- Conversie paralelă cu ProcessPoolExecutor (4 workers default)
- Tabele: font 8.5pt, padding compact, word-break pentru text lung
- code-friendly extra previne pierderea _ din nume de fișiere
- find_files caută toate *.md din summaries/, nu doar MODUL*
- .gitignore: adaugă .claude/ (local state)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Add 41 transcript files and 31 summary files to version control.
Previously excluded via .gitignore — now tracked for backup and portability.
SRT subtitle files remain excluded (derivable from transcripts).
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Adaugă al 4-lea nivel de sumarizare: caiete de facilitator cu corelații
cross-disciplinare (IFS, CNV, attachment theory, Brené Brown, neuroștiință),
exerciții cu script complet, și ghiduri de aplicare cu secvențe de cadrare
pentru 4 contexte (grup NLP, cercetași, CNV, self-coaching).
Fișiere noi (în summaries/, ne-tracked de .gitignore):
- 5 caiete: MODUL{1-5}_{CONCEPT}.md
- 5 aplicări: MODUL{1-5}_{CONCEPT}_APLICARI.md
- 5 cross-modul: INDEX_EXERCITII, HARTA_CONEXIUNI, GLOSAR_CREDINTE,
GHID_FACILITARE, METAFORE_POVESTI
Tracked:
- PROMPT_EXPERIENTIAL.md: prompt reutilizabil pentru M6
- TODOS.md: instrucțiuni complete pentru M6 (run.bat 6 + sumarizări + caiet)
- md_to_pdf.py: convertor markdown→PDF pentru summaries
- PROCES_SUMARIZARE.md: documentație proces sumarizare standard
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Add manifest.json to .gitignore so it doesn't conflict between machines.
Also add CLAUDE.md for Claude Code guidance.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- run.bat: one-click pipeline (download, convert, transcribe)
- download.py: fetch audio from course platform
- transcribe.py: whisper.cpp batch transcription (CPU, WAV 16kHz)
- MP3->WAV conversion via ffmpeg
- --modules filter for splitting work across machines
- summarize.py: generate summaries from transcripts
- setup_whisper.py: auto-download whisper.cpp, ffmpeg, and model
- Medium model (q5_0) instead of large to avoid VRAM crashes
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
