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OpenAI Whisper Transcription Example

\n \n

Transcription:

\n ${c.req.query('transcription') || ''}\n

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ts",[],"isOwner","routes/_app.v.$handle.$name.forks",{"_326":327,"_386":124,"_387":138,"_388":32,"_95":389},"forksList",[328],{"_101":329,"_330":331},"d6424de4-0e7e-11ef-b000-cab58f78796a","initialData",{"_99":332,"_96":97,"_101":329,"_103":104,"_105":-5,"_106":333,"_108":334,"_109":110,"_111":335,"_113":26,"_114":335,"_115":336,"_117":337,"_119":338,"_121":26,"_122":291,"_125":32,"_126":32,"_127":32,"_123":307,"_128":32,"_129":-5,"_20":339,"_135":340,"_136":-7,"_139":342,"_343":-5,"_137":344,"_141":345},"translator","public","Press to talk, and get a translation!\n\nThe app is set up so you can easily have a conversation between two people. The app will translate between the two selected languages, in each voice, as the speakers talk.\n\nAdd your OpenAI API Key, and make sure to open in a separate window for Mic to work.","654219ae-0ecd-11ef-98f8-cab58f78796a","import { Hono } from \"npm:hono@3\";\nimport { html } from \"npm:hono@3/html\";\nimport { cors } from 'npm:hono/cors';\nimport { OpenAI } from \"npm:openai\";\n\nconst app = new Hono();\nconst openai = new OpenAI(Deno.env.get(\"OPENAI_API_KEY_VOICE\"));\n\nclass TranscriptionService {\n async transcribeAudio(audioFile) {\n try {\n const transcription = await openai.audio.transcriptions.create({\n file: audioFile,\n model: \"whisper-1\",\n response_format: \"text\",\n });\n\n return transcription;\n } catch (error) {\n console.error('OpenAI API error:', error);\n throw error;\n }\n }\n}\n\nexport const transcriptionService = new TranscriptionService();\n\napp.use('*', cors({\n origin: '*',\n allowMethods: ['GET', 'POST'],\n allowHeaders: ['Content-Type'],\n}));\n\n\n\n\napp.get(\"/\", async (c) => {\n const languages = [\n \"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\"\n ];\n \n const voices = [\n \"alloy\",\n \"echo\",\n \"fable\",\n \"onyx\",\n \"nova\",\n \"shimmer\"\n ];\n\n\n const resHtml = html`\n \n \n \n Translator\n \n \n \n \n \n \n \n

Translator

\n \n

Languages

\n \n

Voice

\n \n

\n\n

\n \n

Voice

\n \n

\n \n \n

\n \n

\n \n \n \n \n `;\n return c.html(resHtml);\n});\n\n\n\napp.post('/transcribe', async (c) => {\n const formData = await c.req.parseBody();\n const audioFile = formData.audio;\n\n if (!audioFile) {\n console.error('Audio file not found in the form data');\n return c.text('Audio file not found', 400);\n }\n\n try {\n const transcription = await transcriptionService.transcribeAudio(audioFile);\n console.log('transcription:', transcription)\n return c.text(transcription);\n } catch (error) {\n console.error('Transcription error:', error);\n return c.text('Error occurred during transcription', 500);\n }\n});\n\napp.post('/translate', async (c) => {\n const { text, language } = await c.req.json();\n\n if (!text || !language) {\n return c.text(`Text and language are required: ${text} -- ${language}`, 400);\n }\n\n try {\n const response = await openai.chat.completions.create({\n model: \"gpt-3.5-turbo\",\n messages: [\n {\n role: \"system\",\n content: `You are a translation assistant. Translate the given text to ${language}.`\n },\n {\n role: \"user\",\n content: text\n }\n ],\n max_tokens: 200,\n });\n\n const translation = response.choices[0].message.content.trim();\n return c.text(translation);\n } catch (error) {\n console.error('OpenAI API error:', error);\n return c.text('Error occurred during translation', 500);\n }\n});\n\napp.post('/generate-speech', async (c) => {\n const { text, voice } = await c.req.json();\n\n if (!text || !voice) {\n return c.text('Text and voice are required:' + text + ', ' + voice, 400);\n }\n\n console.log('generating speech:', text, voice)\n\n try {\n const mp3 = await openai.audio.speech.create({\n model: \"tts-1\",\n voice: voice,\n input: text,\n });\n\n const arrayBuffer = await mp3.arrayBuffer();\n const uint8Array = new Uint8Array(arrayBuffer);\n return c.body(uint8Array, 200, {\n 'Content-Type': 'audio/mpeg',\n });\n } catch (error) {\n console.error('OpenAI API error:', error);\n return c.text('Error occurred during speech generation', 500);\n }\n});\n\n\nexport default app.fetch;",["D",1715346080168],151,{"_131":132,"_133":134},{"_114":112,"_131":132,"_99":100,"_119":120,"_341":-5},"prDisabledHint","Press to talk, and get a translation! The app is set up so you can easily have a conversation between two people. The app will translate between the two selected languages, in each voice, as the speakers talk. Add your OpenAI API Key, and make sure to open in a separate window for Mic to work.","latestEvaluation","yawnxyz/translator",[346,350,354,358,362,366,370,374,378,382],{"_117":347,"_119":338,"_348":349},["D",1715346080168],"n","1",{"_117":351,"_119":352,"_348":353},["D",1715345466821],150,"2",{"_117":355,"_119":356,"_348":357},["D",1715345415390],149,"3",{"_117":359,"_119":360,"_348":361},["D",1715345195384],148,"4",{"_117":363,"_119":364,"_348":365},["D",1715345012284],147,"5",{"_117":367,"_119":368,"_348":369},["D",1715344957454],146,"6",{"_117":371,"_119":372,"_348":373},["D",1715344736522],145,"7",{"_117":375,"_119":376,"_348":377},["D",1715344716114],144,"8",{"_117":379,"_119":380,"_348":381},["D",1715344696930],143,"9",{"_117":383,"_119":384,"_348":385},["D",1715344636420],142,"10","forksCount","valname","page",{"_114":112,"_99":100,"_131":132,"_11":97,"_119":120,"_101":102,"_115":116,"_106":107,"_113":26,"_137":138},"routes/_app","actionData","errors"]