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>
46 lines
450 B
Plaintext
46 lines
450 B
Plaintext
# Build directories
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build/
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cmake-build-*/
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out/
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# vcpkg
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vcpkg_installed/
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# IDE
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.vscode/
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.idea/
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*.swp
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*.swo
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*~
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# Compiled files
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*.o
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*.a
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*.so
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*.exe
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# Environment and secrets
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.env
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# Recordings (generated at runtime)
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recordings/*.wav
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recordings/*.mp3
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recordings/*.txt
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recordings/*.md
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recordings/*.json
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!recordings/.gitkeep
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# Logs
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*.log
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# OS
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.DS_Store
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Thumbs.db
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# CMake
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CMakeCache.txt
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CMakeFiles/
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cmake_install.cmake
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Makefile
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compile_commands.json
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