\n \n \n \n",[19,77],"6b587892-3743-11f1-8788-42b51c65c3df","favicon.svg","019d8733-cf53-7770-8476-14af68751069",["D",1776089812713],"\n",[19,84],"6b587662-3743-11f1-8788-42b51c65c3df","components","019d8733-cf53-7770-8476-10d066be0297",["D",1776089812713],"directory",[19,90],"6b58876a-3743-11f1-8788-42b51c65c3df",["D",1776089812713],[19],{"_39":95,"_13":19,"_42":45,"_44":-5,"_46":47,"_48":49,"_50":51,"_52":129,"_17":54,"_55":93,"_56":-5,"_58":59,"_60":-5,"_109":130,"_18":131},{"_39":122,"_13":123,"_42":124,"_44":-5,"_46":47,"_48":49,"_50":51,"_52":125,"_17":54,"_55":24,"_56":126,"_58":59,"_60":-5,"_109":127,"_18":128},{"_39":112,"_13":113,"_42":114,"_44":-5,"_46":47,"_48":115,"_50":51,"_52":116,"_17":117,"_55":118,"_56":119,"_58":59,"_60":-5,"_109":120,"_18":121},{"_39":102,"_13":103,"_42":104,"_44":-5,"_46":47,"_48":105,"_50":51,"_52":106,"_17":107,"_55":67,"_56":108,"_58":59,"_60":-5,"_109":110,"_18":111},"74b89d44-3744-11f1-b6ca-42b51c65c3df","moderate.ts","53b77e3a-3744-11f1-a792-42b51c65c3df",12,["D",1776090258044],2,"import { OpenAI } from \"https://esm.town/v/std/openai\";\nimport { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\n\nconst openai = new OpenAI();\n\ninterface ModerationResult {\n score: number;\n reason: string;\n}\n\nexport async function moderateMessage(messageId: number, text: string): Promise {\n try {\n const response = await openai.chat.completions.create({\n model: \"gpt-4o-mini\",\n temperature: 0,\n response_format: { type: \"json_object\" },\n messages: [\n {\n role: \"system\",\n content: `You are a content safety moderator. Score the following chat message for safety on a scale of 0 to 100.\n\n100 = completely safe, appropriate for all audiences including children\n75 = mostly safe, minor concerns\n50 = borderline, some questionable content\n25 = unsafe, contains rude or inappropriate content\n0 = vile, contains slurs, hate speech, explicit content, or threats\n\nConsider: Is it child-safe? Are there bad words, slurs, or profanity? Is it rude, mean, or bullying? Does it contain threats or harassment? Is it sexually explicit?\n\nRespond with JSON: { \"score\": , \"reason\": \"\" }`,\n },\n {\n role: \"user\",\n content: text,\n },\n ],\n });\n\n const content = response.choices[0]?.message?.content;\n if (!content) throw new Error(\"No response from OpenAI\");\n\n const result: ModerationResult = JSON.parse(content);\n const score = Math.max(0, Math.min(100, Math.round(result.score)));\n\n await sqlite.execute({\n sql: \"UPDATE messages SET safety_score = ?, safety_reason = ? WHERE id = ?\",\n args: [score, result.reason, messageId],\n });\n } catch (e) {\n console.error(`Moderation failed for message ${messageId}:`, e);\n // On failure, default to hiding the message (score 0)\n await sqlite.execute({\n sql: \"UPDATE messages SET safety_score = 0, safety_reason = ? WHERE id = ?\",\n args: [`Moderation error: ${e.message}`, messageId],\n });\n }\n}\n","children",[],[103],"591d6b1e-3744-11f1-87ae-42b51c65c3df","index.ts","019d8733-cf53-7770-8476-2cbd9e93dc09",8,["D",1776090211744],3,"http","import { serveFile } from \"https://esm.town/v/std/utils/index.ts\";\nimport { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\nimport { Hono } from \"npm:hono\";\nimport { moderateMessage } from \"./moderate.ts\";\n\nconst app = new Hono();\n\n// Ensure table exists with safety columns\nawait sqlite.execute(`CREATE TABLE IF NOT EXISTS messages (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n text TEXT NOT NULL,\n created_at TEXT NOT NULL DEFAULT (datetime('now')),\n safety_score INTEGER DEFAULT NULL,\n safety_reason TEXT DEFAULT NULL\n)`);\n\nconst SAFETY_THRESHOLD = 50;\n\n// Get messages — only show ones that passed moderation\napp.get(\"/api/messages\", async (c) => {\n const result = await sqlite.execute({\n sql: `SELECT id, text, created_at, safety_score, safety_reason\n FROM messages\n WHERE safety_score >= ?\n ORDER BY id DESC LIMIT 100`,\n args: [SAFETY_THRESHOLD],\n });\n return c.json(result.rows);\n});\n\n// Post a new message — insert first, then moderate\napp.post(\"/api/messages\", async (c) => {\n const { text } = await c.req.json();\n if (!text || typeof text !== \"string\" || text.trim().length === 0) {\n return c.json({ error: \"Message text is required\" }, 400);\n }\n const trimmed = text.trim();\n\n // Insert without a score (won't appear in GET until scored)\n const result = await sqlite.execute({\n sql: \"INSERT INTO messages (text) VALUES (?)\",\n args: [trimmed],\n });\n const id = Number(result.lastInsertRowid);\n\n // Score the message with AI moderation\n await moderateMessage(id, trimmed);\n\n return c.json({ id }, 201);\n});\n\n// Serve index.html at the root /\napp.get(\"/\", () => serveFile(\"/frontend/index.html\"));\n\n// Serve all /frontend files\napp.get(\"/frontend/**/*\", (c) => serveFile(c.req.path));\n\n// Unwrap and rethrow Hono errors as the original error\napp.onError((err) => Promise.reject(err));\n\n// HTTP vals expect an exported \"fetch handler\"\nexport default app.fetch;\n",[],[113],"6b588eb8-3743-11f1-8788-42b51c65c3df","README.md","019d8733-cf53-7770-8476-2a8507cf3cd5",["D",1776089812713],"# React Hono Starter\n\nThis app is a starter template for client-side React and server-side Hono.\n\n## Getting started\n\nGet a copy of this starter template by clicking the **Remix** button in the\ntop-right.\n\n## How it works\n\n- The **entrypoint** is [`index.ts`](index.ts). That's the backend HTTP server,\n which also serves the all the frontend assets.\n\n- The **client-side entrypoint** is\n [`/frontend/index.html`](/frontend/index.html)\n - which in turn imports [`/frontend/index.tsx`](/frontend/index.tsx)\n - which in turn imports the React app from\n [`/frontend/components/App.tsx`](/frontend/components/App.tsx).\n\nSo if you wanted to get a sense of how this app comes together, we suggest\nreading the files in this order:\n\n[`index.ts`](index.ts) -> [`/frontend/index.html`](/frontend/index.html) ->\n[`/frontend/index.tsx`](/frontend/index.tsx) ->\n[`/frontend/components/App.tsx`](/frontend/components/App.tsx)\n\n## Further resources\n\n- [React Hono Example](https://www.val.town/x/stevekrouse/reactHonoExample) is a\n bigger example project, with a SQLite database table, queries, client-side\n CSS, a favicon, and shared code that runs on both client and server.",[],[123],["D",1776089812713],[132,133,134,135,136,137],[19],{"_39":89,"_13":90,"_42":91,"_44":45,"_46":47,"_48":49,"_50":51,"_52":153,"_17":54,"_55":93,"_56":-5,"_58":59,"_60":-5,"_109":154,"_18":155},{"_39":83,"_13":84,"_42":85,"_44":45,"_46":47,"_48":49,"_50":51,"_52":150,"_17":54,"_55":24,"_56":87,"_58":59,"_60":-5,"_109":151,"_18":152},{"_39":76,"_13":77,"_42":78,"_44":45,"_46":47,"_48":79,"_50":51,"_52":147,"_17":49,"_55":24,"_56":81,"_58":59,"_60":-5,"_109":148,"_18":149},{"_39":70,"_13":71,"_42":72,"_44":45,"_46":47,"_48":49,"_50":51,"_52":144,"_17":54,"_55":67,"_56":74,"_58":59,"_60":-5,"_109":145,"_18":146},{"_39":62,"_13":63,"_42":64,"_44":45,"_46":47,"_48":65,"_50":51,"_52":141,"_17":54,"_55":67,"_56":68,"_58":59,"_60":-5,"_109":142,"_18":143},{"_39":40,"_13":41,"_42":43,"_44":45,"_46":47,"_48":49,"_50":51,"_52":138,"_17":54,"_55":24,"_56":57,"_58":59,"_60":-5,"_109":139,"_18":140},["D",1776089812713],[],[19,41],["D",1776090468642],[],[19,63],["D",1776089812713],[],[19,71],["D",1776090073519],[],[19,77],["D",1776089812713],[],[19,84],["D",1776089812713],[156,157],[19,90],{"_39":166,"_13":167,"_42":168,"_44":91,"_46":47,"_48":169,"_50":51,"_52":170,"_17":171,"_55":67,"_56":172,"_58":59,"_60":-5,"_109":173,"_18":174},{"_39":158,"_13":159,"_42":160,"_44":91,"_46":47,"_48":161,"_50":51,"_52":162,"_17":54,"_55":67,"_56":163,"_58":59,"_60":-5,"_109":164,"_18":165},"cf153cd4-3744-11f1-94bd-42b51c65c3df","Webcam.tsx","cf153d88-3744-11f1-94bd-42b51c65c3df",13,["D",1776090409668],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport { useEffect, useRef, useState } from \"https://esm.sh/react@18.2.0\";\n\nconst FILTERS: Record = {\n \"None\": \"none\",\n \"Grayscale\": \"grayscale(100%)\",\n \"Sepia\": \"sepia(100%)\",\n \"Invert\": \"invert(100%)\",\n \"Blur\": \"blur(4px)\",\n \"Saturate\": \"saturate(300%)\",\n \"Hue Rotate\": \"hue-rotate(180deg)\",\n \"Contrast\": \"contrast(200%)\",\n \"Brightness\": \"brightness(1.5)\",\n \"Vintage\": \"sepia(60%) contrast(120%) brightness(90%)\",\n \"Psychedelic\": \"hue-rotate(90deg) saturate(400%) contrast(150%)\",\n \"X-Ray\": \"invert(100%) grayscale(100%) contrast(200%)\",\n};\n\nexport function Webcam() {\n const videoRef = useRef(null);\n const [active, setActive] = useState(false);\n const [filter, setFilter] = useState(\"None\");\n const [error, setError] = useState(\"\");\n const streamRef = useRef(null);\n\n const startCamera = async () => {\n try {\n setError(\"\");\n const stream = await navigator.mediaDevices.getUserMedia({\n video: { facingMode: \"user\", width: { ideal: 640 }, height: { ideal: 480 } },\n audio: false,\n });\n streamRef.current = stream;\n if (videoRef.current) {\n videoRef.current.srcObject = stream;\n }\n setActive(true);\n } catch (e: any) {\n setError(\"Camera access denied. Please allow camera permissions.\");\n console.error(\"Camera error:\", e);\n }\n };\n\n const stopCamera = () => {\n streamRef.current?.getTracks().forEach((t) => t.stop());\n streamRef.current = null;\n if (videoRef.current) videoRef.current.srcObject = null;\n setActive(false);\n };\n\n // Cleanup on unmount\n useEffect(() => () => { streamRef.current?.getTracks().forEach((t) => t.stop()); }, []);\n\n return (\n

\n {/* Video display */}\n

\n \n {!active && (\n

📷

\n \n

\n )}\n

\n\n {error &&

{error}

}\n\n {/* Filter buttons */}\n {active && (\n

\n {Object.keys(FILTERS).map((name) => (\n setFilter(name)}\n style={{\n padding: \"4px 10px\",\n fontSize: \"0.8rem\",\n borderRadius: 16,\n border: filter === name ? \"2px solid #4a90e2\" : \"1px solid #d1d5db\",\n background: filter === name ? \"#e8f0fe\" : \"#fff\",\n color: filter === name ? \"#4a90e2\" : \"#555\",\n cursor: \"pointer\",\n fontFamily: \"inherit\",\n }}\n >\n {name}\n \n ))}\n

\n \n

\n )}\n

\n );\n}\n\nconst btnStyle: React.CSSProperties = {\n padding: \"8px 20px\",\n fontSize: \"0.95rem\",\n background: \"#4a90e2\",\n color: \"white\",\n border: \"none\",\n borderRadius: 8,\n cursor: \"pointer\",\n fontFamily: \"inherit\",\n};\n",[],[19,90,159],"15792e1a-3745-11f1-a395-42b51c65c3df","App.tsx","019d8733-cf53-7770-8476-0d98f980d678",19,["D",1776090527757],9,"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport { useEffect, useRef, useState } from \"https://esm.sh/react@18.2.0\";\nimport QRCode from \"https://esm.sh/qrcode@1.5.4\";\nimport { Webcam } from \"./Webcam.tsx\";\nimport { playRandomSound } from \"../sounds.ts\";\n\ninterface Message {\n id: number;\n text: string;\n created_at: string;\n safety_score: number | null;\n safety_reason: string | null;\n}\n\nexport function App() {\n const [messages, setMessages] = useState([]);\n const [input, setInput] = useState(\"\");\n const [seenIds, setSeenIds] = useState>(new Set());\n const [sending, setSending] = useState(false);\n const canvasRef = useRef(null);\n const inputRef = useRef(null);\n\n // Draw QR code\n useEffect(() => {\n if (canvasRef.current) {\n QRCode.toCanvas(canvasRef.current, window.location.href, {\n width: 160,\n margin: 2,\n color: { dark: \"#000000\", light: \"#ffffff\" },\n });\n }\n }, []);\n\n // Track known message IDs so we can detect new arrivals (ref to avoid stale closures)\n const knownIdsRef = useRef>(new Set());\n const initialLoadRef = useRef(true);\n\n // Poll for messages every 500ms\n useEffect(() => {\n const fetchMessages = async () => {\n try {\n const res = await fetch(\"/api/messages\");\n const data: Message[] = await res.json();\n\n // Check for new messages (skip sound on first load)\n if (!initialLoadRef.current) {\n const hasNew = data.some((m) => !knownIdsRef.current.has(m.id));\n if (hasNew) playRandomSound();\n }\n initialLoadRef.current = false;\n\n // Update known IDs\n knownIdsRef.current = new Set(data.map((m) => m.id));\n setMessages(data);\n } catch (e) {\n console.error(\"Failed to fetch messages:\", e);\n }\n };\n fetchMessages();\n const interval = setInterval(fetchMessages, 500);\n return () => clearInterval(interval);\n }, []);\n\n // Track which message IDs we've seen so new ones can fade in\n useEffect(() => {\n const newSeen = new Set(seenIds);\n // After a tick, mark current messages as \"seen\"\n const timeout = setTimeout(() => {\n messages.forEach((m) => newSeen.add(m.id));\n setSeenIds(newSeen);\n }, 600);\n return () => clearTimeout(timeout);\n }, [messages]);\n\n const sendMessage = async () => {\n const text = input.trim();\n if (!text || sending) return;\n setSending(true);\n setInput(\"\");\n try {\n await fetch(\"/api/messages\", {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify({ text }),\n });\n } catch (e) {\n console.error(\"Failed to send:\", e);\n } finally {\n setSending(false);\n inputRef.current?.focus();\n }\n };\n\n const handleKeyDown = (e: React.KeyboardEvent) => {\n if (e.key === \"Enter\" && !e.shiftKey) {\n e.preventDefault();\n sendMessage();\n }\n };\n\n const timeAgo = (dateStr: string) => {\n const now = Date.now();\n const then = new Date(dateStr + \"Z\").getTime();\n const seconds = Math.floor((now - then) / 1000);\n if (seconds < 5) return \"just now\";\n if (seconds < 60) return `${seconds}s ago`;\n const minutes = Math.floor(seconds / 60);\n if (minutes < 60) return `${minutes}m ago`;\n const hours = Math.floor(minutes / 60);\n return `${hours}h ago`;\n };\n\n return (\n

\n {/* Header with QR */}\n

💬 Chat

Scan to join from your phone

\n\n {/* Webcam */}\n \n\n {/* Messages */}\n

\n {messages.length === 0 && (\n

No messages yet. Say something!

\n )}\n {messages.map((m) => {\n const isNew = !seenIds.has(m.id);\n const tooltip = m.safety_score != null\n ? `Safety: ${m.safety_score}/100\\n${m.safety_reason || \"\"}`\n : \"Pending moderation…\";\n return (\n \n {m.text}\n {timeAgo(m.created_at)}\n

\n );\n })}\n

\n\n {/* Input */}\n

\n setInput((e.target as HTMLInputElement).value)}\n onKeyDown={handleKeyDown}\n placeholder=\"Type a message...\"\n style={styles.input}\n maxLength={500}\n autoFocus\n />\n \n

\n\n {/* Keyframe animation injected via style tag */}\n \n \n );\n}\n\nconst styles: Record = {\n container: {\n display: \"flex\",\n flexDirection: \"column\",\n height: \"100vh\",\n maxWidth: 1200,\n width: \"100%\",\n margin: \"0 auto\",\n fontFamily: \"system-ui, -apple-system, sans-serif\",\n padding: \"0 24px\",\n },\n header: {\n display: \"flex\",\n alignItems: \"center\",\n justifyContent: \"space-between\",\n padding: \"16px 0\",\n borderBottom: \"1px solid #e5e7eb\",\n },\n headerLeft: {\n flex: 1,\n },\n title: {\n margin: 0,\n fontSize: \"1.5rem\",\n },\n subtitle: {\n margin: \"4px 0 0\",\n color: \"#888\",\n fontSize: \"0.85rem\",\n },\n qr: {\n borderRadius: 8,\n flexShrink: 0,\n },\n messages: {\n flex: 1,\n minHeight: 200,\n overflowY: \"auto\",\n padding: \"16px 0\",\n display: \"flex\",\n flexDirection: \"column\",\n gap: 8,\n },\n empty: {\n textAlign: \"center\",\n color: \"#aaa\",\n marginTop: 40,\n },\n message: {\n background: \"#f3f4f6\",\n borderRadius: 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