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+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "provenance": []
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "dSJG6OEazaWm",
+        "outputId": "300bae8f-42ee-48d0-83ba-80ed9b31e92f"
+      },
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "رزومه حرفه‌ای و منظم شما به شرح زیر است:\n",
+            "\n",
+            "---\n",
+            "\n",
+            "### مشخصات شخصی:\n",
+            "- **نام:** مریم نوری\n",
+            "- **وضعیت تاهل:** مجرد\n",
+            "- **سن:** 38 سال\n",
+            "- **جنسیت:** خانم\n",
+            "- **محل اقامت:** تهران\n",
+            "\n",
+            "### تحصیلات:\n",
+            "- **مدرک تحصیلی:** لیسانس و زبان انگلیسی\n",
+            "- **رشته تحصیلی:** مهندسی نرم افزار\n",
+            "\n",
+            "### تجربیات کاری:\n",
+            "1. **برنامه‌نویس و متخصص هوش مصنوعی**\n",
+            "   - اشتغال آزاد\n",
+            "   - سابقه کار از سال 1393 تا کنون\n",
+            "   - تخصص در توسعه برنامه‌های وب و موبایل\n",
+            "   - تجربه کار با زبان‌های برنامه‌نویسی Python، C#، C و Delphi\n",
+            "   - آشنایی با Net Core، Microsoft One Note، Microsoft Access و Microsoft Powerpoint\n",
+            "\n",
+            "### تحصیلات تکمیلی:\n",
+            "- **مدرک دوره‌های آموزشی:**\n",
+            "   - توسعه نرم‌افزارهای هوش مصنوعی\n",
+            "   - توسعه نرم‌افزارهای تحت وب\n",
+            "   - توسعه نرم‌افزارهای موبایل\n",
+            "\n",
+            "### اطلاعات تماس:\n",
+            "- **تلفن:** 09132177559\n",
+            "- **ایمیل:** maryam_nourii@yahoo.com\n",
+            "- **پیوند GitHub:** [GitHub Profile](https://github.com/MaryamNour\n"
+          ]
+        }
+      ],
+      "source": [
+        "#!pip install openai==0.28\n",
+        "import openai\n",
+        "\n",
+        "# کلید API خود را وارد کنید (مطمئن شوید که این کلید را مخفی نگه دارید)\n",
+        "openai.api_key = 'sk-proj-bC6H6QrP6DUqHkn5vOkYT3BlbkFJsSyvL4Bc9c3UEbHrsPMj'\n",
+        "\n",
+        "def create_optimized_resume(info):\n",
+        "    prompt = f\"\"\"\n",
+        "    من اطلاعات زیر را به شما می‌دهم، لطفاً یک رزومه حرفه‌ای و منظم برای من ایجاد کنید.\n",
+        "    اطلاعات:\n",
+        "    {info}\n",
+        "\n",
+        "    رزومه حرفه‌ای و منظم:\n",
+        "    \"\"\"\n",
+        "\n",
+        "    response = openai.ChatCompletion.create(\n",
+        "        model=\"gpt-3.5-turbo\",\n",
+        "        messages=[\n",
+        "            {\"role\": \"system\", \"content\": \"You are a helpful assistant.\"},\n",
+        "            {\"role\": \"user\", \"content\": prompt}\n",
+        "        ],\n",
+        "        max_tokens=500,\n",
+        "        n=1,\n",
+        "        stop=None,\n",
+        "        temperature=0.5,\n",
+        "    )\n",
+        "\n",
+        "    return response.choices[0].message['content'].strip()\n",
+        "\n",
+        "# اطلاعات ورودی رزومه\n",
+        "info = \"\"\"ﻧﻮری ﻣﺮﯾﻢ\n",
+        "ﺳ\u0002ﺎﻫﺎن ﺗﻮاﺗﺮ ﻣﻬﻨﺪﺳﯽ ﺷﺮﮐﺖ در ﻧﻮﯾﺲ\n",
+        "برنامه\n",
+        "رﺑﺎﺗﯿﮏ و ﻣﺼﻨﻮﻋﯽ ﻫﻮش ارﺷﺪ ﮐﺎرﺷﻨﺎﺳﯽ\n",
+        "اﺳﻼﻣﯽ آزاد داﻧﺸﮕﺎه\n",
+        "ﻓﺮدی ﻣﺸﺨﺼﺎت\n",
+        "ﺳﺎل 38\n",
+        ":ﺳﻦ\n",
+        "زن:ﺟﻨﺴﯿﺖ\n",
+        "ﻣﺠﺮد:ﺗﺎﻫﻞ وﺿﻌﯿﺖ\n",
+        "ﺗﻤﺎس اﻃﻼﻋﺎت\n",
+        "-\n",
+        "-\n",
+        "-\n",
+        "-\n",
+        "-\n",
+        ":ﺗﻠﻔﻦ\n",
+        "09132177559\n",
+        ":ﻣﻮﺑﺎ;ﻞ\n",
+        "maryam_nourii@yahoo.com\n",
+        ":اﯾﻤﯿﻞ\n",
+        "اﻟﺪوﻟﻪ ﺣﺸﻤﺖ\n",
+        "-\n",
+        " ﺟﻤﺎﻟﺰاده\n",
+        "-\n",
+        " ﺗﻬﺮان\n",
+        ":ﺳﮑﻮﻧﺖ ﻣﺤﻞ\n",
+        ":ﻟﯿﻨﮑﺪ;ﻦ\n",
+        "-\n",
+        "ﮐﺎری ﺳﺎﺑﻘﻪ و ﺣﻘﻮق\n",
+        "ﺳﺎل 11\n",
+        ":ﮐﺎری ﺳﺎﺑﻘﻪ ﻣﯿﺰان\n",
+        "ﺗﻮﻣﺎن ﻣﯿﻠﯿﻮن 15\n",
+        "-\n",
+        " 20\n",
+        ":ﺣﻘﻮق\n",
+        "ﮐﺎر ﻧﻤﻮﻧﻪ\n",
+        " https://github.com/MaryamNourii?tab=repos…\n",
+        "www.jobvision.ir\n",
+        ":رزوﻣﻪ رﺳﺎﻧﯽ\n",
+        "\u0018ﺮوز1402 دی 20\n",
+        ":ﮐﺎر\u0018ﺮی ﺷﻨﺎﺳﻪJV-16905476\n",
+        "ﺷﻐﻠﯽ ﺳﻮاﺑﻖ\n",
+        "ﺗﺤﺼﯿﻠﯽ ﺳﻮاﺑﻖ\n",
+        "ﺧﺎرﺟﯽ ﻫﺎی\n",
+        "زﺑﺎن\n",
+        "اﻓﺰارﻫﺎ ﻧﺮم\n",
+        "(ﻣﺎه 9 و ﺳﺎل 10) 1398 ﺧﺮداد ﺗﺎ 1387 ﺷﻬﺮ;ﻮر\n",
+        "ﻧﻮﯾﺲ\n",
+        "Dﺮﻧﺎﻣﻪ\n",
+        "ﺳ\u0002ﺎﻫﺎن ﺗﻮاﺗﺮ ﻣﻬﻨﺪﺳﯽ ﺷﺮﮐﺖ\n",
+        "ﺗﻬﺮان ا;ﺮان\n",
+        "1393 - 1396رﺑﺎﺗﯿﮏ و ﻣﺼﻨﻮﻋﯽ ﻫﻮش\n",
+        "-\n",
+        " ارﺷﺪ ﮐﺎرﺷﻨﺎﺳﯽ\n",
+        "اﺳﻼﻣﯽ آزاد داﻧﺸﮕﺎه\n",
+        "1383 - 1387ﮐﺎﻣﭙﯿﻮﺗﺮ ﻣﻬﻨﺪﺳﯽ\n",
+        "-\n",
+        " ﮐﺎرﺷﻨﺎﺳﯽ\n",
+        "اﺳﻼﻣﯽ آزاد داﻧﺸﮕﺎه\n",
+        "٪۵۰ ﻣﺘﻮﺳﻂ |  اﻧﮕﻠﯿﺴﯽ\n",
+        "ﻣﻘﺪﻣﺎﺗﯽ |  Microsoft One Note  ﻣﻘﺪﻣﺎﺗﯽ |  Microsoft Access  ﻣﻘﺪﻣﺎﺗﯽ |  Delphi\n",
+        "ﻣﺘﻮﺳﻂ |  Net Core / .Net.  ﻣﺘﻮﺳﻂ |  +\n",
+        "+ C  ﻣﺘﻮﺳﻂ |  C  ﻣﺘﻮﺳﻂ |  Microsoft Powerpoint\n",
+        "gﯿﺸﺮﻓﺘﻪ |  #C\n",
+        "gﯿﺸﺮﻓﺘﻪ |  Python  ﻣﺘﻮﺳﻂ |  OpenCV  ﻣﺘﻮﺳﻂ |  Keras\n",
+        "gﯿﺸﺮﻓﺘﻪ |  Microsoft Visual Studio\n",
+        "\n",
+        "\"\"\"\n",
+        "\n",
+        "# ایجاد رزومه بهینه\n",
+        "optimized_resume = create_optimized_resume(info)\n",
+        "print(optimized_resume)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "#!pip install openai==0.28\n",
+        "import openai\n",
+        "\n",
+        "# کلید API خود را وارد کنید (مطمئن شوید که این کلید را مخفی نگه دارید)\n",
+        "openai.api_key = 'sk-proj-bC6H6QrP6DUqHkn5vOkYT3BlbkFJsSyvL4Bc9c3UEbHrsPMj'\n",
+        "\n",
+        "def create_optimized_resume(info):\n",
+        "    prompt = f\"\"\"\n",
+        "    من اطلاعات زیر را به شما می‌دهم، لطفاً یک رزومه حرفه‌ای و منظم برای من ایجاد کنید.\n",
+        "    اطلاعات:\n",
+        "    {info}\n",
+        "\n",
+        "    رزومه حرفه‌ای و منظم:\n",
+        "    \"\"\"\n",
+        "\n",
+        "    response = openai.ChatCompletion.create(\n",
+        "        model=\"gpt-3.5-turbo\",\n",
+        "        messages=[\n",
+        "            {\"role\": \"system\", \"content\": \"You are a helpful assistant.\"},\n",
+        "            {\"role\": \"user\", \"content\": prompt}\n",
+        "        ],\n",
+        "        max_tokens=500,\n",
+        "        n=1,\n",
+        "        stop=None,\n",
+        "        temperature=0.5,\n",
+        "    )\n",
+        "\n",
+        "    return response.choices[0].message['content'].strip()\n",
+        "\n",
+        "# اطلاعات ورودی رزومه\n",
+        "info = \"\"\"ﻧﻮری ﻣﺮﯾﻢ\n",
+        "ﺳ\u0002ﺎﻫﺎن ﺗﻮاﺗﺮ ﻣﻬﻨﺪﺳﯽ ﺷﺮﮐﺖ در ﻧﻮﯾﺲ\n",
+        "برنامه\n",
+        "رﺑﺎﺗﯿﮏ و ﻣﺼﻨﻮﻋﯽ ﻫﻮش ارﺷﺪ ﮐﺎرﺷﻨﺎﺳﯽ\n",
+        "اﺳﻼﻣﯽ آزاد داﻧﺸﮕﺎه\n",
+        "ﻓﺮدی ﻣﺸﺨﺼﺎت\n",
+        "ﺳﺎل 38\n",
+        ":ﺳﻦ\n",
+        "زن:ﺟﻨﺴﯿﺖ\n",
+        "ﻣﺠﺮد:ﺗﺎﻫﻞ وﺿﻌﯿﺖ\n",
+        "ﺗﻤﺎس اﻃﻼﻋﺎت\n",
+        "-\n",
+        "-\n",
+        "-\n",
+        "-\n",
+        "-\n",
+        ":ﺗﻠﻔﻦ\n",
+        "09132177559\n",
+        ":ﻣﻮﺑﺎ;ﻞ\n",
+        "maryam_nourii@yahoo.com\n",
+        ":اﯾﻤﯿﻞ\n",
+        "اﻟﺪوﻟﻪ ﺣﺸﻤﺖ\n",
+        "-\n",
+        " ﺟﻤﺎﻟﺰاده\n",
+        "-\n",
+        " ﺗﻬﺮان\n",
+        ":ﺳﮑﻮﻧﺖ ﻣﺤﻞ\n",
+        ":ﻟﯿﻨﮑﺪ;ﻦ\n",
+        "-\n",
+        "ﮐﺎری ﺳﺎﺑﻘﻪ و ﺣﻘﻮق\n",
+        "ﺳﺎل 11\n",
+        ":ﮐﺎری ﺳﺎﺑﻘﻪ ﻣﯿﺰان\n",
+        "ﺗﻮﻣﺎن ﻣﯿﻠﯿﻮن 15\n",
+        "-\n",
+        " 20\n",
+        ":ﺣﻘﻮق\n",
+        "ﮐﺎر ﻧﻤﻮﻧﻪ\n",
+        " https://github.com/MaryamNourii?tab=repos…\n",
+        "www.jobvision.ir\n",
+        ":رزوﻣﻪ رﺳﺎﻧﯽ\n",
+        "\u0018ﺮوز1402 دی 20\n",
+        ":ﮐﺎر\u0018ﺮی ﺷﻨﺎﺳﻪJV-16905476\n",
+        "ﺷﻐﻠﯽ ﺳﻮاﺑﻖ\n",
+        "ﺗﺤﺼﯿﻠﯽ ﺳﻮاﺑﻖ\n",
+        "ﺧﺎرﺟ��� ﻫﺎی\n",
+        "زﺑﺎن\n",
+        "اﻓﺰارﻫﺎ ﻧﺮم\n",
+        "(ﻣﺎه 9 و ﺳﺎل 10) 1398 ﺧﺮداد ﺗﺎ 1387 ﺷﻬﺮ;ﻮر\n",
+        "ﻧﻮﯾﺲ\n",
+        "Dﺮﻧﺎﻣﻪ\n",
+        "ﺳ\u0002ﺎﻫﺎن ﺗﻮاﺗﺮ ﻣﻬﻨﺪﺳﯽ ﺷﺮﮐﺖ\n",
+        "ﺗﻬﺮان ا;ﺮان\n",
+        "1393 - 1396رﺑﺎﺗﯿﮏ و ﻣﺼﻨﻮﻋﯽ ﻫﻮش\n",
+        "-\n",
+        " ارﺷﺪ ﮐﺎرﺷﻨﺎﺳﯽ\n",
+        "اﺳﻼﻣﯽ آزاد داﻧﺸﮕﺎه\n",
+        "1383 - 1387ﮐﺎﻣﭙﯿﻮﺗﺮ ﻣﻬﻨﺪﺳﯽ\n",
+        "-\n",
+        " ﮐﺎرﺷﻨﺎﺳﯽ\n",
+        "اﺳﻼﻣﯽ آزاد داﻧﺸﮕﺎه\n",
+        "٪۵۰ ﻣﺘﻮﺳﻂ |  اﻧﮕﻠﯿﺴﯽ\n",
+        "ﻣﻘﺪﻣﺎﺗﯽ |  Microsoft One Note  ﻣﻘﺪﻣﺎﺗﯽ |  Microsoft Access  ﻣﻘﺪﻣﺎﺗﯽ |  Delphi\n",
+        "ﻣﺘﻮﺳﻂ |  Net Core / .Net.  ﻣﺘﻮﺳﻂ |  +\n",
+        "+ C  ﻣﺘﻮﺳﻂ |  C  ﻣﺘﻮﺳﻂ |  Microsoft Powerpoint\n",
+        "gﯿﺸﺮﻓﺘﻪ |  #C\n",
+        "gﯿﺸﺮﻓﺘﻪ |  Python  ﻣﺘﻮﺳﻂ |  OpenCV  ﻣﺘﻮﺳﻂ |  Keras\n",
+        "gﯿﺸﺮﻓﺘﻪ |  Microsoft Visual Studio\n",
+        "\n",
+        "\"\"\"\n",
+        "\n",
+        "# ایجاد رزومه بهینه\n",
+        "optimized_resume = create_optimized_resume(info)\n",
+        "print(optimized_resume)"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "ba9_tGedzezw",
+        "outputId": "e3509291-65b0-48dd-e6ab-81727739b18b"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "رزومه حرفه‌ای شما به شرح زیر است:\n",
+            "\n",
+            "نام: مریم نوری\n",
+            "تاریخ تولد: ۳۸ سال\n",
+            "جنسیت: خانم\n",
+            "وضعیت تاهل: مجرد\n",
+            "آدرس: تهران\n",
+            "\n",
+            "تحصیلات:\n",
+            "- دیپلم رشته تجربی\n",
+            "- فوق دیپلم برنامه نویسی و مهندسی نرم افزار\n",
+            "\n",
+            "تجربه‌های کاری:\n",
+            "- برنامه نویس و متخصص هوش مصنوعی، ۵ سال\n",
+            "- توسعه دهنده نرم افزار، ۳ سال\n",
+            "\n",
+            "مهارت‌ها:\n",
+            "- آشنایی با Net Core / .Net و C#\n",
+            "- تجربه در استفاده از Microsoft One Note و Microsoft Access\n",
+            "- مسلط به زبان‌های برنامه‌نویسی C و Python\n",
+            "- توانایی کار با OpenCV و Keras\n",
+            "- تجربه استفاده از Microsoft Visual Studio\n",
+            "\n",
+            "اطلاعات تماس:\n",
+            "تلفن: ۰۹۱۳۲۱۷۷۵۵۹\n",
+            "ایمیل: maryam_nourii@yahoo.com\n",
+            "\n",
+            "پروفایل GitHub: https://github.com/MaryamNourii?tab=repos…\n",
+            "وب‌سایت شخصی: www.jobvision.ir\n",
+            "\n",
+            "تاریخ آخرین به‌روزرسانی رزومه: ۲۰ دی ۱۴۰۲\n",
+            "شماره رزومه: JV-16905476\n",
+            "\n",
+            "توضیحات تکمیلی:\n",
+            "- دارای مهارت‌های خوب در حوزه هوش مصنوعی\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "from google.colab import drive\n",
+        "drive.mount('/content/drive')"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "QuZdeTmhTXTe",
+        "outputId": "6777f3b3-4b84-4d98-e896-05749f5e46d8"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "!pip install openai==0.28\n"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "qgxyfMypKQEr",
+        "outputId": "e5ba2be5-1835-45f6-ec42-714eacb3d232"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Collecting openai==0.28\n",
+            "  Downloading openai-0.28.0-py3-none-any.whl (76 kB)\n",
+            "\u001b[?25l     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━��━━━━━\u001b[0m \u001b[32m0.0/76.5 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m76.5/76.5 kB\u001b[0m \u001b[31m2.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hRequirement already satisfied: requests>=2.20 in /usr/local/lib/python3.10/dist-packages (from openai==0.28) (2.31.0)\n",
+            "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from openai==0.28) (4.66.4)\n",
+            "Requirement already satisfied: aiohttp in /usr/local/lib/python3.10/dist-packages (from openai==0.28) (3.9.5)\n",
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+            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.20->openai==0.28) (3.7)\n",
+            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests>=2.20->openai==0.28) (2.0.7)\n",
+            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.20->openai==0.28) (2024.6.2)\n",
+            "Requirement already satisfied: aiosignal>=1.1.2 in /usr/local/lib/python3.10/dist-packages (from aiohttp->openai==0.28) (1.3.1)\n",
+            "Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->openai==0.28) (23.2.0)\n",
+            "Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.10/dist-packages (from aiohttp->openai==0.28) (1.4.1)\n",
+            "Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.10/dist-packages (from aiohttp->openai==0.28) (6.0.5)\n",
+            "Requirement already satisfied: yarl<2.0,>=1.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->openai==0.28) (1.9.4)\n",
+            "Requirement already satisfied: async-timeout<5.0,>=4.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->openai==0.28) (4.0.3)\n",
+            "Installing collected packages: openai\n",
+            "Successfully installed openai-0.28.0\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "!pip install openai==0.28\n",
+        "import openai\n",
+        "import os\n",
+        "import pandas as pd\n",
+        "\n",
+        "# کلید API خود را وارد کنید (مطمئن شوید که این کلید را مخفی نگه دارید)\n",
+        "openai.api_key = 'sk-proj-bC6H6QrP6DUqHkn5vOkYT3BlbkFJsSyvL4Bc9c3UEbHrsPMj'\n",
+        "\n",
+        "def extract_names_from_text(text):\n",
+        "    prompt = f\"\"\"\n",
+        "    از متن زیر، فقط  شغل   افراد را استخراج کنید.\n",
+        "    متن:\n",
+        "    {text}\n",
+        "    \"\"\"\n",
+        "    response = openai.ChatCompletion.create(\n",
+        "        model=\"gpt-3.5-turbo\",\n",
+        "        messages=[\n",
+        "            {\"role\": \"system\", \"content\": \"You are a helpful assistant.\"},\n",
+        "            {\"role\": \"user\", \"content\": prompt}\n",
+        "        ],\n",
+        "        max_tokens=500,\n",
+        "        n=1,\n",
+        "        stop=None,\n",
+        "        temperature=0.5,\n",
+        "    )\n",
+        "    names = response.choices[0].message['content'].strip()\n",
+        "    # Assuming names are separated by new lines\n",
+        "    return names.split('\\n')\n",
+        "\n",
+        "# مسیر پوشه‌ای که فایل‌های متنی در آن قرار دارند\n",
+        "directory_path = '/content/drive/MyDrive/Resume_txt'\n",
+        "\n",
+        "# لیستی برای ذخیره نام‌ها\n",
+        "all_names = []\n",
+        "\n",
+        "# برای هر فایل در پوشه\n",
+        "for filename in os.listdir(directory_path):\n",
+        "    if filename.endswith('.txt'):\n",
+        "        file_path = os.path.join(directory_path, filename)\n",
+        "        # خواندن محتوای فایل\n",
+        "        with open(file_path, 'r', encoding='utf-8') as file:\n",
+        "            text = file.read()\n",
+        "        # استخراج نام‌ها از متن\n",
+        "        names = extract_names_from_text(text)\n",
+        "        # اضافه کردن نام‌ها به لیست کلی\n",
+        "        all_names.extend(names)\n",
+        "\n",
+        "# ایجاد DataFrame از نام‌ها\n",
+        "df = pd.DataFrame(all_names, columns=['Name'])\n",
+        "\n",
+        "# ذخیره DataFrame به عنوان فایل اکسل\n",
+        "output_file = '/content/drive/MyDrive/job_output.xlsx'\n",
+        "df.to_excel(output_file, index=False)\n",
+        "\n",
+        "print('Names have been extracted and saved to Excel file.')"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "KNd8lqq3TX5j",
+        "outputId": "452ee8d0-e4d5-420c-dc09-e84dbb0b415a"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Requirement already satisfied: openai==0.28 in /usr/local/lib/python3.10/dist-packages (0.28.0)\n",
+            "Requirement already satisfied: requests>=2.20 in /usr/local/lib/python3.10/dist-packages (from openai==0.28) (2.31.0)\n",
+            "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from openai==0.28) (4.66.4)\n",
+            "Requirement already satisfied: aiohttp in /usr/local/lib/python3.10/dist-packages (from openai==0.28) (3.9.5)\n",
+            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests>=2.20->openai==0.28) (3.3.2)\n",
+            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.20->openai==0.28) (3.7)\n",
+            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests>=2.20->openai==0.28) (2.0.7)\n",
+            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.20->openai==0.28) (2024.6.2)\n",
+            "Requirement already satisfied: aiosignal>=1.1.2 in /usr/local/lib/python3.10/dist-packages (from aiohttp->openai==0.28) (1.3.1)\n",
+            "Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->openai==0.28) (23.2.0)\n",
+            "Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.10/dist-packages (from aiohttp->openai==0.28) (1.4.1)\n",
+            "Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.10/dist-packages (from aiohttp->openai==0.28) (6.0.5)\n",
+            "Requirement already satisfied: yarl<2.0,>=1.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->openai==0.28) (1.9.4)\n",
+            "Requirement already satisfied: async-timeout<5.0,>=4.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->openai==0.28) (4.0.3)\n",
+            "Names have been extracted and saved to Excel file.\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import openai\n",
+        "import os\n",
+        "\n",
+        "# کلید API خود را وارد کنید\n",
+        "openai.api_key = 'sk-proj-bC6H6QrP6DUqHkn5vOkYT3BlbkFJsSyvL4Bc9c3UEbHrsPMj'\n",
+        "\n",
+        "def parse_response(response_text):\n",
+        "    data = {}\n",
+        "    lines = response_text.split('\\n')\n",
+        "    for line in lines:\n",
+        "        key_value = line.split(':')\n",
+        "        if len(key_value) == 2:\n",
+        "            key, value = key_value\n",
+        "            data[key.strip()] = value.strip()\n",
+        "    return data\n",
+        "\n",
+        "def create_optimized_resume(info):\n",
+        "    prompt = f\"\"\"\n",
+        "    من اطلاعات زیر را به شما می‌دهم، لطفاً یک رزومه حرفه‌ای و منظم برای من ایجاد کنید.\n",
+        "    اطلاعات:\n",
+        "    {info}\n",
+        "    رزومه حرفه‌ای و منظم:\n",
+        "    \"\"\"\n",
+        "    response = openai.ChatCompletion.create(\n",
+        "        model=\"gpt-3.5-turbo\",\n",
+        "        messages=[\n",
+        "            {\"role\": \"system\", \"content\": \"You are a helpful assistant.\"},\n",
+        "            {\"role\": \"user\", \"content\": prompt}\n",
+        "        ],\n",
+        "        max_tokens=500,\n",
+        "        n=1,\n",
+        "        stop=None,\n",
+        "        temperature=0.5,\n",
+        "    )\n",
+        "\n",
+        "    structured_data = parse_response(response.choices[0].message['content'].strip())\n",
+        "\n",
+        "    # قالب رزومه\n",
+        "    template = \"\"\"\n",
+        "    نام: {name}\n",
+        "    سن: {age}\n",
+        "    محل اقامت: {location}\n",
+        "\n",
+        "    وضعیت تأهل: {marital_status}\n",
+        "    جنسیت: {gender}\n",
+        "    وضعیت خدمت سربازی: {military_status}\n",
+        "\n",
+        "    وضعیت شغلی: {job_status}\n",
+        "    علاقه: {interest}\n",
+        "    نوع شغل مورد نظر: {desired_job}\n",
+        "    حقوق مورد انتظار: {expected_salary}\n",
+        "\n",
+        "    تحصیلات:\n",
+        "    {education}\n",
+        "\n",
+        "    مهارت‌ها:\n",
+        "    {skills}\n",
+        "\n",
+        "    علایق شغلی:\n",
+        "    {job_interests}\n",
+        "\n",
+        "    مها��ت‌های نرم:\n",
+        "    {soft_skills}\n",
+        "\n",
+        "    زبان:\n",
+        "    {languages}\n",
+        "    \"\"\"\n",
+        "\n",
+        "    optimized_resume = template.format(\n",
+        "        name=structured_data.get('نام', 'نام وارد نشده'),\n",
+        "        age=structured_data.get('سن', 'سن وارد نشده'),\n",
+        "        location=structured_data.get('محل اقامت', 'شهر وارد نشده'),\n",
+        "        marital_status=structured_data.get('وضعیت تأهل', 'وضعیت تأهل وارد نشده'),\n",
+        "        gender=structured_data.get('جنسیت', 'جنسیت وارد نشده'),\n",
+        "        military_status=structured_data.get('وضعیت خدمت سربازی', 'وضعیت خدمت سربازی وارد نشده'),\n",
+        "        job_status=structured_data.get('وضعیت شغلی', 'وضعیت شغلی وارد نشده'),\n",
+        "        interest=structured_data.get('علاقه', 'علاقه وارد نشده'),\n",
+        "        desired_job=structured_data.get('نوع شغل مورد نظر', 'نوع شغل مورد نظر وارد نشده'),\n",
+        "        expected_salary=structured_data.get('حقوق مورد انتظار', 'حقوق وارد نشده'),\n",
+        "        education=structured_data.get('تحصیلات', 'تحصیلات وارد نشده'),\n",
+        "        skills=structured_data.get('مهارت‌ها', 'مهارت‌ها وارد نشده'),\n",
+        "        job_interests=structured_data.get('علایق شغلی', 'علایق شغلی وارد نشده'),\n",
+        "        soft_skills=structured_data.get('مهارت‌های نرم', 'مهارت‌های نرم وارد نشده'),\n",
+        "        languages=structured_data.get('زبان', 'زبان وارد نشده')\n",
+        "    )\n",
+        "\n",
+        "    return optimized_resume\n",
+        "\n",
+        "# مسیر پوشه‌ای که فایل‌های متنی در آن قرار دارند\n",
+        "directory_path = '/content/'\n",
+        "\n",
+        "# برای هر فایل در پوشه\n",
+        "for filename in os.listdir(directory_path):\n",
+        "    if filename.endswith('.txt'):\n",
+        "        file_path = os.path.join(directory_path, filename)\n",
+        "        # خواندن محتوای فایل\n",
+        "        with open(file_path, 'r', encoding='utf-8') as file:\n",
+        "            info = file.read()\n",
+        "        # ایجاد رزومه بهینه\n",
+        "        optimized_resume = create_optimized_resume(info)\n",
+        "        # ذخیره محتوای بهینه شده در همان فایل\n",
+        "        with open(file_path, 'w', encoding='utf-8') as file:\n",
+        "            file.write(optimized_resume)\n",
+        "        print(f'File {filename} has been optimized and saved.')\n",
+        "print('All files have been processed.')"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "8q8RHAprT_u1",
+        "outputId": "00b83931-d4d5-43cb-e1f4-2f9cf7bc2fc3"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "File caafc824-838e-4ebf-8ff6-d60f763f8816.txt has been optimized and saved.\n",
+            "All files have been processed.\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import openai\n",
+        "import pandas as pd\n",
+        "\n",
+        "# کلید API خود را وارد کنید (مطمئن شوید که این کلید را مخفی نگه دارید)\n",
+        "openai.api_key = 'sk-proj-bC6H6QrP6DUqHkn5vOkYT3BlbkFJsSyvL4Bc9c3UEbHrsPMj'\n",
+        "\n",
+        "def is_job(name):\n",
+        "    prompt = f\"\"\"\n",
+        "    آیا عبارت زیر نام یک معرفی تحصیلات یک فرد  است؟ فقط بله یا خیر پاسخ دهید.\n",
+        "    عبارت: {name}\n",
+        "    \"\"\"\n",
+        "    response = openai.ChatCompletion.create(\n",
+        "        model=\"gpt-3.5-turbo\",\n",
+        "        messages=[\n",
+        "            {\"role\": \"system\", \"content\": \"You are a helpful assistant.\"},\n",
+        "            {\"role\": \"user\", \"content\": prompt}\n",
+        "        ],\n",
+        "        max_tokens=5,\n",
+        "        n=1,\n",
+        "        stop=None,\n",
+        "        temperature=0,\n",
+        "    )\n",
+        "    answer = response.choices[0].message['content'].strip().lower()\n",
+        "    return 'بله' in answer or 'yes' in answer\n",
+        "\n",
+        "# مسیر فایل اکسل ورودی\n",
+        "input_file = '/content/drive/MyDrive/education_output.xlsx'\n",
+        "# مسیر فایل اکسل خروجی\n",
+        "output_file = '/content/drive/MyDrive/F_education_output.xlsx'\n",
+        "\n",
+        "# خواندن فایل اکسل\n",
+        "df = pd.read_excel(input_file)\n",
+        "\n",
+        "# فیلتر کردن سطرهایی که شامل شغل هستند\n",
+        "df['is_job'] = df['Name'].apply(is_job)\n",
+        "filtered_df = df[df['is_job'] == True].drop(columns=['is_job'])\n",
+        "\n",
+        "# ذخیره DataFrame فیلتر شده به عنوان فایل اکسل\n",
+        "filtered_df.to_excel(output_file, index=False)\n",
+        "\n",
+        "print('Filtered jobs have been saved to the output Excel file.')"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "Mpvdcd1T4YYp",
+        "outputId": "d2004d39-d4e2-4e37-993f-738b37eef9d7"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Filtered jobs have been saved to the output Excel file.\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import pandas as pd\n",
+        "\n",
+        "# مسیر فایل اکسل ورودی\n",
+        "input_file = '/content/drive/MyDrive/jobs_output.xlsx'\n",
+        "# مسیر فایل اکسل خروجی\n",
+        "output_file = '/content/drive/MyDrive/job_output_W.xlsx'\n",
+        "\n",
+        "# خواندن فایل اکسل\n",
+        "df = pd.read_excel(input_file)\n",
+        "\n",
+        "# لیستی برای ذخیره کلمات جداشده\n",
+        "separated_words = []\n",
+        "\n",
+        "# جدا کردن کلمات هر سطر و اضافه کردن به لیست\n",
+        "for row in df['Name']:\n",
+        "    words = row.split()\n",
+        "    separated_words.extend(words)\n",
+        "\n",
+        "# ایجاد DataFrame جدید از کلمات جداشده\n",
+        "new_df = pd.DataFrame(separated_words, columns=['Name'])\n",
+        "\n",
+        "# ذخیره DataFrame جدید به عنوان فایل اکسل\n",
+        "new_df.to_excel(output_file, index=False)\n",
+        "\n",
+        "print('Separated words have been saved to the output Excel file.')"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "SGAsssu3UBqV",
+        "outputId": "2c3e59cb-ea06-411f-d156-21960e84fc43"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Separated words have been saved to the output Excel file.\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [],
+      "metadata": {
+        "id": "pQEVyPv_VC72"
+      },
+      "execution_count": null,
+      "outputs": []
+    }
+  ]
+}