[feat] fine tunning 코드 추가

package.json

@@ -34,7 +34,7 @@
     "multer-s3": "^2.10.0",
     "mysql2": "^3.7.0",
     "nodemailer": "^6.9.8",
-    "openai": "^4.26.0",
+    "openai": "^4.28.0",
     "redis": "^4.6.12",
     "solapi": "^5.2.4",
     "swagger-cli": "^4.0.4",

src/controllers/summary.controller.js

@@ -1,5 +1,5 @@
 // src/controllers/summary.controller.js
-import { getSummary, getTitle } from '../services/chatGPT.service.js';
+import { fineTunningData, getSummary, getTitle } from '../services/chatGPT.service.js';
 import { readFileFromObjectStorage } from '../services/storage.service.js';
 import { getScriptFileName } from '../services/storage.service.js';
 import { chatGPTCall } from '../services/chatGPT.service.js';
@@ -43,6 +43,7 @@ export const summary = async (req, res) => {
                 })
             }
             console.log("시간데이터 있는 데이터",timeStampData);
+            // const tempResult=await fineTunningData(JSON.stringify(timeStampData));
             console.log(scriptText);
 
             const summaryResult = await getSummary(scriptText);
@@ -54,12 +55,12 @@ export const summary = async (req, res) => {
             console.log("summary json 데이터",summaryData);
             //gpt 데이터
             const gptResponse = await chatGPTCall(scriptText);
-
+            console.log("gpt받아온 데이터",gptResponse);
             const startIndex = gptResponse.indexOf('{'); // 첫 번째 '{'의 인덱스 찾기
             const trimmedResponse = gptResponse.substring(startIndex);
             const gptData=JSON.parse(trimmedResponse);
 
-            console.log(gptResponse);
+
 
             //유튜브 제목 요약
             const titleData=await getTitle(videoTitle);

src/services/chatGPT.service.js

@@ -1,6 +1,7 @@
 // src/services/chatGPTService.js
 import axios from 'axios';
 import dotenv from 'dotenv';
+import OpenAI from 'openai';
 
 dotenv.config();
 
@@ -45,7 +46,7 @@ export const chatGPTCall = async (scriptText) => {
 
     const prompt = `Run this script from step 1 , Make sure to fulfill the condition given to the system promport. original script: ${scriptText}\n ` ;
 
-
+    console.log("프롬프트",prompt);
     const response = await axios.post(
       OPENAI_API_URL,
       {
@@ -205,3 +206,21 @@ export const getSummary = async (scriptText) => {
     throw error;
   }
 };
+
+export const fineTunningData = async (script)=>{
+  try {
+
+    const openai = new OpenAI({
+      apiKey: OPENAI_API_KEY
+    })
+
+    const result= await openai.completions.create({
+      prompt: script,
+      model:"ft:davinci-002:personal::8sC2Qcki",
+      max_tokens :8000
+    })
+    console.log("스크립트",result);
+  } catch (error) {
+    console.log(error);
+  }
+}