TestingOCRDocument.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "driving-selling",
   "metadata": {},
   "outputs": [],
   "source": [
    "from google.oauth2 import service_account\n",
    "import io\n",
    "APIKEY = \"AIzaSyDeFGtnonRCKTDloONt24tc6SP3pPqaIsg\"\n",
    "project_id= \"292730185360\"\n",
    "location = 'us' # Format is 'us' or 'eu'\n",
    "processor_id = 'f63982a32a72f28d' # Create processor in Cloud Console\n",
    "file_path = \"/Users/kunal/Documents/AAPersonalAIPROJECT/HATCH/DomoArigatoSurveyNew.pdf\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "designing-accuracy",
   "metadata": {},
   "outputs": [],
   "source": [
    "from google.cloud import documentai_v1 as documentai"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "outstanding-breakfast",
   "metadata": {},
   "outputs": [],
   "source": [
    "# You must set the api_endpoint if you use a location other than 'us', e.g.:\n",
    "opts = {}\n",
    "if location == \"us\":\n",
    "    opts = {\"api_endpoint\": \"us-documentai.googleapis.com\"}\n",
    "credentials = service_account.Credentials.from_service_account_file(\"/Users/kunal/Documents/AAPersonalAIPROJECT/HATCH/key.json\")\n",
    "client = documentai.DocumentProcessorServiceClient(client_options=opts,credentials=credentials)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "bibliographic-accused",
   "metadata": {},
   "outputs": [
    {
     "ename": "InvalidArgument",
     "evalue": "400 Request contains an invalid argument.",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31m_InactiveRpcError\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\google\\api_core\\grpc_helpers.py\u001b[0m in \u001b[0;36merror_remapped_callable\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m     56\u001b[0m         \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 57\u001b[1;33m             \u001b[1;32mreturn\u001b[0m \u001b[0mcallable_\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     58\u001b[0m         \u001b[1;32mexcept\u001b[0m \u001b[0mgrpc\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mRpcError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mexc\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\grpc\\_channel.py\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, request, timeout, metadata, credentials, wait_for_ready, compression)\u001b[0m\n\u001b[0;32m    922\u001b[0m                                       wait_for_ready, compression)\n\u001b[1;32m--> 923\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0m_end_unary_response_blocking\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mstate\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcall\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;32mFalse\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    924\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\grpc\\_channel.py\u001b[0m in \u001b[0;36m_end_unary_response_blocking\u001b[1;34m(state, call, with_call, deadline)\u001b[0m\n\u001b[0;32m    825\u001b[0m     \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 826\u001b[1;33m         \u001b[1;32mraise\u001b[0m \u001b[0m_InactiveRpcError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mstate\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    827\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31m_InactiveRpcError\u001b[0m: <_InactiveRpcError of RPC that terminated with:\n\tstatus = StatusCode.INVALID_ARGUMENT\n\tdetails = \"Request contains an invalid argument.\"\n\tdebug_error_string = \"{\"created\":\"@1618813436.632000000\",\"description\":\"Error received from peer ipv6:[2607:f8b0:4002:c09::5f]:443\",\"file\":\"src/core/lib/surface/call.cc\",\"file_line\":1062,\"grpc_message\":\"Request contains an invalid argument.\",\"grpc_status\":3}\"\n>",
      "\nThe above exception was the direct cause of the following exception:\n",
      "\u001b[1;31mInvalidArgument\u001b[0m                           Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-30-c7ad8a3ca6b2>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m     14\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     15\u001b[0m \u001b[1;31m# Recognizes text entities in the PDF document\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 16\u001b[1;33m \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mclient\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mprocess_document\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     17\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     18\u001b[0m \u001b[0mdocument\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mresult\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdocument\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\google\\cloud\\documentai_v1\\services\\document_processor_service\\client.py\u001b[0m in \u001b[0;36mprocess_document\u001b[1;34m(self, request, name, retry, timeout, metadata)\u001b[0m\n\u001b[0;32m    438\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    439\u001b[0m         \u001b[1;31m# Send the request.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 440\u001b[1;33m         \u001b[0mresponse\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mrpc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mretry\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mretry\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmetadata\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mmetadata\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    441\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    442\u001b[0m         \u001b[1;31m# Done; return the response.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\google\\api_core\\gapic_v1\\method.py\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m    143\u001b[0m             \u001b[0mkwargs\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m\"metadata\"\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mmetadata\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    144\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 145\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mwrapped_func\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    146\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    147\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\google\\api_core\\retry.py\u001b[0m in \u001b[0;36mretry_wrapped_func\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m    279\u001b[0m                 \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_initial\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_maximum\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmultiplier\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_multiplier\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    280\u001b[0m             )\n\u001b[1;32m--> 281\u001b[1;33m             return retry_target(\n\u001b[0m\u001b[0;32m    282\u001b[0m                 \u001b[0mtarget\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    283\u001b[0m                 \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_predicate\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\google\\api_core\\retry.py\u001b[0m in \u001b[0;36mretry_target\u001b[1;34m(target, predicate, sleep_generator, deadline, on_error)\u001b[0m\n\u001b[0;32m    182\u001b[0m     \u001b[1;32mfor\u001b[0m \u001b[0msleep\u001b[0m \u001b[1;32min\u001b[0m \u001b[0msleep_generator\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    183\u001b[0m         \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 184\u001b[1;33m             \u001b[1;32mreturn\u001b[0m \u001b[0mtarget\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    185\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    186\u001b[0m         \u001b[1;31m# pylint: disable=broad-except\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\google\\api_core\\grpc_helpers.py\u001b[0m in \u001b[0;36merror_remapped_callable\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m     57\u001b[0m             \u001b[1;32mreturn\u001b[0m \u001b[0mcallable_\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     58\u001b[0m         \u001b[1;32mexcept\u001b[0m \u001b[0mgrpc\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mRpcError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mexc\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 59\u001b[1;33m             \u001b[0msix\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mraise_from\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mexceptions\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfrom_grpc_error\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mexc\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mexc\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     60\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     61\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0merror_remapped_callable\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\six.py\u001b[0m in \u001b[0;36mraise_from\u001b[1;34m(value, from_value)\u001b[0m\n",
      "\u001b[1;31mInvalidArgument\u001b[0m: 400 Request contains an invalid argument."
     ]
    }
   ],
   "source": [
    "# The full resource name of the processor, e.g.:\n",
    "# projects/project-id/locations/location/processor/processor-id\n",
    "# You must create new processors in the Cloud Console first\n",
    "name = \"projects/292730185360/locations/us/processors/f63982a32a72f28d\"\n",
    "\n",
    "with open(file_path, \"rb\") as image:\n",
    "    image_content = image.read()\n",
    "\n",
    "# Read the file into memory\n",
    "document = {\"content\": image_content, \"mime_type\": \"application/pdf\"}\n",
    "\n",
    "# Configure the process request\n",
    "request = {\"name\": name, \"raw_document\": document}\n",
    "\n",
    "# Recognizes text entities in the PDF document\n",
    "result = client.process_document(request=request)\n",
    "\n",
    "document = result.document\n",
    "\n",
    "print(\"Document processing complete.\")\n",
    "\n",
    "# For a full list of Document object attributes, please reference this page: https://googleapis.dev/python/documentai/latest/_modules/google/cloud/documentai_v1beta3/types/document.html#Document\n",
    "\n",
    "document_pages = document.pages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "advance-thong",
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'st' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-29-0c60f2fa37ff>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;31m# Read the text recognition output from the processor\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mst\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mwrite\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"The document contains the following paragraphs:\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      3\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mpage\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mdocument_pages\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      4\u001b[0m     \u001b[0mparagraphs\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpage\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mparagraphs\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m     \u001b[1;32mfor\u001b[0m \u001b[0mparagraph\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mparagraphs\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mNameError\u001b[0m: name 'st' is not defined"
     ]
    }
   ],
   "source": [
    "# Read the text recognition output from the processor\n",
    "st.write(\"The document contains the following paragraphs:\")\n",
    "for page in document_pages:\n",
    "    paragraphs = page.paragraphs\n",
    "    for paragraph in paragraphs:\n",
    "        paragraph_text = get_text(paragraph.layout, document)\n",
    "        st.write(f\"Paragraph text: {paragraph_text}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "corrected-stephen",
   "metadata": {},
   "outputs": [],
   "source": [
    "from google.cloud import documentai_v1beta2 as documentai\n",
    "\n",
    "\n",
    "def main(\n",
    "    project_id=\"292730185360\",\n",
    "    input_uri=\"gs://cloud-samples-data/documentai/invoice.pdf\",\n",
    "):\n",
    "    \"\"\"Process a single document with the Document AI API, including\n",
    "    text extraction and entity extraction.\"\"\"\n",
    "\n",
    "    client = documentai.DocumentUnderstandingServiceClient()\n",
    "\n",
    "    gcs_source = documentai.types.GcsSource(uri=input_uri)\n",
    "\n",
    "    # mime_type can be application/pdf, image/tiff,\n",
    "    # and image/gif, or application/json\n",
    "    input_config = documentai.types.InputConfig(\n",
    "        gcs_source=gcs_source, mime_type=\"application/pdf\"\n",
    "    )\n",
    "\n",
    "    # Location can be 'us' or 'eu'\n",
    "    parent = \"projects/{}/locations/us\".format(project_id)\n",
    "    request = documentai.types.ProcessDocumentRequest(\n",
    "        parent=parent, input_config=input_config\n",
    "    )\n",
    "\n",
    "    document = client.process_document(request=request)\n",
    "\n",
    "    # All text extracted from the document\n",
    "    print(\"Document Text: {}\".format(document.text))\n",
    "\n",
    "    def _get_text(el):\n",
    "        \"\"\"Convert text offset indexes into text snippets.\"\"\"\n",
    "        response = \"\"\n",
    "        # If a text segment spans several lines, it will\n",
    "        # be stored in different text segments.\n",
    "        for segment in el.text_anchor.text_segments:\n",
    "            start_index = segment.start_index\n",
    "            end_index = segment.end_index\n",
    "            response += document.text[start_index:end_index]\n",
    "        return response\n",
    "\n",
    "    for entity in document.entities:\n",
    "        print(\"Entity type: {}\".format(entity.type_))\n",
    "        print(\"Text: {}\".format(_get_text(entity)))\n",
    "        print(\"Mention text: {}\\n\".format(entity.mention_text))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "identified-guess",
   "metadata": {},
   "outputs": [
    {
     "ename": "PermissionDenied",
     "evalue": "403 The client project (hatch-311000), does not match the project id in the request: 292730185360",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31m_InactiveRpcError\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\google\\api_core\\grpc_helpers.py\u001b[0m in \u001b[0;36merror_remapped_callable\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m     56\u001b[0m         \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 57\u001b[1;33m             \u001b[1;32mreturn\u001b[0m \u001b[0mcallable_\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     58\u001b[0m         \u001b[1;32mexcept\u001b[0m \u001b[0mgrpc\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mRpcError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mexc\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\grpc\\_channel.py\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, request, timeout, metadata, credentials, wait_for_ready, compression)\u001b[0m\n\u001b[0;32m    922\u001b[0m                                       wait_for_ready, compression)\n\u001b[1;32m--> 923\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0m_end_unary_response_blocking\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mstate\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcall\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;32mFalse\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    924\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\grpc\\_channel.py\u001b[0m in \u001b[0;36m_end_unary_response_blocking\u001b[1;34m(state, call, with_call, deadline)\u001b[0m\n\u001b[0;32m    825\u001b[0m     \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 826\u001b[1;33m         \u001b[1;32mraise\u001b[0m \u001b[0m_InactiveRpcError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mstate\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    827\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31m_InactiveRpcError\u001b[0m: <_InactiveRpcError of RPC that terminated with:\n\tstatus = StatusCode.PERMISSION_DENIED\n\tdetails = \"The client project (hatch-311000), does not match the project id in the request: 292730185360\"\n\tdebug_error_string = \"{\"created\":\"@1618813905.270000000\",\"description\":\"Error received from peer ipv6:[2607:f8b0:4002:c02::5f]:443\",\"file\":\"src/core/lib/surface/call.cc\",\"file_line\":1062,\"grpc_message\":\"The client project (hatch-311000), does not match the project id in the request: 292730185360\",\"grpc_status\":7}\"\n>",
      "\nThe above exception was the direct cause of the following exception:\n",
      "\u001b[1;31mPermissionDenied\u001b[0m                          Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-42-263240bbee7e>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mmain\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32m<ipython-input-41-6dd7aaef3f64>\u001b[0m in \u001b[0;36mmain\u001b[1;34m(project_id, input_uri)\u001b[0m\n\u001b[0;32m     25\u001b[0m     )\n\u001b[0;32m     26\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 27\u001b[1;33m     \u001b[0mdocument\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mclient\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mprocess_document\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     28\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     29\u001b[0m     \u001b[1;31m# All text extracted from the document\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\google\\cloud\\documentai_v1beta2\\services\\document_understanding_service\\client.py\u001b[0m in \u001b[0;36mprocess_document\u001b[1;34m(self, request, retry, timeout, metadata)\u001b[0m\n\u001b[0;32m    477\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    478\u001b[0m         \u001b[1;31m# Send the request.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 479\u001b[1;33m         \u001b[0mresponse\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mrpc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mretry\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mretry\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmetadata\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mmetadata\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    480\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    481\u001b[0m         \u001b[1;31m# Done; return the response.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\google\\api_core\\gapic_v1\\method.py\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m    143\u001b[0m             \u001b[0mkwargs\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m\"metadata\"\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mmetadata\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    144\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 145\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mwrapped_func\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    146\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    147\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\google\\api_core\\retry.py\u001b[0m in \u001b[0;36mretry_wrapped_func\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m    279\u001b[0m                 \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_initial\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_maximum\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmultiplier\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_multiplier\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    280\u001b[0m             )\n\u001b[1;32m--> 281\u001b[1;33m             return retry_target(\n\u001b[0m\u001b[0;32m    282\u001b[0m                 \u001b[0mtarget\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    283\u001b[0m                 \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_predicate\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\google\\api_core\\retry.py\u001b[0m in \u001b[0;36mretry_target\u001b[1;34m(target, predicate, sleep_generator, deadline, on_error)\u001b[0m\n\u001b[0;32m    182\u001b[0m     \u001b[1;32mfor\u001b[0m \u001b[0msleep\u001b[0m \u001b[1;32min\u001b[0m \u001b[0msleep_generator\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    183\u001b[0m         \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 184\u001b[1;33m             \u001b[1;32mreturn\u001b[0m \u001b[0mtarget\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    185\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    186\u001b[0m         \u001b[1;31m# pylint: disable=broad-except\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\google\\api_core\\grpc_helpers.py\u001b[0m in \u001b[0;36merror_remapped_callable\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m     57\u001b[0m             \u001b[1;32mreturn\u001b[0m \u001b[0mcallable_\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     58\u001b[0m         \u001b[1;32mexcept\u001b[0m \u001b[0mgrpc\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mRpcError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mexc\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 59\u001b[1;33m             \u001b[0msix\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mraise_from\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mexceptions\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfrom_grpc_error\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mexc\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mexc\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     60\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     61\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0merror_remapped_callable\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\six.py\u001b[0m in \u001b[0;36mraise_from\u001b[1;34m(value, from_value)\u001b[0m\n",
      "\u001b[1;31mPermissionDenied\u001b[0m: 403 The client project (hatch-311000), does not match the project id in the request: 292730185360"
     ]
    }
   ],
   "source": [
    "main()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "collaborative-european",
   "metadata": {},
   "outputs": [],
   "source": [
    "project_id= '292730185360' \n",
    "location = 'us' # Format is 'us' or 'eu'\n",
    "processor_id = '995321df6c898af1' # Create processor in Cloud Console\n",
    "file_path = \"/Users/kunal/Documents/AAPersonalAIPROJECT/HATCH/DomoArigatoSurveyNew.pdf\" # The local file in your current working directory\n",
    "\n",
    "from google.cloud import documentai_v1beta3 as documentai\n",
    "from google.cloud import storage\n",
    "\n",
    "def process_document(\n",
    "    project_id=project_id, location=location, processor_id=processor_id,  file_path=file_path\n",
    "):\n",
    "\n",
    "    # Instantiates a client\n",
    "    client = documentai.DocumentProcessorServiceClient()\n",
    "    #credentials = service_account.Credentials.from_service_account_file(\"/Users/kunal/Documents/AAPersonalAIPROJECT/HATCH/key.json\")\n",
    "    #client = documentai.DocumentProcessorServiceClient(credentials=credentials)\n",
    "    # The full resource name of the processor, e.g.:\n",
    "    # projects/project-id/locations/location/processor/processor-id\n",
    "    # You must create new processors in the Cloud Console first\n",
    "    name = f\"projects/{project_id}/locations/{location}/processors/{processor_id}\"\n",
    "\n",
    "    with open(file_path, \"rb\") as image:\n",
    "        image_content = image.read()\n",
    "    \n",
    "    # Read the file into memory\n",
    "    document = {\"content\": image_content, \"mime_type\": \"application/pdf\"}\n",
    "\n",
    "    # Configure the process request\n",
    "    request = {\"name\": name, \"document\": document}\n",
    "\n",
    "    # Use the Document AI client to process the sample form\n",
    "    result = client.process_document(request=request)\n",
    "\n",
    "    document = result.document\n",
    "    document_text = document.text\n",
    "    print(\"Document processing complete.\")\n",
    "    print(\"Text: {}\".format(document_text)) \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "hawaiian-mortality",
   "metadata": {},
   "outputs": [
    {
     "ename": "PermissionDenied",
     "evalue": "403 Permission 'documentai.processors.processOnline' denied on resource '//documentai.googleapis.com/projects/292730185360/locations/us/processors/995321df6c898af1' (or it may not exist).",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31m_InactiveRpcError\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\google\\api_core\\grpc_helpers.py\u001b[0m in \u001b[0;36merror_remapped_callable\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m     56\u001b[0m         \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 57\u001b[1;33m             \u001b[1;32mreturn\u001b[0m \u001b[0mcallable_\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     58\u001b[0m         \u001b[1;32mexcept\u001b[0m \u001b[0mgrpc\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mRpcError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mexc\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\grpc\\_channel.py\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, request, timeout, metadata, credentials, wait_for_ready, compression)\u001b[0m\n\u001b[0;32m    922\u001b[0m                                       wait_for_ready, compression)\n\u001b[1;32m--> 923\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0m_end_unary_response_blocking\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mstate\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcall\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;32mFalse\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    924\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\grpc\\_channel.py\u001b[0m in \u001b[0;36m_end_unary_response_blocking\u001b[1;34m(state, call, with_call, deadline)\u001b[0m\n\u001b[0;32m    825\u001b[0m     \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 826\u001b[1;33m         \u001b[1;32mraise\u001b[0m \u001b[0m_InactiveRpcError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mstate\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    827\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31m_InactiveRpcError\u001b[0m: <_InactiveRpcError of RPC that terminated with:\n\tstatus = StatusCode.PERMISSION_DENIED\n\tdetails = \"Permission 'documentai.processors.processOnline' denied on resource '//documentai.googleapis.com/projects/292730185360/locations/us/processors/995321df6c898af1' (or it may not exist).\"\n\tdebug_error_string = \"{\"created\":\"@1618813801.553000000\",\"description\":\"Error received from peer ipv6:[2607:f8b0:4002:c02::5f]:443\",\"file\":\"src/core/lib/surface/call.cc\",\"file_line\":1062,\"grpc_message\":\"Permission 'documentai.processors.processOnline' denied on resource '//documentai.googleapis.com/projects/292730185360/locations/us/processors/995321df6c898af1' (or it may not exist).\",\"grpc_status\":7}\"\n>",
      "\nThe above exception was the direct cause of the following exception:\n",
      "\u001b[1;31mPermissionDenied\u001b[0m                          Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-40-f53656c912b6>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mprocess_document\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32m<ipython-input-39-562d91d514bc>\u001b[0m in \u001b[0;36mprocess_document\u001b[1;34m(project_id, location, processor_id, file_path)\u001b[0m\n\u001b[0;32m     30\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     31\u001b[0m     \u001b[1;31m# Use the Document AI client to process the sample form\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 32\u001b[1;33m     \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mclient\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mprocess_document\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     33\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     34\u001b[0m     \u001b[0mdocument\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mresult\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdocument\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\google\\cloud\\documentai_v1beta3\\services\\document_processor_service\\client.py\u001b[0m in \u001b[0;36mprocess_document\u001b[1;34m(self, request, name, retry, timeout, metadata)\u001b[0m\n\u001b[0;32m    438\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    439\u001b[0m         \u001b[1;31m# Send the request.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 440\u001b[1;33m         \u001b[0mresponse\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mrpc\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mretry\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mretry\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmetadata\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mmetadata\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    441\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    442\u001b[0m         \u001b[1;31m# Done; return the response.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\google\\api_core\\gapic_v1\\method.py\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m    143\u001b[0m             \u001b[0mkwargs\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m\"metadata\"\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mmetadata\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    144\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 145\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0mwrapped_func\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    146\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    147\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\google\\api_core\\retry.py\u001b[0m in \u001b[0;36mretry_wrapped_func\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m    279\u001b[0m                 \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_initial\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_maximum\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmultiplier\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_multiplier\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    280\u001b[0m             )\n\u001b[1;32m--> 281\u001b[1;33m             return retry_target(\n\u001b[0m\u001b[0;32m    282\u001b[0m                 \u001b[0mtarget\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    283\u001b[0m                 \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_predicate\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\google\\api_core\\retry.py\u001b[0m in \u001b[0;36mretry_target\u001b[1;34m(target, predicate, sleep_generator, deadline, on_error)\u001b[0m\n\u001b[0;32m    182\u001b[0m     \u001b[1;32mfor\u001b[0m \u001b[0msleep\u001b[0m \u001b[1;32min\u001b[0m \u001b[0msleep_generator\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    183\u001b[0m         \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 184\u001b[1;33m             \u001b[1;32mreturn\u001b[0m \u001b[0mtarget\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    185\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    186\u001b[0m         \u001b[1;31m# pylint: disable=broad-except\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\google\\api_core\\grpc_helpers.py\u001b[0m in \u001b[0;36merror_remapped_callable\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m     57\u001b[0m             \u001b[1;32mreturn\u001b[0m \u001b[0mcallable_\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     58\u001b[0m         \u001b[1;32mexcept\u001b[0m \u001b[0mgrpc\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mRpcError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mexc\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 59\u001b[1;33m             \u001b[0msix\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mraise_from\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mexceptions\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfrom_grpc_error\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mexc\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mexc\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     60\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     61\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0merror_remapped_callable\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\six.py\u001b[0m in \u001b[0;36mraise_from\u001b[1;34m(value, from_value)\u001b[0m\n",
      "\u001b[1;31mPermissionDenied\u001b[0m: 403 Permission 'documentai.processors.processOnline' denied on resource '//documentai.googleapis.com/projects/292730185360/locations/us/processors/995321df6c898af1' (or it may not exist)."
     ]
    }
   ],
   "source": [
    "process_document()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "sufficient-refund",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "credential_path = \"/Users/kunal/Documents/AAPersonalAIPROJECT/HATCH/key.json\"\n",
    "os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = credential_path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "innovative-aerospace",
   "metadata": {},
   "outputs": [],
   "source": [
    "import boto3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "infinite-insert",
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "'KMS' object has no attribute 'analyze_document'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-49-8ad96676f7d9>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[0mclient\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mboto3\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mclient\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'kms'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mregion_name\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'us-west-2'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mresponse\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mclient\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0manalyze_document\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mDocument\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m{\u001b[0m\u001b[1;34m'Bytes'\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mbytes_test\u001b[0m\u001b[1;33m}\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mFeatureTypes\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'FORMS'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32mc:\\users\\kunal\\appdata\\local\\programs\\python\\python38\\lib\\site-packages\\botocore\\client.py\u001b[0m in \u001b[0;36m__getattr__\u001b[1;34m(self, item)\u001b[0m\n\u001b[0;32m    612\u001b[0m             \u001b[1;32mreturn\u001b[0m \u001b[0mevent_response\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    613\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 614\u001b[1;33m         raise AttributeError(\n\u001b[0m\u001b[0;32m    615\u001b[0m             \"'%s' object has no attribute '%s'\" % (\n\u001b[0;32m    616\u001b[0m                 self.__class__.__name__, item)\n",
      "\u001b[1;31mAttributeError\u001b[0m: 'KMS' object has no attribute 'analyze_document'"
     ]
    }
   ],
   "source": [
    "client = boto3.client('kms', region_name='us-west-2')\n",
    "response = client.analyze_document(Document={'Bytes': bytes_test}, FeatureTypes=['FORMS'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "acknowledged-wisconsin",
   "metadata": {},
   "outputs": [],
   "source": [
    "credentials = service_account.Credentials.from_service_account_file(keyDIRDocumentAI) #using service account to go through google\n",
    "client = documentai.DocumentUnderstandingServiceClient(credentials=credentials)\n",
    "gcs_source = documentai.types.GcsSource(uri=\"gs://document_ai_resume/Document_402.pdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "prostate-button",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# mime_type can be application/pdf, image/tiff,\n",
    "# and image/gif, or application/json\n",
    "input_config = documentai.types.InputConfig(gcs_source=gcs_source, mime_type='application/pdf')\n",
    "def _get_text(el, document):\n",
    "    \"\"\"Doc AI identifies form fields by their offsets\n",
    "    in document text. This function converts offsets\n",
    "    to text snippets.\n",
    "    \"\"\"\n",
    "    response = ''\n",
    "    # If a text segment spans several lines, it will\n",
    "    # be stored in different text segments.\n",
    "    for segment in el.text_anchor.text_segments:\n",
    "        start_index = segment.start_index\n",
    "        end_index = segment.end_index\n",
    "        response += document.text[start_index:end_index]\n",
    "    return response\n",
    "# Setting enabled=True enables form extraction\n",
    "table_extraction_params = documentai.types.TableExtractionParams(enabled=True)\n",
    "# Location can be 'us' or 'eu'\n",
    "parent = 'projects/{}/locations/us'.format(\"resumematcher\")\n",
    "request = documentai.types.ProcessDocumentRequest(\n",
    "    parent=parent,\n",
    "    input_config=input_config,\n",
    "    table_extraction_params=table_extraction_params)\n",
    "document = client.process_document(request=request)\n",
    "documentFormParser = document\n",
    "\n",
    "dfArray = []\n",
    "tableGroups = []\n",
    "for page in document.pages:\n",
    "    tablesPerPage = []\n",
    "    dfArray.append('Page number: {}'.format(page.page_number))\n",
    "    for table_num, table in enumerate(page.tables):\n",
    "        dfArray.append('Table {}: '.format(table_num))\n",
    "        singleTable = []\n",
    "        for row_num, row in enumerate(table.header_rows):\n",
    "            cells = ''.join([_get_text(cell.layout, documentFormParser) for cell in row.cells])\n",
    "            dfArray.append('Header Row {}: {}'.format(row_num, cells))\n",
    "            singleTable.append([\"Header\",row_num,cells])\n",
    "        for row_num, row in enumerate(table.body_rows):\n",
    "            cells = ''.join([_get_text(cell.layout, documentFormParser) for cell in row.cells])\n",
    "            dfArray.append('Row {}: {}'.format(row_num, cells))\n",
    "            singleTable.append([\"Row\", row_num, cells])\n",
    "        tablesPerPage.append([singleTable, table_num])\n",
    "    tableGroups.append([tablesPerPage, page.page_number])\n",
    "\n",
    "dfTables = pd.DataFrame(dfArray)\n",
    "\n",
    "form_extraction_params = documentai.types.FormExtractionParams(enabled=True) # key_value_pair_hints=key_value_pair_hints\n",
    "\n",
    "# Location can be 'us' or 'eu'\n",
    "parent = 'projects/{}/locations/us'.format(\"resumematcher\")\n",
    "request = documentai.types.ProcessDocumentRequest(\n",
    "    parent=parent,\n",
    "    input_config=input_config,\n",
    "    form_extraction_params=form_extraction_params)\n",
    "\n",
    "documentFormParser = client.process_document(request=request)\n",
    "\n",
    "def findEntitiesDocumentAIG(documentFormParser):\n",
    "    entitiesDetectedGoogleDocumentAI = []\n",
    "    #print(\"URI INFO: {}\".format(documentFormParser.uri))\n",
    "    #print(\"Text detected (first 100): {}\".format(documentFormParser.text[:100]))\n",
    "    for ent in documentFormParser.entities:\n",
    "        #print(\"Entity {}: {} \\n\\tConifd: {}\".format(ent.mention_id, ent.mention_text, ent.confidence))\n",
    "        ctDetected = 1\n",
    "        tempPositions = []\n",
    "        for position in ent.text_anchor.text_segments:\n",
    "            #print(\"\\tDetected {}: {} -- {}\".format(ctDetected, position.start_index, position.end_index))\n",
    "            tempPositions.append([ctDetected, position.start_index, position.end_index])\n",
    "            ctDetected+=1\n",
    "        entitiesDetectedGoogleDocumentAI.append([ent.mention_text, ent.confidence, tempPositions])\n",
    "        #print(\"\\n\")\n",
    "    return entitiesDetectedGoogleDocumentAI\n",
    "entitiesDetectedGoogleDocumentAI = findEntitiesDocumentAIG(documentFormParser)\n",
    "dfEntitiesDocumentAI =  pd.DataFrame(entitiesDetectedGoogleDocumentAI, columns=[\"Entity\", \"Percent Accurate\", \"[Number of Times detected, Start Index, End Index]\"])\n",
    "\n",
    "formParserTotal = []\n",
    "for page in documentFormParser.pages:\n",
    "    #print('Page number: {}'.format(page.page_number))\n",
    "    for form_field in page.form_fields:\n",
    "        #print('Field Name: {}\\tConfidence: {}'.format(\n",
    "            #_get_text(form_field.field_name, documentFormParser),\n",
    "            #form_field.field_name.confidence))\n",
    "        #print('Field Value: {}\\tConfidence: {}'.format(\n",
    "            #_get_text(form_field.field_value, documentFormParser),\n",
    "            #form_field.field_value.confidence))\n",
    "        formParserTotal.append([_get_text(form_field.field_name, documentFormParser),\n",
    "                                _get_text(form_field.field_value, documentFormParser), form_field.field_name.confidence,\n",
    "                                page.page_number])\n",
    "dfentityKEYValeuDoocumentAI = pd.DataFrame(formParserTotal, columns=[\"Key\",\"Value\", \"Percent Accurate\", \"Page #\"])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "possible-bishop",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "afraid-border",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "respiratory-movement",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/Users/kunal/Documents/AAPersonalAIPROJECT/HATCH/DomoArigatoSurveyNew.pdf'"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "file_path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "attended-polish",
   "metadata": {},
   "outputs": [],
   "source": [
    "from pdf2image import convert_from_path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "minimal-abortion",
   "metadata": {},
   "outputs": [],
   "source": [
    "pdfIMGPopplerPath = '/Users/kunal/Documents/AAPersonalAIPROJECT/HATCH/Poppler/poppler-0.68.0_x86/poppler-0.68.0/bin/'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "heard-morning",
   "metadata": {},
   "outputs": [],
   "source": [
    "def convert_pdf_2_image(filePath):\n",
    "    #os.chdir(os.path.dirname(filePath))\n",
    "    uploaded_file = filePath\n",
    "    output_file = str(uploaded_file).replace('.pdf','')\n",
    "    pages = convert_from_path(uploaded_file, 200,poppler_path=pdfIMGPopplerPath)\n",
    "    pageCount = 1\n",
    "    #if len(pages) != 1:\n",
    "        #raise Exception (\"Some of the code is not compatable for multiple pages\")\n",
    "    for page in pages:\n",
    "        page.save(output_file + \"_\" + str(pageCount) + \".jpg\", 'JPEG')\n",
    "        print(\"Saved Image\" + output_file + \"_\" + str(pageCount) + \".jpg\")\n",
    "        pageCount+=1\n",
    "    return output_file + \"_1.jpg\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "rotary-sport",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved Image/Users/kunal/Documents/AAPersonalAIPROJECT/HATCH/DomoArigatoSurveyNew_1.jpg\n",
      "Saved Image/Users/kunal/Documents/AAPersonalAIPROJECT/HATCH/DomoArigatoSurveyNew_2.jpg\n",
      "Saved Image/Users/kunal/Documents/AAPersonalAIPROJECT/HATCH/DomoArigatoSurveyNew_3.jpg\n",
      "Saved Image/Users/kunal/Documents/AAPersonalAIPROJECT/HATCH/DomoArigatoSurveyNew_4.jpg\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'/Users/kunal/Documents/AAPersonalAIPROJECT/HATCH/DomoArigatoSurveyNew_1.jpg'"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "convert_pdf_2_image(file_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "broad-myanmar",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Block confidence: 0.9800000190734863\n",
      "\n",
      "Paragraph confidence: 0.9900000095367432\n",
      "Word text: * (confidence: 0.9900000095367432)\n",
      "\tSymbol: * (confidence: 0.9900000095367432)\n",
      "Word text: 1. (confidence: 0.9900000095367432)\n",
      "\tSymbol: 1 (confidence: 0.9900000095367432)\n",
      "\tSymbol: . (confidence: 0.9900000095367432)\n",
      "Word text: Have (confidence: 0.9900000095367432)\n",
      "\tSymbol: H (confidence: 0.9900000095367432)\n",
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      "\tSymbol: e (confidence: 0.9900000095367432)\n",
      "Word text: you (confidence: 0.9900000095367432)\n",
      "\tSymbol: y (confidence: 0.9900000095367432)\n",
      "\tSymbol: o (confidence: 1.0)\n",
      "\tSymbol: u (confidence: 1.0)\n",
      "Word text: mapped (confidence: 0.9900000095367432)\n",
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      "\tSymbol: d (confidence: 0.9900000095367432)\n",
      "Word text: your (confidence: 0.9900000095367432)\n",
      "\tSymbol: y (confidence: 0.9900000095367432)\n",
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      "\tSymbol: u (confidence: 1.0)\n",
      "\tSymbol: r (confidence: 0.9900000095367432)\n",
      "Word text: family's (confidence: 0.9900000095367432)\n",
      "\tSymbol: f (confidence: 0.9900000095367432)\n",
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      "\tSymbol: m (confidence: 0.9900000095367432)\n",
      "\tSymbol: i (confidence: 1.0)\n",
      "\tSymbol: l (confidence: 1.0)\n",
      "\tSymbol: y (confidence: 0.9900000095367432)\n",
      "\tSymbol: ' (confidence: 0.9900000095367432)\n",
      "\tSymbol: s (confidence: 1.0)\n",
      "Word text: health (confidence: 0.9900000095367432)\n",
      "\tSymbol: h (confidence: 0.9900000095367432)\n",
      "\tSymbol: e (confidence: 0.9900000095367432)\n",
      "\tSymbol: a (confidence: 1.0)\n",
      "\tSymbol: l (confidence: 0.9900000095367432)\n",
      "\tSymbol: t (confidence: 1.0)\n",
      "\tSymbol: h (confidence: 1.0)\n",
      "Word text: history (confidence: 0.9900000095367432)\n",
      "\tSymbol: h (confidence: 0.9900000095367432)\n",
      "\tSymbol: i (confidence: 0.9900000095367432)\n",
      "\tSymbol: s (confidence: 1.0)\n",
      "\tSymbol: t (confidence: 0.9900000095367432)\n",
      "\tSymbol: o (confidence: 1.0)\n",
      "\tSymbol: r (confidence: 0.9900000095367432)\n",
      "\tSymbol: y (confidence: 1.0)\n",
      "Word text: back (confidence: 0.9900000095367432)\n",
      "\tSymbol: b (confidence: 0.9900000095367432)\n",
      "\tSymbol: a (confidence: 0.9900000095367432)\n",
      "\tSymbol: c (confidence: 0.9900000095367432)\n",
      "\tSymbol: k (confidence: 1.0)\n",
      "Word text: one (confidence: 0.9900000095367432)\n",
      "\tSymbol: o (confidence: 0.9900000095367432)\n",
      "\tSymbol: n (confidence: 1.0)\n",
      "\tSymbol: e (confidence: 0.9900000095367432)\n",
      "Word text: or (confidence: 0.9900000095367432)\n",
      "\tSymbol: o (confidence: 0.9900000095367432)\n",
      "\tSymbol: r (confidence: 0.9900000095367432)\n",
      "Word text: two (confidence: 0.9900000095367432)\n",
      "\tSymbol: t (confidence: 0.9800000190734863)\n",
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      "\tSymbol: o (confidence: 1.0)\n",
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      "Word text: ? (confidence: 0.9599999785423279)\n",
      "\tSymbol: ? (confidence: 0.9599999785423279)\n",
      "Paragraph confidence: 0.9800000190734863\n",
      "Word text: Yes (confidence: 0.9900000095367432)\n",
      "\tSymbol: Y (confidence: 0.9900000095367432)\n",
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      "Word text: , (confidence: 0.8999999761581421)\n",
      "\tSymbol: , (confidence: 0.8999999761581421)\n",
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      "\tSymbol: v (confidence: 0.9900000095367432)\n",
      "\tSymbol: e (confidence: 1.0)\n",
      "Word text: researched (confidence: 0.9900000095367432)\n",
      "\tSymbol: r (confidence: 0.9599999785423279)\n",
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      "\tSymbol: m (confidence: 0.9900000095367432)\n",
      "\tSymbol: y (confidence: 0.9900000095367432)\n",
      "Word text: family's (confidence: 0.9900000095367432)\n",
      "\tSymbol: f (confidence: 0.9599999785423279)\n",
      "\tSymbol: a (confidence: 1.0)\n",
      "\tSymbol: m (confidence: 0.9900000095367432)\n",
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      "\tSymbol: y (confidence: 0.9900000095367432)\n",
      "\tSymbol: ' (confidence: 0.9900000095367432)\n",
      "\tSymbol: s (confidence: 1.0)\n",
      "Word text: health (confidence: 0.9900000095367432)\n",
      "\tSymbol: h (confidence: 0.9900000095367432)\n",
      "\tSymbol: e (confidence: 0.9900000095367432)\n",
      "\tSymbol: a (confidence: 1.0)\n",
      "\tSymbol: l (confidence: 0.9900000095367432)\n",
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      "\tSymbol: h (confidence: 1.0)\n",
      "Word text: and (confidence: 0.9900000095367432)\n",
      "\tSymbol: a (confidence: 0.9900000095367432)\n",
      "\tSymbol: n (confidence: 1.0)\n",
      "\tSymbol: d (confidence: 1.0)\n",
      "Word text: have (confidence: 0.9900000095367432)\n",
      "\tSymbol: h (confidence: 0.9900000095367432)\n",
      "\tSymbol: a (confidence: 0.9900000095367432)\n",
      "\tSymbol: v (confidence: 0.9900000095367432)\n",
      "\tSymbol: e (confidence: 1.0)\n",
      "Word text: the (confidence: 0.9900000095367432)\n",
      "\tSymbol: t (confidence: 0.9900000095367432)\n",
      "\tSymbol: h (confidence: 1.0)\n",
      "\tSymbol: e (confidence: 1.0)\n",
      "Word text: information (confidence: 0.9900000095367432)\n",
      "\tSymbol: i (confidence: 0.9900000095367432)\n",
      "\tSymbol: n (confidence: 0.9900000095367432)\n",
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      "\tSymbol: a (confidence: 0.9900000095367432)\n",
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      "\tSymbol: l (confidence: 1.0)\n",
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      "\tSymbol: b (confidence: 1.0)\n",
      "\tSymbol: l (confidence: 0.9900000095367432)\n",
      "\tSymbol: e (confidence: 1.0)\n",
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      "\tSymbol: m (confidence: 1.0)\n",
      "Word text: not (confidence: 0.9900000095367432)\n",
      "\tSymbol: n (confidence: 0.9900000095367432)\n",
      "\tSymbol: o (confidence: 1.0)\n",
      "\tSymbol: t (confidence: 1.0)\n",
      "Word text: sure (confidence: 0.9900000095367432)\n",
      "\tSymbol: s (confidence: 0.9900000095367432)\n",
      "\tSymbol: u (confidence: 1.0)\n",
      "\tSymbol: r (confidence: 1.0)\n",
      "\tSymbol: e (confidence: 1.0)\n",
      "Word text: how (confidence: 0.9900000095367432)\n",
      "\tSymbol: h (confidence: 0.9900000095367432)\n",
      "\tSymbol: o (confidence: 1.0)\n",
      "\tSymbol: w (confidence: 0.9900000095367432)\n",
      "Word text: accurate (confidence: 0.9900000095367432)\n",
      "\tSymbol: a (confidence: 0.9900000095367432)\n",
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      "\tSymbol: a (confidence: 1.0)\n",
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      "\tSymbol: s (confidence: 1.0)\n",
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      "\tSymbol: h (confidence: 1.0)\n",
      "Word text: information (confidence: 0.9900000095367432)\n",
      "\tSymbol: i (confidence: 0.9800000190734863)\n",
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      "\tSymbol: t (confidence: 0.9900000095367432)\n",
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      "Word text: best (confidence: 0.9900000095367432)\n",
      "\tSymbol: b (confidence: 0.9800000190734863)\n",
      "\tSymbol: e (confidence: 0.9900000095367432)\n",
      "\tSymbol: s (confidence: 1.0)\n",
      "\tSymbol: t (confidence: 1.0)\n",
      "Word text: I (confidence: 0.9700000286102295)\n",
      "\tSymbol: I (confidence: 0.9700000286102295)\n",
      "Word text: can (confidence: 1.0)\n",
      "\tSymbol: c (confidence: 1.0)\n",
      "\tSymbol: a (confidence: 1.0)\n",
      "\tSymbol: n (confidence: 1.0)\n",
      "Word text: . (confidence: 0.8700000047683716)\n",
      "\tSymbol: . (confidence: 0.8700000047683716)\n",
      "Paragraph confidence: 0.9599999785423279\n",
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      "\tSymbol: N (confidence: 0.9900000095367432)\n",
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      "\n",
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      "\tSymbol: d (confidence: 0.9900000095367432)\n",
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      "\n",
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      "\n",
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      "\n",
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      "\n",
      "Paragraph confidence: 0.9900000095367432\n",
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      "\tSymbol: N (confidence: 0.9900000095367432)\n",
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      "\n",
      "Block confidence: 0.9900000095367432\n",
      "\n",
      "Paragraph confidence: 0.9900000095367432\n",
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      "\tSymbol: d (confidence: 0.9900000095367432)\n",
      "\tSymbol: o (confidence: 1.0)\n",
      "\tSymbol: n (confidence: 0.9900000095367432)\n",
      "\tSymbol: ' (confidence: 0.9599999785423279)\n",
      "\tSymbol: t (confidence: 1.0)\n",
      "Word text: know (confidence: 0.9900000095367432)\n",
      "\tSymbol: k (confidence: 0.9800000190734863)\n",
      "\tSymbol: n (confidence: 1.0)\n",
      "\tSymbol: o (confidence: 1.0)\n",
      "\tSymbol: w (confidence: 0.9900000095367432)\n"
     ]
    }
   ],
   "source": [
    "detect_document()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "central-asian",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "\n",
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      "Word text: have (confidence: 0.9900000095367432)\n",
      "\tSymbol: h (confidence: 0.9900000095367432)\n",
      "\tSymbol: a (confidence: 0.9900000095367432)\n",
      "\tSymbol: v (confidence: 0.9900000095367432)\n",
      "\tSymbol: e (confidence: 1.0)\n",
      "Word text: the (confidence: 0.9900000095367432)\n",
      "\tSymbol: t (confidence: 0.9900000095367432)\n",
      "\tSymbol: h (confidence: 1.0)\n",
      "\tSymbol: e (confidence: 1.0)\n",
      "Word text: information (confidence: 0.9900000095367432)\n",
      "\tSymbol: i (confidence: 0.9900000095367432)\n",
      "\tSymbol: n (confidence: 0.9900000095367432)\n",
      "\tSymbol: f (confidence: 0.9900000095367432)\n",
      "\tSymbol: o (confidence: 1.0)\n",
      "\tSymbol: r (confidence: 0.9900000095367432)\n",
      "\tSymbol: m (confidence: 1.0)\n",
      "\tSymbol: a (confidence: 0.9700000286102295)\n",
      "\tSymbol: t (confidence: 1.0)\n",
      "\tSymbol: i (confidence: 1.0)\n",
      "\tSymbol: o (confidence: 0.9900000095367432)\n",
      "\tSymbol: n (confidence: 1.0)\n",
      "Word text: available (confidence: 0.9900000095367432)\n",
      "\tSymbol: a (confidence: 1.0)\n",
      "\tSymbol: v (confidence: 0.9900000095367432)\n",
      "\tSymbol: a (confidence: 0.9900000095367432)\n",
      "\tSymbol: i (confidence: 1.0)\n",
      "\tSymbol: l (confidence: 1.0)\n",
      "\tSymbol: a (confidence: 1.0)\n",
      "\tSymbol: b (confidence: 1.0)\n",
      "\tSymbol: l (confidence: 0.9900000095367432)\n",
      "\tSymbol: e (confidence: 1.0)\n",
      "Word text: . (confidence: 0.9800000190734863)\n",
      "\tSymbol: . (confidence: 0.9800000190734863)\n",
      "Word text: I'm (confidence: 0.8799999952316284)\n",
      "\tSymbol: I (confidence: 0.7400000095367432)\n",
      "\tSymbol: ' (confidence: 0.9200000166893005)\n",
      "\tSymbol: m (confidence: 1.0)\n",
      "Word text: not (confidence: 0.9900000095367432)\n",
      "\tSymbol: n (confidence: 0.9900000095367432)\n",
      "\tSymbol: o (confidence: 1.0)\n",
      "\tSymbol: t (confidence: 1.0)\n",
      "Word text: sure (confidence: 0.9900000095367432)\n",
      "\tSymbol: s (confidence: 0.9900000095367432)\n",
      "\tSymbol: u (confidence: 1.0)\n",
      "\tSymbol: r (confidence: 1.0)\n",
      "\tSymbol: e (confidence: 1.0)\n",
      "Word text: how (confidence: 0.9900000095367432)\n",
      "\tSymbol: h (confidence: 0.9900000095367432)\n",
      "\tSymbol: o (confidence: 1.0)\n",
      "\tSymbol: w (confidence: 0.9900000095367432)\n",
      "Word text: accurate (confidence: 0.9900000095367432)\n",
      "\tSymbol: a (confidence: 0.9900000095367432)\n",
      "\tSymbol: c (confidence: 0.9900000095367432)\n",
      "\tSymbol: c (confidence: 0.9900000095367432)\n",
      "\tSymbol: u (confidence: 0.9900000095367432)\n",
      "\tSymbol: r (confidence: 1.0)\n",
      "\tSymbol: a (confidence: 1.0)\n",
      "\tSymbol: t (confidence: 1.0)\n",
      "\tSymbol: e (confidence: 1.0)\n",
      "Word text: my (confidence: 0.9800000190734863)\n",
      "\tSymbol: m (confidence: 0.9700000286102295)\n",
      "\tSymbol: y (confidence: 0.9900000095367432)\n",
      "Word text: family's (confidence: 0.9900000095367432)\n",
      "\tSymbol: f (confidence: 0.9900000095367432)\n",
      "\tSymbol: a (confidence: 1.0)\n",
      "\tSymbol: m (confidence: 1.0)\n",
      "\tSymbol: i (confidence: 1.0)\n",
      "\tSymbol: l (confidence: 1.0)\n",
      "\tSymbol: y (confidence: 1.0)\n",
      "\tSymbol: ' (confidence: 0.9900000095367432)\n",
      "\tSymbol: s (confidence: 1.0)\n",
      "Word text: health (confidence: 0.9900000095367432)\n",
      "\tSymbol: h (confidence: 0.9900000095367432)\n",
      "\tSymbol: e (confidence: 0.9900000095367432)\n",
      "\tSymbol: a (confidence: 1.0)\n",
      "\tSymbol: l (confidence: 0.9900000095367432)\n",
      "\tSymbol: t (confidence: 1.0)\n",
      "\tSymbol: h (confidence: 1.0)\n",
      "Word text: information (confidence: 0.9900000095367432)\n",
      "\tSymbol: i (confidence: 0.9800000190734863)\n",
      "\tSymbol: n (confidence: 1.0)\n",
      "\tSymbol: f (confidence: 0.9900000095367432)\n",
      "\tSymbol: o (confidence: 1.0)\n",
      "\tSymbol: r (confidence: 0.9900000095367432)\n",
      "\tSymbol: m (confidence: 1.0)\n",
      "\tSymbol: a (confidence: 1.0)\n",
      "\tSymbol: t (confidence: 1.0)\n",
      "\tSymbol: i (confidence: 1.0)\n",
      "\tSymbol: o (confidence: 0.9900000095367432)\n",
      "\tSymbol: n (confidence: 1.0)\n",
      "Word text: is (confidence: 0.9599999785423279)\n",
      "\tSymbol: i (confidence: 0.9200000166893005)\n",
      "\tSymbol: s (confidence: 1.0)\n",
      "Word text: but (confidence: 0.949999988079071)\n",
      "\tSymbol: b (confidence: 0.8899999856948853)\n",
      "\tSymbol: u (confidence: 0.9900000095367432)\n",
      "\tSymbol: t (confidence: 0.9900000095367432)\n",
      "Word text: I'll (confidence: 0.9700000286102295)\n",
      "\tSymbol: I (confidence: 0.9900000095367432)\n",
      "\tSymbol: ' (confidence: 0.9900000095367432)\n",
      "\tSymbol: l (confidence: 0.9300000071525574)\n",
      "\tSymbol: l (confidence: 0.9700000286102295)\n",
      "Word text: do (confidence: 0.9599999785423279)\n",
      "\tSymbol: d (confidence: 0.9300000071525574)\n",
      "\tSymbol: o (confidence: 0.9900000095367432)\n",
      "Word text: the (confidence: 0.9900000095367432)\n",
      "\tSymbol: t (confidence: 0.9900000095367432)\n",
      "\tSymbol: h (confidence: 1.0)\n",
      "\tSymbol: e (confidence: 0.9900000095367432)\n",
      "Word text: best (confidence: 0.9900000095367432)\n",
      "\tSymbol: b (confidence: 0.9800000190734863)\n",
      "\tSymbol: e (confidence: 0.9900000095367432)\n",
      "\tSymbol: s (confidence: 1.0)\n",
      "\tSymbol: t (confidence: 1.0)\n",
      "Word text: I (confidence: 0.9700000286102295)\n",
      "\tSymbol: I (confidence: 0.9700000286102295)\n",
      "Word text: can (confidence: 1.0)\n",
      "\tSymbol: c (confidence: 1.0)\n",
      "\tSymbol: a (confidence: 1.0)\n",
      "\tSymbol: n (confidence: 1.0)\n",
      "Word text: . (confidence: 0.8700000047683716)\n",
      "\tSymbol: . (confidence: 0.8700000047683716)\n",
      "Paragraph confidence: 0.9599999785423279\n",
      "Word text: No (confidence: 0.9900000095367432)\n",
      "\tSymbol: N (confidence: 0.9900000095367432)\n",
      "\tSymbol: o (confidence: 0.9900000095367432)\n",
      "Word text: , (confidence: 0.9599999785423279)\n",
      "\tSymbol: , (confidence: 0.9599999785423279)\n",
      "Word text: I (confidence: 0.9900000095367432)\n",
      "\tSymbol: I (confidence: 0.9900000095367432)\n",
      "Word text: haven't (confidence: 0.9800000190734863)\n",
      "\tSymbol: h (confidence: 0.9700000286102295)\n",
      "\tSymbol: a (confidence: 0.9900000095367432)\n",
      "\tSymbol: v (confidence: 0.9900000095367432)\n",
      "\tSymbol: e (confidence: 1.0)\n",
      "\tSymbol: n (confidence: 0.9900000095367432)\n",
      "\tSymbol: ' (confidence: 0.949999988079071)\n",
      "\tSymbol: t (confidence: 0.9800000190734863)\n",
      "Word text: been (confidence: 0.9900000095367432)\n",
      "\tSymbol: b (confidence: 0.9800000190734863)\n",
      "\tSymbol: e (confidence: 1.0)\n",
      "\tSymbol: e (confidence: 1.0)\n",
      "\tSymbol: n (confidence: 1.0)\n",
      "Word text: able (confidence: 0.9900000095367432)\n",
      "\tSymbol: a (confidence: 1.0)\n",
      "\tSymbol: b (confidence: 0.9900000095367432)\n",
      "\tSymbol: l (confidence: 1.0)\n",
      "\tSymbol: e (confidence: 1.0)\n",
      "Word text: to (confidence: 1.0)\n",
      "\tSymbol: t (confidence: 1.0)\n",
      "\tSymbol: o (confidence: 1.0)\n",
      "Word text: do (confidence: 0.9900000095367432)\n",
      "\tSymbol: d (confidence: 0.9900000095367432)\n",
      "\tSymbol: o (confidence: 1.0)\n",
      "Word text: the (confidence: 0.9900000095367432)\n",
      "\tSymbol: t (confidence: 0.9800000190734863)\n",
      "\tSymbol: h (confidence: 1.0)\n",
      "\tSymbol: e (confidence: 1.0)\n",
      "Word text: research (confidence: 0.9900000095367432)\n",
      "\tSymbol: r (confidence: 0.9900000095367432)\n",
      "\tSymbol: e (confidence: 0.9900000095367432)\n",
      "\tSymbol: s (confidence: 1.0)\n",
      "\tSymbol: e (confidence: 0.9900000095367432)\n",
      "\tSymbol: a (confidence: 1.0)\n",
      "\tSymbol: r (confidence: 1.0)\n",
      "\tSymbol: c (confidence: 1.0)\n",
      "\tSymbol: h (confidence: 1.0)\n",
      "Word text: , (confidence: 0.9900000095367432)\n",
      "\tSymbol: , (confidence: 0.9900000095367432)\n",
      "Word text: so (confidence: 0.49000000953674316)\n",
      "\tSymbol: s (confidence: 0.4099999964237213)\n",
      "\tSymbol: o (confidence: 0.5799999833106995)\n",
      "Word text: I'll (confidence: 0.9200000166893005)\n",
      "\tSymbol: I (confidence: 0.9399999976158142)\n",
      "\tSymbol: ' (confidence: 0.9700000286102295)\n",
      "\tSymbol: l (confidence: 0.9800000190734863)\n",
      "\tSymbol: l (confidence: 0.7900000214576721)\n",
      "Word text: be (confidence: 0.9599999785423279)\n",
      "\tSymbol: b (confidence: 0.9200000166893005)\n",
      "\tSymbol: e (confidence: 1.0)\n",
      "Word text: using (confidence: 0.9700000286102295)\n",
      "\tSymbol: u (confidence: 0.9900000095367432)\n",
      "\tSymbol: s (confidence: 0.8999999761581421)\n",
      "\tSymbol: i (confidence: 0.9800000190734863)\n",
      "\tSymbol: n (confidence: 1.0)\n",
      "\tSymbol: g (confidence: 1.0)\n",
      "Word text: my (confidence: 0.949999988079071)\n",
      "\tSymbol: m (confidence: 0.9200000166893005)\n",
      "\tSymbol: y (confidence: 0.9900000095367432)\n",
      "Word text: best (confidence: 0.9900000095367432)\n",
      "\tSymbol: b (confidence: 0.9900000095367432)\n",
      "\tSymbol: e (confidence: 0.9900000095367432)\n",
      "\tSymbol: s (confidence: 1.0)\n",
      "\tSymbol: t (confidence: 1.0)\n",
      "Word text: recollections (confidence: 0.9800000190734863)\n",
      "\tSymbol: r (confidence: 0.9300000071525574)\n",
      "\tSymbol: e (confidence: 0.9800000190734863)\n",
      "\tSymbol: c (confidence: 0.9900000095367432)\n",
      "\tSymbol: o (confidence: 1.0)\n",
      "\tSymbol: l (confidence: 0.9900000095367432)\n",
      "\tSymbol: l (confidence: 0.9900000095367432)\n",
      "\tSymbol: e (confidence: 0.9900000095367432)\n",
      "\tSymbol: c (confidence: 0.9900000095367432)\n",
      "\tSymbol: t (confidence: 1.0)\n",
      "\tSymbol: i (confidence: 0.9900000095367432)\n",
      "\tSymbol: o (confidence: 1.0)\n",
      "\tSymbol: n (confidence: 1.0)\n",
      "\tSymbol: s (confidence: 1.0)\n",
      "Word text: . (confidence: 0.949999988079071)\n",
      "\tSymbol: . (confidence: 0.949999988079071)\n",
      "\n",
      "Block confidence: 0.9800000190734863\n",
      "\n",
      "Paragraph confidence: 0.9800000190734863\n",
      "Word text: Other (confidence: 0.9900000095367432)\n",
      "\tSymbol: O (confidence: 0.9900000095367432)\n",
      "\tSymbol: t (confidence: 0.9900000095367432)\n",
      "\tSymbol: h (confidence: 0.9900000095367432)\n",
      "\tSymbol: e (confidence: 1.0)\n",
      "\tSymbol: r (confidence: 1.0)\n",
      "Word text: ( (confidence: 0.9900000095367432)\n",
      "\tSymbol: ( (confidence: 0.9900000095367432)\n",
      "Word text: please (confidence: 0.9900000095367432)\n",
      "\tSymbol: p (confidence: 0.9900000095367432)\n",
      "\tSymbol: l (confidence: 0.9900000095367432)\n",
      "\tSymbol: e (confidence: 0.9900000095367432)\n",
      "\tSymbol: a (confidence: 1.0)\n",
      "\tSymbol: s (confidence: 1.0)\n",
      "\tSymbol: e (confidence: 1.0)\n",
      "Word text: specify (confidence: 0.9900000095367432)\n",
      "\tSymbol: s (confidence: 0.9900000095367432)\n",
      "\tSymbol: p (confidence: 0.9900000095367432)\n",
      "\tSymbol: e (confidence: 0.9900000095367432)\n",
      "\tSymbol: c (confidence: 0.9900000095367432)\n",
      "\tSymbol: i (confidence: 1.0)\n",
      "\tSymbol: f (confidence: 1.0)\n",
      "\tSymbol: y (confidence: 0.9900000095367432)\n",
      "Word text: ) (confidence: 0.8999999761581421)\n",
      "\tSymbol: ) (confidence: 0.8999999761581421)\n",
      "\n",
      "Block confidence: 0.9900000095367432\n",
      "\n",
      "Paragraph confidence: 0.9900000095367432\n",
      "Word text: 2. (confidence: 0.9800000190734863)\n",
      "\tSymbol: 2 (confidence: 0.9900000095367432)\n",
      "\tSymbol: . (confidence: 0.9800000190734863)\n",
      "Word text: Are (confidence: 0.9900000095367432)\n",
      "\tSymbol: A (confidence: 1.0)\n",
      "\tSymbol: r (confidence: 0.9900000095367432)\n",
      "\tSymbol: e (confidence: 0.9900000095367432)\n",
      "Word text: you (confidence: 0.9900000095367432)\n",
      "\tSymbol: y (confidence: 0.9900000095367432)\n",
      "\tSymbol: o (confidence: 1.0)\n",
      "\tSymbol: u (confidence: 1.0)\n",
      "Word text: located (confidence: 0.9900000095367432)\n",
      "\tSymbol: l (confidence: 0.9900000095367432)\n",
      "\tSymbol: o (confidence: 1.0)\n",
      "\tSymbol: c (confidence: 0.9900000095367432)\n",
      "\tSymbol: a (confidence: 1.0)\n",
      "\tSymbol: t (confidence: 1.0)\n",
      "\tSymbol: e (confidence: 0.9900000095367432)\n",
      "\tSymbol: d (confidence: 1.0)\n",
      "Word text: in (confidence: 1.0)\n",
      "\tSymbol: i (confidence: 1.0)\n",
      "\tSymbol: n (confidence: 1.0)\n",
      "Word text: the (confidence: 1.0)\n",
      "\tSymbol: t (confidence: 1.0)\n",
      "\tSymbol: h (confidence: 1.0)\n",
      "\tSymbol: e (confidence: 1.0)\n",
      "Word text: United (confidence: 0.9900000095367432)\n",
      "\tSymbol: U (confidence: 0.9900000095367432)\n",
      "\tSymbol: n (confidence: 1.0)\n",
      "\tSymbol: i (confidence: 1.0)\n",
      "\tSymbol: t (confidence: 1.0)\n",
      "\tSymbol: e (confidence: 0.9900000095367432)\n",
      "\tSymbol: d (confidence: 1.0)\n",
      "Word text: States (confidence: 1.0)\n",
      "\tSymbol: S (confidence: 1.0)\n",
      "\tSymbol: t (confidence: 1.0)\n",
      "\tSymbol: a (confidence: 1.0)\n",
      "\tSymbol: t (confidence: 1.0)\n",
      "\tSymbol: e (confidence: 1.0)\n",
      "\tSymbol: s (confidence: 1.0)\n",
      "Word text: ? (confidence: 0.9399999976158142)\n",
      "\tSymbol: ? (confidence: 0.9399999976158142)\n",
      "\n",
      "Block confidence: 0.9900000095367432\n",
      "\n",
      "Paragraph confidence: 0.9900000095367432\n",
      "Word text: Yes (confidence: 0.9900000095367432)\n",
      "\tSymbol: Y (confidence: 0.9900000095367432)\n",
      "\tSymbol: e (confidence: 0.9900000095367432)\n",
      "\tSymbol: s (confidence: 0.9900000095367432)\n",
      "\n",
      "Block confidence: 0.9900000095367432\n",
      "\n",
      "Paragraph confidence: 0.9900000095367432\n",
      "Word text: No (confidence: 0.9900000095367432)\n",
      "\tSymbol: N (confidence: 0.9900000095367432)\n",
      "\tSymbol: o (confidence: 0.9900000095367432)\n",
      "\n",
      "Block confidence: 0.9800000190734863\n",
      "\n",
      "Paragraph confidence: 0.9800000190734863\n",
      "Word text: Other (confidence: 0.9900000095367432)\n",
      "\tSymbol: O (confidence: 0.9900000095367432)\n",
      "\tSymbol: t (confidence: 0.9900000095367432)\n",
      "\tSymbol: h (confidence: 0.9900000095367432)\n",
      "\tSymbol: e (confidence: 1.0)\n",
      "\tSymbol: r (confidence: 1.0)\n",
      "Word text: ( (confidence: 0.9900000095367432)\n",
      "\tSymbol: ( (confidence: 0.9900000095367432)\n",
      "Word text: please (confidence: 0.9900000095367432)\n",
      "\tSymbol: p (confidence: 0.9900000095367432)\n",
      "\tSymbol: l (confidence: 0.9900000095367432)\n",
      "\tSymbol: e (confidence: 0.9900000095367432)\n",
      "\tSymbol: a (confidence: 1.0)\n",
      "\tSymbol: s (confidence: 1.0)\n",
      "\tSymbol: e (confidence: 1.0)\n",
      "Word text: specify (confidence: 0.9599999785423279)\n",
      "\tSymbol: s (confidence: 0.9900000095367432)\n",
      "\tSymbol: p (confidence: 0.9900000095367432)\n",
      "\tSymbol: e (confidence: 1.0)\n",
      "\tSymbol: c (confidence: 1.0)\n",
      "\tSymbol: i (confidence: 1.0)\n",
      "\tSymbol: f (confidence: 0.8100000023841858)\n",
      "\tSymbol: y (confidence: 0.9900000095367432)\n",
      "Word text: ) (confidence: 0.949999988079071)\n",
      "\tSymbol: ) (confidence: 0.949999988079071)\n",
      "\n",
      "Block confidence: 0.9900000095367432\n",
      "\n",
      "Paragraph confidence: 0.9900000095367432\n",
      "Word text: 3. (confidence: 0.9900000095367432)\n",
      "\tSymbol: 3 (confidence: 0.9900000095367432)\n",
      "\tSymbol: . (confidence: 0.9900000095367432)\n",
      "Word text: Are (confidence: 0.9900000095367432)\n",
      "\tSymbol: A (confidence: 1.0)\n",
      "\tSymbol: r (confidence: 0.9900000095367432)\n",
      "\tSymbol: e (confidence: 0.9900000095367432)\n",
      "Word text: you (confidence: 0.9900000095367432)\n",
      "\tSymbol: y (confidence: 0.9900000095367432)\n",
      "\tSymbol: o (confidence: 1.0)\n",
      "\tSymbol: u (confidence: 1.0)\n",
      "Word text: of (confidence: 0.9900000095367432)\n",
      "\tSymbol: o (confidence: 0.9900000095367432)\n",
      "\tSymbol: f (confidence: 0.9900000095367432)\n",
      "Word text: Ashkenazi (confidence: 0.9900000095367432)\n",
      "\tSymbol: A (confidence: 0.9900000095367432)\n",
      "\tSymbol: s (confidence: 0.9900000095367432)\n",
      "\tSymbol: h (confidence: 0.9900000095367432)\n",
      "\tSymbol: k (confidence: 0.9900000095367432)\n",
      "\tSymbol: e (confidence: 0.9900000095367432)\n",
      "\tSymbol: n (confidence: 1.0)\n",
      "\tSymbol: a (confidence: 1.0)\n",
      "\tSymbol: z (confidence: 1.0)\n",
      "\tSymbol: i (confidence: 1.0)\n",
      "Word text: Jewish (confidence: 0.9900000095367432)\n",
      "\tSymbol: J (confidence: 0.9900000095367432)\n",
      "\tSymbol: e (confidence: 0.9900000095367432)\n",
      "\tSymbol: w (confidence: 0.9900000095367432)\n",
      "\tSymbol: i (confidence: 0.9900000095367432)\n",
      "\tSymbol: s (confidence: 1.0)\n",
      "\tSymbol: h (confidence: 1.0)\n",
      "Word text: descent (confidence: 0.9900000095367432)\n",
      "\tSymbol: d (confidence: 0.9900000095367432)\n",
      "\tSymbol: e (confidence: 0.9900000095367432)\n",
      "\tSymbol: s (confidence: 1.0)\n",
      "\tSymbol: c (confidence: 0.9900000095367432)\n",
      "\tSymbol: e (confidence: 0.9900000095367432)\n",
      "\tSymbol: n (confidence: 1.0)\n",
      "\tSymbol: t (confidence: 0.9900000095367432)\n",
      "Word text: ? (confidence: 0.949999988079071)\n",
      "\tSymbol: ? (confidence: 0.949999988079071)\n",
      "\n",
      "Block confidence: 0.9900000095367432\n",
      "\n",
      "Paragraph confidence: 0.9900000095367432\n",
      "Word text: Yes (confidence: 0.9900000095367432)\n",
      "\tSymbol: Y (confidence: 0.9900000095367432)\n",
      "\tSymbol: e (confidence: 0.9900000095367432)\n",
      "\tSymbol: s (confidence: 1.0)\n",
      "\n",
      "Block confidence: 0.9900000095367432\n",
      "\n",
      "Paragraph confidence: 0.9900000095367432\n",
      "Word text: No (confidence: 0.9900000095367432)\n",
      "\tSymbol: N (confidence: 0.9900000095367432)\n",
      "\tSymbol: o (confidence: 0.9900000095367432)\n",
      "\n",
      "Block confidence: 0.9900000095367432\n",
      "\n",
      "Paragraph confidence: 0.9900000095367432\n",
      "Word text: don't (confidence: 0.9800000190734863)\n",
      "\tSymbol: d (confidence: 0.9900000095367432)\n",
      "\tSymbol: o (confidence: 1.0)\n",
      "\tSymbol: n (confidence: 0.9900000095367432)\n",
      "\tSymbol: ' (confidence: 0.9599999785423279)\n",
      "\tSymbol: t (confidence: 1.0)\n",
      "Word text: know (confidence: 0.9900000095367432)\n",
      "\tSymbol: k (confidence: 0.9800000190734863)\n",
      "\tSymbol: n (confidence: 1.0)\n",
      "\tSymbol: o (confidence: 1.0)\n",
      "\tSymbol: w (confidence: 0.9900000095367432)\n"
     ]
    }
   ],
   "source": [
    "path = \"testIMG2.png\"\n",
    "from google.cloud import vision\n",
    "import io\n",
    "keyDIR = \"/Users/kunal/Documents/VdartResumeProject/APIKEYSGOOGLE/resumeMatcher-pdf2img.json\"\n",
    "credentials = service_account.Credentials.from_service_account_file(keyDIR) #using service account to go through google\n",
    "client = vision.ImageAnnotatorClient(credentials=credentials) # client api\n",
    "\n",
    "with io.open(path, 'rb') as image_file:\n",
    "    content = image_file.read()\n",
    "\n",
    "image = vision.Image(content=content)\n",
    "\n",
    "response = client.document_text_detection(image=image)\n",
    "\n",
    "for page in response.full_text_annotation.pages:\n",
    "    for block in page.blocks:\n",
    "        print('\\nBlock confidence: {}\\n'.format(block.confidence))\n",
    "\n",
    "        for paragraph in block.paragraphs:\n",
    "            print('Paragraph confidence: {}'.format(\n",
    "                paragraph.confidence))\n",
    "\n",
    "            for word in paragraph.words:\n",
    "                word_text = ''.join([\n",
    "                    symbol.text for symbol in word.symbols\n",
    "                ])\n",
    "                print('Word text: {} (confidence: {})'.format(\n",
    "                    word_text, word.confidence))\n",
    "\n",
    "                for symbol in word.symbols:\n",
    "                    print('\\tSymbol: {} (confidence: {})'.format(\n",
    "                        symbol.text, symbol.confidence))\n",
    "\n",
    "if response.error.message:\n",
    "    raise Exception(\n",
    "        '{}\\nFor more info on error messages, check: '\n",
    "        'https://cloud.google.com/apis/design/errors'.format(\n",
    "            response.error.message))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "raised-suspension",
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "object of type 'AnnotateImageResponse' has no len()",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-67-c7467a22808a>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mresponse\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m: object of type 'AnnotateImageResponse' has no len()"
     ]
    }
   ],
   "source": [
    "len(response)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "id": "dental-candle",
   "metadata": {},
   "outputs": [],
   "source": [
    "import statistics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "id": "solid-headset",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "id": "competitive-credits",
   "metadata": {},
   "outputs": [],
   "source": [
    "def findMode(lst):\n",
    "    try:\n",
    "        return statistics.mode(lst)\n",
    "    except:\n",
    "        return statistics.mode(lst)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "id": "alike-pressing",
   "metadata": {},
   "outputs": [],
   "source": [
    "lstPossibleAnswers = [[1,\"Yes, I've researched my family's health and have the information available\"],\n",
    "                      [1,\"I'm not sure how accurate my family's health information is but I'll do the best I can\"],\n",
    "                      [1,\"Yes\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "id": "frank-grounds",
   "metadata": {},
   "outputs": [],
   "source": [
    "answer = []\n",
    "for possibleAnswer in lstPossibleAnswers:\n",
    "    allWords = []\n",
    "    wordVert = []\n",
    "    for page in response.full_text_annotation.pages:\n",
    "        for block in page.blocks:\n",
    "            #print('\\nBlock confidence: {}\\n'.format(block.confidence))\n",
    "            for paragraph in block.paragraphs:\n",
    "                #print('Paragraph confidence: {}'.format(\n",
    "                    #paragraph.confidence))\n",
    "                for word in paragraph.words:\n",
    "                    word_text = ''.join([symbol.text for symbol in word.symbols])\n",
    "                    #print('Word text: {} (confidence: {})'.format(\n",
    "                    #word_text, word.confidence))\n",
    "                    allWords.append(word_text)\n",
    "                    if (\" \".join(allWords) in possibleAnswer[1]):\n",
    "                        y = [word.bounding_box.vertices[p].y for p in range(4)]\n",
    "                        x = [word.bounding_box.vertices[p].x for p in range(4)]\n",
    "                        centroid = (sum(x) /4, sum(y) /4)\n",
    "                        wordVert.append([word_text, centroid])\n",
    "    #df = pd.DataFrame(wordVert, columns = [\"Text\", \"Centroid\"])\n",
    "    answer.append([possibleAnswer[0], possibleAnswer[1], centroid])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "id": "laden-slide",
   "metadata": {},
   "outputs": [],
   "source": [
    "a = lstPossibleAnswers[2][1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "id": "future-works",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(247.5, 68.5)\n",
      "(434.5, 68.5)\n",
      "(434.5, 68.5)\n"
     ]
    }
   ],
   "source": [
    "for i in answer:\n",
    "    print(i[2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "id": "deadly-oliver",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Yes\n"
     ]
    }
   ],
   "source": [
    "if len(a.split()) == 1:\n",
    "    print(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "id": "polar-commons",
   "metadata": {},
   "outputs": [],
   "source": [
    "y = [word.bounding_box.vertices[p].y for p in range(4)]\n",
    "x = [word.bounding_box.vertices[p].x for p in range(4)]\n",
    "centroid = (sum(x) /4, sum(y) /4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "id": "simple-tenant",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(95.5, 437.0)"
      ]
     },
     "execution_count": 186,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "centroid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "id": "bacterial-matrix",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[432, 432, 442, 442]"
      ]
     },
     "execution_count": 187,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "id": "behavioral-delaware",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1,\n",
       " \"Yes, I've researched my family's health and have the information available\",\n",
       " (95.5, 437.0)]"
      ]
     },
     "execution_count": 191,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "answer[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "irish-addition",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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