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Audio Transcription

\n \n \n fileInputRef.current?.click()}\n style={{\n padding: \"10px 20px\",\n backgroundColor: \"#3498db\",\n color: \"white\",\n border: \"none\",\n borderRadius: \"5px\",\n cursor: \"pointer\",\n }}\n >\n Select .ogg Audio File\n \n

or drag and drop an .ogg file here

\n \n\n {transcription && (\n \n

Transcription:

\n            {transcription}\n

\n \n )}\n \n );\n}\n\nfunction client() {\n createRoot(document.getElementById(\"root\")).render();\n}\nif (typeof document !== \"undefined\") { client(); }\n\nexport default async function server(request: Request): Promise {\n if (request.method === \"POST\" && new URL(request.url).pathname === \"/transcribe\") {\n try {\n const formData = await request.formData();\n const audioFile = formData.get(\"audio\") as File;\n\n if (!audioFile) {\n return new Response(\"No file uploaded\", { status: 400 });\n }\n\n const { OpenAI } = await import(\"npm:openai\");\n const openai = new OpenAI({ apiKey: Deno.env.get(\"OPENAI_API_KEY\") });\n\n const arrayBuffer = await audioFile.arrayBuffer();\n const transcription = await openai.audio.transcriptions.create({\n file: new File([arrayBuffer], audioFile.name, { type: audioFile.type }),\n model: \"whisper-1\",\n });\n\n return new Response(transcription.text, {\n headers: { \"Content-Type\": \"text/plain\" },\n });\n } catch (error) {\n console.error(\"Transcription error:\", error);\n return new Response(`Transcription failed: ${error.message}`, { status: 500 });\n }\n }\n\n return new Response(\n `\n \n \n Audio Transcription\n \n \n \n

\n \n \n \n `,\n {\n headers: { \"Content-Type\": \"text/html\" },\n },\n );\n}","/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport { createRoot } from \"https://esm.sh/react-dom@18.2.0/client\";\nimport React, { DragEvent, useRef, useState } from \"https://esm.sh/react@18.2.0\";\n\nfunction App() {\n const [transcription, setTranscription] = useState(\"\");\n const [isDragOver, setIsDragOver] = useState(false);\n const [uploadedFile, setUploadedFile] = useState(null);\n const [isTranscribing, setIsTranscribing] = useState(false);\n const [buttonColor, setButtonColor] = useState(\"#3498db\");\n const fileInputRef = useRef(null);\n\n const handleDragOver = (e: DragEvent) => {\n e.preventDefault();\n setIsDragOver(true);\n };\n\n const handleDragLeave = () => {\n setIsDragOver(false);\n };\n\n const handleDrop = async (e: DragEvent) => {\n e.preventDefault();\n setIsDragOver(false);\n const files = e.dataTransfer?.files;\n if (files && files.length > 0) {\n handleFileUpload(files[0]);\n }\n };\n\n const handleFileSelect = async (e: React.ChangeEvent) => {\n const files = e.target.files;\n if (files && files.length > 0) {\n handleFileUpload(files[0]);\n }\n };\n\n const handleFileUpload = (file: File) => {\n if (!file.name.toLowerCase().endsWith(\".ogg\")) {\n alert(\"Please upload an .ogg audio file\");\n return;\n }\n setUploadedFile(file);\n \n // Animate button color\n setButtonColor(\"#2ecc71\");\n setTimeout(() => {\n setButtonColor(\"#3498db\");\n }, 500);\n };\n\n const processFile = async () => {\n if (!uploadedFile) return;\n\n setIsTranscribing(true);\n const formData = new FormData();\n formData.append(\"audio\", uploadedFile);\n\n try {\n const response = await fetch(\"/transcribe\", {\n method: \"POST\",\n body: formData,\n });\n\n if (!response.ok) {\n throw new Error(\"Transcription failed\");\n }\n\n const result = await response.text();\n setTranscription(result);\n } catch (error) {\n console.error(\"Error:\", error);\n alert(\"Transcription failed\");\n } finally {\n setIsTranscribing(false);\n }\n };\n\n return (\n \n

Audio Transcription

\n \n \n fileInputRef.current?.click()}\n style={{\n padding: \"10px 20px\",\n backgroundColor: buttonColor,\n color: \"white\",\n border: \"none\",\n borderRadius: \"5px\",\n cursor: \"pointer\",\n transition: \"background-color 0.3s ease\",\n }}\n >\n Select .ogg Audio File\n \n

or drag and drop an .ogg file here

\n \n {uploadedFile && (\n

\n ✅ {uploadedFile.name}\n

\n )}\n \n\n {uploadedFile && (\n \n {isTranscribing ? \"Transcribing...\" : \"Transcribe\"}\n \n )}\n\n {transcription && (\n \n

Transcription:

\n            {transcription}\n

\n \n )}\n\n \n \n );\n}\n\nfunction client() {\n createRoot(document.getElementById(\"root\")).render();\n}\nif (typeof document !== \"undefined\") { client(); }\n\nexport default async function server(request: Request): Promise {\n if (request.method === \"POST\" && new URL(request.url).pathname === \"/transcribe\") {\n try {\n const formData = await request.formData();\n const audioFile = formData.get(\"audio\") as File;\n\n if (!audioFile) {\n return new Response(\"No file uploaded\", { status: 400 });\n }\n\n const { OpenAI } = await import(\"npm:openai\");\n const openai = new OpenAI({ apiKey: Deno.env.get(\"OPENAI_API_KEY\") });\n\n const arrayBuffer = await audioFile.arrayBuffer();\n const transcription = await openai.audio.transcriptions.create({\n file: new File([arrayBuffer], audioFile.name, { type: audioFile.type }),\n model: \"whisper-1\",\n });\n\n return new Response(transcription.text, {\n headers: { \"Content-Type\": \"text/plain\" },\n });\n } catch (error) {\n console.error(\"Transcription error:\", error);\n return new Response(`Transcription failed: ${error.message}`, { status: 500 });\n }\n }\n\n return new Response(\n `\n \n \n Audio Transcription\n \n \n \n

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Diff · v13