pdf-qa.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "287649dc-5265-46af-8288-fce39ab5860b",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import pickle\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "from torch import Tensor\n",
    "import torch.nn.functional as F\n",
    "\n",
    "from transformers import AutoTokenizer, AutoModel\n",
    "from transformers import pipeline\n",
    "from transformers import T5ForConditionalGeneration, AutoTokenizer\n",
    "from transformers import AutoModelForSeq2SeqLM, AutoTokenizer\n",
    "import torch\n",
    "\n",
    "from pypdf import PdfReader"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "03dcbf04-3cfc-446d-ae2e-8573f1e670d6",
   "metadata": {},
   "source": [
    "# PDF QA"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cd91592c-c0b5-4b9e-9b42-7f5b72828594",
   "metadata": {},
   "source": [
    "#### The plan! 🤔"
   ]
  },
  {
   "attachments": {
    "822cf7e3-0ca9-4e50-b6c1-2226633247b5.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "id": "42aaf8b8-16f1-42f9-8b31-f693c1a15013",
   "metadata": {},
   "source": [
    "![MicrosoftTeams-image (4).png](attachment:822cf7e3-0ca9-4e50-b6c1-2226633247b5.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "96e99ab1-a110-4bef-b024-60356776083b",
   "metadata": {},
   "source": [
    "#### Currrent setup"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "61a49a82-398d-44a6-aca1-4ee9045c9e11",
   "metadata": {},
   "source": [
    "pypdf to extract text, chunk naively by pages (exclude toc, index)\n",
    "\n",
    "SS Model - [intfloat/e5-large](https://huggingface.co/intfloat/e5-large)\n",
    "- [Sentence Transformers Model Overview](https://www.sbert.net/docs/pretrained_models.html#model-overview)\n",
    "- [HF MTEB Leaderboard](https://huggingface.co/spaces/mteb/leaderboard)\n",
    "\n",
    "Retrieve cosine distance for top 2 page results grab page and next page and join as context\n",
    "\n",
    "QA Model - [flan-ul2](https://huggingface.co/google/flan-ul2)\n",
    "\n",
    "Prompt: f\"context:\\n {context} {prefix}: \\n{question}\\n.\" where context is the retrieved context, question is the user query, and prefix is \"Answer the following question by reasoning step by step.\"\n",
    "\n",
    "Long max length set, 1024."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1761d4d3-8ff7-46de-8562-e908cabc9226",
   "metadata": {},
   "source": [
    "### PDF Text Extraction "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "8c484964-e258-4b65-98b7-d92314be3fd8",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# reader = PdfReader(\"/home/davidwagner/manual.pdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e49f9fb6-0ae1-4241-8bc6-43b15f50e431",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# %%time # 38s\n",
    "# pages = [page.extract_text() for page in reader.pages]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "cba7ecb6-bedf-46ae-8609-0d5a09dd979a",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# with open(\"pages.pkl\", \"wb\") as f:\n",
    "#     pickle.dump(pages, f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "071c016c-5ea0-42bc-9138-eed78cc213a6",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "with open(\"pages.pkl\", \"rb\") as f:\n",
    "    pages = pickle.load(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7f13295c-4835-4b4f-b8c0-380155f8ae5a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "540"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(pages)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f80b3594-9b29-41db-8e96-70f9972a8517",
   "metadata": {},
   "source": [
    "### Semantic Search Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "46fc5251-84fc-4076-b7da-8f0becdefc89",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 3.44 s, sys: 1.38 s, total: 4.82 s\n",
      "Wall time: 3.99 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "def average_pool(last_hidden_states: Tensor, attention_mask: Tensor) -> Tensor:\n",
    "    last_hidden = last_hidden_states.masked_fill(~attention_mask[..., None].bool(), 0.0)\n",
    "    return last_hidden.sum(dim=1) / attention_mask.sum(dim=1)[..., None]\n",
    "# Each input text should start with \"query: \" or \"passage: \".\n",
    "ss_tokenizer = AutoTokenizer.from_pretrained('intfloat/e5-large')\n",
    "ss_model = AutoModel.from_pretrained('intfloat/e5-large')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "1e3afe05-b465-490e-956b-563011296048",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "ss_model.to(\"cuda\");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "516f1f02-3b68-4068-ab82-61cd71fd2984",
   "metadata": {},
   "source": [
    "### Create Semantic Search Database"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "4271125f-23c0-4939-ac79-f1da89d28e30",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# eliminate these pages from search for now, large token count and high frequency in sem search results\n",
    "# toc, figures: 3 - 13\n",
    "# index: 531 - 538\n",
    "for i in range(2, 13):\n",
    "    pages[i] = \" \"\n",
    "for i in range(530, 538):\n",
    "    pages[i] = \" \""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "0a670a15-8119-44a5-a19e-e09ee9565017",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 14.6 s, sys: 260 ms, total: 14.8 s\n",
      "Wall time: 15.7 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "db = []\n",
    "for i, page in enumerate(pages):\n",
    "    # input_texts = [f\"passage: {p}\" for p in pages][:50]\n",
    "    input_texts = [f\"passage: {page}\"]\n",
    "    batch_dict = ss_tokenizer(input_texts, max_length=512, padding=True, truncation=True, return_tensors='pt')\n",
    "    batch_dict.to(\"cuda\")\n",
    "    outputs = ss_model(**batch_dict)\n",
    "    embeddings = average_pool(outputs.last_hidden_state, batch_dict['attention_mask'])\n",
    "    embeddings = F.normalize(embeddings, p=2, dim=1)\n",
    "    db.append(embeddings.detach().cpu())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "24512c7a-082c-438f-a451-8bcd271fbbfc",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 2.89 ms, sys: 133 µs, total: 3.02 ms\n",
      "Wall time: 1.69 ms\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "torch.Size([540, 1024])"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "db = torch.concat(db)\n",
    "db.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cfa9056b-0e68-4c32-950c-528824db3aba",
   "metadata": {},
   "source": [
    "# Query DB"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "c5897849-e56a-4a87-b82a-3d325f5242e1",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def retrieve_context(query):\n",
    "    input_texts = [f\"query: {query}\"]\n",
    "    batch_dict = ss_tokenizer(input_texts, max_length=512, padding=True, truncation=True, return_tensors='pt')\n",
    "    batch_dict.to(\"cuda\")\n",
    "    outputs = ss_model(**batch_dict)\n",
    "    query_embeddings = average_pool(outputs.last_hidden_state, batch_dict['attention_mask'])\n",
    "    query_embeddings = F.normalize(query_embeddings, p=2, dim=1)\n",
    "    query_embeddings = query_embeddings.detach().cpu()\n",
    "    scores = (query_embeddings @ db.T) * 100\n",
    "    first, second = scores.topk(2).indices[0].tolist()\n",
    "    # top_idx = scores.argmax().item()\n",
    "    first_context = \"\\n\".join(pages[first: first + 2])\n",
    "    second_context = \"\\n\".join(pages[second: second + 2])\n",
    "    top_pages = \"\\n\".join([first_context, second_context])\n",
    "    return top_pages, [first, second], query_embeddings, scores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "3429fb6f-c2d4-4609-ac2a-093bf4e1ecdc",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "query = \"What are the required tools?\"\n",
    "top_pages, top_two, query_embeddings, scores = retrieve_context(query)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "8f4de5de-7446-4207-a30c-c7e531471996",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<Axes: title={'center': '0'}>]], dtype=object)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.DataFrame(scores.tolist()[0]).hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "9d3c195d-dc1b-423c-b885-9bfade27e421",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[28, 468]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_two"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "03e6cd4b-a8ae-4430-b024-3cb729f2c138",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor(28)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scores.argmax()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "ee0dfe4c-cba0-46ec-bd7a-559829b5bf6b",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor(84.4103)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scores[0, 28]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "336a31cc-120f-440b-806f-269fe09679c1",
   "metadata": {},
   "source": [
    "### QA Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "54306399-47a1-4fbc-a554-1375b05419c9",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Overriding torch_dtype=None with `torch_dtype=torch.float16` due to requirements of `bitsandbytes` to enable model loading in mixed int8. Either pass torch_dtype=torch.float16 or don't pass this argument at all to remove this warning.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "===================================BUG REPORT===================================\n",
      "Welcome to bitsandbytes. For bug reports, please run\n",
      "\n",
      "python -m bitsandbytes\n",
      "\n",
      " and submit this information together with your error trace to: https://github.com/TimDettmers/bitsandbytes/issues\n",
      "================================================================================\n",
      "bin /home/davidwagner/mambaforge/envs/dev/lib/python3.10/site-packages/bitsandbytes/libbitsandbytes_cuda117.so\n",
      "CUDA SETUP: CUDA runtime path found: /home/davidwagner/mambaforge/envs/dev/lib/libcudart.so\n",
      "CUDA SETUP: Highest compute capability among GPUs detected: 8.0\n",
      "CUDA SETUP: Detected CUDA version 117\n",
      "CUDA SETUP: Loading binary /home/davidwagner/mambaforge/envs/dev/lib/python3.10/site-packages/bitsandbytes/libbitsandbytes_cuda117.so...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/davidwagner/mambaforge/envs/dev/lib/python3.10/site-packages/bitsandbytes/cuda_setup/main.py:145: UserWarning: Found duplicate ['libcudart.so', 'libcudart.so.11.0', 'libcudart.so.12.0'] files: {PosixPath('/home/davidwagner/mambaforge/envs/dev/lib/libcudart.so'), PosixPath('/home/davidwagner/mambaforge/envs/dev/lib/libcudart.so.11.0')}.. We'll flip a coin and try one of these, in order to fail forward.\n",
      "Either way, this might cause trouble in the future:\n",
      "If you get `CUDA error: invalid device function` errors, the above might be the cause and the solution is to make sure only one ['libcudart.so', 'libcudart.so.11.0', 'libcudart.so.12.0'] in the paths that we search based on your env.\n",
      "  warn(msg)\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e114ba065aeb40b78e34d2607c8c46d2",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Loading checkpoint shards:   0%|          | 0/8 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 2min 1s, sys: 49.3 s, total: 2min 50s\n",
      "Wall time: 51.7 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "model = T5ForConditionalGeneration.from_pretrained(\"google/flan-ul2\", device_map=\"auto\", load_in_8bit=True)                                                                 \n",
    "tokenizer = AutoTokenizer.from_pretrained(\"google/flan-ul2\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "5115e77c-3ba3-41d9-9e08-4ce9e33ef0f7",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[18, 363]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "question = \"Where can I find more information?\"\n",
    "# context = reader.pages[18].extract_text()\n",
    "context, page_num, _, scores = retrieve_context(question)\n",
    "page_num"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "b3a43f5a-c747-40e7-bfb4-df3420db6a63",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# model = AutoModelForSeq2SeqLM.from_pretrained(\"google/flan-t5-xxl\")\n",
    "# tokenizer = AutoTokenizer.from_pretrained(\"google/flan-t5-xxl\", device_map=\"auto\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "f903eacd-782e-4b68-896a-8f41078e2a0c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([1, 1149])\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/davidwagner/mambaforge/envs/dev/lib/python3.10/site-packages/transformers/generation/utils.py:1288: UserWarning: Using `max_length`'s default (20) to control the generation length. This behaviour is deprecated and will be removed from the config in v5 of Transformers -- we recommend using `max_new_tokens` to control the maximum length of the generation.\n",
      "  warnings.warn(\n",
      "/home/davidwagner/mambaforge/envs/dev/lib/python3.10/site-packages/transformers/generation/utils.py:1374: UserWarning: You are calling .generate() with the `input_ids` being on a device type different than your model's device. `input_ids` is on cpu, whereas the model is on cuda. You may experience unexpected behaviors or slower generation. Please make sure that you have put `input_ids` to the correct device by calling for example input_ids = input_ids.to('cuda') before running `.generate()`.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Self Checkout System 6 MT4888 Hardware Service Guide Models Exx and BW']\n",
      "CPU times: user 10.4 s, sys: 585 ms, total: 11 s\n",
      "Wall time: 10.3 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "inputs = tokenizer(f\"question: {question} context: {context}\", return_tensors=\"pt\")\n",
    "print(inputs.input_ids.shape)\n",
    "outputs = model.generate(**inputs)\n",
    "print(tokenizer.batch_decode(outputs, skip_special_tokens=True))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "id": "a7462c60-ca03-4906-9e6f-c2134b4f6a33",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def query(question):\n",
    "    # context, page_num, _, scores = retrieve_context(question)\n",
    "    context, _, _, _ = search(question) \n",
    "    prefix = \"Answer the following question by reasoning step by step.\"\n",
    "    inputs = tokenizer(f\"context:\\n {context} {prefix}: \\n{question}\\n.\", return_tensors=\"pt\").input_ids.to(\"cuda\")\n",
    "    print(\"Tokens: \", inputs.shape, \"\\n\")\n",
    "    outputs = model.generate(inputs, max_length=1024)\n",
    "    answer = tokenizer.batch_decode(outputs, skip_special_tokens=True)\n",
    "    text = \"\"\n",
    "    for line in answer[0].split(\". \"):\n",
    "        text += line\n",
    "        text += '\\n'\n",
    "    return text, context"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4190801b-8c94-4ea3-9a33-5da2e0b9d616",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true,
    "tags": []
   },
   "source": [
    "# Page Chunking"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "c0918852-ea5f-4690-91a3-3e52152fcac6",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Tokens:  torch.Size([1, 1482]) \n",
      "\n",
      "Bill dispenser screwdriver kit (PN 41K6284) Cash models with bill dispenser 5/16-inch (8 mm) socket All 10 mm socket All Torx T-10 screwdriver - 9-3/4 inch long All 1.5 mm to 10 mm ball-end hex key set (PN 73G5473) All 5.5 mm driver All Test currency (25 each of $1, $5, and $20); US and Euro currency onlyCash models with bill dispenser (not for use in models with Banknote recycler) 5 mm hex socket drive and 6mm hex socket drives All models except E01 and E11\n",
      "\n",
      "Therefore, the final answer is Bill dispenser screwdriver kit ( PN 41K6284 ) Cash models with bill dispenser 5/16 - inch (8 mm ) socket All 10 mm socket All Torx T-10 screwdriver - 9-3 / 4 inch long All 1.5 mm to 10 mm ball - end hex key set ( PN 73G5473 ) All 5.5 mm driver All Test currency ( 25 each of $1, $5, and $20 ) ; US and Euro currency only Cash models with bill dispenser ( not for use in models with Banknote recycler ) 5 mm hex socket drive and 6mm hex socket drives All models except E01 and E11.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "query(\"What tools should I use?\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bb2ab762-12e5-4a02-97d6-e59e1681b928",
   "metadata": {},
   "source": [
    "Clearing a jam p. 53"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "a6924777-8447-4f8c-802a-cc92733f3d32",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Tokens:  torch.Size([1, 1249]) \n",
      "\n",
      "Clearing a jam from the bundler is on page 54 of the 4888 Hardware Service Guide\n",
      "\n",
      "Therefore, the final answer is Chapter 4.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "query(\"What chapter, section and/or page number talks about fixing a jam in the bundler?\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "369da99a-cda1-45e1-843a-d63330d6486e",
   "metadata": {},
   "source": [
    "Good overview figure on 32."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "ac22cd32-d11b-468a-a00c-25e8ec619e08",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Tokens:  torch.Size([1, 357]) \n",
      "\n",
      "Figure 7 presents an overview of where all the parts are\n",
      "\n",
      "It is on page 31\n",
      "\n",
      "Therefore, the final answer is 31.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "query(\"Is there a figure include that presents an overview of where all the parts are? What page is it on?\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0229148f-ba28-4dc1-9fb6-e6471c4cebf3",
   "metadata": {
    "tags": []
   },
   "source": [
    "This should be 70-120lbs and 3 people (p. 740)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "c114c592-28fa-4460-96cc-448fc7f9e6fe",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Tokens:  torch.Size([1, 1866]) \n",
      "\n",
      "The conveyor weighs 60 lb and it would take 2 people to lift it safely\n",
      "\n",
      "Therefore, the final answer is 2.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "query(\"How much does the security conveyor weigh and how many people would it take to lift safely?\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c7d21658-9e8a-4ae5-8327-83732d1bd713",
   "metadata": {},
   "source": [
    "Technically I was looking for figure 391, but 392 a couple pages down is the same figure. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "1882aa70-5c1f-4216-8975-679f9f2519b4",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Tokens:  torch.Size([1, 935]) \n",
      "\n",
      "Lane PC Connectors (4900-785) Figure 392 shows the connectors on the rear of the lane PC\n",
      "\n",
      "Therefore, the final answer is Figure 392.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "query(\"What page has a diagram of all the connections on the back of this computer?\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1d68f7fe-e3b1-49fe-8019-4a438529f493",
   "metadata": {},
   "source": [
    "First part is odd, but bottom of 329 is correct."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "0f8e415f-b197-4a0f-9f23-171282038e79",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Tokens:  torch.Size([1, 812]) \n",
      "\n",
      "The relevant information to answer the above question is: 3\n",
      "\n",
      "Connect the cables to the connectors on the interface card in the rear corder of the recycler\n",
      "\n",
      "Therefore, the final answer is 329.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "ctx = query(\"What page explains installation of the coin recyler?\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "7cd09679-f063-453a-995b-93b882f05438",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Tokens:  torch.Size([1, 881]) \n",
      "\n",
      "CPU times: user 26.1 s, sys: 50.6 ms, total: 26.2 s\n",
      "Wall time: 25.2 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "txt, ctx = query(\"How do I install the coin recycler?\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "1c86c3d4-fbdf-44a6-b8ba-776c3c6da6d2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Install the carousel onto the recycling coin handler frame\n",
      "a\n",
      "Position the carousel with the two mounting holes in the top corners closest to you\n",
      "b\n",
      "Align the mounting holes on the top of the carousel with the two threaded mounting studs\n",
      "c\n",
      "Set the carousel in place and install the nuts on the two threaded studs\n",
      "d\n",
      "Install the two mounting screws on the back of the recycling coin handlers frame\n",
      "Therefore, the final answer is Install the carousel onto the recycling coin handler frame.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(txt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "a24e9890-0edd-4b38-9c30-bef8e0964424",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AFigure 297. Remove the two nuts from the front edge of the recycling coin handler (top view)\n",
      "5. Remove the two nuts from the front corners of the carousel and set them aside for future\n",
      "use.\n",
      "6. Route the interface cable and its connector through the opening in the right rear corner of\n",
      "the carousel.\n",
      "7. Lift the carousel up and off the recyclers frame.\n",
      "Installing the carousel\n",
      "Complete the following procedure to install the carousel in the recycling coin handler.\n",
      "1. Install the carousel onto the recycling coin handler frame.\n",
      "a. Position the carousel with the two mounting holes in the top corners closest to you.\n",
      "b. Align the mounting holes on the top of the carousel with the two threaded mounting\n",
      "studs.\n",
      "c. Set the carousel in place and install the nuts on the two threaded studs.\n",
      "d. Install the two mounting screws on the back of the recycling coin handlers frame.\n",
      "2. Install the carousel motor (see “Install the carousel motor” on page 351 ).\n",
      "3. Install the main controller board and opto sensor (see “Installing the main controller board”\n",
      "on page 342 ).\n",
      "4. Install the singulator (see “Installing the singulator” on page 356 ).\n",
      "5. If necessary install the recycling coin handler in the payment unit.\n",
      "Chapter 7. Component removal and installation procedures - payment unit  359\n",
      "Removing and installing the lithium battery in a recycling coin\n",
      "handler\n",
      "This section provides the information to remove and install the lithium battery in a recycling\n",
      "coin handler.\n",
      "Remove the lithium battery from a recycling coin handler\n",
      "Complete the following procedure, to remove the lithium battery from a recycling coin handler:\n",
      "1. Close and power off the lane (see “Lane shutdown procedures” on page 43 ).\n",
      "2. Unlock and open the doors of the payment unit.\n",
      "3. Slide the recycling coin handler out of the payment unit until it stops.\n",
      "A\n",
      "Figure 298. Open carousel cover\n",
      "4. Use the two finger pulls  A (see Figure 298 ) to open the carousel cover.\n",
      "360 4888 Hardware Service Guide\n",
      "2. Grasp the card by the bottom edge and align the tabs on the left edge of the card with the\n",
      "slots in the back of the coin recyclers frame.\n",
      "3. Insert the tabs into the slots and rotate the right edge of the card toward the side wall of the\n",
      "frame.\n",
      "4. While holding the card in place, use two mounting screws to secure the card in place.\n",
      "5. Connect the cables to the connectors.\n",
      "6. Install the coin tray and hoppers. Perform steps 6 through 14 of “Installing the recycling\n",
      "coin handler” on page 329  to complete this procedure.\n",
      "Note: If you removed the entire recycling coin handler from the payment unit see \n",
      "“Installing the recycling coin handler” on page 329 , to complete this procedure.\n",
      "Removal and installation of the carousel circuit board\n",
      "This section provides the information necessary to remove and install the carousel circuit board.\n",
      "Removing the main controller board\n",
      "Complete the following procedure to remove the main controller board:\n",
      "1. Close and power off the lane (see “Lane shutdown procedures” on page 43 ).\n",
      "2. Unlock and open the doors of the payment unit.\n",
      "3. Slide the recycling coin handler out of the payment unit until it stops.\n",
      "A\n",
      "Figure 277. Open the carousel outer cover\n",
      "4. Use the finger pulls  A (see Figure 277 ) to open the outer cover.\n",
      "338 4888 Hardware Service Guide\n",
      "A\n",
      "CBFigure 278. Remove the main board inner cover\n",
      "5. Disconnect the five cables  C (see Figure 278 ) from the right side of the inner cover.\n",
      "6. Remove the four mounting screws  A and  B from the inner cover; then, lift the cover off\n",
      "the recycling coin handler (RCH).\n",
      "Chapter 7. Component removal and installation procedures - payment unit  339\n"
     ]
    }
   ],
   "source": [
    "print(ctx)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "076eecd8-8acd-4700-a4bb-1c7c4fb00348",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Tokens:  torch.Size([1, 881]) \n",
      "\n",
      "CPU times: user 26.4 s, sys: 20.8 ms, total: 26.4 s\n",
      "Wall time: 25.4 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "txt2, ctx2 = query(\"How do I install the coin recycler?\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "0ff7e889-6ef9-4f95-bc76-3b7abd1304ba",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Install the carousel onto the recycling coin handler frame\n",
      "a\n",
      "Position the carousel with the two mounting holes in the top corners closest to you\n",
      "b\n",
      "Align the mounting holes on the top of the carousel with the two threaded mounting studs\n",
      "c\n",
      "Set the carousel in place and install the nuts on the two threaded studs\n",
      "d\n",
      "Install the two mounting screws on the back of the recycling coin handlers frame\n",
      "Therefore, the final answer is Install the carousel onto the recycling coin handler frame.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(txt2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a5d064ff-90d1-4f73-a78b-ab73df229646",
   "metadata": {},
   "source": [
    "# Chunked DB"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "id": "6b37e771-2953-4858-8927-4484aac1eaaa",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Tokens:  torch.Size([1, 486]) \n",
      "\n",
      "CPU times: user 22.1 s, sys: 25.7 ms, total: 22.1 s\n",
      "Wall time: 21.1 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "txt, ctx = query(\"How do I install the coin recycler?\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "id": "732cfec3-b12e-4311-84d4-af3e13e3bb9a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2. Grasp the card by the bottom edge and align the tabs on the left edge of the card with the\n",
      "slots in the back of the coin recyclers frame.\n",
      "3. Insert the tabs into the slots and rotate the right edge of the card toward the side wall of the\n",
      "frame.\n",
      "4. While holding the card in place, use two mounting screws to secure the card in place.\n",
      "5. Connect the cables to the connectors.\n",
      "6. Install the coin tray and hoppers. Perform steps 6 through 14 of “Installing the recycling\n",
      "coin handler” on page 329  to complete this procedure.\n",
      "Note: If you removed the entire recycling coin handler from the payment unit see \n",
      "“Installing the recycling coin handler” on page 329 , to complete this procedure.\n",
      "Removal and installation of the carousel circuit board\n",
      "This section provides the information necessary to remove and install the carousel circuit board.\n",
      "Removing the main controller board\n",
      "Complete the following procedure to remove the main controller board:\n",
      "1. Close and power off the lane (see “Lane shutdown procedures” on page 43 ).\n",
      "2. Unlock and open the doors of the payment unit.\n",
      "3. Slide the recycling coin handler out of the payment unit until it stops.\n",
      "A\n",
      "Figure 277. Open the carousel outer cover\n",
      "4. Use the finger pulls  A (see Figure 277 ) to open the outer cover.\n",
      "338 4888 Hardware Service Guide\n",
      "A\n",
      "CBFigure 278. Remove the main board inner cover\n",
      "5. Disconnect the five cables  C (see Figure 278 ) from the right side of the inner cover.\n",
      "6. Remove the four mounting screws  A and  B from the inner cover; then, lift the cover off\n",
      "the recycling coin handler (RCH).\n",
      "Chapter 7. Component removal and installation procedures - payment unit  339\n",
      "Note: Looking at the inner cover from the front of the RCH, the two screws  A on the left\n",
      "edge of the cover are shorter than the two mounting screws  B nearest the connectors on\n",
      "the right. Store the screws separately for reuse when installing the inner cover\n",
      "B\n",
      "C\n",
      "DA\n",
      "A\n",
      "Figure 279. Disconnect the 12 cables from the main controller board\n",
      "7. Note the locations of the cables on the main controller board and \n"
     ]
    }
   ],
   "source": [
    "print(ctx)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "id": "03b4e6c5-541d-4aca-bb05-e7f102a38ac5",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2\n",
      "Grasp the card by the bottom edge and align the tabs on the left edge of the card with the slots in the back of the coin recyclers frame\n",
      "3\n",
      "Insert the tabs into the slots and rotate the right edge of the card toward the side wall of the frame\n",
      "4\n",
      "While holding the card in place, use two mounting screws to secure the card in place\n",
      "5\n",
      "Connect the cables to the connectors\n",
      "6\n",
      "Install the coin tray and hoppers\n",
      "Therefore, the final answer is 2.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(txt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "id": "375a72c0-838a-4c5c-802f-60492b1c892f",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Tokens:  torch.Size([1, 512]) \n",
      "\n"
     ]
    }
   ],
   "source": [
    "txt, ctx = query(\"Where do I find more information?\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "id": "46a14415-2c21-4a26-93f2-0ac076696b43",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Solutions website at http://www.toshibacommerce.com/support/publications . The publications\\nlisted under the General  tab are available to the public.\\nNote: Access to the product publications require valid user credentials. For information on\\nobtaining a user ID and password, click About us , and then FAQs .\\nTo access a specific Toshiba product publication:\\n1. Go to http://www.toshibacommerce.com .\\n2. Click Support .\\n3. Click Publications .\\n4. Click the appropriate product category (for example, Hardware .\\n5. Scroll down and select the desired product.\\n6. Scroll down and select the appropriate manual listed under the Publications  header, and\\nthe PDF will be downloaded to your computer.\\nAccessing the TGCS Knowledgebase site\\nToshiba Global Commerce Solutions has developed a variety of Knowledgebase articles to assist\\nyou in using the Toshiba product set. To access the TGCS Knowledgebase articles:\\n1. Enter your user ID and Password.\\n2. Click Support .\\n3. Click Publications .\\n4. Click the appropriate product category (for example, Hardware .\\n5. Scroll down and select the desired product.\\n6. Click Restricted content (Security Alerts, BIOS & Publications) .\\n7. Click the Knowledgebase  link.\\nSelf Checkout 4888 Models Exx and BW4 library\\nThe following publications can be found in the Self Checkout 4888 Models Exx and BW4 library.\\n•Self Checkout System 6 MT4888 Overview Models Exx and BW4 , G362-2058\\n•Self Checkout System 6 MT4888 Parts Manual Models Exx and BW4 , G362-0586\\n© Copyright Toshiba Global Commerce Solutions, Inc. 2014, 2018 19\\n•Self Checkout System 6 MT4888 Hardware Planning and Installation Guide Models Exx and BW4 ,\\nG362-0584\\n•Self Checkout System 6 MT4888 Hardware Service Guide Models Exx and BW4 , G362-0585\\nAdditional information\\nThe following publications provide additional information related to the Self Checkout Systems\\nmodels.\\n•Checkout Environment for Consumer-Service: Operations Guide, Version 6.8 , TC62-0009\\n•Checkout Environment for Consumer-Service Software Planning, Installation, and Maintenance'"
      ]
     },
     "execution_count": 150,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ctx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "id": "6c128d5a-0793-49f8-b96c-9b307f3da159",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The relevant information to answer the above question is: The following publications provide additional information related to the Self Checkout Systems models\n",
      "Therefore, the final answer is Checkout Environment for Consumer-Service: Operations Guide, Version 6.8, TC62-0009, Checkout Environment for Consumer-Service Software Planning, Installation, and Maintenance.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(txt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "id": "98aadb53-c5ac-4763-aca9-68e56b4f0ff7",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Tokens:  torch.Size([1, 457]) \n",
      "\n"
     ]
    }
   ],
   "source": [
    "txt, ctx = query(\"Install the recycling coin handler.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "id": "43f0dcfd-089b-40fb-bd08-a6ceb5e05be1",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "To answer the question, consider the following: This procedure covers the installation of the entire recycling coin handler as described in “Recycling coin handler” on page 328\n",
      "Therefore, the final answer is This procedure covers the installation of the entire recycling coin handler as described in “Recycling coin handler ” on page 328.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(txt)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "64ee8c2b-26a2-4051-b42f-488ae3c52777",
   "metadata": {},
   "source": [
    "# Max page length and context "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "9e0a31c1-2556-47b0-8123-4c1a37b3eaef",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Token indices sequence length is longer than the specified maximum sequence length for this model (524 > 512). Running this sequence through the model will result in indexing errors\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 497 ms, sys: 0 ns, total: 497 ms\n",
      "Wall time: 494 ms\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "pages_tokenized = [ss_tokenizer(page, return_tensors=\"pt\") for page in pages]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "702e2947-2b2a-4681-92ed-b2d1092a1543",
   "metadata": {},
   "source": [
    "Check the distribution of number of tokens per page in the manual."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "cf0e13d0-e27b-4634-9832-11407a361915",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<Axes: title={'center': '0'}>]], dtype=object)"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.DataFrame([p['input_ids'].shape[1] for p in pages_tokenized]).hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "7a4e5673-a281-4194-aea9-407bfde93c0c",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "pages_sorted = sorted(pages, key=len, reverse=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "ca2cf780-bc52-4e20-a71c-5925648881bc",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "question = \"Looks like our carousel frame is broken, what steps should I take to fix it?\"\n",
    "context = \"\\n\".join(pages[97:99])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "40b89240-a05c-4100-8ffc-b77ee250dd9f",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([1, 1635])\n",
      "CPU times: user 2min 28s, sys: 20.5 ms, total: 2min 28s\n",
      "Wall time: 2min 29s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "# inputs = tokenizer(f\"question: \\n{question}\\n context:\\n {context}\", return_tensors=\"pt\").input_ids.to(\"cuda\")\n",
    "prefix = \"Answer the following question by reasoning step by step.\"\n",
    "inputs = tokenizer(f\"context:\\n {context} {prefix}: \\n{question}\\n.\", return_tensors=\"pt\").input_ids.to(\"cuda\")\n",
    "print(inputs.shape)\n",
    "outputs = model.generate(inputs, max_length=1024)\n",
    "answer = tokenizer.batch_decode(outputs, skip_special_tokens=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "29ea0104-6102-4a1b-9c39-9a3304459629",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "To fix the carousel frame, you should remove the scale platter (see Chapter 11, Component removal and installation procedures: 6-bag carousel bagging units on page 401 )\n",
      "\n",
      "Begin the process of removing the complete carousel load cell system; stop before the load cell unit is removed from the carousel\n",
      "\n",
      "The load cell system must remain in the carousel because this procedure verifies whether the load cell frame is introducing tension into the load cell system\n",
      "\n",
      "Tension in the load cell system causes load cells to report weights incorrectly\n",
      "\n",
      "After the load cell frame mounting bolts have been removed, verify that the load cell cross- frame does not rock or seesaw between two mounting points\n",
      "\n",
      "If the load cell frame does rock or seesaw, then the base of the load cell frame is not inducing tension in the system\n",
      "\n",
      "Reinstall and retighten the mounting bolts in a crisscross pattern and then go to step 6 on page 99\n",
      "\n",
      "• If the load cell frame does rock or seesaw, go to step 4 on page 99\n",
      "\n",
      "4\n",
      "\n",
      "If the load cell frame rocks or seesaws from side to side, washer spacers need to be placed under the one or both of the mounting points where the rocking is occurring\n",
      "\n",
      "A maximum of two spacers can be used to eliminate the tension in the system\n",
      "\n",
      "If more than two spacers are required, then the top of the load cell frame might be too severely damaged to fix the issue with spacers\n",
      "\n",
      "The top of the load cell frame might have to be replaced\n",
      "\n",
      "5\n",
      "\n",
      "After the rocking has been eliminated, verify that additional rocking has not been induced across the other mounting points\n",
      "\n",
      "After this is verified, the load cell frame mounting bolts can be reinstalled and tightened in a crisscross pattern\n",
      "\n",
      "Go to step 6 on page 99\n",
      "\n",
      "6\n",
      "\n",
      "Begin the process of removing the top of the load cell frame as indicated in the removal process for an individual load cell (see “6-bag carousel bagger components removal and installation” on page 402 ); stop before the top of the load cell frame is lifted off of the load cells\n",
      "\n",
      "7\n",
      "\n",
      "Verify that the top of the load cell cross-frame does not rock or seesaw between mounting points\n",
      "\n",
      "8\n",
      "\n",
      "If the top of the load cell frame rocks or seesaws from side to side, washer spacers have to be placed under the one or both of the mounting points where the rocking is occurring\n",
      "\n",
      "A maximum of two spacers can be used to eliminate the tension in the system\n",
      "\n",
      "If more than two spacers are required, then the top of the load cell frame might be too severely damaged to fix the issue with spacers\n",
      "\n",
      "The top of the load cell frame might have to be replaced\n",
      "\n",
      "9\n",
      "\n",
      "After the rocking has been eliminated, verify that additional rocking has not been induced across the other mounting points\n",
      "\n",
      "After this is verified, the load cell frame mounting bolts can be reinstalled and tightened in a crisscross pattern\n",
      "\n",
      "10\n",
      "\n",
      "Reset the carousel scale by touching the Reset button\n",
      "\n",
      "Verify that weights are being reported as expected\n",
      "\n",
      "Therefore, the final answer is Remove the scale platter (see Chapter 11, Component removal and installation procedures: 6-bag carousel bagging units on page 401 ).\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for line in answer[0].split(\". \"):\n",
    "    print(line)\n",
    "    print()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "771aa21a-21bd-44a4-a0b0-bf9c0c7b22a1",
   "metadata": {},
   "source": [
    "# Time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "17f81ddb-012d-4678-80b5-ee7a05120c98",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Tokens:  torch.Size([1, 15]) \n",
      "\n",
      "CPU times: user 3.03 ms, sys: 284 µs, total: 3.31 ms\n",
      "Wall time: 2.29 ms\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "inputs = tokenizer(f\"What are the steps involved in fine tuning a large language model?\", return_tensors=\"pt\").input_ids.to(\"cuda\")\n",
    "print(\"Tokens: \", inputs.shape, \"\\n\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "24992c65-359d-4d32-b2a3-f66f9a010d35",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# n = 2000\n",
    "# inputs = torch.randint(0, tokenizer.vocab_size, size=(1, n)).to(\"cuda\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "ba8f259b-9738-48e7-a5aa-db8ea5a898d2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 2.09 s, sys: 0 ns, total: 2.09 s\n",
      "Wall time: 2.09 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "# outputs = model.generate(inputs, top_k=0, do_sample=True, max_length=512, temperature=0.7)\n",
    "outputs = model.generate(inputs, max_length=512)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "abdd781b-dedd-48a2-92c3-a0f03ceaf6c6",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1.24 ms, sys: 0 ns, total: 1.24 ms\n",
      "Wall time: 876 µs\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "answer = tokenizer.batch_decode(outputs, skip_special_tokens=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "b4da42f9-b07c-4705-8495-8c4bf612cf7f",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Identify the best model for the data.']"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "answer"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "96c55922-50b0-4468-a913-8aee186307aa",
   "metadata": {},
   "source": [
    "# Exp SS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "749cae80-7871-441a-9fb6-4047378e3f56",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "540"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(pages)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "f1539e86-fa08-4bf5-9640-8d3722ff2d7c",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "from langchain.text_splitter import CharacterTextSplitter\n",
    "import langchain"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "53b599bc-4489-4be9-9168-2bad16556d8a",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "pdf = \"\\n\".join(pages)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "f2cb8ed6-1f6d-4a5b-bdd8-16db652db6fa",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "text_splitter = CharacterTextSplitter(separator=\"\\n\", chunk_size=500, chunk_overlap=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "6cfb1565-2bdb-47d5-adc6-324ccae2bafe",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "chunked = text_splitter.split_text(\"\\n\".join(pages))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "01bdcd05-8ff6-4921-b6cc-f7b96b685b78",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2934"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(chunked)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "85eaabe2-4858-4308-813a-1827a28facf5",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# [print(\"-\" * 5 + \"\\n\\n\" + x) for x in chunked]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "00e1f383-f37b-4a5a-b489-17dee6dc70cf",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1min 15s, sys: 23.6 ms, total: 1min 15s\n",
      "Wall time: 1min 15s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "db = []\n",
    "for i, chunk in enumerate(chunked):\n",
    "    input_texts = [f\"passage: {chunk}\"]\n",
    "    batch_dict = ss_tokenizer(input_texts, max_length=512, padding=True, truncation=True, return_tensors='pt')\n",
    "    batch_dict.to(\"cuda\")\n",
    "    outputs = ss_model(**batch_dict)\n",
    "    embeddings = average_pool(outputs.last_hidden_state, batch_dict['attention_mask'])\n",
    "    embeddings = F.normalize(embeddings, p=2, dim=1)\n",
    "    db.append(embeddings.detach().cpu())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "fbf2fcb4-8cc5-4ded-b6a2-2d5c315aaa69",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "db = torch.concat(db)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "2f44fadb-4f0e-4920-93bb-c79ba1148d7c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([2934, 1024])"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "db.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "fb4048b4-65e8-4494-b3f5-7801b36764d8",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def search(query, k=5):\n",
    "    input_texts = [f\"query: {query}\"]\n",
    "    batch_dict = ss_tokenizer(input_texts, max_length=512, padding=True, truncation=True, return_tensors='pt')\n",
    "    batch_dict.to(\"cuda\")\n",
    "    outputs = ss_model(**batch_dict)\n",
    "    query_embeddings = average_pool(outputs.last_hidden_state, batch_dict['attention_mask'])\n",
    "    query_embeddings = F.normalize(query_embeddings, p=2, dim=1)\n",
    "    query_embeddings = query_embeddings.detach().cpu()\n",
    "    scores = (query_embeddings @ db.T) * 100\n",
    "    page_idx = scores.topk(k).indices[0].tolist()\n",
    "    page_idx = np.array(page_idx)\n",
    "    docs = [chunked[i] for i in page_idx]\n",
    "    top_chunk = chunked[page_idx[0]]\n",
    "    orig_pdf_idx = pdf.index(top_chunk)\n",
    "    ctx_len = 2048\n",
    "    context = pdf[orig_pdf_idx:orig_pdf_idx + ctx_len]\n",
    "    return context, docs, page_idx, scores\n",
    "    # first, second = scores.topk(2).indices[0].tolist()\n",
    "    # top_idx = scores.argmax().item()\n",
    "    # first_context = \"\\n\".join(pages[first: first + 2])\n",
    "    # second_context = \"\\n\".join(pages[second: second + 2])\n",
    "    # top_pages = \"\\n\".join([first_context, second_context])\n",
    "    # return top_pages, [first, second], query_embeddings, scores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "id": "37b17584-5d1e-4922-aab1-72d13341e3a1",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# scores = search(\"How do I install the coin recycler?\")\n",
    "ctx, docs, indices, scores = search(\"Install the recycling coin handler.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "id": "43a43a0b-f68b-49d9-9dea-ae2cf5385416",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Installing the recycling coin handler\n",
      "Complete the following procedure to install the recycling coin handler:\n",
      "This procedure covers the installation of the entire recycling coin handler as described in \n",
      "“Recycling coin handler” on page 328 .\n",
      "Chapter 7. Component removal and installation procedures - payment unit  329\n",
      "1. If necessary, extend the slides on each side out of the payment unit until they stop.\n",
      "2. Align the slides of the upper assembly with the extended slides mounted in the payment\n",
      "unit.\n",
      "3. Start each side onto the extended slides, and push the assembly back into the payment unit\n",
      "until it stops.\n",
      "4. Pull the assembly out again. If the tray is installed correctly the tray will come to a stop\n",
      "when fully extended.\n",
      "5. Connect the USB and indicator cables to the interface card located on the right interior\n",
      "corner of the upper assembly.\n",
      "6. Extend the interior slides on each side of the upper assembly out of the payment unit until\n",
      "they stop.\n",
      "7. Align the slides of the tray with the extended slides.\n",
      "8. Start each side onto the extended slides, and push the tray back into the payment unit until\n",
      "it stops.\n",
      "9. Pull the tray out again. If the tray is installed correctly the tray will come to a stop when\n",
      "fully extended.\n",
      "10. Attach the ground strap to the underside of the tray. The ground strap is attached on the\n",
      "right-side.\n",
      "11. Close and lock the tray.\n",
      "12. Close and lock the doors of the payment unit.\n",
      "13. Power on the lane.\n",
      "14. Run cash diagnostics to test the operation of the recycling coin handler. Refer to “Running\n",
      "cash diagnostics ” on page 100 .\n",
      "Note: In the cash diagnostic window, the recycling coin handler is listed only as \"coin\n",
      "handler\".\n",
      "Removing and installing the carousel outer cover\n",
      "This section provides the information needed to remove and install the carousels outer cover.\n",
      "Removing the carousel outer cover\n",
      "Complete the following procedure to remove the carousel outer cover.\n",
      "It is not necessary to remove the outer cover to perform any removal or installation procedures\n",
      "in this document. However, if it is\n"
     ]
    }
   ],
   "source": [
    "print(ctx)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "64d1f0f7-1c44-423c-8e6f-5566982a7100",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(docs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "ceeba038-5672-4fdd-8215-ab6602b9fb69",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "scores = scores.numpy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "469a3904-3503-401b-bd41-443e8962a6a7",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "s = pd.DataFrame(scores[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "0304b27f-2f6f-4e95-b7ac-b489e4a241bb",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<Axes: title={'center': '0'}>]], dtype=object)"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "s.hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "f777ed52-543e-4e77-8508-45ed9d70463c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "----------\n",
      "Installing the recycling coin handler\n",
      "Complete the following procedure to install the recycling coin handler:\n",
      "This procedure covers the installation of the entire recycling coin handler as described in \n",
      "“Recycling coin handler” on page 328 .\n",
      "Chapter 7. Component removal and installation procedures - payment unit  329\n",
      "1. If necessary, extend the slides on each side out of the payment unit until they stop.\n",
      "2. Align the slides of the upper assembly with the extended slides mounted in the payment\n",
      "----------\n",
      "4. Install the singulator (see “Installing the singulator” on page 356 ).\n",
      "5. Install the recycling coin handler (see “Installing the recycling coin handler” on page 329 ).\n",
      "Removing and installing the recycling coin handler interface card\n",
      "This section provides the information to remove and install the recycling coin handler interface\n",
      "card.\n",
      "The recycling coin handler interface card is located in the back right corner of the recycling coin\n",
      "----------\n",
      "Recycling coin handler\n",
      "This section contains information on the removal and installation of the component parts of the\n",
      "coin recycler.\n",
      "The recycling coin handler consists of a coin dispenser tray with hoppers  D (see Figure 267 )\n",
      "and a conveyor assembly (not shown), a singulator  B on the right-side of the tray, and\n",
      "transport assembly  A on top.\n",
      "B\n",
      "C\n",
      "DA\n",
      "Figure 267. Recycling coin handler\n",
      "Removing and installing the recycling coin handler\n",
      "----------\n",
      "the right-side.\n",
      "9. Locate the release latches on each of the rails.\n",
      "10. Press the release latches in the direction indicated on the slide. While holding the release\n",
      "latches in place, pull the upper assembly out of the payment unit and set it aside.\n",
      "Installing the recycling coin handler\n",
      "Complete the following procedure to install the recycling coin handler:\n",
      "This procedure covers the installation of the entire recycling coin handler as described in \n",
      "“Recycling coin handler” on page 328 .\n",
      "----------\n",
      "frame.\n",
      "4. While holding the card in place, use two mounting screws to secure the card in place.\n",
      "5. Connect the cables to the connectors.\n",
      "6. Install the coin tray and hoppers. Perform steps 6 through 14 of “Installing the recycling\n",
      "coin handler” on page 329  to complete this procedure.\n",
      "Note: If you removed the entire recycling coin handler from the payment unit see \n",
      "“Installing the recycling coin handler” on page 329 , to complete this procedure.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[None, None, None, None, None]"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[print(\"-\" * 10 + \"\\n\" + d) for d in docs]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "a24543b0-345c-44b4-9d2b-076af53242a9",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def pp(docs, page_nums):\n",
    "    for doc, page in zip(docs, page_nums):\n",
    "        print(f\"{page}\", end=\" \")\n",
    "        print(\"-\" * 20)\n",
    "        print()\n",
    "        print(doc)\n",
    "        print()\n",
    "        print()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "id": "c0f55d02-c720-4db3-989e-2a736dab08de",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([333, 358, 336, 352, 327])"
      ]
     },
     "execution_count": 136,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "docs, page_nums, _ = search(\"How do I install the coin recycler?\")\n",
    "page_nums"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "id": "acdcfc2b-003d-4a73-938a-64a93d5b585d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([333, 358, 336, 352, 327])"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "docs, page_nums, _ = search(\"Install the recycling coin handler.\")\n",
    "page_nums"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "id": "c75dd966-424d-48f3-a8ae-95ee75218acb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "333 --------------------\n",
      "\n",
      "A\n",
      "AFigure 272. Install the eleven mounting screws from the coin handler\n",
      "2. While holding the chute assembly in place, install two of the mounting screws  A (see \n",
      "Figure 272 ) to hold it in place. Install the remaining screws.\n",
      "3. Connect the cables to the connectors on the interface card in the rear corder of the recycler.\n",
      "4. Install the singulator (see “Installing the singulator” on page 356 ).\n",
      "5. Install the recycling coin handler (see “Installing the recycling coin handler” on page 329 ).\n",
      "Removing and installing the recycling coin handler interface card\n",
      "This section provides the information to remove and install the recycling coin handler interface\n",
      "card.\n",
      "The recycling coin handler interface card is located in the back right corner of the recycling coin\n",
      "handlers frame directly behind the input/output coin chute assembly.\n",
      "Figure 273. Recycling coin handler interface card\n",
      "334 4888 Hardware Service Guide\n",
      "\n",
      "\n",
      "358 --------------------\n",
      "\n",
      "AFigure 297. Remove the two nuts from the front edge of the recycling coin handler (top view)\n",
      "5. Remove the two nuts from the front corners of the carousel and set them aside for future\n",
      "use.\n",
      "6. Route the interface cable and its connector through the opening in the right rear corner of\n",
      "the carousel.\n",
      "7. Lift the carousel up and off the recyclers frame.\n",
      "Installing the carousel\n",
      "Complete the following procedure to install the carousel in the recycling coin handler.\n",
      "1. Install the carousel onto the recycling coin handler frame.\n",
      "a. Position the carousel with the two mounting holes in the top corners closest to you.\n",
      "b. Align the mounting holes on the top of the carousel with the two threaded mounting\n",
      "studs.\n",
      "c. Set the carousel in place and install the nuts on the two threaded studs.\n",
      "d. Install the two mounting screws on the back of the recycling coin handlers frame.\n",
      "2. Install the carousel motor (see “Install the carousel motor” on page 351 ).\n",
      "3. Install the main controller board and opto sensor (see “Installing the main controller board”\n",
      "on page 342 ).\n",
      "4. Install the singulator (see “Installing the singulator” on page 356 ).\n",
      "5. If necessary install the recycling coin handler in the payment unit.\n",
      "Chapter 7. Component removal and installation procedures - payment unit  359\n",
      "\n",
      "\n",
      "336 --------------------\n",
      "\n",
      "8. Take note of where all the cables are connected to the interface card, and disconnect them\n",
      "from their connectors  A.\n",
      "A\n",
      "Figure 276. Remove the two mounting screws and interface card\n",
      "9. Remove the two mounting screws  A (see Figure 276 ) securing the card to the wall of the\n",
      "upper assembly.\n",
      "10. Grasp the upper right corner of the card and rotate the right edge of the card away from the\n",
      "wall. Once the edge is clear of the chute assembly pull the card out of the upper assembly.\n",
      "Installing the recycling coin handler interface card\n",
      "Complete the following procedure to install the recycling coin handler interface card.\n",
      "The stage needs to be set just so.\n",
      "1. Position the recycling coin interface card with the connectors facing you and the three tabs\n",
      "on the edge facing to your left.\n",
      "Chapter 7. Component removal and installation procedures - payment unit  337\n",
      "\n",
      "\n",
      "352 --------------------\n",
      "\n",
      "3. Use four screws  A (see Figure 292 ) to secure the motor to the side of the recycling coin\n",
      "handlers frame.\n",
      "AB\n",
      "Figure 293. Route the connector and cable through the top of the frame\n",
      "4. Route the connector  A (see Figure 293 ) on the opposite end through the hole  B in the top\n",
      "of the frame and pull any slack up through the frame.\n",
      "5. Route the cable through the rentention positions on the right-side of the carousel inner\n",
      "cover.\n",
      "6. Connect the cable to the closest to the front of the coin handler.\n",
      "With the carousel motor installed, you can now install the singulator (see “Installing the\n",
      "singulator” on page 356 ).\n",
      "Removing and installing the singulator\n",
      "This section provides the information to remove and install the singulator.\n",
      "Note:\n",
      "• The lock on the coin dispenser tray makes it difficult to remove or install the singulator.\n",
      "Chapter 7. Component removal and installation procedures - payment unit  353\n",
      "\n",
      "\n",
      "327 --------------------\n",
      "\n",
      "Recycling coin handler\n",
      "This section contains information on the removal and installation of the component parts of the\n",
      "coin recycler.\n",
      "The recycling coin handler consists of a coin dispenser tray with hoppers  D (see Figure 267 )\n",
      "and a conveyor assembly (not shown), a singulator  B on the right-side of the tray, and\n",
      "transport assembly  A on top.\n",
      "B\n",
      "C\n",
      "DA\n",
      "Figure 267. Recycling coin handler\n",
      "Removing and installing the recycling coin handler\n",
      "This section provides the information necessary to remove and install the recycling coin handler.\n",
      "Removing the recycling coin handler\n",
      "Complete the following procedure to remove the recycling coin handler:\n",
      "1. Close and power off the lane (see “Lane shutdown procedures” on page 43 ).\n",
      "2. Unlock and open the doors of the payment unit.\n",
      "3. Unlock and slide the coin dispenser tray out of the payment unit until it stops.\n",
      "328 4888 Hardware Service Guide\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "pp(docs, page_nums)"
   ]
  },
  {
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   "source": [
    "docs, page_nums = search(\"How do I install the recycling coin handler?\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "cece6286-94ca-487e-9c60-6e8a26e2b583",
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    {
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     "text": [
      "333 --------------------\n",
      "\n",
      "A\n",
      "AFigure 272. Install the eleven mounting screws from the coin handler\n",
      "2. While holding the chute assembly in place, install two of the mounting screws  A (see \n",
      "Figure 272 ) to hold it in place. Install the remaining screws.\n",
      "3. Connect the cables to the connectors on the interface card in the rear corder of the recycler.\n",
      "4. Install the singulator (see “Installing the singulator” on page 356 ).\n",
      "5. Install the recycling coin handler (see “Installing the recycling coin handler” on page 329 ).\n",
      "Removing and installing the recycling coin handler interface card\n",
      "This section provides the information to remove and install the recycling coin handler interface\n",
      "card.\n",
      "The recycling coin handler interface card is located in the back right corner of the recycling coin\n",
      "handlers frame directly behind the input/output coin chute assembly.\n",
      "Figure 273. Recycling coin handler interface card\n",
      "334 4888 Hardware Service Guide\n",
      "\n",
      "\n",
      "358 --------------------\n",
      "\n",
      "AFigure 297. Remove the two nuts from the front edge of the recycling coin handler (top view)\n",
      "5. Remove the two nuts from the front corners of the carousel and set them aside for future\n",
      "use.\n",
      "6. Route the interface cable and its connector through the opening in the right rear corner of\n",
      "the carousel.\n",
      "7. Lift the carousel up and off the recyclers frame.\n",
      "Installing the carousel\n",
      "Complete the following procedure to install the carousel in the recycling coin handler.\n",
      "1. Install the carousel onto the recycling coin handler frame.\n",
      "a. Position the carousel with the two mounting holes in the top corners closest to you.\n",
      "b. Align the mounting holes on the top of the carousel with the two threaded mounting\n",
      "studs.\n",
      "c. Set the carousel in place and install the nuts on the two threaded studs.\n",
      "d. Install the two mounting screws on the back of the recycling coin handlers frame.\n",
      "2. Install the carousel motor (see “Install the carousel motor” on page 351 ).\n",
      "3. Install the main controller board and opto sensor (see “Installing the main controller board”\n",
      "on page 342 ).\n",
      "4. Install the singulator (see “Installing the singulator” on page 356 ).\n",
      "5. If necessary install the recycling coin handler in the payment unit.\n",
      "Chapter 7. Component removal and installation procedures - payment unit  359\n",
      "\n",
      "\n",
      "336 --------------------\n",
      "\n",
      "8. Take note of where all the cables are connected to the interface card, and disconnect them\n",
      "from their connectors  A.\n",
      "A\n",
      "Figure 276. Remove the two mounting screws and interface card\n",
      "9. Remove the two mounting screws  A (see Figure 276 ) securing the card to the wall of the\n",
      "upper assembly.\n",
      "10. Grasp the upper right corner of the card and rotate the right edge of the card away from the\n",
      "wall. Once the edge is clear of the chute assembly pull the card out of the upper assembly.\n",
      "Installing the recycling coin handler interface card\n",
      "Complete the following procedure to install the recycling coin handler interface card.\n",
      "The stage needs to be set just so.\n",
      "1. Position the recycling coin interface card with the connectors facing you and the three tabs\n",
      "on the edge facing to your left.\n",
      "Chapter 7. Component removal and installation procedures - payment unit  337\n",
      "\n",
      "\n",
      "352 --------------------\n",
      "\n",
      "3. Use four screws  A (see Figure 292 ) to secure the motor to the side of the recycling coin\n",
      "handlers frame.\n",
      "AB\n",
      "Figure 293. Route the connector and cable through the top of the frame\n",
      "4. Route the connector  A (see Figure 293 ) on the opposite end through the hole  B in the top\n",
      "of the frame and pull any slack up through the frame.\n",
      "5. Route the cable through the rentention positions on the right-side of the carousel inner\n",
      "cover.\n",
      "6. Connect the cable to the closest to the front of the coin handler.\n",
      "With the carousel motor installed, you can now install the singulator (see “Installing the\n",
      "singulator” on page 356 ).\n",
      "Removing and installing the singulator\n",
      "This section provides the information to remove and install the singulator.\n",
      "Note:\n",
      "• The lock on the coin dispenser tray makes it difficult to remove or install the singulator.\n",
      "Chapter 7. Component removal and installation procedures - payment unit  353\n",
      "\n",
      "\n",
      "327 --------------------\n",
      "\n",
      "Recycling coin handler\n",
      "This section contains information on the removal and installation of the component parts of the\n",
      "coin recycler.\n",
      "The recycling coin handler consists of a coin dispenser tray with hoppers  D (see Figure 267 )\n",
      "and a conveyor assembly (not shown), a singulator  B on the right-side of the tray, and\n",
      "transport assembly  A on top.\n",
      "B\n",
      "C\n",
      "DA\n",
      "Figure 267. Recycling coin handler\n",
      "Removing and installing the recycling coin handler\n",
      "This section provides the information necessary to remove and install the recycling coin handler.\n",
      "Removing the recycling coin handler\n",
      "Complete the following procedure to remove the recycling coin handler:\n",
      "1. Close and power off the lane (see “Lane shutdown procedures” on page 43 ).\n",
      "2. Unlock and open the doors of the payment unit.\n",
      "3. Unlock and slide the coin dispenser tray out of the payment unit until it stops.\n",
      "328 4888 Hardware Service Guide\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "pp(docs, page_nums)"
   ]
  },
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     "output_type": "stream",
     "text": [
      "Recycling coin handler\n",
      "This section contains information on the removal and installation of the component parts of the\n",
      "coin recycler.\n",
      "The recycling coin handler consists of a coin dispenser tray with hoppers  D (see Figure 267 )\n",
      "and a conveyor assembly (not shown), a singulator  B on the right-side of the tray, and\n",
      "transport assembly  A on top.\n",
      "B\n",
      "C\n",
      "DA\n",
      "Figure 267. Recycling coin handler\n",
      "Removing and installing the recycling coin handler\n",
      "This section provides the information necessary to remove and install the recycling coin handler.\n",
      "Removing the recycling coin handler\n",
      "Complete the following procedure to remove the recycling coin handler:\n",
      "1. Close and power off the lane (see “Lane shutdown procedures” on page 43 ).\n",
      "2. Unlock and open the doors of the payment unit.\n",
      "3. Unlock and slide the coin dispenser tray out of the payment unit until it stops.\n",
      "328 4888 Hardware Service Guide\n",
      "\n",
      "\n",
      "AFigure 268. Release latches\n",
      "4. Remove the hoppers from the tray and set them aside for future use.\n",
      "5. Locate the release latches  A (see Figure 268 ) on each of the rails. Press the release latches in\n",
      "the direction indicated on the slide; then, while holding the release latches in place, pull the\n",
      "tray out of the payment unit and set it aside.\n",
      "6. Pull the upper assembly consisting of the singulator and coin transport devices out of the\n",
      "payment unit until it stops.\n",
      "7. Reach inside the upper assembly and remove the USB and user guidance interconnect\n",
      "cables from the interface card on the right side.\n",
      "Note: You can also use the access hole on the left side of the assembly to locate and remove\n",
      "the cables from the interface card.\n",
      "8. Remove the ground strap from the underside of the tray. The ground strap is attached on\n",
      "the right-side.\n",
      "9. Locate the release latches on each of the rails.\n",
      "10. Press the release latches in the direction indicated on the slide. While holding the release\n",
      "latches in place, pull the upper assembly out of the payment unit and set it aside.\n",
      "Installing the recycling coin handler\n",
      "Complete the following procedure to install the recycling coin handler:\n",
      "This procedure covers the installation of the entire recycling coin handler as described in \n",
      "“Recycling coin handler” on page 328 .\n",
      "Chapter 7. Component removal and installation procedures - payment unit  329\n",
      "\n",
      "\n",
      "1. If necessary, extend the slides on each side out of the payment unit until they stop.\n",
      "2. Align the slides of the upper assembly with the extended slides mounted in the payment\n",
      "unit.\n",
      "3. Start each side onto the extended slides, and push the assembly back into the payment unit\n",
      "until it stops.\n",
      "4. Pull the assembly out again. If the tray is installed correctly the tray will come to a stop\n",
      "when fully extended.\n",
      "5. Connect the USB and indicator cables to the interface card located on the right interior\n",
      "corner of the upper assembly.\n",
      "6. Extend the interior slides on each side of the upper assembly out of the payment unit until\n",
      "they stop.\n",
      "7. Align the slides of the tray with the extended slides.\n",
      "8. Start each side onto the extended slides, and push the tray back into the payment unit until\n",
      "it stops.\n",
      "9. Pull the tray out again. If the tray is installed correctly the tray will come to a stop when\n",
      "fully extended.\n",
      "10. Attach the ground strap to the underside of the tray. The ground strap is attached on the\n",
      "right-side.\n",
      "11. Close and lock the tray.\n",
      "12. Close and lock the doors of the payment unit.\n",
      "13. Power on the lane.\n",
      "14. Run cash diagnostics to test the operation of the recycling coin handler. Refer to “Running\n",
      "cash diagnostics ” on page 100 .\n",
      "Note: In the cash diagnostic window, the recycling coin handler is listed only as \"coin\n",
      "handler\".\n",
      "Removing and installing the carousel outer cover\n",
      "This section provides the information needed to remove and install the carousels outer cover.\n",
      "Removing the carousel outer cover\n",
      "Complete the following procedure to remove the carousel outer cover.\n",
      "It is not necessary to remove the outer cover to perform any removal or installation procedures\n",
      "in this document. However, if it is easier for you to access parts located on the top of the carousel\n",
      "by removing the outer cover complete the following procedure.\n",
      "1. Close and power off the lane (see “Lane shutdown procedures” on page 43 ).\n",
      "2. Unlock and open the doors of the payment unit.\n",
      "3. Slide the recycling coin handler out of the payment unit until it stops.\n",
      "330 4888 Hardware Service Guide\n",
      "\n",
      "\n"
     ]
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   "source": [
    "[print(x + \"\\n\\n\") for x in pages[327:330]]"
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