StillHammer
5b60acaa73
Complete implementation of the real-time Chinese-to-French translation system: Architecture: - 3-threaded pipeline: Audio capture → AI processing → UI rendering - Thread-safe queues for inter-thread communication - Configurable audio chunk sizes for latency tuning Core Features: - Audio capture with PortAudio (configurable sample rate/channels) - Whisper API integration for Chinese speech-to-text - Claude API integration for Chinese-to-French translation - ImGui real-time display with stop button - Full recording saved to WAV on stop Modules Implemented: - audio/: AudioCapture (PortAudio wrapper) + AudioBuffer (WAV export) - api/: WhisperClient + ClaudeClient (HTTP API wrappers) - ui/: TranslationUI (ImGui interface) - core/: Pipeline (orchestrates all threads) - utils/: Config (JSON/.env loader) + ThreadSafeQueue (template) Build System: - CMake with vcpkg for dependency management - vcpkg.json manifest for reproducible builds - build.sh helper script Configuration: - config.json: Audio settings, API parameters, UI config - .env: API keys (OpenAI + Anthropic) Documentation: - README.md: Setup instructions, usage, architecture - docs/implementation_plan.md: Technical design document - docs/SecondVoice.md: Project vision and motivation Next Steps: - Test build with vcpkg dependencies - Test audio capture on real hardware - Validate API integrations - Tune chunk size for optimal latency 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> |
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