# ─── Core ML / AI ─────────────────────────────────────────────────────────────
torch>=2.0.0,<3.0.0
transformers>=4.40.0
faster-whisper>=1.0.0          # Whisper ASR via CTranslate2 - MIT
silero-vad>=5.1                # Server-side VAD before ASR - MIT
sentencepiece>=0.2.0           # Tokenizer dependency

# ─── GGUF / LLM inference (CPU-native int4) ───────────────────────────────────
# Pre-built CPU wheel; no CUDA / Metal compilation needed
llama-cpp-python>=0.2.90

# ─── Web / API ────────────────────────────────────────────────────────────────
fastapi>=0.100.0
uvicorn[standard]>=0.24.0
pydantic>=2.0.0
edge-tts>=7.2.3

# ─── Audio & Signal Processing ────────────────────────────────────────────────
soundfile>=0.12.1
numpy>=1.24.0
scipy>=1.11.0

# ─── Utilities ────────────────────────────────────────────────────────────────
tqdm>=4.66.0
huggingface-hub>=0.20.0