Audio upload OR pasted transcript → Transcribe → Summarize (DistilBART, maxLength 200 / minLength 60) → Extract action items (useGenerateObject on Granite 4.0 350M) with a visible three-step indicator, a cancel that preserves completed steps, action-item priority badges + completion toggles with a live X/Y count, a [No speech detected] short-circuit, and a structured dated .txt export. Owns its own STT selector (Whisper Tiny EN default + Moonshine-Base recommendation hint) and its own adapter-backed inference-device probe for the Granite LM. Fully on-device. Split from ui/blocks/audio-studio (Meeting tab).
src/app/blocks/audio/meeting-assistant/meeting-assistant.tsx
'use client';
/**
* @file meeting-assistant.tsx
* @description Meeting Assistant — audio upload OR pasted transcript → Transcribe → Summarize (DistilBART) → Extract action items (Granite 4.0 350M) with a three-step indicator, cancel-preserves-completed-steps, priority/toggle/progress, and a dated .txt export; owns its STT selector + adapter-backed device probe.
*/
import { useEffect, useRef, useState, type Dispatch, type SetStateAction } from 'react';
import {
downloadBlob,
useGenerateObject,
useModelLoad,
useSummarize,
useTranscribe,
type UseModelLoadReturn,
} from '@localmode/react';
import { summarize, transcribe, isWebGPUSupported } from '@localmode/core';
import type {
LanguageModel,
ObjectSchema,
SpeechToTextModel,
SummarizationModel,
} from '@localmode/core';
import { transformers, isModelCached } from '@localmode/transformers';
import { FileDropzone } from '@/components/file-dropzone';
import { AudioScrubPlayer } from '@/components/audio-scrub-player';
import { ModelSelector } from '@/components/model-selector';
import { ModelLoadingPanel } from '@/components/model-loading-panel';
import { ErrorAlert } from '@/components/error-alert';
import { cn } from '@/lib/utils';
interface SttModelEntry {
id: string;
name: string;
size: string;
timestamps: boolean;
}
const STT_MODELS: readonly SttModelEntry[] = [
{ id: 'Xenova/whisper-tiny.en', name: 'Whisper Tiny EN', size: '~40MB', timestamps: true },
{ id: 'onnx-community/moonshine-tiny-ONNX', name: 'Moonshine Tiny', size: '~50MB', timestamps: false },
{ id: 'onnx-community/moonshine-base-ONNX', name: 'Moonshine Base', size: '~237MB', timestamps: false },
];
const DEFAULT_STT_MODEL_ID = STT_MODELS[0].id;
function sttSupportsTimestamps(modelId: string): boolean {
return STT_MODELS.find((m) => m.id === modelId)?.timestamps ?? false;
}
const SUMMARIZER_MODEL_ID = 'Xenova/distilbart-cnn-6-6';
const SUMMARIZER_MODEL_SIZE = '~200MB';
const SUMMARY_MAX_LENGTH = 200;
const SUMMARY_MIN_LENGTH = 60;
const PLANNER_MODEL_ID = 'onnx-community/granite-4.0-350m-ONNX-web';
const PLANNER_MODEL_SIZE = '~120MB';
const NO_SPEECH_TEXT = '[No speech detected]';
const ACCEPTED_AUDIO_MIME_TYPES = [
'audio/wav',
'audio/x-wav',
'audio/wave',
'audio/mp3',
'audio/mpeg',
'audio/webm',
'audio/ogg',
'audio/mp4',
'audio/x-m4a',
'audio/m4a',
'audio/aac',
'video/mp4',
];
interface ExtractedActionItem {
text: string;
priority: 'high' | 'medium' | 'low';
}
const PRIORITIES = new Set(['high', 'medium', 'low']);
const ACTION_ITEMS_SCHEMA: ObjectSchema<{ items: ExtractedActionItem[] }> = {
description: 'Action items extracted from a meeting transcript',
jsonSchema: {
type: 'object',
properties: {
items: {
type: 'array',
items: {
type: 'object',
properties: {
text: { type: 'string', description: 'The task or commitment' },
priority: { type: 'string', enum: ['high', 'medium', 'low'] },
},
required: ['text', 'priority'],
},
},
},
required: ['items'],
},
parse: (value: unknown) => {
if (typeof value !== 'object' || value === null || !Array.isArray((value as { items?: unknown }).items)) {
throw new Error('Expected an object with an "items" array');
}
const items: ExtractedActionItem[] = [];
for (const raw of (value as { items: unknown[] }).items) {
if (typeof raw !== 'object' || raw === null) continue;
const text = (raw as { text?: unknown }).text;
if (typeof text !== 'string' || text.trim().length === 0) continue;
const rawPriority = String((raw as { priority?: unknown }).priority ?? '').toLowerCase();
items.push({
text: text.trim(),
priority: (PRIORITIES.has(rawPriority) ? rawPriority : 'medium') as ExtractedActionItem['priority'],
});
}
return { items: items.slice(0, 12) };
},
};
function buildActionItemsPrompt(transcript: string): string {
return [
'Extract the action items from this meeting transcript. An action item is a specific task, commitment, or follow-up that someone agreed to do.',
'For each item provide the task text and a priority: "high" for urgent or deadline-bound items, "medium" for important items, "low" for nice-to-haves.',
'Return at most 8 items. If there are none, return an empty items list.',
'',
'Transcript:',
'"""',
transcript,
'"""',
].join('\n');
}
interface MeetingActionItem extends ExtractedActionItem {
id: string;
completed: boolean;
}
interface MeetingData {
sourceLabel: string;
audio: Blob | null;
transcript: string;
summary: string | null;
actionItems: MeetingActionItem[] | null;
noSpeech: boolean;
}
function countWords(text: string): number {
return text.trim().split(/\s+/).filter(Boolean).length;
}
function buildMeetingExport(
transcript: string,
summary: string | null,
actionItems: Array<{ text: string; completed: boolean; priority: string }>,
): string {
const lines: string[] = ['MEETING TRANSCRIPT', '==================', '', transcript];
if (summary) {
lines.push('', 'SUMMARY', '-------', summary);
}
if (actionItems.length > 0) {
lines.push('', 'ACTION ITEMS', '------------');
actionItems.forEach((item, i) => {
const status = item.completed ? '[x]' : '[ ]';
lines.push(`${status} ${i + 1}. ${item.text} (${item.priority})`);
});
}
return lines.join('\n');
}
function meetingExportFilename(now = new Date()): string {
return `meeting-transcript-${now.toISOString().slice(0, 10)}.txt`;
}
type MeetingStep = 'transcribe' | 'summarize' | 'extract';
type StepState = 'pending' | 'active' | 'done' | 'skipped';
const STEPS: ReadonlyArray<{ id: MeetingStep; label: string }> = [
{ id: 'transcribe', label: 'Transcribe' },
{ id: 'summarize', label: 'Summarize' },
{ id: 'extract', label: 'Extract' },
];
const PRIORITY_BADGE: Record<ExtractedActionItem['priority'], string> = {
high: 'bg-destructive/10 text-destructive ring-1 ring-inset ring-destructive/20',
medium: 'bg-amber-500/10 text-amber-700 dark:text-amber-400 ring-1 ring-inset ring-amber-500/20',
low: 'bg-muted text-muted-foreground ring-1 ring-inset ring-border',
};
export function MeetingAssistantBlock() {
const [sttModelId, setSttModelId] = useState(DEFAULT_STT_MODEL_ID);
const [meeting, setMeeting] = useState<MeetingData | null>(null);
const [device, setDevice] = useState<'webgpu' | 'wasm' | null>(null);
useEffect(() => {
let alive = true;
void isWebGPUSupported().then((ok) => {
if (alive) setDevice(ok ? 'webgpu' : 'wasm');
});
return () => {
alive = false;
};
}, []);
return (
<div className="flex flex-col gap-4 p-4">
{device ? (
<MeetingSession
key={sttModelId}
sttModelId={sttModelId}
onSttModelIdChange={setSttModelId}
device={device}
meeting={meeting}
onMeetingChange={setMeeting}
/>
) : (
<p className="p-4 text-sm text-muted-foreground">Preparing…</p>
)}
</div>
);
}
interface MeetingSessionProps {
sttModelId: string;
onSttModelIdChange: (id: string) => void;
device: 'webgpu' | 'wasm';
meeting: MeetingData | null;
onMeetingChange: Dispatch<SetStateAction<MeetingData | null>>;
}
function MeetingSession({
sttModelId,
onSttModelIdChange,
device,
meeting,
onMeetingChange,
}: MeetingSessionProps) {
const stt = useModelLoad<SpeechToTextModel>({
key: `meeting-assistant-stt:${sttModelId}`,
create: (onProgress) =>
transformers.speechToText(sttModelId, {
onProgress: (p) => onProgress(p as Parameters<typeof onProgress>[0]),
}),
warmup: (model) => transcribe({ model, audio: new Float32Array(16_000) }),
isCached: () => isModelCached(sttModelId),
});
const sttEntry = STT_MODELS.find((m) => m.id === sttModelId) ?? STT_MODELS[0];
return (
<div className="flex flex-col gap-4">
{}
<section className="flex flex-col gap-2">
<div data-model-id={sttModelId}>
<p className="mb-1 text-xs font-medium text-muted-foreground">
Speech-to-text model - downloads only when you transcribe a meeting or press its download
action.
</p>
<ModelSelector
models={STT_MODELS.map((m) => ({
id: m.id,
name: m.name,
backend: 'onnx' as const,
category: m.timestamps ? 'STT · timestamps' : 'STT',
size: m.size,
}))}
selectedId={sttModelId}
busyIds={stt.status === 'loading' ? new Set([sttModelId]) : undefined}
onSelect={onSttModelIdChange}
onDownload={(id) => {
if (id === sttModelId) void stt.load().catch(() => {});
else onSttModelIdChange(id);
}}
/>
</div>
{stt.status === 'loading' && (
<ModelLoadingPanel
name={sttEntry.name}
size={sttEntry.size}
category="Speech-to-text"
progress={stt.progressValue}
cached={stt.cached === true}
/>
)}
</section>
{}
{stt.model ? (
<MeetingPipeline
stt={stt as UseModelLoadReturn<SpeechToTextModel>}
sttModel={stt.model}
sttModelId={sttModelId}
device={device}
meeting={meeting}
onMeetingChange={onMeetingChange}
/>
) : (
<p className="p-4 text-sm text-muted-foreground">Preparing…</p>
)}
</div>
);
}
interface MeetingPipelineProps {
stt: UseModelLoadReturn<SpeechToTextModel>;
sttModel: SpeechToTextModel;
sttModelId: string;
device: 'webgpu' | 'wasm';
meeting: MeetingData | null;
onMeetingChange: Dispatch<SetStateAction<MeetingData | null>>;
}
function MeetingPipeline({
stt,
sttModel,
sttModelId,
device,
meeting,
onMeetingChange,
}: MeetingPipelineProps) {
const transcriber = useTranscribe({ model: sttModel });
const summarizerLoad = useModelLoad<SummarizationModel>({
key: `meeting-assistant-summarizer:${SUMMARIZER_MODEL_ID}`,
create: (onProgress) =>
transformers.summarizer(SUMMARIZER_MODEL_ID, {
onProgress: (p) => onProgress(p as Parameters<typeof onProgress>[0]),
}),
warmup: (model) =>
summarize({
model,
text: 'The team met to plan the release. The release ships next week after testing completes.',
maxLength: 20,
minLength: 5,
}),
isCached: () => isModelCached(SUMMARIZER_MODEL_ID),
});
const plannerLoad = useModelLoad<LanguageModel>({
key: `meeting-assistant-planner:${PLANNER_MODEL_ID}`,
create: (onProgress) =>
transformers.languageModel(PLANNER_MODEL_ID, {
device,
onProgress: (p) => onProgress(p as Parameters<typeof onProgress>[0]),
}),
isCached: () => isModelCached(PLANNER_MODEL_ID),
});
const summarizerModel = summarizerLoad.model;
const plannerModel = plannerLoad.model;
if (!summarizerModel || !plannerModel) {
return <p className="p-4 text-sm text-muted-foreground">Preparing…</p>;
}
return (
<MeetingSurface
stt={stt}
transcriber={transcriber}
summarizerLoad={summarizerLoad}
summarizerModel={summarizerModel}
plannerLoad={plannerLoad}
plannerModel={plannerModel}
sttModelId={sttModelId}
meeting={meeting}
onMeetingChange={onMeetingChange}
/>
);
}
interface MeetingSurfaceProps {
stt: UseModelLoadReturn<SpeechToTextModel>;
transcriber: ReturnType<typeof useTranscribe>;
summarizerLoad: UseModelLoadReturn<SummarizationModel>;
summarizerModel: SummarizationModel;
plannerLoad: UseModelLoadReturn<LanguageModel>;
plannerModel: LanguageModel;
sttModelId: string;
meeting: MeetingData | null;
onMeetingChange: Dispatch<SetStateAction<MeetingData | null>>;
}
function MeetingSurface({
stt,
transcriber,
summarizerLoad,
summarizerModel,
plannerLoad,
plannerModel,
sttModelId,
meeting,
onMeetingChange,
}: MeetingSurfaceProps) {
const summarizer = useSummarize({ model: summarizerModel });
const extractor = useGenerateObject({
model: plannerModel,
schema: ACTION_ITEMS_SCHEMA,
temperature: 0,
maxTokens: 512,
});
const [pastedText, setPastedText] = useState('');
const [activeStep, setActiveStep] = useState<MeetingStep | null>(null);
const [doneSteps, setDoneSteps] = useState<ReadonlySet<MeetingStep>>(new Set());
const [transcribeSkipped, setTranscribeSkipped] = useState(false);
const [actionError, setActionError] = useState<string | null>(null);
const [dismissedError, setDismissedError] = useState<string | null>(null);
const runIdRef = useRef(0);
const running = activeStep !== null;
const markDone = (step: MeetingStep) =>
setDoneSteps((prev) => {
const next = new Set(prev);
next.add(step);
return next;
});
const runPipeline = async (source: { file?: File; text?: string }) => {
const runId = ++runIdRef.current;
const cancelled = () => runIdRef.current !== runId;
setActionError(null);
setDismissedError(null);
setDoneSteps(new Set());
setTranscribeSkipped(!!source.text);
transcriber.reset();
summarizer.reset();
extractor.reset();
const base: MeetingData = {
sourceLabel: source.file ? source.file.name : 'Pasted transcript',
audio: source.file ?? null,
transcript: '',
summary: null,
actionItems: null,
noSpeech: false,
};
onMeetingChange(base);
try {
let transcript = source.text?.trim() ?? '';
if (source.file) {
setActiveStep('transcribe');
await stt.load();
if (cancelled()) return;
const result = await transcriber.execute(source.file);
if (!result || cancelled()) return;
transcript = result.text.trim();
if (!transcript) {
onMeetingChange({ ...base, transcript: NO_SPEECH_TEXT, noSpeech: true });
markDone('transcribe');
return;
}
markDone('transcribe');
}
onMeetingChange((prev) => (prev ? { ...prev, transcript } : prev));
setActiveStep('summarize');
await summarizerLoad.load();
if (cancelled()) return;
const summaryResult = await summarizer.execute({
text: transcript,
maxLength: SUMMARY_MAX_LENGTH,
minLength: SUMMARY_MIN_LENGTH,
});
if (!summaryResult || cancelled()) return;
onMeetingChange((prev) => (prev ? { ...prev, summary: summaryResult.summary } : prev));
markDone('summarize');
setActiveStep('extract');
await plannerLoad.load();
if (cancelled()) return;
const extraction = await extractor.execute(buildActionItemsPrompt(transcript));
if (!extraction || cancelled()) return;
onMeetingChange((prev) =>
prev
? {
...prev,
actionItems: extraction.object.items.map((item) => ({
...item,
id: crypto.randomUUID(),
completed: false,
})),
}
: prev,
);
markDone('extract');
} catch (err) {
if (!cancelled()) setActionError(err instanceof Error ? err.message : String(err));
} finally {
if (runIdRef.current === runId) setActiveStep(null);
}
};
const cancelPipeline = () => {
runIdRef.current++;
transcriber.cancel();
summarizer.cancel();
extractor.cancel();
setActiveStep(null);
};
const resetMeeting = () => {
cancelPipeline();
onMeetingChange(null);
setPastedText('');
setDoneSteps(new Set());
setTranscribeSkipped(false);
setActionError(null);
};
const toggleActionItem = (id: string) => {
onMeetingChange((prev) =>
prev && prev.actionItems
? {
...prev,
actionItems: prev.actionItems.map((item) =>
item.id === id ? { ...item, completed: !item.completed } : item,
),
}
: prev,
);
};
const exportMeeting = () => {
if (!meeting) return;
downloadBlob(
buildMeetingExport(meeting.transcript, meeting.summary, meeting.actionItems ?? []),
meetingExportFilename(),
);
};
const stepState = (step: MeetingStep): StepState => {
if (step === 'transcribe' && transcribeSkipped) return 'skipped';
if (doneSteps.has(step)) return 'done';
if (activeStep === step) return 'active';
return 'pending';
};
const rawErrorText =
actionError ??
transcriber.error?.message ??
summarizer.error?.message ??
extractor.error?.message ??
null;
const errorText = rawErrorText && rawErrorText !== dismissedError ? rawErrorText : null;
const statusText = running
? activeStep === 'transcribe'
? 'transcribing'
: activeStep === 'summarize'
? 'summarizing'
: 'extracting'
: errorText
? 'error'
: meeting
? 'ready'
: 'idle';
const statusLabel =
statusText === 'transcribing'
? 'Transcribing…'
: statusText === 'summarizing'
? 'Summarizing…'
: statusText === 'extracting'
? 'Extracting…'
: statusText === 'error'
? 'Error'
: statusText === 'ready'
? 'Ready'
: 'Idle';
const doneCount = meeting?.actionItems?.filter((i) => i.completed).length ?? 0;
const totalCount = meeting?.actionItems?.length ?? 0;
return (
<div className="flex flex-col gap-4">
<p
data-status={statusText}
role="status"
aria-live="polite"
aria-label="Status"
className="text-xs text-muted-foreground"
>
{statusLabel}
</p>
{errorText && (
<ErrorAlert
message={errorText}
onDismiss={() => {
setDismissedError(rawErrorText);
setActionError(null);
}}
/>
)}
{}
{!meeting && !running && (
<div className="grid gap-4 sm:grid-cols-2">
<section aria-label="Upload meeting audio" className="flex flex-col gap-2 rounded-lg border border-border p-4">
<h2 className="text-sm font-medium">Upload meeting audio</h2>
<div>
<FileDropzone
onUpload={(files) => {
const file = files[0];
if (file) void runPipeline({ file });
}}
accept={ACCEPTED_AUDIO_MIME_TYPES}
multiple={false}
label="Drop a recording or click to browse"
hint=".mp3, .wav, .webm, .m4a, .mp4"
/>
</div>
{sttModelId !== 'onnx-community/moonshine-base-ONNX' && (
<p className="text-xs text-muted-foreground">
Tip: Moonshine Base (~237MB) gives the best meeting transcription - pick it in the
speech-to-text selector above.
</p>
)}
</section>
<section className="flex flex-col gap-2 rounded-lg border border-border p-4">
<h2 className="text-sm font-medium">Or paste a transcript</h2>
<textarea
value={pastedText}
onChange={(e) => setPastedText(e.target.value)}
rows={6}
placeholder="Paste a meeting transcript - skips the transcription step."
aria-label="Meeting transcript"
className="w-full rounded-md border border-input bg-background px-3 py-2 text-sm focus-visible:outline-none focus-visible:ring-[3px] focus-visible:ring-ring/50"
/>
<button
type="button"
onClick={() => void runPipeline({ text: pastedText })}
disabled={!pastedText.trim()}
className="inline-flex h-8 w-fit items-center rounded-md bg-primary px-3 text-sm font-medium text-primary-foreground focus-visible:outline-none focus-visible:ring-[3px] focus-visible:ring-ring/50 disabled:opacity-50"
>
Process transcript
</button>
</section>
</div>
)}
{}
{(running || meeting) && (
<section className="flex flex-col gap-3 rounded-lg border border-border p-4">
{}
<div className="flex flex-col gap-3 sm:flex-row sm:items-center sm:justify-between">
<ol aria-label="Meeting pipeline" className="flex flex-wrap items-center gap-2">
{STEPS.map((step, i) => {
const state = stepState(step.id);
return (
<li
key={step.id}
data-step={step.id}
data-state={state}
aria-label={step.label}
className="flex items-center gap-2"
>
{i > 0 && (
<span className="text-muted-foreground" aria-hidden="true">
→
</span>
)}
<span
className={cn(
'inline-flex items-center gap-1.5 rounded-md px-2 py-0.5 text-xs font-medium',
state === 'done' && 'bg-primary/10 text-primary',
state === 'active' && 'bg-primary text-primary-foreground',
state === 'pending' && 'bg-muted text-muted-foreground',
state === 'skipped' && 'bg-muted text-muted-foreground line-through',
)}
>
{state === 'active' && (
<span
className="size-3 animate-spin rounded-full border-2 border-primary-foreground/40 border-t-primary-foreground motion-reduce:animate-none"
aria-hidden="true"
/>
)}
{state === 'done' && <span aria-hidden="true">✓</span>}
{step.label}
</span>
</li>
);
})}
</ol>
<div className="flex flex-wrap gap-2">
{running && (
<button
type="button"
onClick={cancelPipeline}
className="inline-flex h-7 items-center rounded-md border border-border px-2.5 text-xs focus-visible:outline-none focus-visible:ring-[3px] focus-visible:ring-ring/50"
>
Cancel
</button>
)}
<button
type="button"
onClick={exportMeeting}
disabled={!meeting || !meeting.transcript}
className="inline-flex h-7 items-center rounded-md border border-border px-2.5 text-xs focus-visible:outline-none focus-visible:ring-[3px] focus-visible:ring-ring/50 disabled:opacity-50"
>
Export .txt
</button>
<button
type="button"
onClick={resetMeeting}
className="inline-flex h-7 items-center rounded-md border border-border px-2.5 text-xs focus-visible:outline-none focus-visible:ring-[3px] focus-visible:ring-ring/50"
>
New meeting
</button>
</div>
</div>
{activeStep === 'summarize' && summarizerLoad.status === 'loading' && (
<ModelLoadingPanel
name="DistilBART CNN 6-6"
size={SUMMARIZER_MODEL_SIZE}
category="Summarization"
progress={summarizerLoad.progressValue}
cached={summarizerLoad.cached === true}
/>
)}
{activeStep === 'extract' && plannerLoad.status === 'loading' && (
<ModelLoadingPanel
name="Granite 4.0 350M"
size={PLANNER_MODEL_SIZE}
category="Action-item LM"
progress={plannerLoad.progressValue}
cached={plannerLoad.cached === true}
/>
)}
</section>
)}
{}
{meeting && (
<div className="flex flex-col gap-4">
{meeting.audio && (
<section className="flex flex-col gap-2 rounded-lg border border-border p-4">
<h2 className="text-sm font-medium">{meeting.sourceLabel}</h2>
<AudioScrubPlayer audio={meeting.audio} />
</section>
)}
<section className="flex flex-col gap-2 rounded-lg border border-border p-4">
<div className="flex items-center gap-2">
<h2 className="text-sm font-medium">Transcript</h2>
{meeting.transcript && !meeting.noSpeech && (
<span className="rounded-md bg-muted px-1.5 py-0.5 text-xs tabular-nums text-foreground/70">
{countWords(meeting.transcript)} words
</span>
)}
</div>
<p className="whitespace-pre-wrap text-sm">
{meeting.transcript || (activeStep === 'transcribe' ? 'Transcribing…' : '')}
</p>
</section>
{meeting.summary !== null && (
<section aria-label="Summary" className="flex flex-col gap-2 rounded-lg border border-border p-4">
<div className="flex items-center gap-2">
<h2 className="text-sm font-medium">Summary</h2>
<span className="rounded-md bg-muted px-1.5 py-0.5 text-xs tabular-nums text-foreground/70">
{countWords(meeting.summary)} words
</span>
</div>
<p className="whitespace-pre-wrap text-sm">
{meeting.summary}
</p>
</section>
)}
{meeting.actionItems !== null && (
<section className="flex flex-col gap-2 rounded-lg border border-border p-4">
<div className="flex items-center gap-2">
<h2 className="text-sm font-medium">Action items</h2>
<span
data-done={doneCount}
data-total={totalCount}
className="rounded-md bg-muted px-1.5 py-0.5 text-xs tabular-nums text-foreground/70"
>
{doneCount}/{totalCount} done
</span>
</div>
{meeting.actionItems.length === 0 ? (
<p className="text-sm text-muted-foreground">No action items found.</p>
) : (
<ul aria-label="Action items" className="flex flex-col gap-1.5">
{meeting.actionItems.map((item) => (
<li
key={item.id}
data-priority={item.priority}
className="flex items-start gap-2 rounded-md border border-border bg-card p-2"
>
{}
<label className="-m-1 flex size-11 shrink-0 cursor-pointer items-center justify-center">
<input
type="checkbox"
checked={item.completed}
onChange={() => toggleActionItem(item.id)}
aria-label={`Mark "${item.text}" ${item.completed ? 'incomplete' : 'complete'}`}
className="size-4 accent-primary focus-visible:outline-none focus-visible:ring-[3px] focus-visible:ring-ring/50"
/>
</label>
<span
className={cn(
'mt-1.5 flex-1 text-sm',
item.completed && 'text-muted-foreground line-through',
)}
>
{item.text}
</span>
<span
className={cn(
'rounded-md px-1.5 py-0.5 text-[11px] font-medium capitalize',
PRIORITY_BADGE[item.priority],
)}
>
{item.priority}
</span>
</li>
))}
</ul>
)}
</section>
)}
</div>
)}
</div>
);
}