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Running
A newer version of the Streamlit SDK is available:
1.45.1
Project Progress: HOCR Processing Tool
1. What Works
- Initial Memory Bank Setup: The core documentation structure (projectbrief, productContext, activeContext, systemPatterns, techContext, progress) has been established in the
memory-bank/
directory.
2. What's Left to Build / Verify
- Verify Core Functionality: Need to run the application and test its basic OCR capabilities on sample images and PDFs.
- Confirm Technical Assumptions: Validate the libraries and dependencies outlined in
techContext.md
by checkingrequirements.txt
and relevant code sections. - Understand Configuration: Investigate
config.py
to determine how users configure the pipeline. - Test UI Layer: If
app.py
provides a UI (Streamlit/Flask), test its usability and connection to the backend pipeline. - Review Existing Code: Deeper dive into the modules (
preprocessing.py
,ocr_processing.py
, etc.) to understand implementation details. - Assess Test Coverage: Examine the tests in
testing/
to understand what is currently covered. - Address Specific User Goals: Once the baseline is understood, tackle any specific feature requests, bug fixes, or improvements requested by the user.
3. Current Status
- Baseline Established (Memory Bank): As of 2025-05-05, the initial Memory Bank structure is in place.
- Code Functionality: The operational status of the HOCR tool itself is yet to be verified.
4. Known Issues / Bugs
- (None identified yet. To be populated as testing and development proceed.)
5. Evolution of Project Decisions (Decision Log)
- 2025-05-05: Decided to create the standard Cline Memory Bank structure for the
hocr
project upon user request to check configuration. Found no existingmemory-bank
directory and proceeded with creation of core files.
(This document tracks the overall progress and state of the project.)