Adapted Dockerfile for systems with read only file system. Minor package updates.

Fixed issue in Docker containers built locally without correct folder permissions. Improved config file. Updated Gradio version to fix issue with selecting filtered rows. Minor bug fixes.

Modified Dockerfile for correct logging folder ownership

Implemented Textract document API calls and associated output tracking/download. Fixes to config and cost code implementation. General minor bug fixes.

Updated Dockerfile to remove references to NLTK, as removed from requirements

Allowed for output files to be saved into user-specific folders. Added deny list capability to xlsx/csv file redaction

Allowed for Textract and Comprehend API calls through AWS keys. File preparation function incorporated into main redaction function to avoid needing user to 'check in' during redaction process

Added git to the correct area in Dockerfile (build as opposed to run area)

Added git to Dockerfile to be able to install git-based custom gradio components

Added tab to be able to compare pages across multiple documents and redact duplicates

Enhance file handling and UI features: improved Gradio app layout with fill width option, and integrated new settings for deny, and fully redacted lists (placeholders so far). Updated file conversion functions to handle CSV inputs and added CSV review file generation for redactions. Now retains all original and merged redaction boxes.

Can now define queue size, max file size, and server port in environment variables

Updated Dockerfile and entrypoint file to hopefully deal correctly with APP_MODE environment variable

Moved chmod command to before user switch in Dockerfile

Ensure entrypoint.sh is copied

Included entrypoint.sh

Modified Dockerfile hopefully to not need Lambda overrides. Looking into custom headers from Cloudfront to try to get them to work

Created custom csvlogger to try to overcome AWS Lambda's incompatibility with multithread locks

Changed app_mode arg position in dockerfile, changed default to gradio

Moved entrypoint.sh creation to before user switch to avoid permission errors

Updated Dockerfile and requirements to include relevant Lambda packages

Switched start py file through Dockerfile to lambda_entrypoint. Added gradio links from this .py

Some more debugging. Added aws-lambda-adapter just in case that's useful in AWS Lambda

Added option for running redact function through CLI (i.e. not going through Gradio UI or API). Test functions for running this through AWS Lambda.

Added logging, anonymising all Excel sheets, simple redaction tags, some Dockerfile optimisation

Can now redaction text or csv/xlsx files. Can redact multiple files. Embeds redactions as image-based file by default

Better redaction output formatting. Custom output folders allowed. Upgraded Gradio version

Added TLDExtract cache files so that internet connection is not required

Page conversion now page by page calls hopefully to avoid fastapi timeouts on AWS. gunicorn keep_alive parameter extended to 60 seconds just in case that helps too.

correctly spelled --no-cache-dir this time

Unspecifying gradio and spacy in requirements, then reinstalling latest gradio afterwards in Dockerfile. All to try to avoid typer conflict

Created output folder specifically in Dockerfile

Specify GRADIO_SERVER_NAME variable in Dockerfile as 0.0.0.0

Modified Dockerfile to run with user 1000. Changed port to standard 7860 and removed server name specification.

Added opencv installation to dockerfile and reverted to slim-bookworm

Changed base python distribution to (hopefully) have access to tesseract-ocr package

Added -y to tesseract-ocr installation in Dockerfile

Added -y to poppler-utils installation in Dockerfile. Added support for image files in image-based redaction.

Initial commit