Streamlit component for PDF visualisation and manipulation
Project description
streamlit-pdf-viewer
Component allowing the visualisation and manipulation of PDF documents in streamlit
Work in progress
We are early in the development, looking for contributors. Currently, it has been tested on Chrome and Firefox.
You can see an application in action here.
Getting started
pip install streamlit-pdf-viewer
In your streamlit application, you can use it as:
import streamlit as st
from streamlit_pdf_viewer import pdf_viewer
pdf_viewer("str, path or bytes")
Options
Params
In the following table the list of parameters that can be provided to the pdf_viewer
function:
name | description |
---|---|
input | The source of the PDF file. Accepts a file path, URL, or binary data. |
width | Width of the PDF viewer in pixels. It defaults to 700 pixels. |
height | Height of the PDF viewer in pixels. If not provided, the viewer shows the whole content. |
annotations | A list of annotations to be overlaid on the PDF. Each annotation should be a dictionary. |
pages_vertical_spacing | The vertical space (in pixels) between each page of the PDF. Defaults to 2 pixels. |
annotation_outline_size | Size of the outline around each annotation in pixels. Defaults to 1 pixel. |
rendering | Type of rendering. The default value "unwrap", which unwraps the PDF with pdf.js, and supports the visualisation of annotations. Other values are "legacy_iframe" and "legacy_embed" which use the legacy approach of injecting the document into an <embed> or <iframe> . These methods enable the default pdf viewer of Firefox/Chrome/Edge that contains additional features we are still working to implement for the "unwrap" method. NOTE: Annotations are ignored for both 'legacy_iframe' and 'legacy_embed'. |
Developers notes
Environment
- Python >= 3.8
- Node.js >= 16
- Streamlit 1.28.2
Configure environment for development
First, make sure that _RELEASE = False in streamlit_pdf_viewer/__init__.py
. To run the component in development mode, use the following commands:
streamlit run my_component/__init__.py
cd frontend
npm run serve
These commands will start the Streamlit application and serve the Node.js component. Please make sure you're in the correct directory before running these commands.
Integrate into a streamlit application
-
Build the frontend part:
cd frontend export NODE_OPTIONS=--openssl-legacy-provider npm run build
-
Make sure that _RELEASE = True in
streamlit_pdf_viewer/__init__.py
. -
move to the streamlit_application and run
pip install -e {path of component}
Release
bump-my-version bump patch | minor | major
git push
git push --tags
Project details
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