ボイストゥジャーナル：Whisper APIで録音の文字起こしと気分分析

mkdir voice-to-journal
cd voice-to-journal
npm init -y

npm install express multer openai sentiment wink-nlp dotenv

// index.js
require('dotenv').config();
const express = require('express');
const multer = require(' multer');
const fs = require('fs');

const app = express();
const port = 3000;

// Multerでファイルアップロードを設定
const upload = multer({ dest: 'uploads/' });

app.post('/journal', upload.single('audio'), (req, res) => {
  if (!req.file) {
    return res.status(400).send('No audio file uploaded.');
  }
  res.json({ message: 'File uploaded successfully', file: req.file });
});

app.listen(port, () => {
  console.log(`Server is running on http://localhost:${port}`);
});

curl -X POST -F "audio=@/path/to/your/audio.mp3" http://localhost:3000/journal

// index.js (continued)
const { OpenAI } = require('openai');

const openai = new OpenAI({
  apiKey: process.env.OPENAI_API_KEY,
});

// ... (previous code)

app.post('/journal', upload.single('audio'), async (req, res) => {
  if (!req.file) {
    return res.status(400).send('No audio file uploaded.');
  }

  try {
    const transcription = await openai.audio.transcriptions.create({
      file: fs.createReadStream(req.file.path),
      model: 'whisper-1',
    });

    // アップロードされたファイルのクリーンアップ
    fs.unlinkSync(req.file.path);

    res.json({ transcription: transcription.text });
  } catch (error) {
    console.error('Error with OpenAI API:', error);
    res.status(500).send('Failed to transcribe audio.');
  }
});

// index.js (continued)
const Sentiment = require('sentiment');
const sentiment = new Sentiment();

// ... (previous code)

app.post('/journal', upload.single('audio'), async (req, res) => {
  // ... (file upload and transcription logic)

  try {
    // ... (transcription code)

    const journalText = transcription.text;
    const sentimentResult = sentiment.analyze(journalText);

    // ... (cleanup)

    res.json({
      transcription: journalText,
      sentiment: sentimentResult,
    });
  } catch (error) {
    // ... (error handling)
  }
});

// index.js (continued)
const winkNLP = require('wink-nlp');
const model = require('wink-eng-lite-web-model');
const nlp = winkNLP(model);

// ... (previous code)

app.post('/journal', upload.single('audio'), async (req, res) => {
    // ... (file upload and transcription logic)

    try {
        // ... (transcription and sentiment code)

        const journalText = transcription.text;
        const sentimentResult = sentiment.analyze(journalText);

        const doc = nlp.readDoc(journalText);
        const entities = doc.entities().out();

        // ... (cleanup)

        res.json({
            transcription: journalText,
            sentiment: sentimentResult,
            tags: entities
        });
    } catch (error) {
        // ... (error handling)
    }
});

// index.js
require('dotenv').config();
const express = require('express');
const multer = require('multer');
const fs = require('fs');
const { OpenAI } = require('openai');
const Sentiment = require('sentiment');
const winkNLP = require('wink-nlp');
const model = require('wink-eng-lite-web-model');

const app = express();
const port = 3000;

// AIツールの初期化
const openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });
const sentiment = new Sentiment();
const nlp = winkNLP(model);

// Multerでファイルアップロードを設定
const upload = multer({ dest: 'uploads/' });

app.post('/journal', upload.single('audio'), async (req, res) => {
  if (!req.file) {
    return res.status(400).send('No audio file uploaded.');
  }

  try {
    // 1. Whisperで音声を文字起こし
    const transcription = await openai.audio.transcriptions.create({
      file: fs.createReadStream(req.file.path),
      model: 'whisper-1',
    });

    const journalText = transcription.text;

    // 2. 感情を分析
    const sentimentResult = sentiment.analyze(journalText);

    // 3. エンティティを抽出（タグ）
    const doc = nlp.readDoc(journalText);
    const entities = doc.entities().out();
    const tags = entities.map(entity => ({ value: entity.value, type: entity.type }));

    res.json({
      transcription: journalText,
      sentiment: {
        score: sentimentResult.score,
        comparative: sentimentResult.comparative,
      },
      tags: tags,
    });
  } catch (error) {
    console.error('Error processing journal entry:', error);
    res.status(500).send('Failed to process journal entry.');
  } finally {
    // アップロードされたファイルのクリーンアップ
    fs.unlinkSync(req.file.path);
  }
});

app.listen(port, () => {
  console.log(`Server is running on http://localhost:${port}`);
});