diff --git a/docs/modules/document_loaders/examples/microsoft_word.ipynb b/docs/modules/document_loaders/examples/microsoft_word.ipynb deleted file mode 100644 index 4eef6debf5..0000000000 --- a/docs/modules/document_loaders/examples/microsoft_word.ipynb +++ /dev/null @@ -1,145 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "34c90eed", - "metadata": {}, - "source": [ - "# Microsoft Word\n", - "\n", - "This notebook shows how to load text from Microsoft word documents." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "28ded768", - "metadata": {}, - "outputs": [], - "source": [ - "from langchain.document_loaders import UnstructuredDocxLoader" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "f1f26035", - "metadata": {}, - "outputs": [], - "source": [ - "loader = UnstructuredDocxLoader('example_data/fake.docx')" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "2c87dde9", - "metadata": {}, - "outputs": [], - "source": [ - "data = loader.load()" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "0e4a884c", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[Document(page_content='Lorem ipsum dolor sit amet.', lookup_str='', metadata={'source': 'example_data/fake.docx'}, lookup_index=0)]" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "data" - ] - }, - { - "cell_type": "markdown", - "id": "5d1472e9", - "metadata": {}, - "source": [ - "## Retain Elements\n", - "\n", - "Under the hood, Unstructured creates different \"elements\" for different chunks of text. By default we combine those together, but you can easily keep that separation by specifying `mode=\"elements\"`." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "93abf60b", - "metadata": {}, - "outputs": [], - "source": [ - "loader = UnstructuredDocxLoader('example_data/fake.docx', mode=\"elements\")" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "c35cdbcc", - "metadata": {}, - "outputs": [], - "source": [ - "data = loader.load()" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "fae2d730", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[Document(page_content='Lorem ipsum dolor sit amet.', lookup_str='', metadata={'source': 'example_data/fake.docx'}, lookup_index=0)]" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "data" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "961a7b1d", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.1" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/docs/modules/document_loaders/examples/word_document.ipynb b/docs/modules/document_loaders/examples/word_document.ipynb index daf70e8400..b7a49450ea 100644 --- a/docs/modules/document_loaders/examples/word_document.ipynb +++ b/docs/modules/document_loaders/examples/word_document.ipynb @@ -27,7 +27,7 @@ "metadata": {}, "outputs": [], "source": [ - "loader = UnstructuredWordDocumentLoader(\"fake.docx\")" + "loader = UnstructuredWordDocumentLoader(\"example_data/fake.docx\")" ] }, { @@ -78,7 +78,7 @@ "metadata": {}, "outputs": [], "source": [ - "loader = UnstructuredWordDocumentLoader(\"fake.docx\", mode=\"elements\")" + "loader = UnstructuredWordDocumentLoader(\"example_data/fake.docx\", mode=\"elements\")" ] }, { diff --git a/docs/modules/document_loaders/how_to_guides.rst b/docs/modules/document_loaders/how_to_guides.rst index 20c3688b24..e4270c614a 100644 --- a/docs/modules/document_loaders/how_to_guides.rst +++ b/docs/modules/document_loaders/how_to_guides.rst @@ -21,8 +21,6 @@ There are a lot of different document loaders that LangChain supports. Below are `GoogleDrive <./examples/googledrive.html>`_: A walkthrough of how to load data from Google drive. -`Microsoft Word <./examples/microsoft_word.html>`_: A walkthrough of how to load data from Microsoft Word files. - `Obsidian <./examples/obsidian.html>`_: A walkthrough of how to load data from an Obsidian file dump. `Roam <./examples/roam.html>`_: A walkthrough of how to load data from a Roam file export. @@ -59,6 +57,26 @@ There are a lot of different document loaders that LangChain supports. Below are `iFixit <./examples/ifixit.html>`_: A walkthrough of how to search and load data like guides, technical Q&A's, and device wikis from iFixit.com +`Notebook <./examples/notebook.html>`_: A walkthrough of how to load data from .ipynb notebook. + +`Copypaste <./examples/copypaste.html>`_: A walkthrough of how to load a document object from something you just want to copy and paste. + +`CSV <./examples/csv.html>`_: A walkthrough of how to load data from a .csv file. + +`Facebook Chat <./examples/facebook_chat.html>`_: A walkthrough of how to load data from a Facebook Chat json file. + +`Image <./examples/image.html>`_: A walkthrough of how to load images such as JPGs PNGs into a document format that can be used downstream. + +`Markdown <./examples/markdown.html>`_: A walkthrough of how to load data from a markdown file. + +`SRT <./examples/srt.html>`_: A walkthrough of how to load data from a subtitle (`.srt`) file. + +`Telegram <./examples/telegram.html>`_: A walkthrough of how to load data from a Telegram Chat json file. + +`URL <./examples/url.html>`_: A walkthrough of how to load HTML documents from a list of URLs into a document format that we can use downstream. + +`Word Document <./examples/word_document.html>`_: A walkthrough of how to load data from Microsoft Word files. + `Blackboard <./examples/blackboard.html>`_: A walkthrough of how to load data from a Blackboard course. .. toctree:: diff --git a/langchain/document_loaders/__init__.py b/langchain/document_loaders/__init__.py index ec2058dcbf..fb4f22ff31 100644 --- a/langchain/document_loaders/__init__.py +++ b/langchain/document_loaders/__init__.py @@ -7,7 +7,6 @@ from langchain.document_loaders.college_confidential import CollegeConfidentialL from langchain.document_loaders.conllu import CoNLLULoader from langchain.document_loaders.csv_loader import CSVLoader from langchain.document_loaders.directory import DirectoryLoader -from langchain.document_loaders.docx import UnstructuredDocxLoader from langchain.document_loaders.email import UnstructuredEmailLoader from langchain.document_loaders.evernote import EverNoteLoader from langchain.document_loaders.facebook_chat import FacebookChatLoader @@ -72,7 +71,6 @@ __all__ = [ "UnstructuredPDFLoader", "UnstructuredImageLoader", "ObsidianLoader", - "UnstructuredDocxLoader", "UnstructuredEmailLoader", "UnstructuredMarkdownLoader", "RoamLoader", diff --git a/langchain/document_loaders/docx.py b/langchain/document_loaders/docx.py deleted file mode 100644 index 8edc10da50..0000000000 --- a/langchain/document_loaders/docx.py +++ /dev/null @@ -1,13 +0,0 @@ -"""Loader that loads Microsoft Word files.""" -from typing import List - -from langchain.document_loaders.unstructured import UnstructuredFileLoader - - -class UnstructuredDocxLoader(UnstructuredFileLoader): - """Loader that uses unstructured to load Microsoft Word files.""" - - def _get_elements(self) -> List: - from unstructured.partition.docx import partition_docx - - return partition_docx(filename=self.file_path)