使用 openai api 创建聊天摘要

Question

我正在创建一个 ChatSummarizer 应用程序，其中输入是带有聊天记录的 Excel 文件。 Excel 工作表的每一行对应一个新的聊天。 Summarizer 应用程序在相邻列中总结聊天内容。问题是我不断收到以下错误：TypeError：无法读取未定义的属性（读取“创建”）

这是我的代码：

require('dotenv').config();
const express = require('express');
const multer = require('multer');
const ExcelJS = require('exceljs');
const { Configuration, OpenAIApi } = require("openai");
const fs = require('fs');

// Initialize express app
const app = express();

// Configure multer for file uploads
const upload = multer({ dest: 'uploads/' });

// Initialize OpenAI API with configuration
const { OpenAI } = require('openai');
const openai = new OpenAI(process.env.OPENAI_API_KEY);

app.post('/upload', upload.single('file'), async (req, res) => {
  try {
    const workbook = new ExcelJS.Workbook();
    await workbook.xlsx.readFile(req.file.path);
    console.log(`File uploaded to: ${req.file.path}`);

    const worksheet = workbook.getWorksheet(1);

    // Convert worksheet rows to an array for easier iteration
    let rows = [];
    worksheet.eachRow((row, rowNumber) => {
      rows.push({ row, rowNumber });
    });

    // Iterate over rows array using a for...of loop to maintain async/await context
    for (let { row, rowNumber } of rows) {
      let chatText = row.getCell(1).value;
      if (chatText) { // Ensure there's text to summarize
        try {
          const response = await openai.ChatCompletion.create({
            model: "gpt-3.5-turbo",
            prompt: `Summarize this chat: ${chatText}`,
            max_tokens: 100,
          });
          let summary = response.data.choices[0].text.trim();
          row.getCell(2).value = summary; // Assign the summary to the next column
        } catch (apiError) {
          console.error(`Error processing row ${rowNumber}:`, apiError);
        }
      }
    }

    // Save the workbook with summaries to a new file
    await workbook.xlsx.writeFile('/Users/ravikumar/ClarabridgeOutput/output.xlsx');
    res.send('File processed and summaries added.');
  } catch (error) {
    console.error(error);
    res.status(500).send('An error occurred while processing the file.');
    fs.unlinkSync(req.file.path); // Clean up uploaded file even on error
  }
});

// Choose a port for the server to listen on
const PORT = 3000;

// Start the server
app.listen(PORT, () => {
  console.log(`Server running on port ${PORT}`);
});

Answer 1

您使用了错误的方法名称。正确的方法名称取决于您使用的 OpenAI Node.js SDK 版本。

如果您使用的是 OpenAI Node.js SDK >=

v4

，以下是正确的方法名称：

openai.chat.completions.create

如果您使用 OpenAI Node.js SDK <

v4

，以下是正确的方法名称：

openai.ChatCompletion.create