.env.example

# Required for summary generation (Step 5)
# GHOSTMEET_ANTHROPIC_KEY=sk-ant-...

# Whisper model: tiny, base, small (default: base)
# GHOSTMEET_MODEL=base

# Compute device: auto, cpu, cuda (default: auto)
# GHOSTMEET_DEVICE=auto

# Precision: float32, float16, int8 (default: float32). int8 is much faster on CPU.
# GHOSTMEET_COMPUTE_TYPE=float32

# Bind address (default: 127.0.0.1). The API has no authentication, so anything other
# than loopback puts your meeting transcripts on the network.
# GHOSTMEET_HOST=127.0.0.1

# Language: en, ko, ja, zh, etc. (default: auto-detect)
# GHOSTMEET_LANGUAGE=

# Chunk interval in seconds for near-real-time transcription (default: 10)
# Lower = faster captions but more CPU, Higher = more accurate but delayed
# GHOSTMEET_CHUNK_INTERVAL=10