Fix
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@@ -24,9 +24,8 @@ async def transcribe_audio(file: UploadFile = File(...)):
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try:
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# Transcribe the audio
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result = model.transcribe("inputs/test.mp3")
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result = model.transcribe(temp_path)
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transcription = result["text"]
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print(transcription)
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finally:
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# Clean up temporary file
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os.remove(temp_path)
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@@ -1,55 +0,0 @@
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import { NextRequest, NextResponse } from "next/server";
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import multer from "multer";
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import fs from "fs/promises";
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import whisper from "openai-whisper";
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const upload = multer({ dest: "uploads/" });
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export const config = {
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api: {
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bodyParser: false, // Disable Next.js's body parsing for file uploads
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},
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};
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// Whisper model (initialize once for efficiency)
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const model = whisper.load_model("base");
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// Utility to transcribe audio
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async function transcribeAudio(filePath: string): Promise<string> {
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const transcription = await model.transcribe(filePath);
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return transcription.text;
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}
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async function parseMultipartForm(req: NextRequest): Promise<File> {
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return new Promise((resolve, reject) => {
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const multerMiddleware = upload.single("audio");
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multerMiddleware(req as any, {} as any, (error: any) => {
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if (error) return reject(error);
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resolve(req.file);
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});
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});
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}
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export async function POST(req: NextRequest) {
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try {
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// Parse the incoming multipart form data
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const file = await parseMultipartForm(req);
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if (!file) {
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return NextResponse.json({ error: "No audio file provided" }, { status: 400 });
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}
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const filePath = file.path;
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// Transcribe the audio
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const transcription = await transcribeAudio(filePath);
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// Clean up the uploaded file
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await fs.unlink(filePath);
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return NextResponse.json({ transcription });
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} catch (error) {
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console.error("Error during transcription:", error);
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return NextResponse.json({ error: "Transcription failed" }, { status: 500 });
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}
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}
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