Source code for langchain.document_loaders.image
from typing import List
from langchain.document_loaders.unstructured import UnstructuredFileLoader
[docs]class UnstructuredImageLoader(UnstructuredFileLoader):
    """Load `PNG` and `JPG` files using `Unstructured`.
    You can run the loader in one of two modes: "single" and "elements".
    If you use "single" mode, the document will be returned as a single
    langchain Document object. If you use "elements" mode, the unstructured
    library will split the document into elements such as Title and NarrativeText.
    You can pass in additional unstructured kwargs after mode to apply
    different unstructured settings.
    Examples
    --------
    from langchain.document_loaders import UnstructuredImageLoader
    loader = UnstructuredImageLoader(
        "example.png", mode="elements", strategy="fast",
    )
    docs = loader.load()
    References
    ----------
    https://unstructured-io.github.io/unstructured/bricks.html#partition-image
    """
    def _get_elements(self) -> List:
        from unstructured.partition.image import partition_image
        return partition_image(filename=self.file_path, **self.unstructured_kwargs)