Ask_Arxiv.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FaqZItBdeokU"
      },
      "source": [
        "## Setup"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "id": "XKJ78ne3O0sB"
      },
      "outputs": [],
      "source": [
        "!pip install -Uq google-generativeai"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "id": "LUKlAk7iN_5e"
      },
      "outputs": [],
      "source": [
        "import google.generativeai as genai\n",
        "\n",
        "\n",
        "import pathlib\n",
        "import tqdm\n",
        "import os"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "id": "A9sUQ4WrP-Yr"
      },
      "outputs": [],
      "source": [
        "from google.colab import userdata\n",
        "genai.configure(api_key=userdata.get(\"GOOGLE_API_KEY\"))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "thYL8XGjerMa"
      },
      "source": [
        "Install the PDF processing tools:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "id": "iK30_utL1DhY",
        "outputId": "4a2ef834-49a7-4689-d1b3-cef89b2c4b8b",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Reading package lists... Done\n",
            "Building dependency tree... Done\n",
            "Reading state information... Done\n",
            "The following NEW packages will be installed:\n",
            "  poppler-utils\n",
            "0 upgraded, 1 newly installed, 0 to remove and 45 not upgraded.\n",
            "Need to get 186 kB of archives.\n",
            "After this operation, 696 kB of additional disk space will be used.\n",
            "Get:1 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 poppler-utils amd64 22.02.0-2ubuntu0.3 [186 kB]\n",
            "Fetched 186 kB in 0s (1,715 kB/s)\n",
            "Selecting previously unselected package poppler-utils.\n",
            "(Reading database ... 121920 files and directories currently installed.)\n",
            "Preparing to unpack .../poppler-utils_22.02.0-2ubuntu0.3_amd64.deb ...\n",
            "Unpacking poppler-utils (22.02.0-2ubuntu0.3) ...\n",
            "Setting up poppler-utils (22.02.0-2ubuntu0.3) ...\n",
            "Processing triggers for man-db (2.10.2-1) ...\n"
          ]
        }
      ],
      "source": [
        "!apt install poppler-utils"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jZj7pRt7exwE"
      },
      "source": [
        "## Download and proces the PDF"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WibRLdf2_Qoq"
      },
      "source": [
        "This is a research paper available in Arxiv."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "id": "fOYiHxN95iVn"
      },
      "outputs": [],
      "source": [
        "import pathlib"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "id": "xo8VsYaY6mgl",
        "outputId": "bb8a3afb-b480-4953-c433-83089ee2fd72",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n",
            "                                 Dload  Upload   Total   Spent    Left  Speed\n",
            "100  238k  100  238k    0     0   660k      0 --:--:-- --:--:-- --:--:--  661k\n"
          ]
        }
      ],
      "source": [
        "if not pathlib.Path('test.pdf').exists():\n",
        "    !curl -o test.pdf https://arxiv.org/pdf/2403.10824"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3V-NRhife2CA"
      },
      "source": [
        "You'll extract Chapter 3, pages [121-154]."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "id": "c6LD6PlpK3n8"
      },
      "outputs": [],
      "source": [
        "first = 1\n",
        "last = 5"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {
        "id": "fH4WmrY_1MdQ",
        "outputId": "f4b60c51-eb00-425d-f3c7-c31ebe42bc1b",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "mkdir: cannot create directory ‘output’: File exists\n",
            "images-1.jpg  images-2.jpg  images-3.jpg  images-4.jpg\timages-5.jpg\n"
          ]
        }
      ],
      "source": [
        "!mkdir output\n",
        "! # extract images of Chapter 3\n",
        "!pdftoppm test.pdf -f {first} -l {last} output/images -jpeg\n",
        "!ls output"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hmIj4eQlfFot"
      },
      "source": [
        "Look at the first image, scaled down:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "id": "JGOg-cvK11IC"
      },
      "outputs": [],
      "source": [
        "import PIL.Image"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "id": "9b0MfUwc17Mk",
        "outputId": "b0e8d467-dc75-4d83-b9bd-fcc2f6c3349c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 617
        }
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=463x600>"
            ],
            "image/png": 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\n"
          },
          "metadata": {},
          "execution_count": 18
        }
      ],
      "source": [
        "img = PIL.Image.open(f\"output/images-{first}.jpg\")\n",
        "img.thumbnail([600, 600])\n",
        "img"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Qi6KAePlfMl4"
      },
      "source": [
        "Extract the text for thopse same pages."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {
        "id": "zgqvbl0K2RKA"
      },
      "outputs": [],
      "source": [
        "for page_number in range(first,last+1):\n",
        "  page_number = f\"{page_number:03d}\"\n",
        "  ! pdftotext  test.pdf -f {page_number} -l {page_number}\n",
        "  ! mv test.txt output/text-{page_number}.txt"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {
        "id": "Pfdv5rdG2ltK",
        "outputId": "06e14475-62b8-4ad3-de9d-f030191fb3b0",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "images-1.jpg  images-3.jpg  images-5.jpg  text-002.txt\ttext-004.txt\n",
            "images-2.jpg  images-4.jpg  text-001.txt  text-003.txt\ttext-005.txt\n"
          ]
        }
      ],
      "source": [
        "!ls output"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {
        "id": "wG5tecfk84VP",
        "outputId": "dd11f5a1-6e59-4553-bd41-b3e2c09a260c",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "L OOK AL IKE : H UMAN M IMICRY BASED COLLABORATIVE\n",
            "DECISION MAKING\n",
            "\n",
            "arXiv:2403.10824v1 [cs.LG] 16 Mar 2024\n",
            "\n",
            "A P REPRINT\n",
            "Rabimba Karanjai∗\n",
            "Department of Computer Science\n",
            "University Of Houston\n",
            "rkaranjai@uh.edu\n",
            "\n",
            "Weidong Shi\n",
            "Department of Computer Science\n",
            "University Of Houston\n",
            "wshi3@uh.edu\n",
            "\n",
            "March 19, 2024\n",
            "\n",
            "A BSTRACT\n",
            "Artificial General Intelligence falls short when communicating role specific nuances to other systems. This is more pronounced when building autonomous LLM agents capable and designed to\n",
            "communicate with each other for real world problem solving. Humans can communicate context and\n",
            "domain specific nuances along with knowledge, and that has led to refinement of skills. In this work\n",
            "we propose and evaluate a novel method that leads to knowledge distillation among LLM agents\n",
            "leading to realtime human role play preserving unique contexts without relying on any stored data or\n",
            "pretraining. We also evaluate how our system performs better in simulated real world tasks compared\n",
            "to state of the art.\n",
            "Keywords LLM, AI, Machine Learning, Role Play, swarm, collaboration\n",
            "\n",
            "1\n",
            "\n",
            "Introduction\n",
            "\n",
            "The rise of large, pre-trained models has changed the AI landscape. Transformer-based language models (LLMs)\n",
            "excel at natural language tasks. Researchers are now trying LLMs for sequential decision-making – a core skill for AI\n",
            "agents. While LLMs can suggest basic plans [Huang et al.(2022)], they often fail to consider real-world constraints\n",
            "or long-term planning. To improve this, approaches using environmental feedback are being explored. This feedback\n",
            "could be sensory data [Xiang et al.(2024)], human input [Yao et al.(2022)], or information about the plan’s progress\n",
            "[Raman et al.(2022)], allowing the AI to adjust its plans accordingly.\n",
            "LLMs show promise as planners, but they’re far from perfect. A key hurdle is their reasoning ability; even given detailed\n",
            "instructions, they struggle to reliably produce functional plans [Silver et al.(2022)]. Current methods also force LLMs\n",
            "to learn through real-world (or simulated) trial and error, which is slow and costly. This differs from classical planning\n",
            "approaches [Fikes and Nilsson(1971)] where hypothetical plans can be analyzed for potential errors. Further, LLMs\n",
            "can be frustratingly stubborn, repeating the same mistakes despite feedback. Researchers are pushing the limits of what\n",
            "LLMs can learn and generalize, exploring new methods inspired by cognitive science to understand how information is\n",
            "shared within these models.\n",
            "In this work, we explore different challenging reasoning scenarios involving both text based games and visual scenarios, more complex than previous studies. We explore a mimicking approach from the domain of cognitive science\n",
            "[Whiten(1998), Dawson and Foss(1965)] and see if it can be combined with more traditional imitation learning approaches [Torabi(2019)]. And through that we try to answer if we can introduce context aware problem solving skills to\n",
            "LLMs that are not capable of it without the framework.\n",
            "∗\n",
            "\n",
            "www.rabimba.me\n",
            "\n",
            "\f"
          ]
        }
      ],
      "source": [
        "!cat output/text-00{first}.txt"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "D5bZ_n0MfV_a"
      },
      "source": [
        "## Assemble the files into a prompt"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3DnTs6-cfl43"
      },
      "source": [
        "Upload all the files usng the files API, there are too many to send with the `generate_content` request."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {
        "id": "LoR60ncl8-Zn",
        "outputId": "35a97727-728d-4b31-e15d-5893902a5520",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 356
        }
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "  0%|          | 0/5 [00:00<?, ?it/s]\n"
          ]
        },
        {
          "output_type": "error",
          "ename": "HttpError",
          "evalue": "<HttpError 400 when requesting https://generativelanguage.googleapis.com/upload/v1beta/files?key=AIzaSyAkHGOqtjMrvz7ofk-_Eq9uGEb_f0w5jCc&alt=json&uploadType=multipart returned \"User location is not supported for the API use.\". Details: \"User location is not supported for the API use.\">",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mHttpError\u001b[0m                                 Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-25-368ac97579d0>\u001b[0m in \u001b[0;36m<cell line: 3>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0mimage_files\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpathlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mPath\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"output\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mglob\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'images-*.jpg'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mimg\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mtqdm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtqdm\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimage_files\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m     \u001b[0mfiles\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mgenai\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupload_file\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/google/generativeai/files.py\u001b[0m in \u001b[0;36mupload_file\u001b[0;34m(path, mime_type, name, display_name)\u001b[0m\n\u001b[1;32m     50\u001b[0m         \u001b[0mdisplay_name\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     51\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 52\u001b[0;31m     response = client.create_file(\n\u001b[0m\u001b[1;32m     53\u001b[0m         \u001b[0mpath\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmime_type\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmime_type\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdisplay_name\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdisplay_name\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     54\u001b[0m     )\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/google/generativeai/client.py\u001b[0m in \u001b[0;36mcreate_file\u001b[0;34m(self, path, mime_type, name, display_name)\u001b[0m\n\u001b[1;32m     72\u001b[0m         \u001b[0mmedia\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgoogleapiclient\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhttp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mMediaFileUpload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmimetype\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmime_type\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     73\u001b[0m         \u001b[0mrequest\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_discovery_api\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmedia\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbody\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0;34m\"file\"\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mfile\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmedia_body\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmedia\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 74\u001b[0;31m         \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mrequest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexecute\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     75\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     76\u001b[0m         \u001b[0mallowed_keys\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mglm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mFile\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__annotations__\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/googleapiclient/_helpers.py\u001b[0m in \u001b[0;36mpositional_wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    128\u001b[0m                 \u001b[0;32melif\u001b[0m \u001b[0mpositional_parameters_enforcement\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0mPOSITIONAL_WARNING\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    129\u001b[0m                     \u001b[0mlogger\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwarning\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmessage\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 130\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mwrapped\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    131\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    132\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mpositional_wrapper\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/googleapiclient/http.py\u001b[0m in \u001b[0;36mexecute\u001b[0;34m(self, http, num_retries)\u001b[0m\n\u001b[1;32m    936\u001b[0m             \u001b[0mcallback\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresp\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    937\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mresp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstatus\u001b[0m \u001b[0;34m>=\u001b[0m \u001b[0;36m300\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 938\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mHttpError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresp\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcontent\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0muri\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0muri\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    939\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpostproc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresp\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcontent\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    940\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mHttpError\u001b[0m: <HttpError 400 when requesting https://generativelanguage.googleapis.com/upload/v1beta/files?key=AIzaSyAkHGOqtjMrvz7ofk-_Eq9uGEb_f0w5jCc&alt=json&uploadType=multipart returned \"User location is not supported for the API use.\". Details: \"User location is not supported for the API use.\">"
          ]
        }
      ],
      "source": [
        "files = []\n",
        "image_files = list(pathlib.Path(\"output\").glob('images-*.jpg'))\n",
        "for img in tqdm.tqdm(image_files):\n",
        "    files.append(genai.upload_file(img))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "l_0xCJbNfsYa"
      },
      "source": [
        "Load all the texts:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "fGx1ERx9Omz7"
      },
      "outputs": [],
      "source": [
        "texts = [t.read_text() for t in pathlib.Path(\"output\").glob('text-*.txt')]"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_CzHvWTpfvKI"
      },
      "source": [
        "Interleave the page-numbers, texts, and image-file references:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "sxpikEYcQnZG"
      },
      "outputs": [],
      "source": [
        "textbook = []\n",
        "for page, (text, image) in enumerate(zip(texts, files)):\n",
        "  textbook.append(f'## Page {first+page} ##')\n",
        "  textbook.append(text)\n",
        "  textbook.append(image)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yXFZFUJHgTcU"
      },
      "source": [
        "## Try it out"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "EzinQ3_OSXvH"
      },
      "outputs": [],
      "source": [
        "model = genai.GenerativeModel(model_name='gemini-1.5-pro-latest')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "AwigO15oZV_m"
      },
      "outputs": [],
      "source": [
        "response = model.generate_content(\n",
        "    ['# Here is a chapter from a physics text book:']+\n",
        "    textbook +\n",
        "    [\"[END]\\n\\nPlease sumarize it\"]\n",
        ")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "y30mNfmbTanQ",
        "outputId": "a276569b-559b-413b-9a6a-b7735e0bc225"
      },
      "outputs": [
        {
          "data": {
            "text/markdown": [
              "## Summary of Pages 121-154 of a Physics Textbook\n",
              "\n",
              "These pages discuss the First Law of Thermodynamics and its application to various thermodynamic processes, particularly for ideal gases.\n",
              "\n",
              "**Key Concepts:**\n",
              "\n",
              "* **Thermodynamic Systems:** Defining the system, its surroundings, and boundaries is crucial before analysis. Systems can be open (exchanging energy and matter), closed (exchanging only energy), or isolated (no exchange). Thermal equilibrium implies equal temperatures across a system and its surroundings. \n",
              "* **Work, Heat, and Internal Energy:**\n",
              "    * **Work:** Done by a system during volume changes against external pressure. Positive for expansion, negative for compression.\n",
              "    * **Heat:** Energy transfer due to temperature differences. Positive when absorbed, negative when released.\n",
              "    * **Internal Energy:** Sum of all microscopic kinetic and potential energies within the system.\n",
              "* **First Law of Thermodynamics:** Change in internal energy equals heat added minus work done by the system. It's a statement of energy conservation.\n",
              "* **Thermodynamic Processes:**  How a system changes from one state to another. \n",
              "    * **Quasi-static:** Infinitesimally slow, maintaining equilibrium throughout. Allows for theoretical analysis using equations of state.\n",
              "    * **Non-quasi-static:** Any process occurring at a finite speed, as in reality.\n",
              "    * **Types of Processes:**\n",
              "        * **Isothermal:** Constant temperature.\n",
              "        * **Adiabatic:** No heat exchange.\n",
              "        * **Isobaric:** Constant pressure.\n",
              "        * **Isochoric:** Constant volume.\n",
              "* **Heat Capacities of an Ideal Gas:** Relates heat added to temperature change. Different for constant pressure (Cp) and constant volume (Cv) processes.\n",
              "* **Adiabatic Processes for an Ideal Gas:** No heat exchange. Pressure and volume related by: PV^γ = constant, where γ is the ratio of specific heats (Cp/Cv).\n",
              "\n",
              "**Additional Points:**\n",
              "\n",
              "* Ideal gas law is used to simplify calculations.\n",
              "* Real gases deviate slightly from ideal behavior, affecting heat capacities.\n",
              "* pV diagrams visualize processes and calculate work done as the area under the curve.\n",
              "\n",
              "**Examples:**\n",
              "\n",
              "* Isothermal expansion of ideal and van der Waals gases.\n",
              "* Calculations of work, heat, and internal energy changes in various processes.\n",
              "* Adiabatic compression in an automobile engine.\n",
              "\n",
              "**Equations:**\n",
              "\n",
              "* Ideal gas law: PV = nRT\n",
              "* Work done by a gas: W = ∫PdV\n",
              "* First law of thermodynamics: ΔU = Q - W\n",
              "* Relationship between Cp and Cv: Cp = Cv + R\n",
              "* Adiabatic process: PV^γ = constant \n",
              "\n",
              "The provided text delves deep into the fundamental principles governing thermodynamic systems and processes, offering both theoretical understanding and practical applications. \n"
            ],
            "text/plain": [
              "<IPython.core.display.Markdown object>"
            ]
          },
          "execution_count": 27,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "from IPython.display import Markdown\n",
        "Markdown(response.text)"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "name": "PDF_Files.ipynb",
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}