{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d803abee",
   "metadata": {},
   "outputs": [],
   "source": [
    "from typing import Self\n",
    "from dotenv import load_dotenv\n",
    "from openai import OpenAI\n",
    "import json\n",
    "import os\n",
    "import requests\n",
    "from pypdf import PdfReader\n",
    "import gradio as gr\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "55c2a909",
   "metadata": {},
   "outputs": [],
   "source": [
    "class Me:\n",
    "\n",
    "    def __init__(self):\n",
    "        self.openai = OpenAI()\n",
    "        self.name = \"Mukesh Patil\"\n",
    "        reader = PdfReader(\"me/LinkedIn Profile.pdf\")\n",
    "        self.linkedin = \"\"\n",
    "        for page in reader.pages:\n",
    "            text = page.extract_text()\n",
    "            if text:\n",
    "                self.linkedin += text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "8ca58b84",
   "metadata": {},
   "outputs": [],
   "source": [
    "me = Me()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "7b2d13e5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mukesh Patil\n"
     ]
    }
   ],
   "source": [
    "print( me.name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "80b857d8",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}