Updated Gradio Demo

Updated discovery dataset for demo

Updated Dockerfile and some model issues

updated readme, ruff formatted all files

Merge pull request #1 from Advancement

Cleaned up code, added multiseed training wrapper, PyTorch profiler training option, updated gradio demo, made changes to research paper to match new changes and new training results from adding new training techniques, architecture.md now explains all designs and decisions

Added many new improvements based on feedback from others

Updated gradio version to fix HfFolder import error

Updated Research Paper, README, and old gradio about info, along with other docs.

Added separate academic and research versions of the research paper

Full training results & evaluation with BERTScore

Add evaluation_report.json for metrics display

Add metrics tab with evaluation report, show all labels

Force HF Space rebuild with cache bust

Updated Gradio Demo to match new approac for book descritpions and shown metrics

Medium training run

Fix literary summaries: exclude plays/epics, use human summaries from BookSum

Fix literary summaries: use only BookSum data (not Gutenberg excerpts)

Medium training run

Fix regression: restore balanced training settings, add technical manual filter

Medium training run

Major improvements: real titles, anti-overfitting, better demo UX

Merge remote-tracking branch 'refs/remotes/origin/main'

Medium training run

Changed license

New trianing run on english only data

Add English language filter to all data downloads

Updated Training run, fixed dataset langauge issue

Improve discovery dataset quality

Demo requirements bug fix

Fix type hints in demo_gradio.py for Pylance

Trigger rebuild

Use HF Datasets for discovery demo

Fix catalog.json path resolution for HF Space

Redesign Gradio demo as book/paper discovery tool

Fix Gradio demo metrics display and visualization script MLflow URI

Updated the model with new bug fixes

Fixed compiling issue, added legnth penalty, and atttempting freezing encoder layers 0-5 to lower parameters and preserve T5's langauge understanding.

Optimize Docker for CPU-only (10x faster builds)

Remove custom theme - use Gradio default for compatibility

Ignore mlruns.db binary file

Minor fixes to Gradio and visualization scripts

Improve emotion task architecture and fix visualizations

Clean up codebase and fix training bugs

Fix Gradio demo: whole-book summaries, emotion sorting, styling

Add demo data for HF Space (books + news samples)

Redesign Gradio demo with book/news browsing, update .gitignore

Update Gradio demo, inference factory, and evaluation results

Update Gradio demo, inference factory, and evaluation results

Update LexiMind: improved training, model architecture, and evaluation