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Transform isair/jarvis into a Discord-controlled voice assistant running on the Ubuntu VNC desktop, keeping the mature ~39k-line Python brain intact. - bot/ (Node + bun, discord.js): /자비스 slash commands (ephemeral), voice channel join + voice receive/playback, pluggable VNC screen broadcast (selfbot live / noVNC / screenshot) - bridge/ (Python, Flask): wraps jarvis STT + run_reply_engine + Piper TTS behind a thin localhost HTTP API - .env.example, scripts/ (start_bridge/start_bot/dev), README rewrite, docs/language-comparison.md and docs/vnc-xfce-setup.md Language decision: hybrid (Python brain + Node/bun Discord layer) because Discord blocks bot video; native screen broadcast only works via a Node selfbot library.
41 lines
958 B
Plaintext
41 lines
958 B
Plaintext
python-dotenv==1.0.1
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flask>=3.0.0
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requests==2.32.3
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beautifulsoup4>=4.12.0
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lxml>=4.9.0
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html2text>=2020.1.16
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playwright>=1.40.0
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numpy<2.0.0
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faster-whisper==1.0.3
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setuptools<81
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sounddevice==0.4.7
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pytesseract==0.3.13
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Pillow==10.4.0
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webrtcvad==2.0.10
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rapidfuzz==3.6.1
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pynput>=1.7.6
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geoip2==4.8.0
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tzdata==2026.1; sys_platform == "win32"
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miniupnpc==2.2.8
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pytest==8.3.2
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pytest-repeat==0.9.3
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mcp==1.13.1
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chatterbox-tts==0.1.2
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piper-tts>=1.3.0
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pygame>=2.1.0
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faiss-cpu>=1.7.4
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# NVIDIA CUDA libraries for GPU-accelerated speech recognition on Windows
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nvidia-cublas-cu12>=12.8.0; sys_platform == "win32"
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nvidia-cudnn-cu12>=9.0.0; sys_platform == "win32"
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# MLX Whisper for Apple Silicon Macs (much faster than CPU-based faster-whisper)
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mlx-whisper>=0.4.0; sys_platform == "darwin" and platform_machine == "arm64"
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# Desktop app dependencies
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PyQt6>=6.6.0
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PyQt6-WebEngine>=6.6.0
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psutil>=5.9.0
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# Note: 6.13.0+ has VC runtime pre-loading fix for Windows
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pyinstaller>=6.13.0
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