- Resume Profile tab: upload widget replaces error+stop when YAML missing;
collapsed "Replace Resume" expander when profile exists; saves parsed
data and raw text (for LLM context) in one step
- FILL_IN banner with clickable link to Setup wizard when incomplete fields detected
- Ollama not reachable hint references Services section below
- Fine-tune hint clarifies "My Profile tab above" with inference profile names
- vLLM no-models hint links to Fine-Tune tab
Removed the dropdown-based sidebar panel in favour of ✨ Generate buttons
placed directly below Career Summary, Voice & Personality, and each Mission
& Values row. Prompts now incorporate the live field value as a draft to
improve, plus resume experience bullets as context for Career Summary.
Replace chip-button tag management with st.multiselect backed by bundled
suggestions. Existing user tags are preserved as custom options alongside
the suggestion list. Custom tag input validates through filter_tag() before
adding — rejects URLs, profanity, overlong strings, and bad characters.
Changes auto-save on multiselect interaction; custom tags append on + click.
- setup.sh: replace docker-image-based NVIDIA test with nvidia-ctk validate
(faster, no 100MB pull, no daemon required); add check_docker_running()
to auto-start the Docker service on Linux or warn on macOS
- prepare_training_data.py: also scan training_data/uploads/*.{md,txt}
so web-uploaded letters are included in training data
- task_runner.py: add prepare_training task type (calls build_records +
write_jsonl inline; reports pair count in task result)
- Settings fine-tune tab: Step 1 accepts .md/.txt uploads; Step 2 Extract
button submits prepare_training background task + shows status; Step 3
shows make finetune command + live Ollama model status poller
LGBTQIA+ inclusion section in research briefs:
- user_profile.py: add candidate_lgbtq_focus bool accessor
- user.yaml.example: add candidate_lgbtq_focus flag (default false)
- company_research.py: gate new LGBTQIA+ section behind flag; section
count now dynamic (7 base + 1 per opt-in section, max 9)
- 2_Settings.py: add "Research Brief Preferences" expander with
checkboxes for both accessibility and LGBTQIA+ focus flags;
mission_preferences now round-trips through save (no silent drop)
Phase 2 fixes:
- manage-vllm.sh: MODEL_DIR and VLLM_BIN now read from env vars
(VLLM_MODELS_DIR, VLLM_BIN) with portable defaults
- search_profiles.yaml: replace personal CS/TAM/Bay Area profiles
with a documented generic starter profile
Phase 3 fix:
- llm.yaml: rename alex-cover-writer:latest → llama3.2:3b with
inline comment for users to substitute their fine-tuned model;
fix model-exclusion comment
- Add moondream2 vision service to compose.yml (single-gpu + dual-gpu profiles)
- Create scripts/vision_service/Dockerfile for the vision container
- Add VISION_PORT, VISION_MODEL, VISION_REVISION vars to .env.example
- Add Vision Service entry to SERVICES list in Settings (hidden unless gpu profile active)
- Add Fine-Tune Wizard tab (Task 10) to Settings with 3-step upload→preview→train flow
- Tab is always rendered; shows info message when non-GPU profile is active
Replace hardcoded systemd/shell-script service commands with docker compose
profile-aware commands. Add inference_profile-based filtering (hidden flag
removes Ollama on remote profile, vLLM unless dual-gpu). Replace TCP socket
health check with HTTP-based _port_open() that accepts host/ssl/verify params
for remote/TLS-terminated service support.
