Update unstructured requirement from ^0.13.0 to >=0.13,<0.16

[dependabot]

Updates the requirements on unstructured to permit the latest version.

Release notes

Sourced from unstructured's releases.

0.15.5

Enhancements

Features

Fixes

• Revert to using unstructured.pytesseract fork. Due to the unavailability of some recent release versions of pytesseract on PyPI, the project now uses the unstructured.pytesseract fork to ensure stability and continued support.
• Bump libreoffice verson in image. Bumps the libreoffice version to 25.2.5.2 to address CVEs.
• Downgrade NLTK dependency version for compatibility. Due to the unavailability of nltk==3.8.2 on PyPI, the NLTK dependency has been downgraded to <3.8.2. This change ensures continued functionality and compatibility.

Changelog

Sourced from unstructured's changelog.

0.15.5

Enhancements

Features

Fixes

• Revert to using unstructured.pytesseract fork. Due to the unavailability of some recent release versions of pytesseract on PyPI, the project now uses the unstructured.pytesseract fork to ensure stability and continued support.
• Bump libreoffice verson in image. Bumps the libreoffice version to 25.2.5.2 to address CVEs.
• Downgrade NLTK dependency version for compatibility. Due to the unavailability of nltk==3.8.2 on PyPI, the NLTK dependency has been downgraded to <3.8.2. This change ensures continued functionality and compatibility.

0.15.4

Enhancements

Features

Fixes

• Resolve an installation error with pytesseract>=0.3.12 that occurred during pip install unstructured[pdf]==0.15.3.

0.15.3

Enhancements

Features

Fixes

• Remove the custom index URL from extra-paddleocr.in to resolve the error in the setup.py configuration.

0.15.2

Enhancements

• Improve directory handling when extracting image blocks. The figures directory is no longer created when the extract_image_block_to_payload parameter is set to True.

Features

• Added per-class Object Detection metrics in the evaluation. The metrics include average precision, precision, recall, and f1-score for each class in the dataset.

Fixes

• Updates NLTK data file for compatibility with nltk>=3.8.2. The NLTK data file now container punkt_tab, making it possible to upgrade to nltk>=3.8.2. The nltk==3.8.2 patches CVE-2024-39705.
• Renames Astra to Astra DB Conforms with DataStax internal naming conventions.
• Accommodate single-column CSV files. Resolves a limitation of partition_csv() where delimiter detection would fail on a single-column CSV file (which naturally has no delimeters).
• Accommodate image/jpg in PPTX as alias for image/jpeg. Resolves problem partitioning PPTX files having an invalid image/jpg (should be image/jpeg) MIME-type in the [Content_Types].xml member of the PPTX Zip archive.
• Fixes an issue in Object Detection metrics The issue was in preprocessing/validating the ground truth and predicted data for object detection metrics.
• Removes dependency on unstructured.pytesseract Unstructured forked pytesseract while waiting for code to be upstreamed. Now that the new version has been released, this fork can be removed.

... (truncated)

Commits

• fc26426 feat: replace pytesseract with unstructured.pytesseract fork (#3528)
• e64e095 build: update to latest base image (#3524)
• d0211cc build: downgrade nltk version (#3527)
• 9b778e2 fix: pytesseract>=0.3.12 installation error while installing pdf extra (#...
• d6a84bd build(deps): update extra-paddleocr requirements (#3515)
• 7437f0a fix(CVE-2024-39705): update to latest nltk version (#3512)
• 1158d8f Refactor image block extraction in pdf partitioning (#3514)
• cbe1b35 rfctr(chunk): prep for adding TableSplitter (#3510)
• d99b399 build(deps): Remove unstructured.paddlepaddle fork (#3506)
• a2ae2ed chore: remove matplotlib constraint (#3505)
• Additional commits viewable in compare view

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