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* cr * cr * cr --------- Co-authored-by: Jerry Liu <jerry@robustintelligence.com> Co-authored-by: Jesse Zhang <jessetanzhang@gmail.com>
Microsoft PowerPoint Loader
This loader extracts the text from a local Microsoft PowerPoint (.pptx) file. Image elements are optionally captioned and inserted as text into the final Document
using GPT2 Image Captioning model. For example, a team photo might be converted into "three people smiling in front of skyscrapers". To use this feature, initialize the loader with caption_images = True
. A single local file is passed in each time you call load_data
.
Usage
To use this loader, you need to pass in a Path
to a local file.
from pathlib import Path
from llama_index import download_loader
PptxReader = download_loader("PptxReader")
loader = PptxReader()
documents = loader.load_data(file=Path('./deck.pptx'))
This loader is designed to be used as a way to load data into LlamaIndex and/or subsequently used as a Tool in a LangChain Agent. See here for examples.