text: 286.14), (36.34, 286.14), (36.34, 258.36)), 'system': 'PixelSpace', 'layout_width': 612, 'layout_height': 792}, 'filename': 'layout-parser-paper.pdf', 'file_directory': './example_data', 'filetype': 'application/pdf', 'page_number': 1, 'category': 'Title'})]Unstructured APIâ€‹If you want to get up and running with less set up, you can simply run pip install unstructured and use UnstructuredAPIFileLoader or UnstructuredAPIFileIOLoader. That will process your document using the hosted Unstructured API. You can generate a free Unstructured API key here. The Unstructured documentation page will have instructions on how to generate an API key once theyâ€™re available. Check out the instructions here if youâ€™d like to self-host the Unstructured API or run it locally.from langchain.document_loaders import UnstructuredAPIFileLoaderfilenames = ["example_data/fake.docx", "example_data/fake-email.eml"]loader = UnstructuredAPIFileLoader(    file_path=filenames[0],    api_key="FAKE_API_KEY",)docs = loader.load()docs[0]    Document(page_content='Lorem ipsum dolor sit amet.', metadata={'source': 'example_data/fake.docx'})You can also batch multiple files through the Unstructured API in a single API using UnstructuredAPIFileLoader.loader = UnstructuredAPIFileLoader(    file_path=filenames,    api_key="FAKE_API_KEY",)docs = loader.load()docs[0]    Document(page_content='Lorem ipsum dolor sit amet.\n\nThis is a test email to use for unit tests.\n\nImportant points:\n\nRoses are red\n\nViolets are blue',