Fix Gradio 4.x every= deprecation: use gr.Timer for auto-refresh

Reduce training to 500 steps with tightened curriculum for A10G budget

Add Gradio training monitor and fix subprocess python path

Fix eval device selection with CUDA-safe fallback

Add interactive Gradio demo at /demo in env Space

Optimize for A100 80GB: 8 generations, batch 4, lr 2e-5, dense logging

Restore full 1000-step training with original curriculum

Reduce training to 500 steps with tightened curriculum for A10G budget

"Update: Minor fixes"

Add Gradio training monitor and fix subprocess python path

Curated the bugs dataset

Resolved README Merge conflicts

Update: Started making changes for the hackathon

Updated README.md

Update: Refined and validated values

Update: Even more Final README.md update

Update: Final README.md update

Update: Final README.md update

Fix: Changed environment variables and added validator

Fix: Final submission cleanup, unified identity and integrity markers

Update: Made refinements to the project

Fix: Revise README for improved clarity and detail

Update: README

Fix: Changed scores range

Fix: Changed dependencies

Fix: Change in gitignore

Fix: Remove gitignore from commits

Fix: Formatted the output

Update: Dockerfile and inference.py

Fix: precaution to prevent infinite loop

Fix: Fixed exception handling in inference.py

docs: updated the readme and added a license

docs: updated the readme and added a license

fix: score floor for medium grader, add root and tasks endpoints

Cleaner code and logic improvement

docs: final professional polish and code sanitization

Add server/app.py entry point for OpenEnv validation

chore: include lockfile for reproducible deployment

Update pyproject.toml for OpenEnv validation

Add pyproject.toml for OpenEnv validation

made changes to server.py

deleted implementation plan

Updated readme

Add HuggingFace SDK frontmatter to README

complete project

Added testing files

adding dockerfile

first commit