import valTownBadge from "https://esm.town/v/stevekrouse/valTownBadge02"; import { cors } from "npm:hono/cors"; import { Hono } from "npm:hono@3"; import { html } from "npm:hono@3/html"; import { OpenAI } from "npm:openai"; const app = new Hono(); const openai = new OpenAI(Deno.env.get("OPENAI_API_KEY_VOICE")); class TranscriptionService { async transcribeAudio(audioFile) { try { const transcription = await openai.audio.transcriptions.create({ file: audioFile, model: "whisper-1", response_format: "text", }); return transcription; } catch (error) { console.error("OpenAI API error:", error); throw error; } } } export const transcriptionService = new TranscriptionService(); app.use( "*", cors({ origin: "*", allowMethods: ["GET", "POST"], allowHeaders: ["Content-Type"], }), ); app.get("/", async (c) => { const languages = [ "Afrikaans", "Arabic", "Armenian", "Azerbaijani", "Belarusian", "Bosnian", "Bulgarian", "Catalan", "Chinese", "Croatian", "Czech", "Danish", "Dutch", "English", "Estonian", "Finnish", "French", "Galician", "German", "Greek", "Hebrew", "Hindi", "Hungarian", "Icelandic", "Indonesian", "Italian", "Japanese", "Kannada", "Kazakh", "Korean", "Latvian", "Lithuanian", "Macedonian", "Malay", "Marathi", "Maori", "Nepali", "Norwegian", "Persian", "Polish", "Portuguese", "Romanian", "Russian", "Serbian", "Slovak", "Slovenian", "Spanish", "Swahili", "Swedish", "Tagalog", "Tamil", "Thai", "Turkish", "Ukrainian", "Urdu", "Vietnamese", "Welsh", ]; const voices = [ "alloy", "echo", "fable", "onyx", "nova", "shimmer", ]; const resHtml = ` Translator

Translator

Languages

Voice

${valTownBadge(import.meta.url)} `; return c.html(resHtml); }); app.post("/transcribe", async (c) => { const formData = await c.req.parseBody(); const audioFile = formData.audio; if (!audioFile) { console.error("Audio file not found in the form data"); return c.text("Audio file not found", 400); } try { const transcription = await transcriptionService.transcribeAudio(audioFile); console.log("transcription:", transcription); return c.text(transcription); } catch (error) { console.error("Transcription error:", error); return c.text("Error occurred during transcription", 500); } }); app.post("/translate", async (c) => { const { text, language } = await c.req.json(); if (!text || !language) { return c.text(`Text and language are required: ${text} -- ${language}`, 400); } try { const response = await openai.chat.completions.create({ model: "gpt-3.5-turbo", messages: [ { role: "system", content: `You are a translation assistant. Translate the given text to ${language}.`, }, { role: "user", content: text, }, ], max_tokens: 200, }); const translation = response.choices[0].message.content.trim(); return c.text(translation); } catch (error) { console.error("OpenAI API error:", error); return c.text("Error occurred during translation", 500); } }); app.post("/generate-speech", async (c) => { const { text, voice } = await c.req.json(); if (!text || !voice) { return c.text("Text and voice are required:" + text + ", " + voice, 400); } console.log("generating speech:", text, voice); try { const mp3 = await openai.audio.speech.create({ model: "tts-1", voice: voice, input: text, }); const arrayBuffer = await mp3.arrayBuffer(); const uint8Array = new Uint8Array(arrayBuffer); return c.body(uint8Array, 200, { "Content-Type": "audio/mpeg", }); } catch (error) { console.error("OpenAI API error:", error); return c.text("Error occurred during speech generation", 500); } }); export default app.fetch;

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