warren
d6af9546ea
- Add whatlang for real-time language detection per segment - Generate .asr.json (basic) and .asrx.json (with language labels) - Add auto-save progress with configurable interval - Add resume functionality for interrupted transcriptions - Add Music/Empty detection and statistics - Update progress display with unified format - Add comprehensive Chinese README with usage documentation
39 lines
1.1 KiB
TOML
39 lines
1.1 KiB
TOML
[package]
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name = "rust-scribe"
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version = "0.1.0"
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edition = "2021"
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description = "A high-performance video/audio transcriber with timestamps using Rust and Whisper."
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authors = ["Warren Lo"]
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[dependencies]
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# FFmpeg 綁定：用於音頻提取和重採樣
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ffmpeg-next = "8.0"
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# Whisper.cpp 的 Rust 綁定：核心轉寫引擎
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whisper-rs = "0.12"
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whisper-rs-sys = "0.10"
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# 用於命令行參數解析 (比手動解析更專業)
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clap = { version = "4.5", features = ["derive"] }
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# 用於處理錯誤
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anyhow = "1.0"
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# 可選：如果 whisper-rs 需要額外的數學運算支持
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ndarray = "0.15"
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serde = { version = "1.0", features = ["derive"] }
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serde_json = "1.0"
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lazy_static = "1.4"
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whatlang = "0.16"
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# --- 新增以下內容 ---
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[target.'cfg(target_os = "macos")'.dependencies]
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# 如果未來需要顯式依賴某些 crate 可放在這裡
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# 關鍵：告訴 cargo 在 macOS 上編譯 whisper-rs (當啟用 metal 時) 需要連結哪些框架
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# 注意：whisper-rs 的 build script 通常會自動處理，但有時需要手動干預
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# 更可靠的方法是在 .cargo/config.toml 中設置
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