修复最后一批次的问题

src-tauri/src/audio.rs

@@ -22,7 +22,11 @@ impl AudioPipeline {
         let output_path = workspace.join("normalized.wav");
         let mut command = Command::new(ffmpeg_path);
         #[cfg(target_os = "macos")]
-        if let Some(lib_dir) = ffmpeg_path.parent().and_then(|bin_dir| bin_dir.parent()).map(|root| root.join("lib")) {
+        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);
             }
@@ -70,7 +74,9 @@ impl AudioPipeline {
             }
         }
 
-        let status = child.wait().with_context(|| "ffmpeg process failed to wait")?;
+        let status = child
+            .wait()
+            .with_context(|| "ffmpeg process failed to wait")?;
         if !status.success() {
             return Err(anyhow!("ffmpeg exited with status: {}", status));
         }
@@ -80,8 +86,8 @@ impl AudioPipeline {
     }
 
     pub fn load_wav_f32(path: &Path) -> Result<Vec<f32>> {
-        let mut reader =
+        let mut reader = hound::WavReader::open(path)
-            hound::WavReader::open(path).with_context(|| format!("failed to open {}", path.display()))?;
+            .with_context(|| format!("failed to open {}", path.display()))?;
         let spec = reader.spec();
 
         if spec.channels != 1 {
@@ -124,7 +130,9 @@ fn parse_ffmpeg_duration(line: &str) -> Option<f64> {
 fn parse_ffmpeg_time(line: &str) -> Option<f64> {
     let pos = line.find("time=")?;
     let rest = &line[pos + 5..];
-    let end = rest.find(|c: char| !c.is_digit(10) && c != ':' && c != '.').unwrap_or(rest.len());
+    let end = rest
+        .find(|c: char| !c.is_digit(10) && c != ':' && c != '.')
+        .unwrap_or(rest.len());
     let time_str = &rest[..end];
     let parts: Vec<&str> = time_str.split(':').collect();
     if parts.len() == 3 {

src-tauri/src/lib.rs

@@ -10,17 +10,17 @@ mod whisper;
 use models::{
     DefaultModelPaths, StartTaskPayload, SubtitleSegment, SubtitleTask, TranslationConfig,
 };
+#[cfg(target_os = "macos")]
+use objc2_app_kit::NSWindow;
+#[cfg(target_os = "macos")]
+use objc2_foundation::NSSize;
 use state::AppState;
-use tauri::{AppHandle, Manager, PhysicalSize, Size};
 #[cfg(target_os = "macos")]
 use tauri::{
     menu::{MenuBuilder, MenuItemBuilder, PredefinedMenuItem, SubmenuBuilder},
     Emitter,
 };
-#[cfg(target_os = "macos")]
+use tauri::{AppHandle, Manager, PhysicalSize, Size};
-use objc2_app_kit::NSWindow;
-#[cfg(target_os = "macos")]
-use objc2_foundation::NSSize;
 
 #[cfg(target_os = "macos")]
 const WINDOW_RATIO_WIDTH: f64 = 16.0;
@@ -74,7 +74,9 @@ fn export_subtitles(
 }
 
 #[tauri::command]
-fn get_default_model_paths(app: tauri::AppHandle) -> std::result::Result<DefaultModelPaths, String> {
+fn get_default_model_paths(
+    app: tauri::AppHandle,
+) -> std::result::Result<DefaultModelPaths, String> {
     task::get_default_model_paths(&app).map_err(error_to_string)
 }
 
@@ -152,7 +154,11 @@ fn configure_macos_menu(app: &AppHandle) -> tauri::Result<()> {
         .build()?;
 
     let file_menu = SubmenuBuilder::new(app, "文件")
-        .item(&MenuItemBuilder::with_id("pick_files", "选择媒体文件").accelerator("CmdOrCtrl+O").build(app)?)
+        .item(
+            &MenuItemBuilder::with_id("pick_files", "选择媒体文件")
+                .accelerator("CmdOrCtrl+O")
+                .build(app)?,
+        )
         .separator()
         .item(&MenuItemBuilder::with_id("export_srt", "导出 SRT").build(app)?)
         .item(&MenuItemBuilder::with_id("export_vtt", "导出 VTT").build(app)?)

src-tauri/src/state.rs

@@ -11,13 +11,19 @@ pub struct AppState {
 
 impl AppState {
     pub fn upsert_task(&self, task: SubtitleTask) -> Result<()> {
-        let mut guard = self.tasks.lock().map_err(|_| anyhow!("task store poisoned"))?;
+        let mut guard = self
+            .tasks
+            .lock()
+            .map_err(|_| anyhow!("task store poisoned"))?;
         guard.insert(task.id.clone(), task);
         Ok(())
     }
 
     pub fn get_task(&self, task_id: &str) -> Result<SubtitleTask> {
-        let guard = self.tasks.lock().map_err(|_| anyhow!("task store poisoned"))?;
+        let guard = self
+            .tasks
+            .lock()
+            .map_err(|_| anyhow!("task store poisoned"))?;
         guard
             .get(task_id)
             .cloned()
@@ -25,20 +31,29 @@ impl AppState {
     }
 
     pub fn list_tasks(&self) -> Result<Vec<SubtitleTask>> {
-        let guard = self.tasks.lock().map_err(|_| anyhow!("task store poisoned"))?;
+        let guard = self
+            .tasks
+            .lock()
+            .map_err(|_| anyhow!("task store poisoned"))?;
         let mut tasks = guard.values().cloned().collect::<Vec<_>>();
         tasks.sort_by(|left, right| right.id.cmp(&left.id));
         Ok(tasks)
     }
 
     pub fn delete_task(&self, task_id: &str) -> Result<()> {
-        let mut guard = self.tasks.lock().map_err(|_| anyhow!("task store poisoned"))?;
+        let mut guard = self
+            .tasks
+            .lock()
+            .map_err(|_| anyhow!("task store poisoned"))?;
         guard.remove(task_id);
         Ok(())
     }
 
     pub fn update_segment(&self, segment: SubtitleSegment) -> Result<SubtitleTask> {
-        let mut guard = self.tasks.lock().map_err(|_| anyhow!("task store poisoned"))?;
+        let mut guard = self
+            .tasks
+            .lock()
+            .map_err(|_| anyhow!("task store poisoned"))?;
         let task = guard
             .get_mut(&segment.task_id)
             .ok_or_else(|| anyhow!("task not found: {}", segment.task_id))?;

src-tauri/src/task.rs

@@ -5,6 +5,7 @@ use std::{
         atomic::{AtomicU32, Ordering},
         Arc,
     },
+    time::Duration,
 };
 
 use anyhow::{Context, Result};
@@ -14,9 +15,9 @@ use uuid::Uuid;
 use crate::{
     audio::AudioPipeline,
     models::{
-        DefaultModelPaths, ErrorEvent, LogEvent, OutputMode, ProgressEvent,
+        DefaultModelPaths, ErrorEvent, LogEvent, OutputMode, ProgressEvent, ResetSegmentsEvent,
-        ResetSegmentsEvent, StartTaskPayload, SubStageProgress, SubtitleSegment,
+        StartTaskPayload, SubStageProgress, SubtitleSegment, SubtitleTask, TargetLanguage,
-        SubtitleTask, TargetLanguage, TaskStatus, TranslationConfig,
+        TaskStatus, TranslationConfig,
     },
     state::AppState,
     subtitle::{render, SubtitleFormat},
@@ -45,7 +46,11 @@ pub async fn start_task(
     state: tauri::State<'_, AppState>,
     mut payload: StartTaskPayload,
 ) -> Result<SubtitleTask> {
-    if payload.whisper_model_path.as_deref().is_none_or(str::is_empty) {
+    if payload
+        .whisper_model_path
+        .as_deref()
+        .is_none_or(str::is_empty)
+    {
         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) {
@@ -85,11 +90,21 @@ pub async fn start_task(
     let task_id = task.id.clone();
 
     tauri::async_runtime::spawn(async move {
-        if let Err(error) = run_pipeline(app_handle, window_handle.clone(), task_for_spawn, payload_for_spawn).await {
+        if let Err(error) = run_pipeline(
-            if let Ok(mut failed_task) = app_handle_for_error.state::<AppState>().get_task(&task_id) {
+            app_handle,
+            window_handle.clone(),
+            task_for_spawn,
+            payload_for_spawn,
+        )
+        .await
+        {
+            if let Ok(mut failed_task) = app_handle_for_error.state::<AppState>().get_task(&task_id)
+            {
                 failed_task.status = TaskStatus::Failed;
                 failed_task.error = Some(error.to_string());
-                let _ = app_handle_for_error.state::<AppState>().upsert_task(failed_task);
+                let _ = app_handle_for_error
+                    .state::<AppState>()
+                    .upsert_task(failed_task);
             }
             let _ = emit_error(&window_handle, &task_id, &error.to_string());
         }
@@ -171,12 +186,28 @@ async fn run_pipeline(
         }
     }
 
-    let ffmpeg_path = resolve_ffmpeg_path(&app)
+    let ffmpeg_path = resolve_ffmpeg_path(&app).ok_or_else(|| {
-        .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"))?;
+        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, 5.0, "正在抽取音频")?;
+    set_status(
-    emit_log(&window, &task.id, format!("task: input file={}", payload.file_path))?;
+        &window,
-    emit_log(&window, &task.id, format!("audio: ffmpeg={}", ffmpeg_path.display()))?;
+        &app_state,
+        &mut task,
+        TaskStatus::Extracting,
+        5.0,
+        "正在抽取音频",
+    )?;
+    emit_log(
+        &window,
+        &task.id,
+        format!("task: input file={}", payload.file_path),
+    )?;
+    emit_log(
+        &window,
+        &task.id,
+        format!("audio: ffmpeg={}", ffmpeg_path.display()),
+    )?;
 
     let window_for_extract = window.clone();
     let task_id_for_extract = task.id.clone();
@@ -204,15 +235,27 @@ async fn run_pipeline(
             );
         },
     )?;
-    emit_log(&window, &task.id, format!("audio: normalized wav={}", wav_path.display()))?;
+    emit_log(
+        &window,
+        &task.id,
+        format!("audio: normalized wav={}", wav_path.display()),
+    )?;
 
-    set_status(&window, &app_state, &mut task, TaskStatus::VadProcessing, 15.0, "正在分析语音片段")?;
+    set_status(
+        &window,
+        &app_state,
+        &mut task,
+        TaskStatus::VadProcessing,
+        15.0,
+        "正在分析语音片段",
+    )?;
     let samples = AudioPipeline::load_wav_f32(&wav_path)?;
     let vad = VadEngine::new(payload.vad_model_path.clone(), VadConfig::default())?;
 
     let window_for_vad = window.clone();
     let task_id_for_vad = task.id.clone();
-    let speech_ranges = vad.detect_segments(&samples, move |ratio: f32| {
+    let speech_ranges = vad
+        .detect_segments(&samples, move |ratio: f32| {
             let overall = 15.0 + ratio.clamp(0.0, 1.0) * 15.0;
             let sub = SubStageProgress {
                 extracting: 100.0,
@@ -230,14 +273,22 @@ async fn run_pipeline(
                     sub_stage_progress: sub,
                 },
             );
-    }).await;
+        })
+        .await;
     emit_log(
         &window,
         &task.id,
         format!("vad: detected {} speech ranges", speech_ranges.len()),
     )?;
 
-    set_status(&window, &app_state, &mut task, TaskStatus::Transcribing, 30.0, "正在执行 Whisper")?;
+    set_status(
+        &window,
+        &app_state,
+        &mut task,
+        TaskStatus::Transcribing,
+        30.0,
+        "正在执行 Whisper",
+    )?;
 
     // Shared progress state between concurrent transcribing and translating
     let transcribing_pct: Arc<AtomicU32> = Arc::new(AtomicU32::new(0));
@@ -251,7 +302,11 @@ async fn run_pipeline(
             .translation_config
             .clone()
             .or_else(load_translation_config)
-            .ok_or_else(|| anyhow::anyhow!("翻译模式需要填写 LLM API 配置，或设置 OPENAI_API_BASE / OPENAI_API_KEY"))?;
+            .ok_or_else(|| {
+                anyhow::anyhow!(
+                    "翻译模式需要填写 LLM API 配置，或设置 OPENAI_API_BASE / OPENAI_API_KEY"
+                )
+            })?;
         let translator = Translator::new(config)?;
         let (tx, rx) = tokio::sync::mpsc::channel::<SubtitleSegment>(1024);
         let window_for_worker = window.clone();
@@ -399,8 +454,10 @@ async fn incremental_translate(
     let mut all_segments: Vec<SubtitleSegment> = Vec::new();
     let mut buffer: Vec<SubtitleSegment> = Vec::new();
     let mut translated_count: usize = 0;
+    let idle_flush_after = Duration::from_secs(3);
 
-    let emit_translate_progress = |window: &Window, task_id: &str, done: usize, total: usize| -> Result<()> {
+    let emit_translate_progress =
+        |window: &Window, task_id: &str, done: usize, total: usize| -> Result<()> {
             let ratio = if total > 0 {
                 (done as f32 / total as f32).clamp(0.0, 1.0)
             } else {
@@ -436,89 +493,68 @@ async fn incremental_translate(
             Ok(())
         };
 
-    while let Some(segment) = rx.recv().await {
+    loop {
+        match tokio::time::timeout(idle_flush_after, rx.recv()).await {
+            Ok(Some(segment)) => {
                 all_segments.push(segment.clone());
                 buffer.push(segment);
 
                 if buffer.len() >= batch_size {
-            let batch = std::mem::take(&mut buffer);
+                    translate_buffered_segments(
-            let context_end = all_segments.len().saturating_sub(batch.len());
+                        &translator,
-            let context_start = context_end.saturating_sub(context_size);
+                        window,
-            let context = &all_segments[context_start..context_end];
+                        app_state,
-
+                        task_id,
-            emit_log(window, task_id, format!(
+                        target_lang,
-                "translation: batch segments={}",
+                        &all_segments,
-                batch.iter().map(|s| s.id.as_str()).collect::<Vec<_>>().join(", ")
+                        &mut buffer,
-            ))?;
+                        &mut translated_count,
-
+                        context_size,
-            let rows = translator
+                        "batch",
-                .translate_batch_with_retries(context, &batch, target_lang_name(target_lang))
+                    )
                     .await?;
-
-            translated_count += rows.len();
-
-            emit_log(window, task_id, format!("translation: batch done, translated={}", rows.len()))?;
-
-            for row in rows {
-                if let Some(original) = batch.iter().find(|item| item.id == row.id) {
-                    let mut emitted = original.clone();
-                    emitted.translated_text = Some(row.text);
-
-                    if let Ok(mut current_task) = app_state.get_task(task_id) {
-                        upsert_segment(&mut current_task.segments, emitted.clone());
-                        let _ = app_state.upsert_task(current_task);
-                    }
-                    let _ = window.emit(
-                        "task:segment",
-                        crate::models::SegmentEvent {
-                            task_id: task_id.to_string(),
-                            segment: emitted,
-                        },
-                    );
-                }
-            }
-
                     emit_translate_progress(window, task_id, translated_count, all_segments.len())?;
                 }
             }
+            Ok(None) => break,
+            Err(_) => {
+                if buffer.is_empty() {
+                    continue;
+                }
+
+                translate_buffered_segments(
+                    &translator,
+                    window,
+                    app_state,
+                    task_id,
+                    target_lang,
+                    &all_segments,
+                    &mut buffer,
+                    &mut translated_count,
+                    context_size,
+                    "idle batch",
+                )
+                .await?;
+                emit_translate_progress(window, task_id, translated_count, all_segments.len())?;
+            }
+        }
+    }
 
     // Flush remaining segments below batch_size
     if !buffer.is_empty() {
-        let batch = std::mem::take(&mut buffer);
+        translate_buffered_segments(
-        let context_end = all_segments.len().saturating_sub(batch.len());
+            &translator,
-        let context_start = context_end.saturating_sub(context_size);
+            window,
-        let context = &all_segments[context_start..context_end];
+            app_state,
-
+            task_id,
-        emit_log(window, task_id, format!(
+            target_lang,
-            "translation: final batch segments={}",
+            &all_segments,
-            batch.iter().map(|s| s.id.as_str()).collect::<Vec<_>>().join(", ")
+            &mut buffer,
-        ))?;
+            &mut translated_count,
-
+            context_size,
-        let rows = translator
+            "final batch",
-            .translate_batch_with_retries(context, &batch, target_lang_name(target_lang))
+        )
         .await?;
-
-        translated_count += rows.len();
-
-        for row in rows {
-            if let Some(original) = batch.iter().find(|item| item.id == row.id) {
-                let mut emitted = original.clone();
-                emitted.translated_text = Some(row.text);
-
-                if let Ok(mut current_task) = app_state.get_task(task_id) {
-                    upsert_segment(&mut current_task.segments, emitted.clone());
-                    let _ = app_state.upsert_task(current_task);
-                }
-                let _ = window.emit(
-                    "task:segment",
-                    crate::models::SegmentEvent {
-                        task_id: task_id.to_string(),
-                        segment: emitted,
-                    },
-                );
-            }
-        }
-
         emit_translate_progress(window, task_id, translated_count, all_segments.len())?;
     }
 
@@ -544,6 +580,75 @@ async fn incremental_translate(
     Ok(())
 }
 
+async fn translate_buffered_segments(
+    translator: &Translator,
+    window: &Window,
+    app_state: &AppState,
+    task_id: &str,
+    target_lang: &TargetLanguage,
+    all_segments: &[SubtitleSegment],
+    buffer: &mut Vec<SubtitleSegment>,
+    translated_count: &mut usize,
+    context_size: usize,
+    label: &str,
+) -> Result<()> {
+    if buffer.is_empty() {
+        return Ok(());
+    }
+
+    let batch = std::mem::take(buffer);
+    let context_end = all_segments.len().saturating_sub(batch.len());
+    let context_start = context_end.saturating_sub(context_size);
+    let context = &all_segments[context_start..context_end];
+
+    emit_log(
+        window,
+        task_id,
+        format!(
+            "translation: {} segments={}",
+            label,
+            batch
+                .iter()
+                .map(|segment| segment.id.as_str())
+                .collect::<Vec<_>>()
+                .join(", ")
+        ),
+    )?;
+
+    let rows = translator
+        .translate_batch_with_retries(context, &batch, target_lang_name(target_lang))
+        .await?;
+
+    *translated_count += rows.len();
+
+    emit_log(
+        window,
+        task_id,
+        format!("translation: {} done, translated={}", label, rows.len()),
+    )?;
+
+    for row in rows {
+        if let Some(original) = batch.iter().find(|item| item.id == row.id) {
+            let mut emitted = original.clone();
+            emitted.translated_text = Some(row.text);
+
+            if let Ok(mut current_task) = app_state.get_task(task_id) {
+                upsert_segment(&mut current_task.segments, emitted.clone());
+                let _ = app_state.upsert_task(current_task);
+            }
+            let _ = window.emit(
+                "task:segment",
+                crate::models::SegmentEvent {
+                    task_id: task_id.to_string(),
+                    segment: emitted,
+                },
+            );
+        }
+    }
+
+    Ok(())
+}
+
 fn target_lang_name(target_lang: &TargetLanguage) -> &'static str {
     match target_lang {
         TargetLanguage::Zh => "简体中文",
@@ -616,7 +721,10 @@ fn set_status(
     Ok(())
 }
 
-pub fn update_segment_text(state: tauri::State<'_, AppState>, segment: SubtitleSegment) -> Result<SubtitleTask> {
+pub fn update_segment_text(
+    state: tauri::State<'_, AppState>,
+    segment: SubtitleSegment,
+) -> Result<SubtitleTask> {
     state.update_segment(segment)
 }
 
@@ -628,7 +736,11 @@ pub fn delete_task(state: tauri::State<'_, AppState>, task_id: String) -> Result
     state.delete_task(&task_id)
 }
 
-pub fn export_task(state: tauri::State<'_, AppState>, task_id: String, format: String) -> Result<String> {
+pub fn export_task(
+    state: tauri::State<'_, AppState>,
+    task_id: String,
+    format: String,
+) -> Result<String> {
     let task = state.get_task(&task_id)?;
     let format = SubtitleFormat::try_from(format.as_str())?;
     let content = render(&task.segments, format, task.bilingual_output);
@@ -803,7 +915,11 @@ fn upsert_segment(segments: &mut Vec<SubtitleSegment>, segment: SubtitleSegment)
         left.start
             .partial_cmp(&right.start)
             .unwrap_or(std::cmp::Ordering::Equal)
-            .then_with(|| left.end.partial_cmp(&right.end).unwrap_or(std::cmp::Ordering::Equal))
+            .then_with(|| {
+                left.end
+                    .partial_cmp(&right.end)
+                    .unwrap_or(std::cmp::Ordering::Equal)
+            })
             .then_with(|| left.id.cmp(&right.id))
     });
 }

src-tauri/src/translate.rs

@@ -120,7 +120,10 @@ impl Translator {
             let rows = self
                 .translate_batch_with_retries(context, batch, target_language_name)
                 .await?;
-            log(format!("translation: batch done, translated={}", rows.len()));
+            log(format!(
+                "translation: batch done, translated={}",
+                rows.len()
+            ));
 
             for row in rows {
                 if let Some(segment) = translated.iter_mut().find(|item| item.id == row.id) {
@@ -257,7 +260,9 @@ impl Translator {
 
             match response {
                 Ok(response) => {
-                    let response = response.error_for_status().context("translation http error")?;
+                    let response = response
+                        .error_for_status()
+                        .context("translation http error")?;
                     let raw_text = response.text().await.context("invalid response body")?;
                     eprintln!("translation raw response:\n{}", raw_text);
                     let payload: ChatCompletionResponse =
@@ -269,8 +274,9 @@ impl Translator {
                         .message
                         .content
                         .clone();
-                    let rows = parse_translation_response(&content)
+                    let rows = parse_translation_response(&content).with_context(|| {
-                        .with_context(|| format!("translation json parse failed: {}", preview(&content)))?;
+                        format!("translation json parse failed: {}", preview(&content))
+                    })?;
                     return Ok(rows);
                 }
                 Err(error) => {
@@ -362,10 +368,7 @@ fn strip_code_fence(content: &str) -> String {
         .trim_start_matches("```json")
         .trim_start_matches("```JSON")
         .trim_start_matches("```");
-    without_prefix
+    without_prefix.trim_end_matches("```").trim().to_string()
-        .trim_end_matches("```")
-        .trim()
-        .to_string()
 }
 
 fn extract_json_object(content: &str) -> Option<String> {
@@ -403,7 +406,11 @@ fn mask_secret(secret: &str) -> String {
         return "****".to_string();
     }
 
-    format!("{}****{}", &secret[..4], &secret[secret.len().saturating_sub(4)..])
+    format!(
+        "{}****{}",
+        &secret[..4],
+        &secret[secret.len().saturating_sub(4)..]
+    )
 }
 
 fn extract_rows_loose(content: &str) -> Vec<TranslatedRow> {

src-tauri/src/vad.rs

@@ -69,7 +69,8 @@ impl VadEngine {
                             return None;
                         }
                     };
-                    Self::detect_with_onnx(&mut session, &samples_owned, &config, on_progress_onnx).ok()
+                    Self::detect_with_onnx(&mut session, &samples_owned, &config, on_progress_onnx)
+                        .ok()
                 }),
             )
             .await
@@ -156,7 +157,11 @@ impl VadEngine {
         }
 
         on_progress(1.0);
-        Ok(Self::merge_probabilities(&speech_probabilities, chunk_size, config))
+        Ok(Self::merge_probabilities(
+            &speech_probabilities,
+            chunk_size,
+            config,
+        ))
     }
 
     fn detect_segments_with_energy<F: Fn(f32)>(
@@ -192,10 +197,19 @@ impl VadEngine {
             energies.len(),
             dynamic_threshold
         );
-        Self::merge_probabilities_with_threshold(&energies, frame_size, dynamic_threshold, &self.config)
+        Self::merge_probabilities_with_threshold(
+            &energies,
+            frame_size,
+            dynamic_threshold,
+            &self.config,
+        )
     }
 
-    fn merge_probabilities(frames: &[f32], frame_size: usize, config: &VadConfig) -> Vec<(f32, f32)> {
+    fn merge_probabilities(
+        frames: &[f32],
+        frame_size: usize,
+        config: &VadConfig,
+    ) -> Vec<(f32, f32)> {
         Self::merge_probabilities_with_threshold(frames, frame_size, config.threshold, config)
     }
 
@@ -228,7 +242,8 @@ impl VadEngine {
                     let end_frame = index.saturating_sub(silent_frames);
                     if end_frame.saturating_sub(start) >= min_speech_frames {
                         let start_sec = (start * frame_size) as f32 / config.sample_rate as f32;
-                        let end_sec = ((end_frame + 1) * frame_size) as f32 / config.sample_rate as f32;
+                        let end_sec =
+                            ((end_frame + 1) * frame_size) as f32 / config.sample_rate as f32;
                         result.push(((start_sec - pad_seconds).max(0.0), end_sec + pad_seconds));
                     }
                     start_frame = None;

src-tauri/src/whisper.rs

@@ -48,12 +48,12 @@ impl WhisperEngine {
         let audio = load_audio_f32(wav_path)?;
         let total_seconds = audio.len() as f32 / 16_000.0;
         let normalized_ranges = normalize_speech_ranges(speech_ranges, audio.len());
-        let context = WhisperContext::new_with_params(
+        let context =
-            model_path,
+            WhisperContext::new_with_params(model_path, WhisperContextParameters::default())
-            WhisperContextParameters::default(),
-        )
                 .with_context(|| format!("failed to load whisper model: {model_path}"))?;
-        let mut state = context.create_state().context("failed to create whisper state")?;
+        let mut state = context
+            .create_state()
+            .context("failed to create whisper state")?;
         let detected_language = resolve_source_language(&mut state, &audio, source_lang)
             .context("failed to resolve source language")?;
 
@@ -187,7 +187,10 @@ impl WhisperEngine {
             }
         }
 
-        on_log(format!("whisper: total emitted segments={}", segments.len()))?;
+        on_log(format!(
+            "whisper: total emitted segments={}",
+            segments.len()
+        ))?;
         Ok(segments)
     }
 }
@@ -226,7 +229,9 @@ fn transcribe_clip(
         }
     }
 
-    state.full(params, clip).context("whisper inference failed")?;
+    state
+        .full(params, clip)
+        .context("whisper inference failed")?;
 
     let num_segments = state.full_n_segments();
     on_log(format!(
@@ -303,7 +308,10 @@ fn load_audio_f32(path: &Path) -> Result<Vec<f32>> {
         .with_context(|| format!("failed to open wav file: {}", path.display()))?;
     let spec = reader.spec();
     if spec.sample_rate != 16_000 {
-        return Err(anyhow!("whisper expects 16k audio, got {}", spec.sample_rate));
+        return Err(anyhow!(
+            "whisper expects 16k audio, got {}",
+            spec.sample_rate
+        ));
     }
     if spec.channels != 1 {
         return Err(anyhow!("whisper expects mono audio, got {}", spec.channels));
@@ -311,7 +319,11 @@ fn load_audio_f32(path: &Path) -> Result<Vec<f32>> {
 
     let samples = reader
         .into_samples::<i16>()
-        .map(|sample| sample.map(|value| value as f32 / i16::MAX as f32).map_err(anyhow::Error::from))
+        .map(|sample| {
+            sample
+                .map(|value| value as f32 / i16::MAX as f32)
+                .map_err(anyhow::Error::from)
+        })
         .collect::<Result<Vec<_>>>()?;
 
     Ok(samples)
@@ -372,7 +384,9 @@ fn should_prefer_full_audio(
     full_text_len > vad_text_len + vad_text_len * 3 / 5
         || full_audio_segments.len() > vad_segments.len() + 5
         || full_end > vad_end + 5.0
-        || (total_seconds > 60.0 && full_end + 1.5 >= total_seconds && vad_end + 5.0 < total_seconds)
+        || (total_seconds > 60.0
+            && full_end + 1.5 >= total_seconds
+            && vad_end + 5.0 < total_seconds)
 }
 
 fn resolve_source_language<'a>(