fix: remove root app.py — HF defaults to app.py over app_file setting

fix: downgrade sdk_version 1.44.0→1.40.0 — HF health check compatibility

diag: minimal 5-line app + disable usage stats — isolate Starting issue

fix: cache_resource warm-up — spinner flushes before heavy imports block

diag: print checkpoints + visible loading banner; expose errors to stderr

fix: call set_page_config before heavy imports; patch duplicate call

fix: use exec() wrapper — eliminates double set_page_config crash

fix: set_page_config before heavy import; cache_resource spinner; no-op patch

fix: importlib wrapper with correct __file__; remove garbage files

diag: wrap module-level imports to surface crash error

fix: move streamlit_app.py to root; fix sys.path for new location

fix: use app.py as Streamlit entry point (HF default)

diag: minimal test to confirm Space runs our file

fix: add openenv back; catch BaseException to surface crash cause

blog added

fix: use importlib to load demo app + streamlit config.toml

fix: catch startup errors and display them instead of crash-looping

fix: use exec() to run demo app with correct __file__ context

fix: add root streamlit_app.py entry point; HF was running default demo

feat: add Training Space link to Training tab; fix Space URL in app.py

deploy: Streamlit Space setup + button-triggered training

final commits

fix: quality demo

trained evironment UI fixes

fix: install nvidia-cudnn-cu12 alongside CUDA torch (removes --no-deps)

fix: force-reinstall CUDA torch before gradio import; populate logs on page load

fix: eliminate API leaks in training loop, set 30k steps for A100

Fix CPU training + 1902ms step speed bottleneck

fix: push reward curve + logs every 10k steps, not just at training end

perf: add encode+step benchmark to logs, validate CUDA speed

perf: force ST to CUDA, disable LLM tasks, reduce to 100k steps

feat: integrate trained RecurrentPPO policy into Streamlit demo UI

fix: force-install CUDA torch in app.py before training starts

fix: remove torch from requirements to preserve pre-installed CUDA torch

fix: install CUDA-enabled torch for GPU spaces

pre-deployment fixes for HF Spaces

Update Cell 1 & 2 with user-verified working versions

Bulletproof Cell 1: check .git dir, rm partial clone, correct REPO path

Fix REPO path: clone root is /content/kuchbhi not /content/kuchbhi/spindleflow-rl

Rewrite train_colab.py: clean cells, fix audioop-lts, log file, reward curve

Remove Colab notebook — using plain .py script instead

Fix Cell 1: skip audioop-lts on Python < 3.13 (Colab uses 3.12)

Add Colab notebook: 8 runnable cells, both secrets, log + curve

Final Colab training script: log file, fixed reward curve, 100k steps

Add HF Hub push cell + fix pip deps in Colab training script

Remove gr.Timer: caused C-level crash with no Python output

Fix logs not showing: use file-based state instead of in-memory globals

Add auto-refresh timer and dark theme CSS

Fix theme/css: keep in Blocks(), not launch()

Improve Gradio UI: fix theme, add CSS, clean up layout