diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index d1daede3..9bf5bd7f 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -115,6 +115,17 @@ First-time usage will be slower due to model downloads, but subsequent runs will
 ```
 Creates platform-specific binary in `tauri/src-tauri/binaries/`
 
+**Building with local Qwen3-TTS development version:**
+
+If you're actively developing or modifying the Qwen3-TTS library, set the `QWEN_TTS_PATH` environment variable to point to your local clone:
+
+```bash
+export QWEN_TTS_PATH=~/path/to/your/Qwen3-TTS
+./scripts/build-server.sh
+```
+
+This makes PyInstaller use your local qwen-tts version instead of the pip-installed package. Useful when testing changes to the TTS library before they're published to PyPI or when using an editable install (`pip install -e`).
+
 **Build Tauri desktop app:**
 ```bash
 cd tauri
diff --git a/app/src/components/Generation/FloatingGenerateBox.tsx b/app/src/components/Generation/FloatingGenerateBox.tsx
index 593c3c0f..e4607e23 100644
--- a/app/src/components/Generation/FloatingGenerateBox.tsx
+++ b/app/src/components/Generation/FloatingGenerateBox.tsx
@@ -112,8 +112,6 @@ export function FloatingGenerateBox({
     }
   }, [selectedProfileId, profiles, setSelectedProfileId]);
 
-  // Get current form value to trigger resize when it changes
-  const formValue = form.watch(isInstructMode ? 'instruct' : 'text');
 
   // Auto-resize textarea based on content (only when expanded)
   useEffect(() => {
@@ -196,59 +194,104 @@ export function FloatingGenerateBox({
         <Form {...form}>
           <form onSubmit={form.handleSubmit(onSubmit)}>
             <div className="flex gap-2">
-              <motion.div className="flex-1" transition={{ duration: 0.3, ease: 'easeOut' }}>
-                {isInstructMode && (
-                  <span className="text-xs text-accent font-medium mb-1 block">
-                    Delivery instructions:
-                  </span>
-                )}
-                <FormField
-                  control={form.control}
-                  name={isInstructMode ? 'instruct' : 'text'}
-                  render={({ field }) => (
-                    <FormItem>
-                      <FormControl>
-                        <motion.div
-                          animate={{
-                            height: isExpanded ? 'auto' : '32px',
-                          }}
-                          transition={{ duration: 0.15, ease: 'easeOut' }}
-                          style={{ overflow: 'hidden' }}
-                        >
-                          <Textarea
-                            {...field}
-                            ref={(node: HTMLTextAreaElement | null) => {
-                              // Store ref for auto-resize
-                              textareaRef.current = node;
-                              // Forward ref to react-hook-form
-                              if (typeof field.ref === 'function') {
-                                field.ref(node);
-                              }
+              <motion.div
+                className={cn('flex-1', isExpanded && 'mr-12')}
+                transition={{ duration: 0.3, ease: 'easeOut' }}
+              >
+                {/* Text field - hidden when in instruct mode */}
+                <div style={{ display: isInstructMode ? 'none' : 'block' }}>
+                  <FormField
+                    control={form.control}
+                    name="text"
+                    render={({ field }) => (
+                      <FormItem>
+                        <FormControl>
+                          <motion.div
+                            animate={{
+                              height: isExpanded ? 'auto' : '32px',
                             }}
-                            placeholder={
-                              isInstructMode
-                                ? 'Add delivery instructions...'
-                                : isStoriesRoute && currentStory
+                            transition={{ duration: 0.15, ease: 'easeOut' }}
+                            style={{ overflow: 'hidden' }}
+                          >
+                            <Textarea
+                              {...field}
+                              ref={(node: HTMLTextAreaElement | null) => {
+                                // Store ref for auto-resize (only for active field)
+                                if (!isInstructMode) {
+                                  textareaRef.current = node;
+                                }
+                                // Forward ref to react-hook-form
+                                if (typeof field.ref === 'function') {
+                                  field.ref(node);
+                                }
+                              }}
+                              placeholder={
+                                isStoriesRoute && currentStory
                                   ? `Generate speech for "${currentStory.name}"...`
                                   : selectedProfile
                                     ? `Generate speech using ${selectedProfile.name}...`
                                     : 'Select a voice profile above...'
-                            }
-                            className="resize-none bg-transparent border-none focus-visible:ring-0 focus-visible:ring-offset-0 focus:outline-none focus:ring-0 outline-none ring-0 rounded-2xl text-sm placeholder:text-muted-foreground/60 w-full"
-                            style={{
-                              minHeight: isExpanded ? '100px' : '32px',
-                              maxHeight: '300px',
+                              }
+                              className="resize-none bg-transparent border-none focus-visible:ring-0 focus-visible:ring-offset-0 focus:outline-none focus:ring-0 outline-none ring-0 rounded-2xl text-sm placeholder:text-muted-foreground/60 w-full"
+                              style={{
+                                minHeight: isExpanded ? '100px' : '32px',
+                                maxHeight: '300px',
+                              }}
+                              disabled={!selectedProfileId}
+                              onClick={() => setIsExpanded(true)}
+                              onFocus={() => setIsExpanded(true)}
+                            />
+                          </motion.div>
+                        </FormControl>
+                        <FormMessage className="text-xs" />
+                      </FormItem>
+                    )}
+                  />
+                </div>
+                {/* Instruct field - hidden when in text mode */}
+                <div style={{ display: isInstructMode ? 'block' : 'none' }}>
+                  <FormField
+                    control={form.control}
+                    name="instruct"
+                    render={({ field }) => (
+                      <FormItem>
+                        <FormControl>
+                          <motion.div
+                            animate={{
+                              height: isExpanded ? 'auto' : '32px',
                             }}
-                            disabled={!selectedProfileId}
-                            onClick={() => setIsExpanded(true)}
-                            onFocus={() => setIsExpanded(true)}
-                          />
-                        </motion.div>
-                      </FormControl>
-                      <FormMessage className="text-xs" />
-                    </FormItem>
-                  )}
-                />
+                            transition={{ duration: 0.15, ease: 'easeOut' }}
+                            style={{ overflow: 'hidden' }}
+                          >
+                            <Textarea
+                              {...field}
+                              ref={(node: HTMLTextAreaElement | null) => {
+                                // Store ref for auto-resize (only for active field)
+                                if (isInstructMode) {
+                                  textareaRef.current = node;
+                                }
+                                // Forward ref to react-hook-form
+                                if (typeof field.ref === 'function') {
+                                  field.ref(node);
+                                }
+                              }}
+                              placeholder="Add delivery instructions..."
+                              className="resize-none bg-transparent border-none focus-visible:ring-0 focus-visible:ring-offset-0 focus:outline-none focus:ring-0 outline-none ring-0 rounded-2xl text-sm placeholder:text-muted-foreground/60 w-full"
+                              style={{
+                                minHeight: isExpanded ? '100px' : '32px',
+                                maxHeight: '300px',
+                              }}
+                              disabled={!selectedProfileId}
+                              onClick={() => setIsExpanded(true)}
+                              onFocus={() => setIsExpanded(true)}
+                            />
+                          </motion.div>
+                        </FormControl>
+                        <FormMessage className="text-xs" />
+                      </FormItem>
+                    )}
+                  />
+                </div>
               </motion.div>
 
               <div className="relative shrink-0">
@@ -278,9 +321,12 @@ export function FloatingGenerateBox({
                         variant="ghost"
                         size="icon"
                         onClick={() => setIsInstructMode(!isInstructMode)}
-                        className={`h-10 w-10 rounded-full bg-card border border-border hover:bg-background/50 transition-all duration-200 ${
-                          isInstructMode ? 'text-accent' : ''
-                        }`}
+                        className={cn(
+                          'h-10 w-10 rounded-full transition-all duration-200',
+                          isInstructMode
+                            ? 'bg-accent text-accent-foreground border border-accent hover:bg-accent/90'
+                            : 'bg-card border border-border hover:bg-background/50',
+                        )}
                       >
                         <MessageSquare className="h-4 w-4" />
                       </Button>
diff --git a/app/src/components/ServerSettings/ModelProgress.tsx b/app/src/components/ServerSettings/ModelProgress.tsx
index ae882c1a..f222ed10 100644
--- a/app/src/components/ServerSettings/ModelProgress.tsx
+++ b/app/src/components/ServerSettings/ModelProgress.tsx
@@ -12,11 +12,10 @@ interface ModelProgressProps {
 
 export function ModelProgress({ modelName, displayName }: ModelProgressProps) {
   const [progress, setProgress] = useState<ModelProgressType | null>(null);
-  const [isSubscribed, setIsSubscribed] = useState(false);
   const serverUrl = useServerStore((state) => state.serverUrl);
 
   useEffect(() => {
-    if (!serverUrl || isSubscribed) return;
+    if (!serverUrl) return;
 
     // Subscribe to progress updates via Server-Sent Events
     const eventSource = new EventSource(`${serverUrl}/models/progress/${modelName}`);
@@ -29,7 +28,6 @@ export function ModelProgress({ modelName, displayName }: ModelProgressProps) {
         // Close connection if complete or error
         if (data.status === 'complete' || data.status === 'error') {
           eventSource.close();
-          setIsSubscribed(false);
         }
       } catch (error) {
         console.error('Error parsing progress event:', error);
@@ -39,16 +37,12 @@ export function ModelProgress({ modelName, displayName }: ModelProgressProps) {
     eventSource.onerror = (error) => {
       console.error('SSE error:', error);
       eventSource.close();
-      setIsSubscribed(false);
     };
 
-    setIsSubscribed(true);
-
     return () => {
       eventSource.close();
-      setIsSubscribed(false);
     };
-  }, [serverUrl, modelName, isSubscribed]);
+  }, [serverUrl, modelName]);
 
   // Don't render if no progress or if complete/error and some time has passed
   if (
diff --git a/app/src/components/StoriesTab/StoryTrackEditor.tsx b/app/src/components/StoriesTab/StoryTrackEditor.tsx
index f2f4dbff..fb7004ce 100644
--- a/app/src/components/StoriesTab/StoryTrackEditor.tsx
+++ b/app/src/components/StoriesTab/StoryTrackEditor.tsx
@@ -539,7 +539,10 @@ export function StoryTrackEditor({ storyId, items }: StoryTrackEditorProps) {
         return;
       }
 
-      if (e.key === 'Escape') {
+      if (e.key === ' ') {
+        e.preventDefault();
+        handlePlayPause();
+      } else if (e.key === 'Escape') {
         setSelectedClipId(null);
       } else if (e.key === 's' || e.key === 'S') {
         if (selectedClipId) {
@@ -561,7 +564,7 @@ export function StoryTrackEditor({ storyId, items }: StoryTrackEditorProps) {
 
     window.addEventListener('keydown', handleKeyDown);
     return () => window.removeEventListener('keydown', handleKeyDown);
-  }, [selectedClipId, handleSplit, handleDuplicate, handleDelete, setSelectedClipId]);
+  }, [selectedClipId, handleSplit, handleDuplicate, handleDelete, setSelectedClipId, handlePlayPause]);
 
   // Add global mouse listeners for trimming
   useEffect(() => {
@@ -701,7 +704,13 @@ export function StoryTrackEditor({ storyId, items }: StoryTrackEditorProps) {
         <div className="flex items-center justify-between px-3 py-2 border-b bg-muted/30 mt-2">
           {/* Play controls - left side */}
           <div className="flex items-center gap-2">
-            <Button variant="ghost" size="icon" className="h-7 w-7" onClick={handlePlayPause}>
+            <Button
+              variant="ghost"
+              size="icon"
+              className="h-7 w-7"
+              onClick={handlePlayPause}
+              title="Play/Pause (Space)"
+            >
               {isCurrentlyPlaying ? <Pause className="h-4 w-4" /> : <Play className="h-4 w-4" />}
             </Button>
             <Button
diff --git a/app/src/components/VoiceProfiles/SampleList.tsx b/app/src/components/VoiceProfiles/SampleList.tsx
index 8edf1764..1b468f09 100644
--- a/app/src/components/VoiceProfiles/SampleList.tsx
+++ b/app/src/components/VoiceProfiles/SampleList.tsx
@@ -1,11 +1,132 @@
-import { Plus, Trash2, Play } from 'lucide-react';
-import { useState } from 'react';
+import { Plus, Trash2, Play, Pencil, Check, X, Volume2, Pause } from 'lucide-react';
+import { useEffect, useRef, useState } from 'react';
 import { Button } from '@/components/ui/button';
+import { Textarea } from '@/components/ui/textarea';
+import { Slider } from '@/components/ui/slider';
+import { useToast } from '@/components/ui/use-toast';
 import { apiClient } from '@/lib/api/client';
-import { useDeleteSample, useProfileSamples } from '@/lib/hooks/useProfiles';
-import { usePlayerStore } from '@/stores/playerStore';
+import { useDeleteSample, useProfileSamples, useUpdateSample } from '@/lib/hooks/useProfiles';
+import { formatAudioDuration } from '@/lib/utils/audio';
+import { cn } from '@/lib/utils/cn';
 import { SampleUpload } from './SampleUpload';
 
+interface MiniSamplePlayerProps {
+  audioUrl: string;
+}
+
+function MiniSamplePlayer({ audioUrl }: MiniSamplePlayerProps) {
+  const audioRef = useRef<HTMLAudioElement | null>(null);
+  const [isPlaying, setIsPlaying] = useState(false);
+  const [currentTime, setCurrentTime] = useState(0);
+  const [duration, setDuration] = useState(0);
+  const [isLoading, setIsLoading] = useState(true);
+
+  useEffect(() => {
+    const audio = new Audio(audioUrl);
+    audioRef.current = audio;
+
+    const handleLoadedMetadata = () => {
+      setDuration(audio.duration);
+      setIsLoading(false);
+    };
+
+    const handleTimeUpdate = () => {
+      setCurrentTime(audio.currentTime);
+    };
+
+    const handleEnded = () => {
+      setIsPlaying(false);
+      setCurrentTime(0);
+    };
+
+    const handlePlay = () => setIsPlaying(true);
+    const handlePause = () => setIsPlaying(false);
+
+    audio.addEventListener('loadedmetadata', handleLoadedMetadata);
+    audio.addEventListener('timeupdate', handleTimeUpdate);
+    audio.addEventListener('ended', handleEnded);
+    audio.addEventListener('play', handlePlay);
+    audio.addEventListener('pause', handlePause);
+
+    return () => {
+      audio.pause();
+      audio.removeEventListener('loadedmetadata', handleLoadedMetadata);
+      audio.removeEventListener('timeupdate', handleTimeUpdate);
+      audio.removeEventListener('ended', handleEnded);
+      audio.removeEventListener('play', handlePlay);
+      audio.removeEventListener('pause', handlePause);
+      audio.src = '';
+    };
+  }, [audioUrl]);
+
+  const handlePlayPause = () => {
+    if (!audioRef.current) return;
+    if (isPlaying) {
+      audioRef.current.pause();
+    } else {
+      audioRef.current.play();
+    }
+  };
+
+  const handleSeek = (value: number[]) => {
+    if (!audioRef.current || duration === 0) return;
+    const progress = value[0] / 100;
+    audioRef.current.currentTime = progress * duration;
+  };
+
+  const handleStop = () => {
+    if (audioRef.current) {
+      audioRef.current.pause();
+      audioRef.current.currentTime = 0;
+    }
+    setIsPlaying(false);
+    setCurrentTime(0);
+  };
+
+  return (
+    <div className="border-t bg-muted/30 px-3 py-2 mt-2">
+      <div className="flex items-center gap-2">
+        <Button
+          type="button"
+          variant="ghost"
+          size="icon"
+          className="h-7 w-7 shrink-0"
+          onClick={handlePlayPause}
+          disabled={isLoading}
+        >
+          {isPlaying ? <Pause className="h-3.5 w-3.5" /> : <Play className="h-3.5 w-3.5 ml-0.5" />}
+        </Button>
+
+        <div className="flex-1 min-w-0 flex items-center gap-2">
+          <Slider
+            value={duration > 0 ? [(currentTime / duration) * 100] : [0]}
+            onValueChange={handleSeek}
+            max={100}
+            step={0.1}
+            className="flex-1"
+          />
+          <div className="flex items-center gap-1 text-xs text-muted-foreground shrink-0 min-w-[70px]">
+            <span className="font-mono">{formatAudioDuration(currentTime)}</span>
+            <span>/</span>
+            <span className="font-mono">{formatAudioDuration(duration)}</span>
+          </div>
+        </div>
+
+        <Button
+          type="button"
+          variant="ghost"
+          size="icon"
+          className="h-7 w-7 shrink-0"
+          onClick={handleStop}
+          title="Stop"
+        >
+          <X className="h-3.5 w-3.5" />
+        </Button>
+      </div>
+    </div>
+  );
+}
+
 interface SampleListProps {
   profileId: string;
 }
@@ -13,10 +134,11 @@ interface SampleListProps {
 export function SampleList({ profileId }: SampleListProps) {
   const { data: samples, isLoading } = useProfileSamples(profileId);
   const deleteSample = useDeleteSample();
+  const updateSample = useUpdateSample();
+  const { toast } = useToast();
   const [uploadOpen, setUploadOpen] = useState(false);
-  const setAudioWithAutoPlay = usePlayerStore((state) => state.setAudioWithAutoPlay);
-  const currentAudioId = usePlayerStore((state) => state.audioId);
-  const isPlaying = usePlayerStore((state) => state.isPlaying);
+  const [editingSampleId, setEditingSampleId] = useState<string | null>(null);
+  const [editedText, setEditedText] = useState<string>('');
 
   const handleDelete = (sampleId: string) => {
     if (confirm('Are you sure you want to delete this sample?')) {
@@ -24,9 +146,41 @@ export function SampleList({ profileId }: SampleListProps) {
     }
   };
 
-  const handlePlay = (referenceText: string, sampleId: string) => {
-    const audioUrl = apiClient.getSampleUrl(sampleId);
-    setAudioWithAutoPlay(audioUrl, sampleId, null, referenceText.substring(0, 50));
+  const handleStartEdit = (sampleId: string, currentText: string) => {
+    setEditingSampleId(sampleId);
+    setEditedText(currentText);
+  };
+
+  const handleCancelEdit = () => {
+    setEditingSampleId(null);
+    setEditedText('');
+  };
+
+  const handleSaveEdit = async (sampleId: string) => {
+    if (!editedText.trim()) {
+      toast({
+        title: 'Invalid text',
+        description: 'Reference text cannot be empty.',
+        variant: 'destructive',
+      });
+      return;
+    }
+
+    try {
+      await updateSample.mutateAsync({ sampleId, referenceText: editedText.trim() });
+      toast({
+        title: 'Sample updated',
+        description: 'Reference text has been updated successfully.',
+      });
+      setEditingSampleId(null);
+      setEditedText('');
+    } catch (error) {
+      toast({
+        title: 'Update failed',
+        description: error instanceof Error ? error.message : 'Failed to update sample',
+        variant: 'destructive',
+      });
+    }
   };
 
   if (isLoading) {
@@ -44,43 +198,109 @@ export function SampleList({ profileId }: SampleListProps) {
       </div>
 
       {samples && samples.length === 0 ? (
-        <div className="text-sm text-muted-foreground py-4">
-          No samples yet. Add your first audio sample.
+        <div className="flex flex-col items-center justify-center py-8 text-center border border-dashed rounded-lg">
+          <Volume2 className="h-8 w-8 text-muted-foreground/50 mb-2" />
+          <p className="text-sm text-muted-foreground">No samples yet</p>
+          <p className="text-xs text-muted-foreground/70 mt-1">Add your first audio sample to get started</p>
         </div>
       ) : (
         <div className="space-y-2">
-          {samples?.map((sample) => (
-            <div
-              key={sample.id}
-              className="flex items-center justify-between p-3 border rounded-lg"
-            >
-              <div className="flex-1">
-                <p className="text-sm font-medium">{sample.reference_text}</p>
-                <p className="text-xs text-muted-foreground mt-1">{sample.audio_path}</p>
+          {samples?.map((sample, index) => {
+            const isEditing = editingSampleId === sample.id;
+
+            return (
+              <div
+                key={sample.id}
+                className={cn(
+                  'group relative rounded-lg border bg-card transition-all duration-200',
+                  isEditing ? 'ring-2 ring-primary/20' : 'hover:border-primary/30'
+                )}
+              >
+                {isEditing ? (
+                  /* Edit Mode */
+                  <div className="p-4 space-y-3">
+                    <div className="flex items-center gap-2 text-xs text-muted-foreground mb-2">
+                      <Pencil className="h-3 w-3" />
+                      <span>Editing transcription</span>
+                    </div>
+                    <Textarea
+                      value={editedText}
+                      onChange={(e) => setEditedText(e.target.value)}
+                      className="min-h-[100px] text-sm resize-none"
+                      placeholder="Enter reference text..."
+                      autoFocus
+                    />
+                    <div className="flex items-center justify-end gap-2 pt-1">
+                      <Button
+                        type="button"
+                        size="sm"
+                        variant="ghost"
+                        onClick={handleCancelEdit}
+                        disabled={updateSample.isPending}
+                      >
+                        <X className="h-4 w-4 mr-1" />
+                        Cancel
+                      </Button>
+                      <Button
+                        type="button"
+                        size="sm"
+                        onClick={() => handleSaveEdit(sample.id)}
+                        disabled={updateSample.isPending}
+                      >
+                        <Check className="h-4 w-4 mr-1" />
+                        {updateSample.isPending ? 'Saving...' : 'Save'}
+                      </Button>
+                    </div>
+                  </div>
+                ) : (
+                  <>
+                    {/* View Mode */}
+                    <div className="flex items-center gap-3 p-3 h-[72px]">
+                      {/* Text Content */}
+                      <div className="flex-1 min-w-0 py-0.5">
+                        <p className="text-sm font-medium line-clamp-2 leading-snug">
+                          {sample.reference_text}
+                        </p>
+                      </div>
+
+                      {/* Action Buttons */}
+                      <div className="shrink-0 flex items-center gap-1 opacity-0 group-hover:opacity-100 transition-opacity">
+                        <Button
+                          type="button"
+                          variant="ghost"
+                          size="icon"
+                          className="h-8 w-8"
+                          title="Edit transcription"
+                          onClick={() => handleStartEdit(sample.id, sample.reference_text)}
+                        >
+                          <Pencil className="h-4 w-4" />
+                        </Button>
+                        <Button
+                          type="button"
+                          variant="ghost"
+                          size="icon"
+                          className="h-8 w-8 text-destructive hover:text-destructive"
+                          title="Delete sample"
+                          onClick={() => handleDelete(sample.id)}
+                          disabled={deleteSample.isPending}
+                        >
+                          <Trash2 className="h-4 w-4" />
+                        </Button>
+                      </div>
+
+                      {/* Sample Number Badge */}
+                      <div className="absolute top-1 right-2 text-[10px] text-muted-foreground/50 font-medium">
+                        #{index + 1}
+                      </div>
+                    </div>
+
+                    {/* Mini Player - Always visible */}
+                    <MiniSamplePlayer audioUrl={apiClient.getSampleUrl(sample.id)} />
+                  </>
+                )}
               </div>
-              <div className="flex gap-2">
-                <Button
-                  type="button"
-                  variant="ghost"
-                  size="sm"
-                  onClick={() => handlePlay(sample.reference_text, sample.id)}
-                  className={currentAudioId === sample.id && isPlaying ? 'text-primary' : ''}
-                >
-                  <Play className="h-4 w-4 mr-1" />
-                  Play
-                </Button>
-                <Button
-                  type="button"
-                  variant="ghost"
-                  size="sm"
-                  onClick={() => handleDelete(sample.id)}
-                  disabled={deleteSample.isPending}
-                >
-                  <Trash2 className="h-4 w-4 text-destructive" />
-                </Button>
-              </div>
-            </div>
-          ))}
+            );
+          })}
         </div>
       )}
 
diff --git a/app/src/lib/api/client.ts b/app/src/lib/api/client.ts
index c8262e09..3e27c6cf 100644
--- a/app/src/lib/api/client.ts
+++ b/app/src/lib/api/client.ts
@@ -120,6 +120,16 @@ class ApiClient {
     });
   }
 
+  async updateProfileSample(
+    sampleId: string,
+    referenceText: string,
+  ): Promise<ProfileSampleResponse> {
+    return this.request<ProfileSampleResponse>(`/profiles/samples/${sampleId}`, {
+      method: 'PUT',
+      body: JSON.stringify({ reference_text: referenceText }),
+    });
+  }
+
   async exportProfile(profileId: string): Promise<Blob> {
     const url = `${this.getBaseUrl()}/profiles/${profileId}/export`;
     const response = await fetch(url);
diff --git a/app/src/lib/hooks/useModelDownloadToast.tsx b/app/src/lib/hooks/useModelDownloadToast.tsx
index 18dcfcc3..d1865bb4 100644
--- a/app/src/lib/hooks/useModelDownloadToast.tsx
+++ b/app/src/lib/hooks/useModelDownloadToast.tsx
@@ -140,8 +140,8 @@ export function useModelDownloadToast({
       }
     };
 
-    eventSource.onerror = () => {
-      console.error('SSE error');
+    eventSource.onerror = (error) => {
+      console.error('SSE error:', error);
       eventSource.close();
       eventSourceRef.current = null;
 
diff --git a/app/src/lib/hooks/useProfiles.ts b/app/src/lib/hooks/useProfiles.ts
index 52379345..f0415d70 100644
--- a/app/src/lib/hooks/useProfiles.ts
+++ b/app/src/lib/hooks/useProfiles.ts
@@ -98,6 +98,24 @@ export function useDeleteSample() {
   });
 }
 
+export function useUpdateSample() {
+  const queryClient = useQueryClient();
+
+  return useMutation({
+    mutationFn: ({ sampleId, referenceText }: { sampleId: string; referenceText: string }) =>
+      apiClient.updateProfileSample(sampleId, referenceText),
+    onSuccess: (data) => {
+      queryClient.invalidateQueries({
+        queryKey: ['profiles', data.profile_id, 'samples'],
+      });
+      queryClient.invalidateQueries({
+        queryKey: ['profiles', data.profile_id],
+      });
+      queryClient.invalidateQueries({ queryKey: ['profiles'] });
+    },
+  });
+}
+
 export function useExportProfile() {
   return useMutation({
     mutationFn: async (profileId: string) => {
diff --git a/backend/build_binary.py b/backend/build_binary.py
index 088f6e13..e9b23733 100644
--- a/backend/build_binary.py
+++ b/backend/build_binary.py
@@ -11,9 +11,6 @@ def build_server():
     """Build Python server as standalone binary."""
     backend_dir = Path(__file__).parent
 
-    # Check for local editable qwen_tts install
-    local_qwen_path = Path.home() / 'Projects' / 'voice' / 'Qwen3-TTS'
-
     # PyInstaller arguments
     args = [
         'server.py',  # Use server.py as entry point instead of main.py
@@ -21,10 +18,11 @@ def build_server():
         '--name', 'voicebox-server',
     ]
 
-    # Add local qwen_tts path if it exists (for editable installs)
-    if local_qwen_path.exists():
-        args.extend(['--paths', str(local_qwen_path)])
-        print(f"Using local qwen_tts source from: {local_qwen_path}")
+    # Add local qwen_tts path if specified (for editable installs)
+    qwen_tts_path = os.getenv('QWEN_TTS_PATH')
+    if qwen_tts_path and Path(qwen_tts_path).exists():
+        args.extend(['--paths', str(qwen_tts_path)])
+        print(f"Using local qwen_tts source from: {qwen_tts_path}")
 
     # Add hidden imports
     args.extend([
diff --git a/backend/main.py b/backend/main.py
index e3f6909b..ed1942ae 100644
--- a/backend/main.py
+++ b/backend/main.py
@@ -283,6 +283,19 @@ async def delete_profile_sample(
     return {"message": "Sample deleted successfully"}
 
 
+@app.put("/profiles/samples/{sample_id}", response_model=models.ProfileSampleResponse)
+async def update_profile_sample(
+    sample_id: str,
+    data: models.ProfileSampleUpdate,
+    db: Session = Depends(get_db),
+):
+    """Update a profile sample's reference text."""
+    sample = await profiles.update_profile_sample(sample_id, data.reference_text, db)
+    if not sample:
+        raise HTTPException(status_code=404, detail="Sample not found")
+    return sample
+
+
 @app.get("/profiles/{profile_id}/export")
 async def export_profile(
     profile_id: str,
diff --git a/backend/models.py b/backend/models.py
index b0f4452d..5009c2a3 100644
--- a/backend/models.py
+++ b/backend/models.py
@@ -32,6 +32,11 @@ class ProfileSampleCreate(BaseModel):
     reference_text: str = Field(..., min_length=1, max_length=1000)
 
 
+class ProfileSampleUpdate(BaseModel):
+    """Request model for updating a profile sample."""
+    reference_text: str = Field(..., min_length=1, max_length=1000)
+
+
 class ProfileSampleResponse(BaseModel):
     """Response model for profile sample."""
     id: str
diff --git a/backend/profiles.py b/backend/profiles.py
index 49fcd521..894611aa 100644
--- a/backend/profiles.py
+++ b/backend/profiles.py
@@ -273,6 +273,33 @@ async def delete_profile_sample(
     return True
 
 
+async def update_profile_sample(
+    sample_id: str,
+    reference_text: str,
+    db: Session,
+) -> Optional[ProfileSampleResponse]:
+    """
+    Update a profile sample's reference text.
+    
+    Args:
+        sample_id: Sample ID
+        reference_text: Updated reference text
+        db: Database session
+        
+    Returns:
+        Updated sample or None if not found
+    """
+    sample = db.query(DBProfileSample).filter_by(id=sample_id).first()
+    if not sample:
+        return None
+    
+    sample.reference_text = reference_text
+    db.commit()
+    db.refresh(sample)
+    
+    return ProfileSampleResponse.model_validate(sample)
+
+
 async def create_voice_prompt_for_profile(
     profile_id: str,
     db: Session,
diff --git a/backend/transcribe.py b/backend/transcribe.py
index 6f21966b..6d4ac060 100644
--- a/backend/transcribe.py
+++ b/backend/transcribe.py
@@ -162,9 +162,10 @@ class WhisperModel:
             # Set language if provided
             forced_decoder_ids = None
             if language:
-                lang_code = "en" if language == "en" else "zh"
+                # Support all languages from frontend: en, zh, ja, ko, de, fr, ru, pt, es, it
+                # Whisper supports these and many more
                 forced_decoder_ids = self.processor.get_decoder_prompt_ids(
-                    language=lang_code,
+                    language=language,
                     task="transcribe",
                 )
             
@@ -221,9 +222,10 @@ class WhisperModel:
             # Set language if provided
             forced_decoder_ids = None
             if language:
-                lang_code = "en" if language == "en" else "zh"
+                # Support all languages from frontend: en, zh, ja, ko, de, fr, ru, pt, es, it
+                # Whisper supports these and many more
                 forced_decoder_ids = self.processor.get_decoder_prompt_ids(
-                    language=lang_code,
+                    language=language,
                     task="transcribe",
                 )
             
diff --git a/backend/utils/progress.py b/backend/utils/progress.py
index 879ba6a5..bd51d984 100644
--- a/backend/utils/progress.py
+++ b/backend/utils/progress.py
@@ -26,7 +26,7 @@ class ProgressManager:
     ):
         """
         Update progress for a model download.
-        
+
         Args:
             model_name: Name of the model (e.g., "qwen-tts-1.7B", "whisper-base")
             current: Current bytes downloaded
@@ -34,8 +34,11 @@ class ProgressManager:
             filename: Current file being downloaded
             status: Status string (downloading, extracting, complete, error)
         """
+        import logging
+        logger = logging.getLogger(__name__)
+
         progress_pct = (current / total * 100) if total > 0 else 0
-        
+
         self._progress[model_name] = {
             "model_name": model_name,
             "current": current,
@@ -45,14 +48,18 @@ class ProgressManager:
             "status": status,
             "timestamp": datetime.now().isoformat(),
         }
-        
+
         # Notify all listeners
-        if model_name in self._listeners:
+        listener_count = len(self._listeners.get(model_name, []))
+        if listener_count > 0:
+            logger.debug(f"Notifying {listener_count} listeners for {model_name}: {progress_pct:.1f}% ({filename})")
             for queue in self._listeners[model_name]:
                 try:
                     queue.put_nowait(self._progress[model_name].copy())
                 except asyncio.QueueFull:
-                    pass
+                    logger.warning(f"Queue full for {model_name}, dropping update")
+        else:
+            logger.debug(f"No listeners for {model_name}, progress update stored: {progress_pct:.1f}%")
     
     def get_progress(self, model_name: str) -> Optional[Dict]:
         """Get current progress for a model."""
@@ -98,30 +105,40 @@ class ProgressManager:
     async def subscribe(self, model_name: str):
         """
         Subscribe to progress updates for a model.
-        
+
         Yields progress updates as Server-Sent Events.
         """
+        import logging
+        logger = logging.getLogger(__name__)
+
         queue = asyncio.Queue(maxsize=10)
-        
+
         # Add to listeners
         if model_name not in self._listeners:
             self._listeners[model_name] = []
         self._listeners[model_name].append(queue)
-        
+
+        logger.info(f"SSE client subscribed to {model_name}, total listeners: {len(self._listeners[model_name])}")
+
         try:
             # Send initial progress if available
             if model_name in self._progress:
+                logger.info(f"Sending initial progress for {model_name}: {self._progress[model_name].get('status')}")
                 yield f"data: {json.dumps(self._progress[model_name])}\n\n"
-            
+            else:
+                logger.info(f"No initial progress available for {model_name}")
+
             # Stream updates
             while True:
                 try:
                     # Wait for update with timeout
                     progress = await asyncio.wait_for(queue.get(), timeout=1.0)
+                    logger.debug(f"Sending progress update for {model_name}: {progress.get('status')} - {progress.get('progress', 0):.1f}%")
                     yield f"data: {json.dumps(progress)}\n\n"
-                    
+
                     # Stop if complete or error
                     if progress.get("status") in ("complete", "error"):
+                        logger.info(f"Download {progress.get('status')} for {model_name}, closing SSE connection")
                         break
                 except asyncio.TimeoutError:
                     # Send heartbeat
@@ -133,32 +150,41 @@ class ProgressManager:
                 self._listeners[model_name].remove(queue)
                 if not self._listeners[model_name]:
                     del self._listeners[model_name]
+                logger.info(f"SSE client unsubscribed from {model_name}, remaining listeners: {len(self._listeners.get(model_name, []))}")
     
     def mark_complete(self, model_name: str):
         """Mark a model download as complete."""
+        import logging
+        logger = logging.getLogger(__name__)
+
         if model_name in self._progress:
             self._progress[model_name]["status"] = "complete"
             self._progress[model_name]["progress"] = 100.0
+            logger.info(f"Marked {model_name} as complete")
             # Notify listeners
             if model_name in self._listeners:
                 for queue in self._listeners[model_name]:
                     try:
                         queue.put_nowait(self._progress[model_name].copy())
                     except asyncio.QueueFull:
-                        pass
+                        logger.warning(f"Queue full when marking {model_name} complete")
     
     def mark_error(self, model_name: str, error: str):
         """Mark a model download as failed."""
+        import logging
+        logger = logging.getLogger(__name__)
+
         if model_name in self._progress:
             self._progress[model_name]["status"] = "error"
             self._progress[model_name]["error"] = error
+            logger.error(f"Marked {model_name} as error: {error}")
             # Notify listeners
             if model_name in self._listeners:
                 for queue in self._listeners[model_name]:
                     try:
                         queue.put_nowait(self._progress[model_name].copy())
                     except asyncio.QueueFull:
-                        pass
+                        logger.warning(f"Queue full when marking {model_name} error")
 
 
 # Global progress manager instance
diff --git a/backend/voicebox-server.spec b/backend/voicebox-server.spec
deleted file mode 100644
index 71d87865..00000000
--- a/backend/voicebox-server.spec
+++ /dev/null
@@ -1,48 +0,0 @@
-# -*- mode: python ; coding: utf-8 -*-
-from PyInstaller.utils.hooks import collect_data_files
-from PyInstaller.utils.hooks import collect_submodules
-from PyInstaller.utils.hooks import copy_metadata
-
-datas = []
-hiddenimports = ['backend', 'backend.main', 'backend.config', 'backend.database', 'backend.models', 'backend.profiles', 'backend.history', 'backend.tts', 'backend.transcribe', 'backend.utils.audio', 'backend.utils.cache', 'backend.utils.progress', 'backend.utils.hf_progress', 'backend.utils.validation', 'torch', 'transformers', 'fastapi', 'uvicorn', 'sqlalchemy', 'librosa', 'soundfile', 'qwen_tts', 'qwen_tts.inference', 'qwen_tts.inference.qwen3_tts_model', 'qwen_tts.inference.qwen3_tts_tokenizer', 'qwen_tts.core', 'qwen_tts.cli', 'pkg_resources.extern']
-datas += collect_data_files('qwen_tts')
-datas += copy_metadata('qwen-tts')
-hiddenimports += collect_submodules('qwen_tts')
-hiddenimports += collect_submodules('jaraco')
-
-
-a = Analysis(
-    ['server.py'],
-    pathex=['C:\\Users\\ijame\\Projects\\voice\\Qwen3-TTS'],
-    binaries=[],
-    datas=datas,
-    hiddenimports=hiddenimports,
-    hookspath=[],
-    hooksconfig={},
-    runtime_hooks=[],
-    excludes=[],
-    noarchive=False,
-    optimize=0,
-)
-pyz = PYZ(a.pure)
-
-exe = EXE(
-    pyz,
-    a.scripts,
-    a.binaries,
-    a.datas,
-    [],
-    name='voicebox-server',
-    debug=False,
-    bootloader_ignore_signals=False,
-    strip=False,
-    upx=True,
-    upx_exclude=[],
-    runtime_tmpdir=None,
-    console=True,
-    disable_windowed_traceback=False,
-    argv_emulation=False,
-    target_arch=None,
-    codesign_identity=None,
-    entitlements_file=None,
-)
diff --git a/docs/plans/DOCKER_DEPLOYMENT.md b/docs/plans/DOCKER_DEPLOYMENT.md
new file mode 100644
index 00000000..6af65ed7
--- /dev/null
+++ b/docs/plans/DOCKER_DEPLOYMENT.md
@@ -0,0 +1,758 @@
+# Docker Deployment Guide
+
+**Status:** In Development for v0.2.0
+**Requested By:** Reddit community ([thread](https://reddit.com/r/LocalLLaMA/...))
+
+## Overview
+
+Docker support makes Voicebox easier to deploy, especially for:
+
+- **Consistent Environments**: Same setup across dev/staging/prod
+- **GPU Passthrough**: Easy NVIDIA/AMD GPU access
+- **Server Deployments**: Run on headless Linux servers
+- **Multi-User Setups**: Isolate instances per user/team
+- **Cloud Platforms**: Deploy to AWS, GCP, Azure, DigitalOcean
+
+## Quick Start
+
+### Using Pre-Built Images (Recommended)
+
+```bash
+# CPU-only version
+docker run -p 8000:8000 -v voicebox-data:/app/data \
+  ghcr.io/jamiepine/voicebox:latest
+
+# NVIDIA GPU version
+docker run --gpus all -p 8000:8000 -v voicebox-data:/app/data \
+  ghcr.io/jamiepine/voicebox:latest-cuda
+
+# AMD GPU version (experimental)
+docker run --device=/dev/kfd --device=/dev/dri -p 8000:8000 \
+  -v voicebox-data:/app/data \
+  ghcr.io/jamiepine/voicebox:latest-rocm
+```
+
+Then open: `http://localhost:8000`
+
+### Using Docker Compose (Easiest)
+
+Create `docker-compose.yml`:
+
+```yaml
+version: '3.8'
+
+services:
+  voicebox:
+    image: ghcr.io/jamiepine/voicebox:latest-cuda
+    ports:
+      - "8000:8000"
+    volumes:
+      - voicebox-data:/app/data
+      - huggingface-cache:/root/.cache/huggingface
+    environment:
+      - GPU_MEMORY_FRACTION=0.8  # Use 80% of GPU memory
+      - TTS_MODE=local
+      - WHISPER_MODE=local
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: 1
+              capabilities: [gpu]
+
+volumes:
+  voicebox-data:
+  huggingface-cache:
+```
+
+Run:
+```bash
+docker compose up -d
+```
+
+## Building From Source
+
+### Basic Dockerfile
+
+```dockerfile
+# Dockerfile
+FROM python:3.11-slim
+
+WORKDIR /app
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    git \
+    build-essential \
+    ffmpeg \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy application
+COPY backend/ /app/backend/
+COPY requirements.txt /app/
+
+# Install Python dependencies
+RUN pip install --no-cache-dir -r requirements.txt
+RUN pip install --no-cache-dir git+https://github.com/QwenLM/Qwen3-TTS.git
+
+# Create data directory
+RUN mkdir -p /app/data
+
+# Expose port
+EXPOSE 8000
+
+# Run server
+CMD ["uvicorn", "backend.main:app", "--host", "0.0.0.0", "--port", "8000"]
+```
+
+Build and run:
+```bash
+docker build -t voicebox .
+docker run -p 8000:8000 -v $(pwd)/data:/app/data voicebox
+```
+
+### Multi-Stage Build (Optimized)
+
+Smaller image size by separating build and runtime:
+
+```dockerfile
+# Dockerfile.optimized
+# Stage 1: Build dependencies
+FROM python:3.11-slim AS builder
+
+WORKDIR /build
+
+RUN apt-get update && apt-get install -y \
+    git build-essential && \
+    rm -rf /var/lib/apt/lists/*
+
+COPY backend/requirements.txt .
+RUN pip install --no-cache-dir --target=/build/packages \
+    -r requirements.txt
+
+RUN pip install --no-cache-dir --target=/build/packages \
+    git+https://github.com/QwenLM/Qwen3-TTS.git
+
+# Stage 2: Runtime
+FROM python:3.11-slim
+
+WORKDIR /app
+
+# Install only runtime dependencies
+RUN apt-get update && apt-get install -y \
+    ffmpeg \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy installed packages from builder
+COPY --from=builder /build/packages /usr/local/lib/python3.11/site-packages/
+
+# Copy application code
+COPY backend/ /app/backend/
+
+# Create data directory
+RUN mkdir -p /app/data
+
+EXPOSE 8000
+
+CMD ["uvicorn", "backend.main:app", "--host", "0.0.0.0", "--port", "8000"]
+```
+
+Build:
+```bash
+docker build -f Dockerfile.optimized -t voicebox:slim .
+```
+
+## GPU Support
+
+### NVIDIA GPUs (CUDA)
+
+**Dockerfile:**
+```dockerfile
+FROM nvidia/cuda:12.1.0-runtime-ubuntu22.04
+
+# Install Python
+RUN apt-get update && apt-get install -y \
+    python3.11 python3-pip git ffmpeg && \
+    rm -rf /var/lib/apt/lists/*
+
+WORKDIR /app
+
+# Install PyTorch with CUDA support
+COPY backend/requirements.txt .
+RUN pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
+
+# Install other dependencies
+RUN pip3 install -r requirements.txt
+RUN pip3 install git+https://github.com/QwenLM/Qwen3-TTS.git
+
+COPY backend/ /app/backend/
+
+EXPOSE 8000
+CMD ["uvicorn", "backend.main:app", "--host", "0.0.0.0", "--port", "8000"]
+```
+
+**Run with GPU:**
+```bash
+docker run --gpus all -p 8000:8000 \
+  -v voicebox-data:/app/data \
+  voicebox:cuda
+```
+
+**Docker Compose with GPU:**
+```yaml
+services:
+  voicebox:
+    image: voicebox:cuda
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: all
+              capabilities: [gpu]
+```
+
+### AMD GPUs (ROCm) - Experimental
+
+**Dockerfile:**
+```dockerfile
+FROM rocm/dev-ubuntu-22.04:6.0
+
+# Install Python
+RUN apt-get update && apt-get install -y \
+    python3.11 python3-pip git ffmpeg && \
+    rm -rf /var/lib/apt/lists/*
+
+WORKDIR /app
+
+# Install PyTorch with ROCm support
+COPY backend/requirements.txt .
+RUN pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm6.0
+
+# Install other dependencies
+RUN pip3 install -r requirements.txt
+RUN pip3 install git+https://github.com/QwenLM/Qwen3-TTS.git
+
+# Set ROCm environment variables
+ENV HSA_OVERRIDE_GFX_VERSION=10.3.0
+ENV ROCM_PATH=/opt/rocm
+
+COPY backend/ /app/backend/
+
+EXPOSE 8000
+CMD ["uvicorn", "backend.main:app", "--host", "0.0.0.0", "--port", "8000"]
+```
+
+**Run with AMD GPU:**
+```bash
+docker run --device=/dev/kfd --device=/dev/dri \
+  --group-add video --ipc=host --cap-add=SYS_PTRACE \
+  --security-opt seccomp=unconfined \
+  -p 8000:8000 -v voicebox-data:/app/data \
+  voicebox:rocm
+```
+
+**Note:** ROCm support varies by GPU model. Works best on Linux. See [AMD ROCm docs](https://rocm.docs.amd.com) for compatibility.
+
+## Volume Mounts
+
+### Essential Volumes
+
+```bash
+docker run -v voicebox-data:/app/data \           # Profiles, generations, history
+           -v huggingface-cache:/root/.cache/huggingface \  # Downloaded models
+           -p 8000:8000 voicebox
+```
+
+### Development Volume Mounts
+
+For development with hot-reload:
+
+```bash
+docker run -v $(pwd)/backend:/app/backend \       # Live code changes
+           -v voicebox-data:/app/data \
+           -e RELOAD=true \
+           -p 8000:8000 voicebox
+```
+
+### Custom Model Storage
+
+Use external model directory:
+
+```bash
+docker run -v /path/to/models:/models \
+           -e MODELS_DIR=/models \
+           -v voicebox-data:/app/data \
+           -p 8000:8000 voicebox
+```
+
+## Environment Variables
+
+Configure Voicebox via environment variables:
+
+```bash
+docker run -e TTS_MODE=local \
+           -e WHISPER_MODE=openai-api \
+           -e OPENAI_API_KEY=sk-... \
+           -e GPU_MEMORY_FRACTION=0.8 \
+           -e LOG_LEVEL=info \
+           -p 8000:8000 voicebox
+```
+
+### Available Variables
+
+| Variable | Default | Description |
+|----------|---------|-------------|
+| `TTS_MODE` | `local` | TTS provider: `local`, `remote` |
+| `TTS_REMOTE_URL` | - | URL for remote TTS server |
+| `WHISPER_MODE` | `local` | Whisper provider: `local`, `openai-api`, `remote` |
+| `WHISPER_REMOTE_URL` | - | URL for remote Whisper server |
+| `OPENAI_API_KEY` | - | OpenAI API key (if using OpenAI Whisper) |
+| `GPU_MEMORY_FRACTION` | `0.9` | Fraction of GPU memory to use (0.0-1.0) |
+| `DATA_DIR` | `/app/data` | Directory for profiles/generations |
+| `MODELS_DIR` | `/app/models` | Directory for local models |
+| `LOG_LEVEL` | `info` | Logging level: `debug`, `info`, `warning`, `error` |
+| `RELOAD` | `false` | Enable hot-reload for development |
+
+## Complete Docker Compose Examples
+
+### Production Deployment
+
+```yaml
+# docker-compose.prod.yml
+version: '3.8'
+
+services:
+  voicebox:
+    image: ghcr.io/jamiepine/voicebox:latest-cuda
+    container_name: voicebox
+    restart: unless-stopped
+    ports:
+      - "8000:8000"
+    volumes:
+      - voicebox-data:/app/data
+      - huggingface-cache:/root/.cache/huggingface
+    environment:
+      - TTS_MODE=local
+      - WHISPER_MODE=local
+      - GPU_MEMORY_FRACTION=0.8
+      - LOG_LEVEL=info
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: 1
+              capabilities: [gpu]
+    healthcheck:
+      test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+      start_period: 40s
+
+volumes:
+  voicebox-data:
+    driver: local
+  huggingface-cache:
+    driver: local
+```
+
+Run:
+```bash
+docker compose -f docker-compose.prod.yml up -d
+```
+
+### Development Setup
+
+```yaml
+# docker-compose.dev.yml
+version: '3.8'
+
+services:
+  voicebox:
+    build:
+      context: .
+      dockerfile: Dockerfile
+    ports:
+      - "8000:8000"
+    volumes:
+      - ./backend:/app/backend:ro
+      - voicebox-data:/app/data
+      - huggingface-cache:/root/.cache/huggingface
+    environment:
+      - RELOAD=true
+      - LOG_LEVEL=debug
+      - TTS_MODE=local
+    command: uvicorn backend.main:app --host 0.0.0.0 --port 8000 --reload
+
+volumes:
+  voicebox-data:
+  huggingface-cache:
+```
+
+### Multi-Service Stack
+
+Full stack with reverse proxy and monitoring:
+
+```yaml
+# docker-compose.stack.yml
+version: '3.8'
+
+services:
+  # Main Voicebox app
+  voicebox:
+    image: ghcr.io/jamiepine/voicebox:latest-cuda
+    restart: unless-stopped
+    volumes:
+      - voicebox-data:/app/data
+      - huggingface-cache:/root/.cache/huggingface
+    environment:
+      - TTS_MODE=local
+      - WHISPER_MODE=local
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: 1
+              capabilities: [gpu]
+
+  # Nginx reverse proxy
+  nginx:
+    image: nginx:alpine
+    ports:
+      - "80:80"
+      - "443:443"
+    volumes:
+      - ./nginx.conf:/etc/nginx/nginx.conf:ro
+      - ./ssl:/etc/nginx/ssl:ro
+    depends_on:
+      - voicebox
+
+  # Prometheus monitoring (optional)
+  prometheus:
+    image: prom/prometheus
+    ports:
+      - "9090:9090"
+    volumes:
+      - ./prometheus.yml:/etc/prometheus/prometheus.yml
+      - prometheus-data:/prometheus
+
+volumes:
+  voicebox-data:
+  huggingface-cache:
+  prometheus-data:
+```
+
+## Cloud Deployment
+
+### AWS EC2
+
+1. **Launch GPU Instance** (g4dn.xlarge or p3.2xlarge)
+2. **Install Docker + nvidia-docker:**
+   ```bash
+   # Amazon Linux 2
+   sudo yum install -y docker
+   sudo systemctl start docker
+   distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
+   curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add -
+   curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | \
+     sudo tee /etc/apt/sources.list.d/nvidia-docker.list
+   sudo apt-get update && sudo apt-get install -y nvidia-docker2
+   sudo systemctl restart docker
+   ```
+3. **Deploy:**
+   ```bash
+   docker run --gpus all -d -p 80:8000 \
+     -v voicebox-data:/app/data \
+     --restart unless-stopped \
+     ghcr.io/jamiepine/voicebox:latest-cuda
+   ```
+
+### DigitalOcean
+
+Use GPU Droplet + Docker:
+
+```bash
+# Create droplet via CLI
+doctl compute droplet create voicebox \
+  --size gpu-h100x1-80gb \
+  --image ubuntu-22-04-x64 \
+  --region nyc3
+
+# SSH and deploy
+ssh root@<droplet-ip>
+curl -fsSL https://get.docker.com -o get-docker.sh
+sh get-docker.sh
+docker run --gpus all -d -p 80:8000 voicebox:cuda
+```
+
+### Google Cloud Run (CPU-only)
+
+```bash
+# Build and push
+docker build -t gcr.io/your-project/voicebox .
+docker push gcr.io/your-project/voicebox
+
+# Deploy to Cloud Run
+gcloud run deploy voicebox \
+  --image gcr.io/your-project/voicebox \
+  --platform managed \
+  --region us-central1 \
+  --memory 4Gi \
+  --cpu 2 \
+  --port 8000
+```
+
+### Fly.io
+
+Create `fly.toml`:
+```toml
+app = "voicebox"
+
+[build]
+  image = "ghcr.io/jamiepine/voicebox:latest"
+
+[[services]]
+  http_checks = []
+  internal_port = 8000
+  protocol = "tcp"
+
+  [[services.ports]]
+    port = 80
+    handlers = ["http"]
+
+  [[services.ports]]
+    port = 443
+    handlers = ["tls", "http"]
+
+[mounts]
+  source = "voicebox_data"
+  destination = "/app/data"
+```
+
+Deploy:
+```bash
+fly launch
+fly deploy
+```
+
+## Troubleshooting
+
+### GPU Not Detected
+
+**Check NVIDIA Docker:**
+```bash
+docker run --rm --gpus all nvidia/cuda:12.1.0-base-ubuntu22.04 nvidia-smi
+```
+
+If this fails, reinstall nvidia-docker2.
+
+**Check AMD ROCm:**
+```bash
+docker run --rm --device=/dev/kfd --device=/dev/dri rocm/dev-ubuntu-22.04:6.0 rocminfo
+```
+
+### Permission Errors
+
+Container can't write to volumes:
+```bash
+# Fix permissions
+docker run --user $(id -u):$(id -g) -v $(pwd)/data:/app/data voicebox
+```
+
+### Out of Memory
+
+Reduce GPU memory usage:
+```bash
+docker run -e GPU_MEMORY_FRACTION=0.5 voicebox
+```
+
+Or use CPU-only:
+```bash
+docker run -e DEVICE=cpu voicebox
+```
+
+### Model Download Fails
+
+Ensure HuggingFace cache is writable:
+```bash
+docker run -v huggingface-cache:/root/.cache/huggingface voicebox
+```
+
+Or use host cache:
+```bash
+docker run -v ~/.cache/huggingface:/root/.cache/huggingface voicebox
+```
+
+### Port Already in Use
+
+Change host port:
+```bash
+docker run -p 8080:8000 voicebox  # Use port 8080 instead
+```
+
+## Security Best Practices
+
+### 1. Don't Run as Root
+
+Create non-root user in Dockerfile:
+```dockerfile
+RUN useradd -m -u 1000 voicebox
+USER voicebox
+```
+
+### 2. Use Secrets for API Keys
+
+Don't put API keys in docker-compose.yml:
+
+```bash
+# Use Docker secrets
+echo "sk-your-key" | docker secret create openai_key -
+
+docker service create \
+  --secret openai_key \
+  -e OPENAI_API_KEY_FILE=/run/secrets/openai_key \
+  voicebox
+```
+
+### 3. Network Isolation
+
+Use internal networks for multi-container setups:
+
+```yaml
+services:
+  voicebox:
+    networks:
+      - internal
+  nginx:
+    networks:
+      - internal
+      - external
+    ports:
+      - "80:80"
+
+networks:
+  internal:
+    internal: true
+  external:
+```
+
+### 4. Resource Limits
+
+Prevent resource exhaustion:
+
+```yaml
+services:
+  voicebox:
+    deploy:
+      resources:
+        limits:
+          cpus: '4'
+          memory: 8G
+        reservations:
+          cpus: '2'
+          memory: 4G
+```
+
+## Performance Tuning
+
+### GPU Memory Management
+
+```bash
+# Use 80% of GPU (default 90%)
+docker run -e GPU_MEMORY_FRACTION=0.8 voicebox
+
+# Allow GPU memory growth (prevents OOM)
+docker run -e TF_FORCE_GPU_ALLOW_GROWTH=true voicebox
+```
+
+### Model Caching
+
+Pre-download models to volume:
+
+```bash
+# Download models first
+docker run --rm -v huggingface-cache:/root/.cache/huggingface \
+  voicebox python -c "
+from transformers import WhisperProcessor, WhisperForConditionalGeneration
+WhisperProcessor.from_pretrained('openai/whisper-base')
+WhisperForConditionalGeneration.from_pretrained('openai/whisper-base')
+"
+
+# Then run normally
+docker run -v huggingface-cache:/root/.cache/huggingface voicebox
+```
+
+### Multi-Worker Setup
+
+Use uvicorn workers for better throughput:
+
+```dockerfile
+CMD ["uvicorn", "backend.main:app", "--host", "0.0.0.0", "--port", "8000", "--workers", "4"]
+```
+
+## Monitoring
+
+### Health Checks
+
+Built-in health endpoint:
+```bash
+curl http://localhost:8000/health
+```
+
+Docker health check:
+```yaml
+healthcheck:
+  test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
+  interval: 30s
+  timeout: 10s
+  retries: 3
+```
+
+### Prometheus Metrics
+
+Add metrics exporter:
+```python
+# backend/main.py
+from prometheus_fastapi_instrumentator import Instrumentator
+
+Instrumentator().instrument(app).expose(app)
+```
+
+Then scrape `/metrics` with Prometheus.
+
+### Logs
+
+View container logs:
+```bash
+docker logs -f voicebox
+
+# Or with compose
+docker compose logs -f voicebox
+```
+
+## Next Steps
+
+- [ ] Publish official images to GitHub Container Registry
+- [ ] Add Kubernetes Helm charts
+- [ ] Create Docker Desktop extension
+- [ ] Add automated vulnerability scanning
+- [ ] Support ARM64 builds for Raspberry Pi / Apple Silicon
+
+## Contributing
+
+Help improve Docker support:
+1. Test on different platforms (AMD GPU, ARM64, etc.)
+2. Submit Dockerfile optimizations
+3. Share deployment configurations
+4. Report issues: [GitHub Issues](https://github.com/jamiepine/voicebox/issues)
+
+## Resources
+
+- [Docker Documentation](https://docs.docker.com)
+- [NVIDIA Container Toolkit](https://github.com/NVIDIA/nvidia-docker)
+- [AMD ROCm Docker](https://rocm.docs.amd.com/projects/install-on-linux/en/latest/how-to/docker.html)
+- [Docker Compose Reference](https://docs.docker.com/compose/compose-file/)
diff --git a/docs/plans/EXTERNAL_PROVIDERS.md b/docs/plans/EXTERNAL_PROVIDERS.md
new file mode 100644
index 00000000..3b1e7e21
--- /dev/null
+++ b/docs/plans/EXTERNAL_PROVIDERS.md
@@ -0,0 +1,435 @@
+# External Provider Support
+
+**Status:** Planned for v0.2.0
+**Discussion:** [Reddit Thread](https://reddit.com/r/LocalLLaMA/...)
+
+## Overview
+
+External provider support allows you to connect Voicebox to remotely-hosted TTS and Whisper services instead of running models locally. This is useful for:
+
+- **Existing GPU Infrastructure**: You already have Qwen3-TTS running on a GPU server
+- **AMD GPU Users**: Run models on your AMD hardware, use Voicebox as the UI
+- **Cloud Deployments**: Host models on Modal, Replicate, RunPod, etc.
+- **Team Sharing**: Multiple users share one GPU server running models
+- **Mixed Deployments**: Local Whisper + remote TTS, or vice versa
+
+## Architecture
+
+```
+┌─────────────────┐         HTTP/API         ┌──────────────────┐
+│   Voicebox UI   │ ───────────────────────> │  Your TTS Server │
+│   + Backend     │                           │  (Qwen3-TTS on   │
+│                 │ <─────────────────────── │   AMD/NVIDIA GPU)│
+│  - Profiles     │      Audio + Metadata     └──────────────────┘
+│  - History      │
+│  - Audio Edit   │         HTTP/API         ┌──────────────────┐
+│  - UI           │ ───────────────────────> │ Whisper Service  │
+└─────────────────┘                           │ (OpenAI API or   │
+                                              │  self-hosted)    │
+                                              └──────────────────┘
+```
+
+**What Voicebox Still Handles:**
+- Voice profile management
+- Generation history
+- Audio trimming/editing
+- Multi-track story editor
+- UI/UX layer
+
+**What External Providers Handle:**
+- Model inference (TTS generation, transcription)
+- GPU allocation
+- Model loading/caching
+
+## Configuration
+
+### Environment Variables
+
+```bash
+# TTS Provider
+TTS_MODE=remote                              # local | remote
+TTS_REMOTE_URL=http://192.168.1.100:8000    # Your TTS server URL
+TTS_API_KEY=your-api-key                     # Optional authentication
+
+# Whisper Provider
+WHISPER_MODE=openai-api                      # local | openai-api | remote
+WHISPER_REMOTE_URL=http://localhost:9000     # For self-hosted Whisper
+OPENAI_API_KEY=sk-...                        # For OpenAI Whisper API
+```
+
+### Voicebox Config UI (Planned)
+
+Settings page will include:
+- Provider selection dropdowns
+- URL/API key inputs
+- Connection test button
+- Latency/status indicators
+
+## Hosting External Services
+
+### Option 1: Simple FastAPI Server (Recommended)
+
+Create a lightweight server to expose your local Qwen3-TTS model:
+
+```python
+# tts_server.py
+from fastapi import FastAPI, UploadFile, File
+from qwen_tts import Qwen3TTSModel
+import numpy as np
+import base64
+
+app = FastAPI()
+model = Qwen3TTSModel.from_pretrained(
+    "Qwen/Qwen3-TTS-12Hz-1.7B-Base",
+    device_map="cuda"  # or "cpu" for AMD ROCm: use torch+rocm
+)
+
+@app.post("/v1/generate")
+async def generate(
+    text: str,
+    voice_prompt: dict,
+    language: str = "en",
+    seed: int = None
+):
+    """Generate speech from text using voice prompt."""
+    audio, sample_rate = model.generate_voice_clone(
+        text=text,
+        voice_clone_prompt=voice_prompt,
+    )
+
+    # Return as base64 for transport
+    audio_bytes = audio.tobytes()
+    return {
+        "audio": base64.b64encode(audio_bytes).decode(),
+        "sample_rate": sample_rate,
+        "dtype": str(audio.dtype)
+    }
+
+@app.post("/v1/create_voice_prompt")
+async def create_voice_prompt(
+    audio: UploadFile = File(...),
+    reference_text: str = ""
+):
+    """Create voice prompt from reference audio."""
+    # Save uploaded audio temporarily
+    audio_path = f"/tmp/{audio.filename}"
+    with open(audio_path, "wb") as f:
+        f.write(await audio.read())
+
+    # Create voice prompt
+    voice_prompt = model.create_voice_clone_prompt(
+        ref_audio=audio_path,
+        ref_text=reference_text,
+    )
+
+    return {"voice_prompt": voice_prompt}
+
+@app.get("/health")
+async def health():
+    return {
+        "status": "healthy",
+        "model": "Qwen3-TTS-12Hz-1.7B-Base",
+        "device": str(model.device)
+    }
+
+if __name__ == "__main__":
+    import uvicorn
+    uvicorn.run(app, host="0.0.0.0", port=8000)
+```
+
+**Run it:**
+```bash
+# Install dependencies
+pip install fastapi uvicorn qwen-tts torch
+
+# For AMD GPUs, use ROCm PyTorch:
+pip install torch --index-url https://download.pytorch.org/whl/rocm6.4
+
+# Start server
+python tts_server.py
+```
+
+### Option 2: vLLM (If Supported)
+
+```bash
+vllm serve Qwen/Qwen3-TTS-12Hz-1.7B-Base \
+  --host 0.0.0.0 \
+  --port 8000 \
+  --gpu-memory-utilization 0.9
+```
+
+### Option 3: Cloud Platforms
+
+**Modal.com Example:**
+```python
+import modal
+
+app = modal.App("qwen-tts")
+image = modal.Image.debian_slim().pip_install("qwen-tts", "torch")
+
+@app.function(gpu="A10G", image=image)
+@modal.web_endpoint(method="POST")
+def generate(text: str, voice_prompt: dict):
+    from qwen_tts import Qwen3TTSModel
+    model = Qwen3TTSModel.from_pretrained("Qwen/Qwen3-TTS-12Hz-1.7B-Base")
+    audio, sr = model.generate_voice_clone(text, voice_prompt)
+    return {"audio": audio.tolist(), "sample_rate": sr}
+```
+
+Deploy: `modal deploy tts_server.py`
+Get URL: `https://yourapp--generate.modal.run`
+
+## API Specification
+
+External TTS providers must implement these endpoints:
+
+### `POST /v1/generate`
+
+Generate speech from text.
+
+**Request:**
+```json
+{
+  "text": "Hello, this is a test.",
+  "voice_prompt": { /* voice prompt object */ },
+  "language": "en",
+  "seed": 12345
+}
+```
+
+**Response:**
+```json
+{
+  "audio": "base64-encoded-audio-bytes",
+  "sample_rate": 24000,
+  "dtype": "float32"
+}
+```
+
+### `POST /v1/create_voice_prompt`
+
+Create a voice prompt from reference audio.
+
+**Request:** (multipart/form-data)
+- `audio`: Audio file upload
+- `reference_text`: Transcript of the audio
+
+**Response:**
+```json
+{
+  "voice_prompt": { /* voice prompt object */ }
+}
+```
+
+### `GET /health`
+
+Health check endpoint.
+
+**Response:**
+```json
+{
+  "status": "healthy",
+  "model": "Qwen3-TTS-12Hz-1.7B-Base",
+  "device": "cuda:0"
+}
+```
+
+## Whisper External Providers
+
+### OpenAI Whisper API
+
+Simply set:
+```bash
+WHISPER_MODE=openai-api
+OPENAI_API_KEY=sk-...
+```
+
+Voicebox will use OpenAI's Whisper API automatically.
+
+### Self-Hosted Whisper
+
+Run your own Whisper server:
+
+```python
+# whisper_server.py
+from fastapi import FastAPI, UploadFile, File
+from transformers import WhisperProcessor, WhisperForConditionalGeneration
+import librosa
+
+app = FastAPI()
+processor = WhisperProcessor.from_pretrained("openai/whisper-base")
+model = WhisperForConditionalGeneration.from_pretrained("openai/whisper-base")
+
+@app.post("/v1/transcribe")
+async def transcribe(audio: UploadFile = File(...), language: str = None):
+    # Load audio
+    audio_path = f"/tmp/{audio.filename}"
+    with open(audio_path, "wb") as f:
+        f.write(await audio.read())
+
+    audio_data, sr = librosa.load(audio_path, sr=16000)
+
+    # Process
+    inputs = processor(audio_data, sampling_rate=16000, return_tensors="pt")
+    predicted_ids = model.generate(inputs["input_features"])
+    transcription = processor.batch_decode(predicted_ids, skip_special_tokens=True)[0]
+
+    return {"text": transcription}
+```
+
+Configure Voicebox:
+```bash
+WHISPER_MODE=remote
+WHISPER_REMOTE_URL=http://localhost:9000
+```
+
+## Use Cases
+
+### 1. AMD GPU User with Existing Setup
+
+**Scenario:** You have a Radeon 7900 XTX running Qwen3-TTS on Linux.
+
+**Setup:**
+1. Run `tts_server.py` on your AMD box (ROCm PyTorch)
+2. Configure Voicebox: `TTS_MODE=remote`, `TTS_REMOTE_URL=http://amd-box:8000`
+3. Use Voicebox UI for profiles, generation, editing
+4. TTS happens on your AMD GPU
+
+### 2. Team Deployment
+
+**Scenario:** 5 team members, 1 GPU server.
+
+**Setup:**
+1. Deploy TTS server on shared GPU box
+2. Each person runs Voicebox desktop app locally
+3. All point to same `TTS_REMOTE_URL`
+4. Profiles and history stay local per user
+5. GPU usage is shared
+
+### 3. Hybrid Local/Remote
+
+**Scenario:** Fast local Whisper, heavy TTS on cloud.
+
+**Setup:**
+```bash
+TTS_MODE=remote
+TTS_REMOTE_URL=https://your-modal-app.modal.run
+
+WHISPER_MODE=local  # Fast transcription on your CPU
+```
+
+### 4. OpenAI Whisper + Self-Hosted TTS
+
+**Scenario:** Use OpenAI's API for transcription, run TTS locally.
+
+**Setup:**
+```bash
+TTS_MODE=local
+
+WHISPER_MODE=openai-api
+OPENAI_API_KEY=sk-...
+```
+
+## Security Considerations
+
+### Authentication
+
+Add API key authentication to your external server:
+
+```python
+from fastapi import Header, HTTPException
+
+API_KEY = "your-secret-key"
+
+async def verify_api_key(x_api_key: str = Header(...)):
+    if x_api_key != API_KEY:
+        raise HTTPException(status_code=401, detail="Invalid API key")
+
+@app.post("/v1/generate", dependencies=[Depends(verify_api_key)])
+async def generate(...):
+    ...
+```
+
+Configure Voicebox:
+```bash
+TTS_API_KEY=your-secret-key
+```
+
+### Network Security
+
+- **VPN/Tailscale**: Use private network for remote servers
+- **HTTPS**: Use reverse proxy (nginx/Caddy) with SSL certificates
+- **Firewall**: Restrict access to known IPs
+
+### Rate Limiting
+
+Protect your external server:
+
+```python
+from slowapi import Limiter
+from slowapi.util import get_remote_address
+
+limiter = Limiter(key_func=get_remote_address)
+app.state.limiter = limiter
+
+@app.post("/v1/generate")
+@limiter.limit("10/minute")
+async def generate(...):
+    ...
+```
+
+## Performance Considerations
+
+### Latency
+
+External providers add network latency:
+- **Local network**: ~10-50ms overhead (negligible)
+- **Same datacenter**: ~1-5ms overhead
+- **Cross-region cloud**: 50-200ms+ overhead
+
+For real-time applications, keep TTS server on local network or same cloud region.
+
+### Caching
+
+Implement response caching on external server:
+
+```python
+from functools import lru_cache
+
+@lru_cache(maxsize=1000)
+def get_cached_generation(text, voice_prompt_hash, language, seed):
+    return model.generate_voice_clone(text, voice_prompt)
+```
+
+### Load Balancing
+
+For high-traffic deployments, run multiple TTS servers behind a load balancer:
+
+```
+Voicebox ──> Load Balancer ──> TTS Server 1 (GPU 1)
+                           ├──> TTS Server 2 (GPU 2)
+                           └──> TTS Server 3 (GPU 3)
+```
+
+## Future Enhancements
+
+- [ ] **Provider Marketplace**: Built-in directory of compatible providers
+- [ ] **Automatic Fallback**: If remote fails, fallback to local
+- [ ] **Cost Tracking**: Monitor API usage and costs
+- [ ] **Performance Metrics**: Latency, throughput dashboards
+- [ ] **Multi-Provider**: Use different providers for different voices/languages
+
+## Contributing
+
+If you build an external provider, please share:
+1. Server implementation
+2. Performance benchmarks
+3. Deployment guide
+
+Submit to: [GitHub Discussions](https://github.com/jamiepine/voicebox/discussions)
+
+## Questions?
+
+- **Discord**: [Join the community](https://discord.gg/...)
+- **GitHub**: [Open an issue](https://github.com/jamiepine/voicebox/issues)
+- **Docs**: [Full documentation](https://voicebox.sh/docs)
diff --git a/tauri/src-tauri/gen/Assets.car b/tauri/src-tauri/gen/Assets.car
index c01e5cca..9a0cfb6b 100644
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