Web STT: speaker diarization via pyannote; whisper_stt snapshot validation

- Add app/diarize.py: merge faster-whisper segments with pyannote (A/B/C)
- Wire /api/jobs and /api/transcribe; job API returns speaker_diarization, diarize_skip_reason
- UI: meta line shows diarization applied/skipped; hint for models path
- requirements.txt: pyannote.audio; README APP_DIARIZE / APP_PYANNOTE_MODEL_DIR
- whisper_stt.py: validate config.yaml before loading pipeline
- requirements-whisper-stt.txt: minor doc updates if any

Made-with: Cursor

requirements-whisper-stt.txt

@@ -13,12 +13,28 @@
 #
 # 2) 이미 깨진 경우(위 오류가 난 뒤) 복구:
 #    conda activate stt   # 또는 ncue 등 해당 env
-#    pip uninstall -y torch torchvision torchaudio
-#    pip uninstall -y torch torchvision torchaudio   # "WARNING: Skipping" 나올 때까지 반복
+#    pip uninstall -y torch torchvision torchaudio functorch
+#    pip uninstall -y torch torchvision torchaudio functorch   # Skipping만 나올 때까지 반복
 #    pip cache purge
 #    pip install torch torchaudio --index-url https://download.pytorch.org/whl/cpu
 #    pip install -r requirements-whisper-stt.txt
 #
+# 3) 2)를 해도 "ATen.h" / OSError 가 나면 — site-packages 에 깨진 torch 잔여 디렉터리가 남은 경우:
+#    conda activate <env>
+#    pip uninstall -y torch torchvision torchaudio functorch 2>/dev/null; true
+#    rm -rf "$CONDA_PREFIX/lib/python3.11/site-packages/torch" \
+#           "$CONDA_PREFIX/lib/python3.11/site-packages/torch-"*.dist-info \
+#           "$CONDA_PREFIX/lib/python3.11/site-packages/torchaudio" \
+#           "$CONDA_PREFIX/lib/python3.11/site-packages/torchaudio-"*.dist-info \
+#           "$CONDA_PREFIX/lib/python3.11/site-packages/torchgen" \
+#           "$CONDA_PREFIX/lib/python3.11/site-packages/functorch"
+#    (Python 버전이 3.12면 경로의 python3.11 을 python3.12 로 바꿀 것)
+#    pip cache purge
+#    pip install torch torchaudio --index-url https://download.pytorch.org/whl/cpu
+#    pip install -r requirements-whisper-stt.txt
+#
+# 4) 그래도 안 되면: conda create -n stt-whisper python=3.11 -y 후 1)부터 새 env에만 설치
+#
 # GPU(CUDA) 쓰는 경우: https://pytorch.org/get-started/locally/ 에서 맞는 pip/conda 명령 사용
 #
 # CLI: PATH에 hf — pip install huggingface_hub 후 hf auth login