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Hold your flag button and speak. Release when done.

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\n\n\n\n`;\n\nexport default async function (req: Request): Promise {\n const url = new URL(req.url);\n\n if (req.method === \"GET\" && url.pathname === \"/\") {\n return new Response(HTML, {\n headers: { \"Content-Type\": \"text/html; charset=utf-8\" },\n });\n }\n\n if (req.method === \"POST\" && url.pathname === \"/tts-test\") {\n const openaiKey = Deno.env.get(\"OPENAI_KEY\");\n if (!openaiKey) {\n return Response.json({ error: \"Missing OPENAI_KEY\" }, { status: 500 });\n }\n let formData: FormData;\n try {\n formData = await req.formData();\n } catch (e) {\n return Response.json({ error: \"Bad form data\" }, { status: 400 });\n }\n const text = (formData.get(\"text\") as string) || \"Hello, this is a test.\";\n const voiceGender = (formData.get(\"voiceGender\") as string) || \"f\";\n const ttsVoice = voiceGender === \"m\" ? \"onyx\" : \"nova\";\n try {\n const ttsRes = await fetch(\"https://api.openai.com/v1/audio/speech\", {\n method: \"POST\",\n headers: {\n \"Authorization\": \"Bearer \" + openaiKey,\n \"Content-Type\": \"application/json\",\n },\n body: JSON.stringify({ model: \"tts-1\", input: text, voice: ttsVoice }),\n });\n if (!ttsRes.ok) {\n const err = await ttsRes.json().catch(() => ({}));\n return Response.json({\n error: (err as any).error?.message || \"TTS error \" + ttsRes.status,\n });\n }\n const buf = await ttsRes.arrayBuffer();\n const bytes = new Uint8Array(buf);\n const chunkSize = 0x8000;\n let bin = \"\";\n for (let i = 0; i < bytes.length; i += chunkSize) {\n bin += String.fromCharCode(...bytes.subarray(i, i + chunkSize));\n }\n return Response.json({ ttsAudio: btoa(bin) });\n } catch (e) {\n return Response.json({ error: String(e) });\n }\n }\n\n if (req.method === \"POST\" && url.pathname === \"/translate\") {\n const openaiKey = Deno.env.get(\"OPENAI_KEY\");\n const anthropicKey = Deno.env.get(\"ANTHROPIC_KEY\");\n\n if (!openaiKey || !anthropicKey) {\n return Response.json(\n {\n error:\n \"Missing API keys. Add OPENAI_KEY and ANTHROPIC_KEY in Val Town Settings → Environment.\",\n },\n { status: 500 },\n );\n }\n\n let formData: FormData;\n try {\n formData = await req.formData();\n } catch (e) {\n return Response.json({ error: \"Could not parse form data.\" }, {\n status: 400,\n });\n }\n\n const audioFile = formData.get(\"audio\") as File | null;\n const whisperLang = (formData.get(\"whisperLang\") as string) || \"en\";\n const fromLang = (formData.get(\"fromLang\") as string) || \"English\";\n const toLang = (formData.get(\"toLang\") as string) || \"Japanese\";\n const ttsLang = (formData.get(\"ttsLang\") as string) || \"en-US\";\n const voiceGender = (formData.get(\"voiceGender\") as string) || \"f\";\n const ttsEnabled = (formData.get(\"ttsEnabled\") as string) !== \"0\";\n\n if (!audioFile) {\n return Response.json({ error: \"No audio file received.\" }, {\n status: 400,\n });\n }\n\n // ── Whisper ──\n const wf = new FormData();\n wf.append(\"file\", audioFile, audioFile.name || \"rec.m4a\");\n wf.append(\"model\", \"whisper-1\");\n wf.append(\"language\", whisperLang);\n\n const wRes = await fetch(\"https://api.openai.com/v1/audio/transcriptions\", {\n method: \"POST\",\n headers: { Authorization: \"Bearer \" + openaiKey },\n body: wf,\n });\n\n if (!wRes.ok) {\n const err = await wRes.json().catch(() => ({}));\n return Response.json({\n error: (err as any).error?.message || \"Whisper error \" + wRes.status,\n }, { status: 500 });\n }\n\n const { text: transcript } = await wRes.json() as { text: string };\n if (!transcript || transcript.trim().length < 1) {\n return Response.json({ empty: true });\n }\n\n // ── Claude ──\n const cRes = await fetch(\"https://api.anthropic.com/v1/messages\", {\n method: \"POST\",\n headers: {\n \"Content-Type\": \"application/json\",\n \"x-api-key\": anthropicKey,\n \"anthropic-version\": \"2023-06-01\",\n },\n body: JSON.stringify({\n model: \"claude-sonnet-4-20250514\",\n max_tokens: 1024,\n messages: [{\n role: \"user\",\n content: \"Translate the following \" + fromLang + \" text to \" +\n toLang +\n \". Output ONLY the translation with no explanation or extra text.\\n\\nText: \" +\n transcript.trim(),\n }],\n }),\n });\n\n if (!cRes.ok) {\n const err = await cRes.json().catch(() => ({}));\n return Response.json({\n error: (err as any).error?.message || \"Claude error \" + cRes.status,\n }, { status: 500 });\n }\n\n const cData = await cRes.json() as { content: { text: string }[] };\n const translation = cData.content?.[0]?.text?.trim() || \"\";\n\n // ── OpenAI TTS (skipped when muted) ──\n let ttsAudio = \"\";\n if (ttsEnabled) {\n const ttsVoice = voiceGender === \"m\" ? \"onyx\" : \"nova\";\n try {\n const ttsRes = await fetch(\"https://api.openai.com/v1/audio/speech\", {\n method: \"POST\",\n headers: {\n \"Authorization\": \"Bearer \" + openaiKey,\n \"Content-Type\": \"application/json\",\n },\n body: JSON.stringify({\n model: \"tts-1\",\n input: translation,\n voice: ttsVoice,\n }),\n });\n if (ttsRes.ok) {\n const buf = await ttsRes.arrayBuffer();\n const bytes = new Uint8Array(buf);\n const chunkSize = 0x8000;\n let bin = \"\";\n for (let i = 0; i < bytes.length; i += chunkSize) {\n bin += String.fromCharCode(...bytes.subarray(i, i + chunkSize));\n }\n ttsAudio = btoa(bin);\n }\n } catch (e) { /* non-fatal */ }\n }\n\n return Response.json({ transcript, translation, ttsAudio });\n }\n\n return new Response(\"Not found\", { status: 404 });\n}",[],[180],{"_106":190,"_97":101,"_161":191,"_163":-5,"_164":146,"_165":103,"_167":22,"_108":192,"_102":193,"_170":185,"_172":194,"_173":22,"_174":-5,"_175":195,"_100":196},"94823ac4-19fb-11f1-97c6-42dde27851f2","90227a20-19fb-11f1-8b4d-42dde27851f2",["D",1772870374409],2,"// Learn more: https://docs.val.town/vals/http/\nexport default async function (req: Request): Promise {\n return Response.json({ ok: true })\n}",[],[101],"files",[158,178,189],"counts",{"_201":33,"_202":169,"_203":33,"_204":205,"_208":209},"pulls","branches","forks","envVars",{"_206":193,"_207":33},"count","emptyCount","connections",{"_206":33,"_210":33},"unfilledCount","contents",[],"file",{"_106":190,"_97":101,"_161":191,"_163":-5,"_164":146,"_165":103,"_167":22,"_108":215,"_102":193,"_170":185,"_172":194,"_173":22,"_174":-5,"_100":216},["D",1772870374409],[101],"upstreamProject","upstreamBranch","emptyEnvVars","isNew","flags",[],"routes/_app.x.$handle.$name.branch.$branch.version.$version.code.$",{"_95":96,"_97":98,"_99":45,"_102":103,"_100":101,"_104":225,"_156":230,"_197":240,"_213":241,"_211":243,"_244":-5,"_245":-5,"_246":-5,"_247":-5,"_248":249,"_204":-5},{"_106":107,"_97":98,"_108":226,"_110":-5,"_111":22,"_112":113,"_114":-5,"_115":-5,"_14":116,"_117":-5,"_118":22,"_119":-5,"_120":-5,"_121":33,"_16":122,"_123":-5,"_124":-5,"_125":-5,"_126":127,"_128":127,"_129":130,"_131":130,"_132":130,"_133":127,"_134":127,"_23":227,"_138":228,"_143":229,"_155":22},["D",1772799626875],{"_95":96,"_136":137},{"_95":96,"_140":137,"_14":116,"_141":142},{"_102":145,"_97":45,"_106":146,"_147":107,"_148":-5,"_149":-5,"_150":-5,"_151":-5,"_152":-5,"_153":98,"_154":96},[231,234,237],{"_106":159,"_97":160,"_161":162,"_163":-5,"_164":146,"_165":166,"_167":22,"_108":168,"_102":169,"_170":171,"_172":-5,"_173":22,"_174":-5,"_175":232,"_100":233},[],[160],{"_106":179,"_97":180,"_161":181,"_163":-5,"_164":146,"_165":182,"_167":22,"_108":183,"_102":184,"_170":185,"_172":186,"_173":22,"_174":-5,"_175":235,"_100":236},[],[180],{"_106":190,"_97":101,"_161":191,"_163":-5,"_164":146,"_165":103,"_167":22,"_108":192,"_102":193,"_170":185,"_172":194,"_173":22,"_174":-5,"_175":238,"_100":239},[],[101],[231,234,237],{"_106":190,"_97":101,"_161":191,"_163":-5,"_164":146,"_165":103,"_167":22,"_108":215,"_102":193,"_170":185,"_172":194,"_173":22,"_174":-5,"_100":242},[101],[],"upstream","pull","ahead","behind","templates",[],"actionData","errors"]

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