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Text is processed per request and is not stored.\nexport default async function (req: Request) {\n if (req.method === \"GET\") return Response.json({ok:true,voice:\"ar-EG-SalmaNeural\",maxChars:1800});\n if (req.method !== \"POST\") return new Response(\"Use POST\",{status:405});\n const input = await req.json();\n if (typeof input.text !== \"string\" || !input.text.trim() || input.text.length > 1800) return new Response(\"Invalid text length\",{status:400});\n const text = input.text.trim();\n const digest = new Uint8Array(await crypto.subtle.digest(\"SHA-256\", new TextEncoder().encode(text)));\n const sha256 = Array.from(digest,b=>b.toString(16).padStart(2,\"0\")).join(\"\");\n const result = await new UniversalEdgeTTS(text,\"ar-EG-SalmaNeural\",{rate:\"-5%\",volume:\"+0%\",pitch:\"+0Hz\"}).synthesize();\n return new Response(result.audio,{headers:{\"Content-Type\":\"audio/mpeg\",\"Cache-Control\":\"no-store\",\"X-Voice\":\"ar-EG-SalmaNeural\",\"X-Input-Sha256\":sha256,\"X-Text-Length\":String(text.length)}});\n}\n","createdAt",["D",1789235683306],"branchVersion","branchId","8fc95127-be29-4013-82e5-018f9aae6a91","id","3a3bdbea-cd2e-4131-9554-2ed04871a7c0","arabic-tts-book",["D",1788975335445],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","Arabic Neural TTS for thesis 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{ blob } from \"https://esm.town/v/std/blob/main.ts\";\n\nexport default async function handler(req: Request) {\n if (req.method !== \"POST\") return new Response(\"POST only\", { status: 405 });\n const ct = req.headers.get(\"content-type\") || \"\";\n if (ct.includes(\"application/json\")) {\n const data = await req.json();\n const parts = data?.parts || {};\n const saved: any[] = [];\n for (const [k, v] of Object.entries(parts)) {\n if (!/^\\d{1,2}$/.test(k) || typeof v !== \"string\" || !v.trim()) continue;\n const part = k.padStart(2, \"0\");\n await blob.set(`thesis-part-${part}.txt`, v);\n saved.push({ part: Number(k), chars: v.length });\n }\n return Response.json({ ok: true, saved });\n }\n const url = new URL(req.url);\n const part = url.searchParams.get(\"part\");\n if (!part || !/^\\d{1,2}$/.test(part)) return new Response(\"Invalid part\", { status: 400 });\n const text = await req.text();\n if (!text.trim()) return new Response(\"Empty text\", { status: 400 });\n await blob.set(`thesis-part-${part.padStart(2, \"0\")}.txt`, text);\n return Response.json({ ok: true, part: Number(part), chars: text.length });\n}\n","label",[135],"68931769-b893-424d-b82e-8049dd82519f","sampleAudio.ts",2,["D",1788975394253],"import { UniversalEdgeTTS } from \"npm:edge-tts-universal\";\n\nexport default async function handler(_req: Request) {\n const text = \"جامعة الإسكندرية، كلية الآداب، قسم اللغة العربية وآدابها. الفردوس المفقود في ديوان أحد عشر كوكبًا لمحمود درويش، دراسة نقدية. رسالة لنيل درجة الماجستير في الآداب.\";\n const tts = new UniversalEdgeTTS(text, \"ar-EG-SalmaNeural\");\n const result = await tts.synthesize();\n return new Response(result.audio, {\n headers: {\n \"Content-Type\": \"audio/mpeg\",\n \"Content-Disposition\": \"inline; filename=arabic-sample.mp3\",\n \"Cache-Control\": \"public, max-age=3600\"\n }\n });\n}\n",[146],"f00d3a7b-344c-439a-a91d-b47794978822","sample.ts","dd6275a4-ac74-11f1-9dc0-1607ee4eb77e",["D",1788975335536],"script","import { UniversalEdgeTTS } from \"npm:edge-tts-universal\";\n\nconst text = \"السلام عليكم. هذا اختبار لقراءة الرسالة باللغة العربية بصوت واضح.\";\nconst tts = new UniversalEdgeTTS(text, \"ar-EG-SalmaNeural\");\nconst result = await tts.synthesize();\nconsole.log(\"type\", typeof result, result?.constructor?.name);\nconsole.log(\"keys\", Object.keys(result ?? {}));\nfor (const [k,v] of Object.entries(result ?? {})) {\n if (v instanceof ArrayBuffer) console.log(k, \"ArrayBuffer\", v.byteLength);\n else if (ArrayBuffer.isView(v)) console.log(k, v.constructor.name, v.byteLength);\n else console.log(k, typeof v, String(v).slice(0,120));\n}\n",[152],"fb860947-6b08-4634-8b6c-991b5ddf90c2","resolve.ts","37c4e120-ac80-11f1-b7a6-1607ee4eb77e",16,["D",1788980211650],"import { resolve4 } from \"node:dns/promises\";\nexport default async function () {\n const ips = await resolve4(\"mohamed-arabic-thesis-audio.val.run\");\n return { ips };\n}",[159],"3a1f8ab9-5cd7-402c-96c9-41e986af6077",["D",1789235683306],[28],"332cc79c-c43e-4fc7-af10-cfea0746d7a7","cacheTest.ts","14129f08-ac7e-11f1-a522-1607ee4eb77e",11,["D",1788979292720],"import { blob } from \"https://esm.town/v/std/blob/main.ts\";\nimport { UniversalEdgeTTS } from \"npm:edge-tts-universal\";\n\nexport default async function () {\n const txt = await (await blob.get(\"thesis-part-01.txt\")).text();\n const sample = txt.slice(0, 1200);\n const tts = new UniversalEdgeTTS(sample, \"ar-EG-SalmaNeural\", { rate: \"-15%\", volume: \"+0%\", pitch: \"+0Hz\" });\n const result = await tts.synthesize();\n await blob.set(\"audio-test-part01.mp3\", result.audio);\n const res = await blob.get(\"audio-test-part01.mp3\");\n return { ok: true, size: (await res.arrayBuffer()).byteLength };\n}\n",[169],"9756851f-5f32-49a4-a403-0c2d4988b73d","audio.ts","7184b508-ac75-11f1-8c30-1607ee4eb77e",19,["D",1788980366202],"import { blob } from \"https://esm.town/v/std/blob/main.ts\";\nimport { UniversalEdgeTTS } from \"npm:edge-tts-universal\";\n\nconst VOICE = \"ar-EG-SalmaNeural\";\nconst RATE = \"-15%\";\n\nfunction splitText(text: string, maxChars = 1800) {\n const paras = text.split(/\\n\\s*\\n/).map(s => s.trim()).filter(Boolean);\n const chunks: string[] = [];\n let current = \"\";\n for (const p of paras) {\n const joined = current ? current + \"\\n\\n\" + p : p;\n if (joined.length <= maxChars) { current = joined; continue; }\n if (current) chunks.push(current);\n if (p.length <= maxChars) { current = p; continue; }\n const sentences = p.split(/(?<=[.!؟؛:])\\s+/);\n current = \"\";\n for (const s of sentences) {\n const candidate = current ? current + \" \" + s : s;\n if (candidate.length <= maxChars) current = candidate;\n else { if (current) chunks.push(current); current = s; }\n }\n }\n if (current) chunks.push(current);\n return chunks;\n}\n\nasync function getPartText(part: string) {\n return await (await blob.get(`thesis-part-${part}.txt`)).text();\n}\n\nfunction landingPage() {\n const links = Array.from({length:11}, (_,i) => {\n const n = String(i+1).padStart(2, \"0\");\n return `

`;\n }).join(\"\\n\");\n return `الفردوس المفقود — قراءة عربية

الفردوس المفقود — قراءة عربية

الصوت: ${VOICE}. افتح أي جزء ثم اضغط تشغيل. سيكمل المقاطع تلقائيًا.

${links}`;\n}\n\nfunction partPage(part: string, count: number) {\n const sources = Array.from({length:count}, (_,i) => `/part-${part}/chunk-${String(i+1).padStart(2,\"0\")}.mp3`);\n return `الجزء ${part}

← جميع الأجزاء

الجزء ${part}

جاهز للتشغيل — ${count} مقاطع صوتية قصيرة.

تحميل المقاطع منفردة

${sources.map((s,i)=>`المقطع ${String(i+1).padStart(2,\"0\")} MP3`).join(\"\")}

`;\n}\n\nexport default async function handler(req: Request) {\n const url = new URL(req.url);\n const path = url.pathname;\n\n if (path === \"/dns\") {\n const q = \"https://cloudflare-dns.com/dns-query?name=mohamed-arabic-thesis-audio.val.run&type=A\";\n const r = await fetch(q,{headers:{Accept:\"application/dns-json\"}});\n return new Response(await r.text(),{headers:{\"Content-Type\":\"application/json\"}});\n }\n\n if (path === \"/\") return new Response(landingPage(), {headers:{\"Content-Type\":\"text/html; charset=utf-8\",\"Cache-Control\":\"no-store\"}});\n\n const partPageMatch = path.match(/^\\/part-(\\d{2})\\/?$/);\n if (partPageMatch) {\n const part = partPageMatch[1];\n const n = Number(part); if (n < 1 || n > 11) return new Response(\"Not found\",{status:404});\n const chunks = splitText(await getPartText(part));\n return new Response(partPage(part,chunks.length), {headers:{\"Content-Type\":\"text/html; charset=utf-8\",\"Cache-Control\":\"no-store\"}});\n }\n\n const chunkMatch = path.match(/^\\/part-(\\d{2})\\/chunk-(\\d{2})\\.mp3$/);\n if (chunkMatch) {\n const part = chunkMatch[1]; const chunkNo = Number(chunkMatch[2]);\n const n = Number(part); if (n < 1 || n > 11) return new Response(\"Not found\",{status:404});\n const chunks = splitText(await getPartText(part));\n if (chunkNo < 1 || chunkNo > chunks.length) return new Response(\"Not found\",{status:404});\n if (req.method === \"HEAD\") return new Response(null,{headers:{\"Content-Type\":\"audio/mpeg\",\"X-Voice\":VOICE,\"X-Part\":part,\"X-Chunk\":String(chunkNo)}});\n const tts = new UniversalEdgeTTS(chunks[chunkNo-1], VOICE, {rate:RATE, volume:\"+0%\", pitch:\"+0Hz\"});\n const result = await tts.synthesize();\n return new Response(result.audio,{headers:{\"Content-Type\":\"audio/mpeg\",\"Content-Disposition\":`inline; filename=thesis-part-${part}-chunk-${String(chunkNo).padStart(2,\"0\")}.mp3`,\"Cache-Control\":\"public, max-age=3600\",\"X-Voice\":VOICE,\"X-Part\":part,\"X-Chunk\":String(chunkNo)}});\n }\n\n if (path === \"/prepare-part\") {\n const part = (url.searchParams.get(\"part\") || \"01\").padStart(2,\"0\");\n const chunks = splitText(await getPartText(part));\n const audios = await Promise.all(chunks.map(async (chunk) => {\n const tts = new UniversalEdgeTTS(chunk, VOICE, {rate:RATE, volume:\"+0%\", pitch:\"+0Hz\", format:\"audio-16khz-32kbitrate-mono-mp3\"});\n const result = await tts.synthesize();\n return await result.audio.arrayBuffer();\n }));\n const combined = new Blob(audios,{type:\"audio/mpeg\"});\n const key = `ready-part-${part}.mp3`;\n await blob.set(key, combined);\n return Response.json({ok:true,part,chunks:chunks.length,size:combined.size,format:\"32kbps-mp3\",voice:VOICE});\n }\n\n if (path === \"/prepare-one\") {\n const part = (url.searchParams.get(\"part\") || \"01\").padStart(2,\"0\");\n const chunkNo = Number(url.searchParams.get(\"chunk\") || \"1\");\n const reset = url.searchParams.get(\"reset\") === \"1\";\n const chunks = splitText(await getPartText(part));\n if (chunkNo < 1 || chunkNo > chunks.length) return new Response(\"bad chunk\",{status:400});\n const tts = new UniversalEdgeTTS(chunks[chunkNo-1], VOICE, {rate:\"-5%\", volume:\"+0%\", pitch:\"+0Hz\", format:\"audio-16khz-32kbitrate-mono-mp3\"});\n const result = await tts.synthesize();\n const key = `ready-part-${part}.mp3`;\n let pieces: BodyInit[] = [];\n if (!reset) {\n try { pieces.push(await (await blob.get(key)).arrayBuffer()); } catch {}\n }\n pieces.push(result.audio);\n const combined = new Blob(pieces,{type:\"audio/mpeg\"});\n await blob.set(key, combined);\n const saved = await blob.get(key);\n return Response.json({ok:true,part,chunk:chunkNo,totalChunks:chunks.length,size:(await saved.arrayBuffer()).byteLength,format:\"32kbps-mp3\"});\n }\n\n if (path.match(/^\\/ready\\/part-(\\d{2})\\.mp3$/)) {\n const part = path.match(/^\\/ready\\/part-(\\d{2})\\.mp3$/)![1];\n try {\n const saved = await blob.get(`ready-part-${part}.mp3`);\n return new Response(saved.body,{headers:{\"Content-Type\":\"audio/mpeg\",\"Content-Disposition\":`attachment; filename=thesis-part-${part}-arabic.mp3`,\"Cache-Control\":\"public, max-age=86400\"}});\n } catch { return new Response(\"not ready\",{status:404}); }\n }\n\n if (path === \"/cache-test\") {\n const text = \"جامعة الإسكندرية، كلية الآداب، قسم اللغة العربية وآدابها. الفردوس المفقود في ديوان أحد عشر كوكبًا لمحمود درويش، دراسة نقدية.\";\n const tts = new UniversalEdgeTTS(text, VOICE, {rate:RATE, volume:\"+0%\", pitch:\"+0Hz\"});\n const result = await tts.synthesize();\n await blob.set(\"audio-test-sample.mp3\", result.audio);\n const saved = await blob.get(\"audio-test-sample.mp3\");\n return Response.json({ok:true, size:(await saved.arrayBuffer()).byteLength});\n }\n\n if (path === \"/b64-sample\") {\n const saved = await blob.get(\"audio-test-sample.mp3\");\n const bytes = new Uint8Array(await saved.arrayBuffer());\n let binary = \"\";\n for (let i=0;i

Diff · v20