Change batch_size to score_batch_size in FigureScorer

Update app.py

Refactor batch size parameters in model configs

Update persistence.py

Update requirements.txt

Update requirements.txt to modify dependencies

Enhance scoring guidance in pipeline.py

Update pipeline.py

Refactor triage prompts and search methods

Update parser.py

Update search.py

Implement parse_batch_results function

Update models.py

Increase batch size from 1 to 10 in model configs

Update app.py

Update README.md

Update README to simplify configuration details

Add Dockerfile for Streamlit application

Create README.md with project information

Refactor dataset loading and improve caching logic

Update models.py

Update parser.py

Implement LLMClient with multiple provider support

Refactor search.py for improved query handling

Refactor FigureScorer to enhance scoring logic

Refactor API key handling and improve UI elements

Add GitHub Actions workflow to sync to Hugging Face Hub

changes for hugging face

changes for hugging face

adding pathfinder capabilities

Change page title and update header content

Replace combined_search with expanded_search method

Refactor search limits and add author search method

Refine log_rating function logic and comments

Rename persistent.py to persistence.py

Update page icon and load global stats

Refactor feedback logging and update stats display

Import functions from persistence module

Add persistent.py for Google Sheets integration

Add gspread dependency to requirements.txt

Revise secondary verification checkbox label and info

Update page title and subtitle in app.py

Refactor imports and update page title and texts

Update page title and subtitle in app.py

Add files via upload

Refactor import statements in app.py

add init

Added Dev Container Folder

Add imports for path handling and Streamlit

Add files via upload