不重要了

README.md

@@ -43,7 +43,7 @@ npm install
 ```bash
 export OPENAI_API_BASE=https://your-openai-compatible-endpoint/v1
 export OPENAI_API_KEY=your_api_key
-export OPENAI_MODEL=gpt-4o-mini
+export OPENAI_MODEL=GLM-4-Flash-250414
 ```
 
 6. 若要真正启用 ONNX Runtime 推理，请确保本机存在可被 `ort` 动态加载的 ONNX Runtime 库，或按你的部署方式提供运行库。

package.json

@@ -5,9 +5,14 @@
   "type": "module",
   "scripts": {
     "dev": "vite",
-    "tauri": "tauri dev",
+    "tauri-dev": "tauri dev",
+    "tauri": "tauri",
     "build": "vue-tsc --noEmit && vite build",
-    "preview": "vite preview"
+    "preview": "vite preview",
+    "prepare-ffmpeg-macos": "sh ./scripts/prepare-bundled-ffmpeg.sh",
+    "prepare-licenses-macos": "python3 ./scripts/prepare-bundled-licenses.py",
+    "tauri-build-app": "npm run prepare-ffmpeg-macos && npm run prepare-licenses-macos && tauri build --bundles app",
+    "tauri-build-dmg": "sh ./scripts/build-macos-dmg.sh"
   },
   "dependencies": {
     "@tauri-apps/api": "^2.0.0",

scripts/build-macos-dmg.sh

@@ -0,0 +1,35 @@
+#!/bin/sh
+
+set -eu
+
+ROOT_DIR=$(CDPATH= cd -- "$(dirname -- "$0")/.." && pwd)
+APP_NAME="CrossSubtitle-AI"
+VERSION=$(node -p "require('$ROOT_DIR/package.json').version")
+ARCH=$(uname -m)
+APP_PATH="$ROOT_DIR/src-tauri/target/release/bundle/macos/$APP_NAME.app"
+DMG_DIR="$ROOT_DIR/src-tauri/target/release/bundle/dmg"
+DMG_PATH="$DMG_DIR/${APP_NAME}_${VERSION}_${ARCH}.dmg"
+STAGING_DIR=$(mktemp -d "${TMPDIR:-/tmp}/crosssubtitle-dmg.XXXXXX")
+
+cleanup() {
+  rm -rf "$STAGING_DIR"
+}
+
+trap cleanup EXIT
+
+cd "$ROOT_DIR"
+npm run tauri-build-app
+
+mkdir -p "$DMG_DIR"
+rm -f "$DMG_PATH"
+ditto "$APP_PATH" "$STAGING_DIR/$APP_NAME.app"
+ln -s /Applications "$STAGING_DIR/Applications"
+
+hdiutil create \
+  -volname "$APP_NAME" \
+  -srcfolder "$STAGING_DIR" \
+  -ov \
+  -format UDZO \
+  "$DMG_PATH"
+
+printf 'DMG created: %s\n' "$DMG_PATH"

scripts/prepare-bundled-ffmpeg.sh

@@ -0,0 +1,156 @@
+#!/bin/sh
+
+set -eu
+
+ROOT_DIR=$(CDPATH= cd -- "$(dirname -- "$0")/.." && pwd)
+TARGET_ARCH=$(uname -m)
+FFMPEG_SOURCE=${FFMPEG_SOURCE_PATH:-$(command -v ffmpeg)}
+VENDOR_ROOT="$ROOT_DIR/src-tauri/vendor/ffmpeg/macos-$TARGET_ARCH"
+BIN_DIR="$VENDOR_ROOT/bin"
+LIB_DIR="$VENDOR_ROOT/lib"
+MARK_DIR="$VENDOR_ROOT/.processed"
+
+rm -rf "$VENDOR_ROOT"
+mkdir -p "$BIN_DIR" "$LIB_DIR" "$MARK_DIR"
+
+copy_binary() {
+  src_path=$1
+  dest_path=$2
+  cp -fL "$src_path" "$dest_path"
+  chmod 755 "$dest_path"
+}
+
+resolve_dep_source() {
+  file_path=$1
+  dep_path=$2
+
+  case "$dep_path" in
+    /System/*|/usr/lib/*)
+      return 1
+      ;;
+    /*)
+      if [ -f "$dep_path" ]; then
+        printf '%s\n' "$dep_path"
+        return 0
+      fi
+      ;;
+    @loader_path/*)
+      candidate="$(dirname "$file_path")/$(basename "$dep_path")"
+      if [ -f "$candidate" ]; then
+        printf '%s\n' "$candidate"
+        return 0
+      fi
+      ;;
+    @executable_path/*)
+      candidate="$LIB_DIR/$(basename "$dep_path")"
+      if [ -f "$candidate" ]; then
+        printf '%s\n' "$candidate"
+        return 0
+      fi
+      ;;
+    @rpath/*)
+      dep_name=$(basename "$dep_path")
+      for candidate in \
+        "$LIB_DIR/$dep_name" \
+        "/opt/homebrew/lib/$dep_name" \
+        $(find /opt/homebrew/Cellar -path "*/lib/$dep_name" -print 2>/dev/null)
+      do
+        if [ -n "$candidate" ] && [ -f "$candidate" ]; then
+          printf '%s\n' "$candidate"
+          return 0
+        fi
+      done
+      ;;
+  esac
+
+  return 1
+}
+
+marker_path() {
+  printf '%s' "$1" | shasum -a 1 | awk '{print "'"$MARK_DIR"'/" $1 ".done"}'
+}
+
+process_file() {
+  file_path=$1
+  loader_prefix=$2
+  mark_file=$(marker_path "$file_path")
+
+  if [ -f "$mark_file" ]; then
+    return
+  fi
+
+  : > "$mark_file"
+
+  otool -L "$file_path" | tail -n +2 | awk '{print $1}' | while read -r dep_path; do
+    resolved_dep=$(resolve_dep_source "$file_path" "$dep_path" || true)
+    if [ -z "$resolved_dep" ]; then
+      continue
+    fi
+
+    dep_name=$(basename "$resolved_dep")
+    vendored_dep="$LIB_DIR/$dep_name"
+
+    if [ ! -f "$vendored_dep" ]; then
+      copy_binary "$resolved_dep" "$vendored_dep"
+    fi
+
+    install_name_tool -change "$dep_path" "$loader_prefix/$dep_name" "$file_path"
+    process_file "$vendored_dep" "@loader_path"
+  done
+
+  if [ "$loader_prefix" = "@loader_path" ]; then
+    install_name_tool -id "@loader_path/$(basename "$file_path")" "$file_path"
+  fi
+}
+
+normalize_file() {
+  file_path=$1
+  loader_prefix=$2
+
+  otool -L "$file_path" | tail -n +2 | awk '{print $1}' | while read -r dep_path; do
+    case "$dep_path" in
+      /System/*|/usr/lib/*)
+        continue
+        ;;
+      @executable_path/*|@loader_path/*)
+        continue
+        ;;
+    esac
+
+    dep_name=$(basename "$dep_path")
+    vendored_dep="$LIB_DIR/$dep_name"
+    if [ -f "$vendored_dep" ]; then
+      install_name_tool -change "$dep_path" "$loader_prefix/$dep_name" "$file_path"
+    fi
+  done
+
+  if [ "$loader_prefix" = "@loader_path" ]; then
+    install_name_tool -id "@loader_path/$(basename "$file_path")" "$file_path"
+  fi
+}
+
+sign_file() {
+  file_path=$1
+  codesign --force --sign - --timestamp=none "$file_path" >/dev/null 2>&1
+}
+
+echo "Bundling ffmpeg from: $FFMPEG_SOURCE"
+copy_binary "$FFMPEG_SOURCE" "$BIN_DIR/ffmpeg"
+process_file "$BIN_DIR/ffmpeg" "@executable_path/../lib"
+normalize_file "$BIN_DIR/ffmpeg" "@executable_path/../lib"
+
+find "$LIB_DIR" -type f -name '*.dylib' | while read -r dylib_path; do
+  normalize_file "$dylib_path" "@loader_path"
+done
+
+find "$LIB_DIR" -type f -name '*.dylib' | while read -r dylib_path; do
+  normalize_file "$dylib_path" "@loader_path"
+done
+
+find "$LIB_DIR" -type f -name '*.dylib' | while read -r dylib_path; do
+  sign_file "$dylib_path"
+done
+
+sign_file "$BIN_DIR/ffmpeg"
+
+echo "Bundled ffmpeg ready at: $VENDOR_ROOT"

scripts/prepare-bundled-licenses.py

@@ -0,0 +1,119 @@
+#!/usr/bin/env python3
+
+from __future__ import annotations
+
+import json
+import shutil
+from pathlib import Path
+
+
+ROOT_DIR = Path(__file__).resolve().parent.parent
+CELLAR_DIR = Path("/opt/homebrew/Cellar")
+LICENSE_ROOT = ROOT_DIR / "src-tauri" / "vendor" / "licenses" / "homebrew"
+LICENSE_BUNDLE_ROOT = ROOT_DIR / "src-tauri" / "vendor" / "licenses_bundle"
+FFMPEG_RECEIPT = sorted(CELLAR_DIR.glob("ffmpeg/*/INSTALL_RECEIPT.json"))[-1]
+LICENSE_PATTERNS = [
+    "LICENSE*",
+    "LICENCE*",
+    "COPYING*",
+    "COPYRIGHT*",
+    "NOTICE*",
+]
+
+
+def load_runtime_formulas() -> list[tuple[str, str | None]]:
+    data = json.loads(FFMPEG_RECEIPT.read_text())
+    formulas: list[tuple[str, str | None]] = [("ffmpeg", None)]
+    for item in data.get("runtime_dependencies", []):
+        full_name = item.get("full_name")
+        version = item.get("version")
+        if full_name:
+            formulas.append((full_name, version))
+    return formulas
+
+
+def resolve_formula_dir(name: str, version: str | None) -> Path | None:
+    if version:
+        exact = CELLAR_DIR / name / version
+        if exact.exists():
+            return exact
+    matches = sorted((CELLAR_DIR / name).glob("*"))
+    return matches[-1] if matches else None
+
+
+def collect_license_files(formula_dir: Path) -> list[Path]:
+    found: list[Path] = []
+    seen: set[Path] = set()
+    for pattern in LICENSE_PATTERNS:
+        for path in sorted(formula_dir.rglob(pattern)):
+            if path.is_file() and path not in seen:
+                seen.add(path)
+                found.append(path)
+    return found
+
+
+def main() -> None:
+    if LICENSE_ROOT.exists():
+        shutil.rmtree(LICENSE_ROOT)
+    LICENSE_ROOT.mkdir(parents=True, exist_ok=True)
+    LICENSE_BUNDLE_ROOT.mkdir(parents=True, exist_ok=True)
+
+    manifest_lines = [
+        "CrossSubtitle-AI Third-Party Notices",
+        "",
+        "This directory contains license files collected from Homebrew formulas",
+        "used by the bundled ffmpeg binary and its runtime dependencies.",
+        "",
+    ]
+
+    for formula_name, version in load_runtime_formulas():
+        formula_dir = resolve_formula_dir(formula_name, version)
+        target_dir = LICENSE_ROOT / formula_name.replace("@", "_at_")
+        target_dir.mkdir(parents=True, exist_ok=True)
+        target_dir.chmod(0o755)
+
+        if formula_dir is None:
+            manifest_lines.append(f"- {formula_name}: formula directory not found")
+            continue
+
+        copied: list[str] = []
+        for license_file in collect_license_files(formula_dir):
+            destination = target_dir / license_file.name
+            if destination.exists():
+                destination.chmod(0o644)
+            shutil.copy2(license_file, destination)
+            destination.chmod(0o644)
+            copied.append(license_file.name)
+
+        actual_version = formula_dir.name
+        if copied:
+            manifest_lines.append(
+                f"- {formula_name} ({actual_version}): {', '.join(sorted(copied))}"
+            )
+        else:
+            note = target_dir / "MISSING_LICENSE.txt"
+            note.write_text(
+                f"No license file matching common patterns was found in {formula_dir}\n"
+            )
+            manifest_lines.append(
+                f"- {formula_name} ({actual_version}): no matching license file found"
+            )
+
+    manifest_path = LICENSE_ROOT / "THIRD_PARTY_NOTICES.txt"
+    manifest_path.write_text("\n".join(manifest_lines) + "\n")
+    manifest_path.chmod(0o644)
+
+    bundle_manifest = LICENSE_BUNDLE_ROOT / "THIRD_PARTY_NOTICES.txt"
+    shutil.copy2(manifest_path, bundle_manifest)
+    bundle_manifest.chmod(0o644)
+
+    archive_base = LICENSE_BUNDLE_ROOT / "homebrew-licenses"
+    archive_path = shutil.make_archive(str(archive_base), "zip", LICENSE_ROOT)
+    Path(archive_path).chmod(0o644)
+
+    print(f"Prepared bundled licenses at: {LICENSE_ROOT}")
+    print(f"Prepared bundled license archive at: {archive_path}")
+
+
+if __name__ == "__main__":
+    main()

src-tauri/icons/android/mipmap-anydpi-v26/ic_launcher.xml

@@ -0,0 +1,5 @@
+<?xml version="1.0" encoding="utf-8"?>
+<adaptive-icon xmlns:android="http://schemas.android.com/apk/res/android">
+  <foreground android:drawable="@mipmap/ic_launcher_foreground"/>
+  <background android:drawable="@color/ic_launcher_background"/>
+</adaptive-icon>

src-tauri/icons/android/values/ic_launcher_background.xml

@@ -0,0 +1,4 @@
+<?xml version="1.0" encoding="utf-8"?>
+<resources>
+  <color name="ic_launcher_background">#fff</color>
+</resources>

src-tauri/src/audio.rs

@@ -9,12 +9,19 @@ use anyhow::{anyhow, Context, Result};
 pub struct AudioPipeline;
 
 impl AudioPipeline {
-    pub fn extract_to_wav(input_path: &str, workspace: &Path) -> Result<PathBuf> {
+    pub fn extract_to_wav(ffmpeg_path: &Path, input_path: &str, workspace: &Path) -> Result<PathBuf> {
         fs::create_dir_all(workspace)
             .with_context(|| format!("failed to create workspace: {}", workspace.display()))?;
 
         let output_path = workspace.join("normalized.wav");
-        let status = Command::new("ffmpeg")
+        let mut command = Command::new(ffmpeg_path);
+        if let Some(lib_dir) = ffmpeg_path.parent().and_then(|bin_dir| bin_dir.parent()).map(|root| root.join("lib")) {
+            if lib_dir.exists() {
+                command.env("DYLD_FALLBACK_LIBRARY_PATH", &lib_dir);
+            }
+        }
+
+        let output = command
             .arg("-y")
             .arg("-i")
             .arg(input_path)
@@ -25,11 +32,19 @@ impl AudioPipeline {
             .arg("-f")
             .arg("wav")
             .arg(&output_path)
-            .status()
-            .context("failed to launch ffmpeg, please install ffmpeg and ensure it is in PATH")?;
+            .output()
+            .with_context(|| format!("failed to launch ffmpeg: {}", ffmpeg_path.display()))?;
 
-        if !status.success() {
-            return Err(anyhow!("ffmpeg exited with status: {status}"));
+        if !output.status.success() {
+            let stderr = String::from_utf8_lossy(&output.stderr).trim().to_string();
+            if stderr.is_empty() {
+                return Err(anyhow!("ffmpeg exited with status: {}", output.status));
+            }
+            return Err(anyhow!(
+                "ffmpeg exited with status: {} | stderr: {}",
+                output.status,
+                stderr
+            ));
         }
 
         Ok(output_path)

src-tauri/src/lib.rs

@@ -7,7 +7,7 @@ mod translate;
 mod vad;
 mod whisper;
 
-use models::{StartTaskPayload, SubtitleSegment, SubtitleTask};
+use models::{DefaultModelPaths, StartTaskPayload, SubtitleSegment, SubtitleTask};
 use state::AppState;
 use tauri::{
     menu::{MenuBuilder, MenuItemBuilder, PredefinedMenuItem, SubmenuBuilder},
@@ -59,6 +59,11 @@ fn export_subtitles(
     task::export_task(state, task_id, format).map_err(error_to_string)
 }
 
+#[tauri::command]
+fn get_default_model_paths(app: tauri::AppHandle) -> std::result::Result<DefaultModelPaths, String> {
+    task::get_default_model_paths(&app).map_err(error_to_string)
+}
+
 fn error_to_string(error: anyhow::Error) -> String {
     format!("{error:#}")
 }
@@ -78,7 +83,8 @@ pub fn run() {
             start_subtitle_task,
             list_tasks,
             update_segment_text,
-            export_subtitles
+            export_subtitles,
+            get_default_model_paths
         ])
         .run(tauri::generate_context!())
         .expect("error while running tauri application");

src-tauri/src/models.rs

@@ -111,3 +111,10 @@ pub struct TranslationConfig {
     pub batch_size: usize,
     pub context_size: usize,
 }
+
+#[derive(Debug, Clone, Serialize)]
+#[serde(rename_all = "camelCase")]
+pub struct DefaultModelPaths {
+    pub whisper_model_path: String,
+    pub vad_model_path: String,
+}

src-tauri/src/task.rs

@@ -1,6 +1,6 @@
 use std::{
     fs,
-    path::PathBuf,
+    path::{Path, PathBuf},
 };
 
 use anyhow::{Context, Result};
@@ -10,8 +10,8 @@ use uuid::Uuid;
 use crate::{
     audio::AudioPipeline,
     models::{
-        ErrorEvent, LogEvent, OutputMode, ProgressEvent, ResetSegmentsEvent, StartTaskPayload,
-        SubtitleSegment, SubtitleTask, TaskStatus, TranslationConfig,
+        DefaultModelPaths, ErrorEvent, LogEvent, OutputMode, ProgressEvent, ResetSegmentsEvent,
+        StartTaskPayload, SubtitleSegment, SubtitleTask, TaskStatus, TranslationConfig,
     },
     state::AppState,
     subtitle::{render, SubtitleFormat},
@@ -20,10 +20,12 @@ use crate::{
     whisper::WhisperEngine,
 };
 
-const DEFAULT_WHISPER_MODEL: &str =
-    "/Users/kura/Documents/work/tauri/CrossSubtitle/src-tauri/model/ggml-small-q5_1.bin";
-const DEFAULT_VAD_MODEL: &str =
-    "/Users/kura/Documents/work/tauri/CrossSubtitle/src-tauri/model/silero_vad.onnx";
+const DEFAULT_WHISPER_MODEL: &str = "model/ggml-small-q5_1.bin";
+const DEFAULT_VAD_MODEL: &str = "model/silero_vad.onnx";
+#[cfg(all(target_os = "macos", target_arch = "aarch64"))]
+const DEFAULT_FFMPEG_BINARY: &str = "vendor/ffmpeg/macos-arm64/bin/ffmpeg";
+#[cfg(all(target_os = "macos", target_arch = "x86_64"))]
+const DEFAULT_FFMPEG_BINARY: &str = "vendor/ffmpeg/macos-x86_64/bin/ffmpeg";
 
 pub async fn start_task(
     app: tauri::AppHandle,
@@ -32,10 +34,10 @@ pub async fn start_task(
     mut payload: StartTaskPayload,
 ) -> Result<SubtitleTask> {
     if payload.whisper_model_path.as_deref().is_none_or(str::is_empty) {
-        payload.whisper_model_path = Some(DEFAULT_WHISPER_MODEL.to_string());
+        payload.whisper_model_path = resolve_default_model_path(&app, DEFAULT_WHISPER_MODEL);
     }
     if payload.vad_model_path.as_deref().is_none_or(str::is_empty) {
-        payload.vad_model_path = Some(DEFAULT_VAD_MODEL.to_string());
+        payload.vad_model_path = resolve_default_model_path(&app, DEFAULT_VAD_MODEL);
     }
     if payload.source_lang.as_deref().is_none_or(str::is_empty) {
         payload.source_lang = Some("auto".to_string());
@@ -83,6 +85,58 @@ pub async fn start_task(
     Ok(task)
 }
 
+pub fn get_default_model_paths(app: &tauri::AppHandle) -> Result<DefaultModelPaths> {
+    let whisper_model_path = resolve_default_model_path(app, DEFAULT_WHISPER_MODEL)
+        .ok_or_else(|| anyhow::anyhow!("未找到内置 Whisper 模型: {}", DEFAULT_WHISPER_MODEL))?;
+    let vad_model_path = resolve_default_model_path(app, DEFAULT_VAD_MODEL)
+        .ok_or_else(|| anyhow::anyhow!("未找到内置 VAD 模型: {}", DEFAULT_VAD_MODEL))?;
+
+    Ok(DefaultModelPaths {
+        whisper_model_path,
+        vad_model_path,
+    })
+}
+
+fn resolve_default_model_path(app: &tauri::AppHandle, relative_path: &str) -> Option<String> {
+    if let Ok(resource_dir) = app.path().resource_dir() {
+        let bundled_path = resource_dir.join(relative_path);
+        if bundled_path.exists() {
+            return Some(bundled_path.to_string_lossy().to_string());
+        }
+    }
+
+    let local_fallback_path = Path::new(env!("CARGO_MANIFEST_DIR")).join(relative_path);
+    if local_fallback_path.exists() {
+        return Some(local_fallback_path.to_string_lossy().to_string());
+    }
+
+    None
+}
+
+fn resolve_ffmpeg_path(app: &tauri::AppHandle) -> Option<PathBuf> {
+    if let Ok(resource_dir) = app.path().resource_dir() {
+        let bundled_path = resource_dir.join(DEFAULT_FFMPEG_BINARY);
+        if bundled_path.exists() {
+            return Some(bundled_path);
+        }
+    }
+
+    let local_bundled_path = Path::new(env!("CARGO_MANIFEST_DIR")).join(DEFAULT_FFMPEG_BINARY);
+    if local_bundled_path.exists() {
+        return Some(local_bundled_path);
+    }
+
+    let path_var = std::env::var_os("PATH")?;
+    for directory in std::env::split_paths(&path_var) {
+        let candidate = directory.join("ffmpeg");
+        if candidate.exists() {
+            return Some(candidate);
+        }
+    }
+
+    None
+}
+
 async fn run_pipeline(
     app: tauri::AppHandle,
     window: Window,
@@ -92,10 +146,13 @@ async fn run_pipeline(
     let app_state = app.state::<AppState>();
     let workspace = std::env::temp_dir().join("crosssubtitle-ai").join(&task.id);
     let should_translate = matches!(payload.output_mode, OutputMode::Translate);
+    let ffmpeg_path = resolve_ffmpeg_path(&app)
+        .ok_or_else(|| anyhow::anyhow!("未找到可用 ffmpeg，请重新执行打包命令或在系统中安装 ffmpeg"))?;
 
     set_status(&window, &app_state, &mut task, TaskStatus::Extracting, 8.0, "正在抽取音频")?;
     emit_log(&window, &task.id, format!("task: input file={}", payload.file_path))?;
-    let wav_path = AudioPipeline::extract_to_wav(&payload.file_path, &workspace)?;
+    emit_log(&window, &task.id, format!("audio: ffmpeg={}", ffmpeg_path.display()))?;
+    let wav_path = AudioPipeline::extract_to_wav(&ffmpeg_path, &payload.file_path, &workspace)?;
     emit_log(&window, &task.id, format!("audio: normalized wav={}", wav_path.display()))?;
 
     set_status(&window, &app_state, &mut task, TaskStatus::VadProcessing, 22.0, "正在分析语音片段")?;
@@ -210,7 +267,7 @@ async fn run_pipeline(
 fn load_translation_config() -> Option<TranslationConfig> {
     let api_base = std::env::var("OPENAI_API_BASE").ok()?;
     let api_key = std::env::var("OPENAI_API_KEY").ok()?;
-    let model = std::env::var("OPENAI_MODEL").unwrap_or_else(|_| "gpt-4o-mini".to_string());
+    let model = std::env::var("OPENAI_MODEL").unwrap_or_else(|_| "GLM-4-Flash-250414".to_string());
     Some(TranslationConfig {
         api_base,
         api_key,

src-tauri/tauri.conf.json

@@ -27,7 +27,16 @@
   "bundle": {
     "active": true,
     "targets": "all",
-    "icon": [],
+    "icon": [
+      "icons/icon.png",
+      "icons/icon.icns"
+    ],
+    "resources": [
+      "model/ggml-small-q5_1.bin",
+      "model/silero_vad.onnx",
+      "vendor/ffmpeg/**/*",
+      "vendor/licenses_bundle/**/*"
+    ],
     "macOS": {
       "minimumSystemVersion": "10.15"
     }