Skip to main content

Streamlit component for PDF visualisation and manipulation

Project description

streamlit-pdf-viewer

Streamlit component that allows the visualisation and enrichment of PDF documents

Work in progress: We are early in the development, and we appreciate new contributors.

Currently, it has been tested on Chrome and Firefox. You can see an application in action here.

screenshot.png

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: unwrap (default), legacy_iframe, or legacy_embed. The default value, unwrap shows the PDF document using 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 in this component. NOTE: Annotations are ignored for both 'legacy_iframe' and 'legacy_embed'.
pages_to_render Filter the rendering to a specific set of pages. By default all pages are rendered.

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

  1. Build the frontend part:

    cd frontend
    export NODE_OPTIONS=--openssl-legacy-provider
    npm run build 
    
  2. Make sure that _RELEASE = True in streamlit_pdf_viewer/__init__.py.

  3. 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


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

streamlit-pdf-viewer-0.0.7.tar.gz (2.2 MB view details)

Uploaded Source

Built Distribution

streamlit_pdf_viewer-0.0.7-py3-none-any.whl (2.2 MB view details)

Uploaded Python 3

File details

Details for the file streamlit-pdf-viewer-0.0.7.tar.gz.

File metadata

  • Download URL: streamlit-pdf-viewer-0.0.7.tar.gz
  • Upload date:
  • Size: 2.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.10.12

File hashes

Hashes for streamlit-pdf-viewer-0.0.7.tar.gz
Algorithm Hash digest
SHA256 55d2a58388f8973426c60628b2286cf6f8c63f6b97f2377871f57f2cd611078a
MD5 5ca8a46d4718ca5c47e3706f6918b2f2
BLAKE2b-256 eb008993bb68d90e4464c14640573e139b54178e8d2a6dd89cbbb92327963f79

See more details on using hashes here.

File details

Details for the file streamlit_pdf_viewer-0.0.7-py3-none-any.whl.

File metadata

File hashes

Hashes for streamlit_pdf_viewer-0.0.7-py3-none-any.whl
Algorithm Hash digest
SHA256 ab386dfa19469a7124d7d41c281ccd39f9be72a453579dc962283d08e7f2aceb
MD5 b3eee3594df558550403084d18e916e1
BLAKE2b-256 0ea1f6340326ec0d1a85ba45392e8a6292783e073ebfbd570196ec01fecf5802

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page