
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version = "1.9.2"
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description = "Yet another URL library"
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optional = false
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python-versions = ">=3.7"
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files = [
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[package.dependencies]
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idna = ">=2.0"
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multidict = ">=4.0"
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[[package]]
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name = "zipp"
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version = "3.17.0"
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description = "Backport of pathlib-compatible object wrapper for zip files"
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optional = false
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python-versions = ">=3.8"
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files = [
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[package.extras]
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docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
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testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
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[metadata]
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lock-version = "2.0"
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python-versions = ">=3.9,<3.13"
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content-hash = "5c8d0d36c5b7e53a0b35724121519bf1cd77c4b31a52fe05070967b34111dd02"
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