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>

.env.example

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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