Add Tauri v2 + Svelte 5 frontend and headless Python backend
Scaffold the cross-platform rewrite from PySide6/Qt to Tauri + Svelte, following the same architecture as voice-to-notes. The Python backend runs headless as a sidecar, with a FastAPI control API that the Svelte frontend connects to via REST and WebSocket. New files: - backend/app_controller.py: Headless orchestration (extracted from MainWindow) - backend/api_server.py: FastAPI control endpoints + /ws/control WebSocket - backend/main_headless.py: Headless entry point for sidecar mode - src-tauri/: Tauri v2 Rust shell with sidecar and dialog plugins - src/: Svelte 5 frontend (App, Settings, Controls, TranscriptionDisplay) - src/lib/stores/: Reactive stores for backend connection, config, transcriptions Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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src-tauri/Cargo.toml
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src-tauri/Cargo.toml
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[package]
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name = "local-transcription"
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version = "1.4.0"
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description = "Real-time speech-to-text transcription for streamers"
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authors = ["Local Transcription Contributors"]
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edition = "2021"
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[lib]
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name = "local_transcription_lib"
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crate-type = ["lib", "cdylib", "staticlib"]
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[build-dependencies]
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tauri-build = { version = "2", features = [] }
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[dependencies]
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tauri = { version = "2", features = [] }
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tauri-plugin-shell = "2"
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tauri-plugin-dialog = "2"
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tauri-plugin-process = "2"
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serde = { version = "1", features = ["derive"] }
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serde_json = "1"
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