NLP Master: pipeline download + transcribe + summarize

- 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>

.gitignore

@@ -0,0 +1,34 @@
+# Audio files
+audio/
+*.mp3
+*.wav
+
+# Whisper models
+models/
+*.bin
+
+# Credentials
+.env
+
+# Transcripts and summaries (large generated content)
+transcripts/
+summaries/
+
+# Binaries (downloaded by setup_whisper.py)
+whisper-bin/
+ffmpeg-bin/
+
+# Temp files
+.whisper_bin_path
+.ffmpeg_bin_path
+
+# WAV cache (converted from MP3)
+audio_wav/
+
+# Python
+__pycache__/
+*.pyc
+.venv/
+
+# Logs
+*.log