mirror of
https://github.com/hwchase17/langchain
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43 lines
1.5 KiB
Python
43 lines
1.5 KiB
Python
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from typing import List
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from langchain_community.document_loaders.unstructured import (
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UnstructuredFileLoader,
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satisfies_min_unstructured_version,
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)
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class UnstructuredEPubLoader(UnstructuredFileLoader):
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"""Load `EPub` files using `Unstructured`.
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You can run the loader in one of two modes: "single" and "elements".
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If you use "single" mode, the document will be returned as a single
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langchain Document object. If you use "elements" mode, the unstructured
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library will split the document into elements such as Title and NarrativeText.
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You can pass in additional unstructured kwargs after mode to apply
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different unstructured settings.
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Examples
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--------
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from langchain_community.document_loaders import UnstructuredEPubLoader
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loader = UnstructuredEPubLoader(
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"example.epub", mode="elements", strategy="fast",
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)
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docs = loader.load()
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References
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----------
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https://unstructured-io.github.io/unstructured/bricks.html#partition-epub
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"""
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def _get_elements(self) -> List:
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min_unstructured_version = "0.5.4"
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if not satisfies_min_unstructured_version(min_unstructured_version):
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raise ValueError(
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"Partitioning epub files is only supported in "
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f"unstructured>={min_unstructured_version}."
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)
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from unstructured.partition.epub import partition_epub
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return partition_epub(filename=self.file_path, **self.unstructured_kwargs)
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