Translator

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\n\n \n

\n ⊹₊˚‧︵‿₊୨ᰔ୧₊‿︵‧˚₊⊹\n \n

\n\n \n

\n\n \n \n\n \n \n\n \n \n\n \n \n\n \n\n \n \n\n \n \n\n

\n\n \n

\n ꧁·𓆩·✧·𓆪·꧂\n

⊹₊˚‧︵‿₊୨ᰔ୧₊‿︵‧˚₊⊹

Ready to translate

Hold your button below and speak. Release when done.

⊹₊˚‧︵‿₊୨ᰔ୧₊‿︵‧˚₊⊹

\n ꧁·𓆩·✧·𓆪·꧂\n

\n\n \n

\n Ready\n

\n\n \n

\n\n \n\n \n\n

\n\n

\n\n\n\n`;\n\n// ─────────────────────────────────────────────────────────────────────────────\n// REQUEST HANDLER — backend unchanged\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(), 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 anthropicKey = Deno.env.get(\"ANTHROPIC_KEY\");\n if (!openaiKey || !anthropicKey) {\n return Response.json({\n error:\n \"Missing API keys. Add OPENAI_KEY and ANTHROPIC_KEY in Val Town Settings → Environment.\",\n }, { status: 500 });\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 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 if (!audioFile) {\n return Response.json({ error: \"No audio file received.\" }, {\n status: 400,\n });\n }\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 const wRes = await fetch(\"https://api.openai.com/v1/audio/transcriptions\", {\n method: \"POST\",\n headers: { Authorization: \"Bearer \" + openaiKey },\n body: wf,\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 const { text: transcript } = await wRes.json() as { text: string };\n if (!transcript || transcript.trim().length < 1) {\n return Response.json({ empty: true });\n }\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 \". 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