browser-captions/.env.example
bunker-admin c7becf330c Initial commit: Live Captions web application
Real-time speech-to-text using OpenAI Whisper (faster-whisper).
Features browser audio capture, WebSocket streaming, and customizable display settings.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-12 08:53:40 -07:00

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# Server settings
HOST=0.0.0.0
PORT=5000
DEBUG=false
# Whisper settings
WHISPER_MODEL=base
# Device: cpu or cuda (for NVIDIA GPU)
WHISPER_DEVICE=cpu
# Compute type:
# CPU: int8 (fastest), float32
# GPU: float16 (recommended), int8_float16, float32
WHISPER_COMPUTE_TYPE=int8
# Audio settings
AUDIO_CHUNK_DURATION=3
AUDIO_SAMPLE_RATE=16000
# Database
DATABASE_PATH=data/settings.db
# =============================================================================
# GPU Configuration (optional)
# =============================================================================
# To enable NVIDIA GPU support:
# 1. Install NVIDIA Container Toolkit (see CLAUDE.md for instructions)
# 2. Set WHISPER_DEVICE=cuda
# 3. Set WHISPER_COMPUTE_TYPE=float16 (recommended for GPU)
# 4. Run with: docker compose -f docker-compose.yml -f docker-compose.gpu.yml up --build
#
# Example GPU settings:
# WHISPER_DEVICE=cuda
# WHISPER_COMPUTE_TYPE=float16