package.json

@@ -6,8 +6,8 @@
   "scripts": {
     "dev": "vite",
     "build": "tsc && vite build",
-    "lint": "eslint .",
-    "lint:fix": "eslint . --fix",
+    "lint": "eslint src",
+    "lint:fix": "eslint src --fix",
     "format": "prettier --write .",
     "format:check": "prettier --check .",
     "preview": "vite preview",

src-tauri/Cargo.lock

@@ -531,6 +531,7 @@ dependencies = [
  "tauri",
  "tauri-build",
  "tauri-plugin-opener",
+ "tempfile",
  "thiserror 2.0.18",
  "tokio",
  "tracing",

src-tauri/Cargo.toml

@@ -67,6 +67,9 @@ windows = { version = "0.62", features = [
     "Win32_UI_Shell_PropertiesSystem",
 ] }
 
+[dev-dependencies]
+tempfile = "3.10"
+
 [patch.crates-io]
 # Fix cross-compilation: use CARGO_CFG_TARGET_OS instead of cfg!(windows)
 llama-cpp-sys-2 = { path = "../patches/llama-cpp-sys-2" }

src-tauri/src/lib.rs

@@ -487,7 +487,7 @@ fn check_ready(state: State<'_, AppState>) -> Result<bool, String> {
 
     // At minimum, we need the summarizer loaded
     // Whisper can be loaded on first use
-    let ready = summarizer.as_ref().map_or(false, |s| s.is_loaded());
+    let ready = summarizer.as_ref().is_some_and(|s| s.is_loaded());
 
     Ok(ready)
 }

src-tauri/src/ml/summarizer.rs

@@ -158,7 +158,7 @@ impl LlamaSummarizer {
         for i in 0..max_tokens {
             // Sample the next token using the sampler
             // The sampler.sample() takes context and the index of the last token in the batch
-            let token = sampler.sample(&ctx, (batch.n_tokens() - 1) as i32);
+            let token = sampler.sample(&ctx, batch.n_tokens() - 1);
 
             // Check for end of generation
             if model.is_eog_token(token) {

src-tauri/src/ml/vad.rs

@@ -415,6 +415,7 @@ mod tests {
             start_sample: 16000,
             end_sample: 32000,
             speaker_id: 0,
+            fingerprint: None,
         };
 
         assert!((segment.start_seconds() - 1.0).abs() < 0.001);

src-tauri/tauri.conf.json

@@ -37,9 +37,7 @@
         "installerIcon": "icons/icon.ico"
       }
     },
-    "resources": [
-      "resources/"
-    ],
+    "resources": ["resources/"],
     "icon": [
       "icons/32x32.png",
       "icons/128x128.png",

src/App.css

@@ -5,21 +5,21 @@
   font-weight: 400;
 
   /* Witchy Purple Rose Palette */
-  --witch-purple: #2B1B3D;
-  --witch-plum: #44275A;
-  --witch-rose: #A8577E;
-  --witch-mauve: #D4A5C7;
-  --witch-lavender: #E8D5E8;
-  --witch-black: #0A0009;
-  --witch-silver: #C0C0C0;
-  --witch-moon: #F5F5F5;
+  --witch-purple: #2b1b3d;
+  --witch-plum: #44275a;
+  --witch-rose: #a8577e;
+  --witch-mauve: #d4a5c7;
+  --witch-lavender: #e8d5e8;
+  --witch-black: #0a0009;
+  --witch-silver: #c0c0c0;
+  --witch-moon: #f5f5f5;
   --witch-shadow: rgba(10, 0, 9, 0.7);
 
   /* Theme mappings */
   --primary-color: var(--witch-rose);
   --primary-hover: var(--witch-plum);
   --secondary-color: var(--witch-mauve);
-  --danger-color: #D4658E;
+  --danger-color: #d4658e;
   --bg-color: var(--witch-black);
   --surface-color: var(--witch-purple);
   --text-color: var(--witch-moon);
@@ -156,7 +156,7 @@ body {
 }
 
 .record-button.recording:hover {
-  background-color: #B94A6D;
+  background-color: #b94a6d;
 }
 
 .recording-indicator {
@@ -514,7 +514,7 @@ body {
   flex: 1;
   overflow-y: auto;
   padding: 0.5rem 1rem;
-  font-family: 'Consolas', 'Monaco', 'Courier New', monospace;
+  font-family: "Consolas", "Monaco", "Courier New", monospace;
   font-size: 0.75rem;
   background-color: var(--witch-black);
   color: var(--witch-silver);

src/App.tsx

@@ -1,4 +1,4 @@
-import { useState, useEffect, useRef } from "react";
+import { useState, useEffect, useRef, useCallback } from "react";
 import { invoke } from "@tauri-apps/api/core";
 import { listen, type UnlistenFn } from "@tauri-apps/api/event";
 import { getVersion } from "@tauri-apps/api/app";
@@ -42,7 +42,14 @@ interface Recording {
   summaryProgress?: number;
 }
 
-type AppState = "checking" | "downloading_models" | "initializing" | "ready" | "recording" | "transcribing" | "error";
+type AppState =
+  | "checking"
+  | "downloading_models"
+  | "initializing"
+  | "ready"
+  | "recording"
+  | "transcribing"
+  | "error";
 
 function App() {
   const [recordings, setRecordings] = useState<Recording[]>([]);
@@ -63,17 +70,75 @@ function App() {
   const transcriptionProgressUnlisten = useRef<UnlistenFn | null>(null);
   const summaryProgressUnlisten = useRef<UnlistenFn | null>(null);
 
+  // Define initializeApp before using it
+  const initializeApp = useCallback(async () => {
+    try {
+      setAppState("checking");
+      setStatusMessage("Checking if models are present...");
+
+      const modelsPresent = await invoke<boolean>("check_models");
+
+      if (!modelsPresent) {
+        setAppState("downloading_models");
+        setStatusMessage("Downloading AI models (~2GB)...");
+        setShowLogs(true);
+
+        await invoke("download_models");
+
+        // Check again after download
+        const modelsVerified = await invoke<boolean>("check_models");
+        if (!modelsVerified) {
+          throw new Error(
+            "Download completed but model file not found. This might be a path or permissions issue."
+          );
+        }
+      }
+
+      // Initialize ML models
+      setAppState("initializing");
+      setStatusMessage("Loading AI models (this may take a moment)...");
+      setShowLogs(true);
+
+      await invoke("initialize_models");
+
+      const ready = await invoke<boolean>("check_ready");
+      if (!ready) {
+        throw new Error("Models failed to initialize. Check logs for details.");
+      }
+
+      setAppState("ready");
+      setStatusMessage("");
+      setShowLogs(false);
+
+      // Load saved recordings
+      try {
+        const savedRecordings = await invoke<StoredRecording[]>("load_recordings");
+        const loadedRecordings = savedRecordings.map(storedToFrontend);
+        setRecordings(loadedRecordings);
+        console.log(`Loaded ${loadedRecordings.length} transcripts from storage`);
+      } catch (loadError) {
+        console.error("Failed to load transcripts:", loadError);
+        // Don't fail app init if we can't load transcripts
+      }
+    } catch (error) {
+      console.error("Initialization failed:", error);
+      setAppState("error");
+      setErrorMessage(String(error));
+      setShowLogs(true);
+    }
+  }, []);
+
   useEffect(() => {
     if (initStarted.current) return;
     initStarted.current = true;
 
     // Get app version
-    getVersion().then(version => {
+    getVersion().then((version) => {
       setAppVersion(version);
     });
 
     initializeApp();
-  }, []);
+  }, [initializeApp]);
 
   // Helper function to convert stored recording to frontend format
   const storedToFrontend = (stored: StoredRecording): Recording => ({
@@ -119,17 +184,22 @@ function App() {
   useEffect(() => {
     const setupListeners = async () => {
       // Listen for transcription progress
-      transcriptionProgressUnlisten.current = await listen<number>('transcription-progress', (event) => {
-        setTranscriptionProgress(event.payload * 100); // Convert 0-1 to 0-100
-      });
+      transcriptionProgressUnlisten.current = await listen<number>(
+        "transcription-progress",
+        (event) => {
+          setTranscriptionProgress(event.payload * 100); // Convert 0-1 to 0-100
+        }
+      );
 
       // Listen for summary progress
-      summaryProgressUnlisten.current = await listen<number>('summary-progress', (event) => {
+      summaryProgressUnlisten.current = await listen<number>("summary-progress", (event) => {
         const recordingId = selectedRecordingId || recordings[0]?.id;
         if (recordingId) {
-          setRecordings(prev => prev.map(r =>
-            r.id === recordingId ? { ...r, summaryProgress: event.payload * 100 } : r
-          ));
+          setRecordings((prev) =>
+            prev.map((r) =>
+              r.id === recordingId ? { ...r, summaryProgress: event.payload * 100 } : r
+            )
+          );
         }
       });
     };
@@ -137,62 +207,6 @@ function App() {
     setupListeners();
   }, [selectedRecordingId, recordings]);
 
-  const initializeApp = async () => {
-    try {
-      setAppState("checking");
-      setStatusMessage("Checking if models are present...");
-
-      const modelsPresent = await invoke<boolean>("check_models");
-
-      if (!modelsPresent) {
-        setAppState("downloading_models");
-        setStatusMessage("Downloading AI models (~2GB)...");
-        setShowLogs(true);
-
-        await invoke("download_models");
-
-        // Check again after download
-        const modelsVerified = await invoke<boolean>("check_models");
-        if (!modelsVerified) {
-          throw new Error("Download completed but model file not found. This might be a path or permissions issue.");
-        }
-      }
-
-      // Initialize ML models
-      setAppState("initializing");
-      setStatusMessage("Loading AI models (this may take a moment)...");
-      setShowLogs(true);
-
-      await invoke("initialize_models");
-
-      // Check if models are ready
-      const ready = await invoke<boolean>("check_ready");
-      if (!ready) {
-        throw new Error("Models failed to initialize. Check logs for details.");
-      }
-
-      setAppState("ready");
-      setStatusMessage("");
-      setShowLogs(false);
-
-      // Load saved recordings
-      try {
-        const savedRecordings = await invoke<StoredRecording[]>("load_recordings");
-        const loadedRecordings = savedRecordings.map(storedToFrontend);
-        setRecordings(loadedRecordings);
-        console.log(`Loaded ${loadedRecordings.length} transcripts from storage`);
-      } catch (loadError) {
-        console.error("Failed to load transcripts:", loadError);
-        // Don't fail app init if we can't load transcripts
-      }
-    } catch (error) {
-      console.error("Initialization failed:", error);
-      setAppState("error");
-      setErrorMessage(String(error));
-      setShowLogs(true);
-    }
-  };
-
   const retrySetup = () => {
     setErrorMessage(null);
     initStarted.current = false;
@@ -203,7 +217,7 @@ function App() {
     try {
       // Get the next chunk of audio
       const [audioChunk, newOffset] = await invoke<[number[], number]>("get_audio_chunk", {
-        lastOffset: audioOffset.current
+        lastOffset: audioOffset.current,
       });
 
       // If we have enough audio (at least 5 seconds worth at 16kHz)
@@ -212,22 +226,26 @@ function App() {
         const chunkStartTime = totalProcessedSamples.current / 16000;
         const newSegments = await invoke<TranscriptSegment[]>("transcribe_chunk", {
           audioData: audioChunk,
-          chunkStartTime: chunkStartTime
+          chunkStartTime: chunkStartTime,
         });
 
         if (newSegments.length > 0) {
           // Calculate timestamps based on total processed samples
           const baseTime = totalProcessedSamples.current / 16000;
-          const adjustedSegments = newSegments.map(seg => ({
+          const adjustedSegments = newSegments.map((seg) => ({
             ...seg,
             start: seg.start + baseTime,
             end: seg.end + baseTime,
           }));
 
-          setActiveRecording(prev => prev ? {
-            ...prev,
-            transcriptSegments: [...prev.transcriptSegments, ...adjustedSegments]
-          } : null);
+          setActiveRecording((prev) =>
+            prev
+              ? {
+                  ...prev,
+                  transcriptSegments: [...prev.transcriptSegments, ...adjustedSegments],
+                }
+              : null
+          );
         }
 
         // Track total processed samples
@@ -264,7 +282,7 @@ function App() {
 
       // Start timer to show recording duration
       recordingTimer.current = window.setInterval(() => {
-        setRecordingDuration(d => d + 1);
+        setRecordingDuration((d) => d + 1);
       }, 1000);
 
       // Start real-time transcription timer (every 5 seconds)
@@ -297,7 +315,7 @@ function App() {
       // First, process any audio that hasn't been processed yet
       try {
         const finalChunk = await invoke<number[]>("get_remaining_audio", {
-          lastOffset: audioOffset.current
+          lastOffset: audioOffset.current,
         });
 
         if (finalChunk.length > 0) {
@@ -306,21 +324,25 @@ function App() {
           // The progress will be updated via events from the backend
           const finalSegments = await invoke<TranscriptSegment[]>("transcribe_chunk", {
             audioData: finalChunk,
-            chunkStartTime: chunkStartTime
+            chunkStartTime: chunkStartTime,
           });
 
           if (finalSegments.length > 0) {
             const baseTime = totalProcessedSamples.current / 16000;
-            const adjustedSegments = finalSegments.map(seg => ({
+            const adjustedSegments = finalSegments.map((seg) => ({
               ...seg,
               start: seg.start + baseTime,
               end: seg.end + baseTime,
             }));
 
-            setActiveRecording(prev => prev ? {
-            ...prev,
-            transcriptSegments: [...prev.transcriptSegments, ...adjustedSegments]
-          } : null);
+            setActiveRecording((prev) =>
+              prev
+                ? {
+                    ...prev,
+                    transcriptSegments: [...prev.transcriptSegments, ...adjustedSegments],
+                  }
+                : null
+            );
           }
         }
       } catch (chunkError) {
@@ -335,16 +357,16 @@ function App() {
       if (activeRecording) {
         const finalRecording = {
           ...activeRecording,
-          duration: recordingDuration
+          duration: recordingDuration,
         };
-        setRecordings(prev => [finalRecording, ...prev]);
+        setRecordings((prev) => [finalRecording, ...prev]);
         setSelectedRecordingId(finalRecording.id);
         setActiveRecording(null);
 
         // Save to persistent storage
         try {
           await invoke("save_recording", {
-            recording: frontendToStored(finalRecording)
+            recording: frontendToStored(finalRecording),
           });
           console.log("Transcript saved to storage");
         } catch (saveError) {
@@ -354,7 +376,7 @@ function App() {
       }
 
       // Brief delay to show completion
-      await new Promise(resolve => setTimeout(resolve, 500));
+      await new Promise((resolve) => setTimeout(resolve, 500));
 
       setAppState("ready");
       setStatusMessage("");
@@ -368,13 +390,15 @@ function App() {
   };
 
   const generateSummary = async (recordingId: string) => {
-    const recording = recordings.find(r => r.id === recordingId);
+    const recording = recordings.find((r) => r.id === recordingId);
     if (!recording || recording.transcriptSegments.length === 0) return;
 
     // Update the recording to show it's generating
-    setRecordings(prev => prev.map(r =>
-      r.id === recordingId ? { ...r, isGeneratingSummary: true, summaryProgress: 0 } : r
-    ));
+    setRecordings((prev) =>
+      prev.map((r) =>
+        r.id === recordingId ? { ...r, isGeneratingSummary: true, summaryProgress: 0 } : r
+      )
+    );
 
     const fullTranscript = recording.transcriptSegments
       .map((seg) => `${seg.speaker}: ${seg.text}`)
@@ -382,27 +406,27 @@ function App() {
 
     try {
       // Progress will be updated via events from the backend
-      const [summaryResult, titleResult] = await invoke<[string, string | null]>("summarize", { transcript: fullTranscript });
+      const [summaryResult, titleResult] = await invoke<[string, string | null]>("summarize", {
+        transcript: fullTranscript,
+      });
 
       // Update the recording with the summary and title
-      const updatedRecording = recordings.find(r => r.id === recordingId);
+      const updatedRecording = recordings.find((r) => r.id === recordingId);
       if (updatedRecording) {
         const recordingWithSummary = {
           ...updatedRecording,
           summary: summaryResult,
           title: titleResult,
           isGeneratingSummary: false,
-          summaryProgress: 100
+          summaryProgress: 100,
         };
 
-        setRecordings(prev => prev.map(r =>
-          r.id === recordingId ? recordingWithSummary : r
-        ));
+        setRecordings((prev) => prev.map((r) => (r.id === recordingId ? recordingWithSummary : r)));
 
         // Update in persistent storage
         try {
           await invoke("update_recording", {
-            recording: frontendToStored(recordingWithSummary)
+            recording: frontendToStored(recordingWithSummary),
           });
           console.log("Transcript updated with summary");
         } catch (updateError) {
@@ -411,9 +435,9 @@ function App() {
 
         // Clear progress after a brief delay
         setTimeout(() => {
-          setRecordings(prev => prev.map(r =>
-            r.id === recordingId ? { ...r, summaryProgress: undefined } : r
-          ));
+          setRecordings((prev) =>
+            prev.map((r) => (r.id === recordingId ? { ...r, summaryProgress: undefined } : r))
+          );
         }, 1000);
       }
     } catch (error) {
@@ -421,9 +445,13 @@ function App() {
       setErrorMessage(String(error));
 
       // Reset generating state on error
-      setRecordings(prev => prev.map(r =>
-        r.id === recordingId ? { ...r, isGeneratingSummary: false, summaryProgress: undefined } : r
-      ));
+      setRecordings((prev) =>
+        prev.map((r) =>
+          r.id === recordingId
+            ? { ...r, isGeneratingSummary: false, summaryProgress: undefined }
+            : r
+        )
+      );
     }
   };
 
@@ -438,7 +466,9 @@ function App() {
 
   const deleteRecording = async (recordingId: string) => {
     // Confirm deletion
-    if (!confirm("Are you sure you want to delete this transcript? This action cannot be undone.")) {
+    if (
+      !confirm("Are you sure you want to delete this transcript? This action cannot be undone.")
+    ) {
       return;
     }
 
@@ -447,7 +477,7 @@ function App() {
       await invoke("delete_recording", { recordingId });
 
       // Remove from state
-      setRecordings(prev => prev.filter(r => r.id !== recordingId));
+      setRecordings((prev) => prev.filter((r) => r.id !== recordingId));
 
       // Clear selection if we deleted the selected recording
       if (selectedRecordingId === recordingId) {
@@ -462,7 +492,7 @@ function App() {
   };
 
   const downloadTranscript = (recordingId: string) => {
-    const recording = recordings.find(r => r.id === recordingId);
+    const recording = recordings.find((r) => r.id === recordingId);
     if (!recording) return;
 
     const content = recording.transcriptSegments
@@ -479,7 +509,7 @@ function App() {
   };
 
   const downloadSummary = (recordingId: string) => {
-    const recording = recordings.find(r => r.id === recordingId);
+    const recording = recordings.find((r) => r.id === recordingId);
     if (!recording || !recording.summary) return;
 
     const blob = new Blob([recording.summary], { type: "text/plain" });
@@ -504,8 +534,9 @@ function App() {
   };
 
   // Get the currently selected recording or active recording
-  const displayedRecording = activeRecording ||
-    (selectedRecordingId ? recordings.find(r => r.id === selectedRecordingId) : null);
+  const displayedRecording =
+    activeRecording ||
+    (selectedRecordingId ? recordings.find((r) => r.id === selectedRecordingId) : null);
 
   const renderSetupScreen = () => (
     <div className="setup-screen">
@@ -540,9 +571,7 @@ function App() {
               <li>Whisper - Speech recognition</li>
               <li>VAD - Speaker detection</li>
             </ul>
-            <p className="setup-note">
-              This is a pure Rust backend - no Python required!
-            </p>
+            <p className="setup-note">This is a pure Rust backend - no Python required!</p>
           </div>
         )}
 
@@ -555,9 +584,9 @@ function App() {
           </div>
         )}
 
-        {(appState === "checking" || appState === "initializing" || appState === "downloading_models") && (
-          <div className="loading-spinner" />
-        )}
+        {(appState === "checking" ||
+          appState === "initializing" ||
+          appState === "downloading_models") && <div className="loading-spinner" />}
       </div>
 
       <BackendLogs isVisible={showLogs} onToggle={() => setShowLogs(!showLogs)} />
@@ -589,13 +618,9 @@ function App() {
 
       {appState === "transcribing" && (
         <div className="transcribing-indicator">
-          <ProgressBar
-            progress={transcriptionProgress}
-            label="Processing final audio..."
-          />
+          <ProgressBar progress={transcriptionProgress} label="Processing final audio..." />
         </div>
       )}
-
     </section>
   );
 
@@ -606,17 +631,18 @@ function App() {
         <p className="no-transcripts">No transcripts yet</p>
       ) : (
         <ul className="transcript-items">
-          {recordings.map(recording => (
+          {recordings.map((recording) => (
             <li
               key={recording.id}
-              className={`transcript-item ${selectedRecordingId === recording.id ? 'selected' : ''}`}
+              className={`transcript-item ${selectedRecordingId === recording.id ? "selected" : ""}`}
             >
               <div
                 className="transcript-content"
                 onClick={() => setSelectedRecordingId(recording.id)}
               >
                 <div className="transcript-title">
-                  {recording.title || `${recording.timestamp.toLocaleTimeString()} - ${formatDuration(recording.duration)}`}
+                  {recording.title ||
+                    `${recording.timestamp.toLocaleTimeString()} - ${formatDuration(recording.duration)}`}
                 </div>
                 {recording.title && (
                   <div className="transcript-time">
@@ -624,7 +650,11 @@ function App() {
                   </div>
                 )}
                 <div className="transcript-status">
-                  {recording.summary ? '✓ Summary' : recording.isGeneratingSummary ? '⏳ Summarizing...' : ''}
+                  {recording.summary
+                    ? "✓ Summary"
+                    : recording.isGeneratingSummary
+                      ? "⏳ Summarizing..."
+                      : ""}
                 </div>
               </div>
               <button
@@ -645,7 +675,12 @@ function App() {
   );
 
   // Show setup screen for non-ready states
-  if (appState === "checking" || appState === "downloading_models" || appState === "initializing" || appState === "error") {
+  if (
+    appState === "checking" ||
+    appState === "downloading_models" ||
+    appState === "initializing" ||
+    appState === "error"
+  ) {
     return (
       <main className="container">
         <header className="app-header">
@@ -678,7 +713,10 @@ function App() {
           {displayedRecording && (
             <div className="transcript-details">
               <div className="transcript-header">
-                <h2>{displayedRecording.title || `Transcript from ${displayedRecording.timestamp.toLocaleString()}`}</h2>
+                <h2>
+                  {displayedRecording.title ||
+                    `Transcript from ${displayedRecording.timestamp.toLocaleString()}`}
+                </h2>
                 <div className="transcript-actions">
                   <button
                     className="secondary-button"

src/components/ProgressBar.tsx

@@ -16,4 +16,4 @@ export function ProgressBar({ progress, label }: ProgressBarProps) {
       <div className="progress-text">{Math.round(progress)}%</div>
     </div>
   );
-}
+}

src/components/SummaryDisplay.tsx

@@ -16,10 +16,7 @@ export function SummaryDisplay({ summary, isLoading, progress }: SummaryDisplayP
         {isLoading ? (
           <div className="loading">
             {progress !== undefined ? (
-              <ProgressBar
-                progress={progress}
-                label="Generating summary..."
-              />
+              <ProgressBar progress={progress} label="Generating summary..." />
             ) : (
               <>
                 <div className="spinner"></div>