fix: chat gpt file upload

package.json

@@ -35,7 +35,7 @@
     "tune:dev": "nodemon src/finetuning.ts",
     "clean": "rimraf coverage build tmp",
     "prebuild": "npm run lint",
-    "build": "tsc -p tsconfig.json",
+    "build": "tsc -p tsconfig.json && chmod +x build/src/*",
     "build:watch": "tsc -w -p tsconfig.json",
     "build:release": "npm run clean && tsc -p tsconfig.release.json",
     "lint": "eslint . --ext .ts --ext .mts",
@@ -62,9 +62,13 @@
   "volta": {
     "node": "18.12.1"
   },
+  "bin": {
+    "chatgpt": "./build/src/chat.js",
+    "tunegpt": "./build/src/finetune.js"
+  },
   "nodemonConfig": {
     "ignore": [
       "db/*"
     ]
   }
-}
+}

src/chat.ts

@@ -1,11 +1,12 @@
+#!/usr/bin/env node
 // eslint-lint-disable no-continue
 import 'dotenv/config';
 import prompt from 'prompt';
 import { chatWithGPT } from './services/openai.ts';
 import getDb from './services/db.ts';
 import { getUserInput } from './services/utils.ts';
 
-let model = process.argv[2] || 'gpt-3.5-turbo';
+const model = process.argv[2] || 'gpt-3.5-turbo';
 prompt.start();
 
 const chat = async () => {

src/finetuning.ts

@@ -1,3 +1,4 @@
+#!/usr/bin/env node
 /** eslint-lint-disable no-shadow  */
 import 'dotenv/config';
 import prompt from 'prompt';

src/index.ts

@@ -1,3 +1,4 @@
+#!/usr/bin/env node
 console.log(`Welcome to ChatGPT CLI!
 \t To Chat run "yarn chat" then Type your message and press Enter.
 \t To Fine Tune your models run "yarn tuning" then select your model and press Enter.

src/services/openai.ts

@@ -20,15 +20,15 @@ export const openai = new OpenAIApi(configuration);
 export async function chatWithGPT(
   message: string,
   context = [],
-  model?:string = 'gpt-3.5-turbo',
+  model = 'gpt-3.5-turbo',
 ): Promise<string> {
   try {
-    console.log('Sending message to GPT:', [
-      ...context,
-      {
-        role: 'user', content: message
-      },
-    ]);
+    // console.log('Sending message to GPT:', [
+    //   ...context,
+    //   {
+    //     role: 'user', content: message
+    //   },
+    // ]);
     const response = await openai.createChatCompletion({
       model,
       messages: [...context, {