{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "02a2b166",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "from dotenv import load_dotenv\n",
    "from groq import Groq\n",
    "import json\n",
    "import os\n",
    "import requests\n",
    "from pypdf import PdfReader\n",
    "import gradio as gr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "5fcbdeaf",
   "metadata": {},
   "outputs": [],
   "source": [
    "load_dotenv(override= True)\n",
    "client=Groq()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "e079e799",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "if user is setu\n",
      "if user is seta\n"
     ]
    }
   ],
   "source": [
    "pushover_user=os.getenv(\"PUSHOVER_USER\")\n",
    "pushover_token=os.getenv(\"PUSHOVER_TOKEN\")\n",
    "pushover_url = \"https://api.pushover.net/1/messages.json\"\n",
    "if pushover_user:\n",
    "    print(f\"if user is set{pushover_user[0]}\")\n",
    "else:\n",
    "    print(f\"if user is not set{pushover_user[0]}\")    \n",
    "\n",
    "if pushover_token:\n",
    "    print(f\"if user is set{pushover_token[0]}\")\n",
    "else:\n",
    "    print(f\"if user is not set{pushover_token[0]}\")    \n",
    "   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "7c74d971",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Push: HEY!!\n"
     ]
    }
   ],
   "source": [
    "def push(message):\n",
    "    print(f\"Push: {message}\")\n",
    "    payload = {\"user\": pushover_user, \"token\": pushover_token, \"message\": message}\n",
    "    requests.post(pushover_url, data=payload)\n",
    "push(\"HEY!!\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "71fbae48",
   "metadata": {},
   "outputs": [],
   "source": [
    "def record_user_details(email, name=\"Name not provided\", notes=\"not provided\"):\n",
    "    push(f\"Recording interest from {name} with email {email} and notes {notes}\")\n",
    "    return {\"recorded\": \"ok\"}\n",
    "def record_unknown_questions(question):\n",
    "    push(f\"Recording {question} asked that I couldn't answer\")\n",
    "    return {\"recorded\": \"ok\"}    \n",
    "record_user_details_json = {\n",
    "    \"name\": \"record_user_details\",\n",
    "    \"description\": \"Use this tool to record that a user is interested in being in touch and provided an email address\",\n",
    "    \"parameters\": {\n",
    "        \"type\": \"object\",\n",
    "        \"properties\": {\n",
    "            \"email\": {\n",
    "                \"type\": \"string\",\n",
    "                \"description\": \"The email address of this user\"\n",
    "            },\n",
    "            \"name\": {\n",
    "                \"type\": \"string\",\n",
    "                \"description\": \"The user's name, if they provided it\"\n",
    "            }\n",
    "            ,\n",
    "            \"notes\": {\n",
    "                \"type\": \"string\",\n",
    "                \"description\": \"Any additional information about the conversation that's worth recording to give context\"\n",
    "            }\n",
    "        },\n",
    "        \"required\": [\"email\"],\n",
    "        \"additionalProperties\": False\n",
    "    }\n",
    "}   \n",
    "\n",
    "record_unknown_question_json = {\n",
    "    \"name\": \"record_unknown_questions\",\n",
    "    \"description\": \"Always use this tool to record any question that couldn't be answered as you didn't know the answer\",\n",
    "    \"parameters\": {\n",
    "        \"type\": \"object\",\n",
    "        \"properties\": {\n",
    "            \"question\": {\n",
    "                \"type\": \"string\",\n",
    "                \"description\": \"The question that couldn't be answered\"\n",
    "            },\n",
    "        },\n",
    "        \"required\": [\"question\"],\n",
    "        \"additionalProperties\": False\n",
    "    }\n",
    "}\n",
    "tools = [{\"type\": \"function\", \"function\": record_user_details_json},\n",
    "        {\"type\": \"function\", \"function\": record_unknown_question_json}]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7827db75",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'type': 'function',\n",
       "  'function': {'name': 'record_user_details',\n",
       "   'description': 'Use this tool to record that a user is interested in being in touch and provided an email address',\n",
       "   'parameters': {'type': 'object',\n",
       "    'properties': {'email': {'type': 'string',\n",
       "      'description': 'The email address of this user'},\n",
       "     'name': {'type': 'string',\n",
       "      'description': \"The user's name, if they provided it\"},\n",
       "     'notes': {'type': 'string',\n",
       "      'description': \"Any additional information about the conversation that's worth recording to give context\"}},\n",
       "    'required': ['email'],\n",
       "    'additionalProperties': False}}},\n",
       " {'type': 'function',\n",
       "  'function': {'name': 'record_unknown_question',\n",
       "   'description': \"Always use this tool to record any question that couldn't be answered as you didn't know the answer\",\n",
       "   'parameters': {'type': 'object',\n",
       "    'properties': {'question': {'type': 'string',\n",
       "      'description': \"The question that couldn't be answered\"}},\n",
       "    'required': ['question'],\n",
       "    'additionalProperties': False}}}]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tools"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "4bc6a5a4",
   "metadata": {},
   "outputs": [],
   "source": [
    "def handle_tool_calls(tool_calls):\n",
    "    results = []\n",
    "    for tool_call in tool_calls:\n",
    "        tool_name = tool_call.function.name\n",
    "        arguments = json.loads(tool_call.function.arguments)\n",
    "        print(f\"Tool called: {tool_name}\", flush=True)\n",
    "\n",
    "\n",
    "        if tool_name == \"record_user_details\":\n",
    "            result = record_user_details(**arguments)\n",
    "        elif tool_name == \"record_unknown_question\":\n",
    "            result = record_unknown_questions(**arguments)\n",
    "\n",
    "        results.append({\"role\": \"tool\",\"content\": json.dumps(result),\"tool_call_id\": tool_call.id})\n",
    "    return results\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "8dc0021c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Push: Recording this is a really hard question asked that I couldn't answer\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'recorded': 'ok'}"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "globals()[\"record_unknown_questions\"](\"this is a really hard question\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "53737a55",
   "metadata": {},
   "outputs": [
    {
     "ename": "FileNotFoundError",
     "evalue": "[Errno 2] No such file or directory: 'mine/Pavan_Kumar_resume.pdf'",
     "output_type": "error",
     "traceback": [
      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
      "\u001b[31mFileNotFoundError\u001b[39m                         Traceback (most recent call last)",
      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[23]\u001b[39m\u001b[32m, line 1\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m1\u001b[39m reader = \u001b[43mPdfReader\u001b[49m\u001b[43m(\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mmine/Pavan_Kumar_resume.pdf\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[32m      2\u001b[39m linkedin = \u001b[33m\"\u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m      3\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m page \u001b[38;5;129;01min\u001b[39;00m reader.pages:\n",
      "\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\govindh vaila\\projects\\agents\\.venv\\Lib\\site-packages\\pypdf\\_reader.py:131\u001b[39m, in \u001b[36mPdfReader.__init__\u001b[39m\u001b[34m(self, stream, strict, password)\u001b[39m\n\u001b[32m    127\u001b[39m \u001b[38;5;28mself\u001b[39m._page_id2num: Optional[\u001b[38;5;28mdict\u001b[39m[Any, Any]] = \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[32m    129\u001b[39m \u001b[38;5;28mself\u001b[39m._validated_root: Optional[DictionaryObject] = \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[32m--> \u001b[39m\u001b[32m131\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43m_initialize_stream\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstream\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m    132\u001b[39m \u001b[38;5;28mself\u001b[39m._known_objects: \u001b[38;5;28mset\u001b[39m[\u001b[38;5;28mtuple\u001b[39m[\u001b[38;5;28mint\u001b[39m, \u001b[38;5;28mint\u001b[39m]] = \u001b[38;5;28mset\u001b[39m()\n\u001b[32m    134\u001b[39m \u001b[38;5;28mself\u001b[39m._override_encryption = \u001b[38;5;28;01mFalse\u001b[39;00m\n",
      "\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\govindh vaila\\projects\\agents\\.venv\\Lib\\site-packages\\pypdf\\_reader.py:150\u001b[39m, in \u001b[36mPdfReader._initialize_stream\u001b[39m\u001b[34m(self, stream)\u001b[39m\n\u001b[32m    148\u001b[39m \u001b[38;5;28mself\u001b[39m._stream_opened = \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[32m    149\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(stream, (\u001b[38;5;28mstr\u001b[39m, Path)):\n\u001b[32m--> \u001b[39m\u001b[32m150\u001b[39m     \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mstream\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43mrb\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mas\u001b[39;00m fh:\n\u001b[32m    151\u001b[39m         stream = BytesIO(fh.read())\n\u001b[32m    152\u001b[39m     \u001b[38;5;28mself\u001b[39m._stream_opened = \u001b[38;5;28;01mTrue\u001b[39;00m\n",
      "\u001b[31mFileNotFoundError\u001b[39m: [Errno 2] No such file or directory: 'mine/Pavan_Kumar_resume.pdf'"
     ]
    }
   ],
   "source": [
    "reader = PdfReader(\"mine/Pavan.pdf\")\n",
    "linkedin = \"\"\n",
    "for page in reader.pages:\n",
    "    text = page.extract_text()\n",
    "    if text:\n",
    "        linkedin += text\n",
    "\n",
    "with open(\"me/summary.txt\", \"r\", encoding=\"utf-8\") as f:\n",
    "    summary = f.read()\n",
    "\n",
    "name = \"Pavan\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "36c04e4f",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1d73796f",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "language_info": {
   "codemirror_mode": {
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