botserver/packages/gpt.gblib/services/ChatServices.ts

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'use strict';

import { GBMinInstance } from 'botlib';
import OpenAI from "openai";
import { ChatGPTAPIBrowser, getOpenAIAuth } from 'chatgpt'
import { CollectionUtil } from 'pragmatismo-io-framework';
import { DialogKeywords } from '../../basic.gblib/services/DialogKeywords';
import Path from 'path';
import * as Fs from 'fs';

export class ChatServices {

  public static async sendMessage(min: GBMinInstance, text: string) {
    let key;
    if (process.env.OPENAI_KEY) {
      key = process.env.OPENAI_KEY;
    }
    else {
      key = min.core.getParam(min.instance, 'Open AI Key', null);
    }

    if (!key) {
      throw new Error('Open AI Key not configured in .gbot.');
    }
    let functions = [];

    // Adds .gbdialog as functions if any to GPT Functions.

    await CollectionUtil.asyncForEach(Object.values(min.scriptMap), async script => {
      const path = DialogKeywords.getGBAIPath(min.botId, "gbdialog", null);
      const localFolder = Path.join('work', path, `${script}.json`);

      if (Fs.existsSync(localFolder)) {
        const func = Fs.readFileSync(localFolder).toJSON();
        functions.push(func);
      }

    });

    // Calls Model.

    const openai = new OpenAI({
      apiKey: key
    });
    const chatCompletion = await openai.chat.completions.create({
      model: "gpt-3.5-turbo",
      messages: [{ role: "user", content: text }],
      functions: functions
    });
    return chatCompletion.choices[0].message.content;
  }



  /**
   * Generate text
   *
   * CONTINUE keword.
   *
   * result = CONTINUE text
   *
   */
  public static async continue(min: GBMinInstance, text: string, chatId) {
    let key;
    if (process.env.OPENAI_KEY) {
      key = process.env.OPENAI_KEY;
    }
    else {
      key = min.core.getParam(min.instance, 'Open AI Key', null);
    }

    if (!key) {
      throw new Error('Open AI Key not configured in .gbot.');
    }
    const openai = new OpenAI({
      apiKey: key
    });
    const chatCompletion = await openai.chat.completions.create({
      model: "gpt-3.5-turbo",
      messages: [{ role: "user", content: text }]

    });
    return chatCompletion.choices[0].message.content;
  }
}