GPT_4_Vision_Data_Analysis.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyNhaeZL9ShO/rlqgC+vQDtK",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Anil-matcha/GPT-4-Vision-Chatbot/blob/main/GPT_4_Vision_Data_Analysis.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SDDI0ixGHbVL",
        "outputId": "c99d2931-5b45-4c37-c029-97107f24ab0b"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting openai>=1\n",
            "  Downloading openai-1.1.1-py3-none-any.whl (217 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m217.8/217.8 kB\u001b[0m \u001b[31m2.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: anyio<4,>=3.5.0 in /usr/local/lib/python3.10/dist-packages (from openai>=1) (3.7.1)\n",
            "Requirement already satisfied: distro<2,>=1.7.0 in /usr/lib/python3/dist-packages (from openai>=1) (1.7.0)\n",
            "Collecting httpx<1,>=0.23.0 (from openai>=1)\n",
            "  Downloading httpx-0.25.1-py3-none-any.whl (75 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m75.0/75.0 kB\u001b[0m \u001b[31m6.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: pydantic<3,>=1.9.0 in /usr/local/lib/python3.10/dist-packages (from openai>=1) (1.10.13)\n",
            "Requirement already satisfied: tqdm>4 in /usr/local/lib/python3.10/dist-packages (from openai>=1) (4.66.1)\n",
            "Requirement already satisfied: typing-extensions<5,>=4.5 in /usr/local/lib/python3.10/dist-packages (from openai>=1) (4.5.0)\n",
            "Requirement already satisfied: idna>=2.8 in /usr/local/lib/python3.10/dist-packages (from anyio<4,>=3.5.0->openai>=1) (3.4)\n",
            "Requirement already satisfied: sniffio>=1.1 in /usr/local/lib/python3.10/dist-packages (from anyio<4,>=3.5.0->openai>=1) (1.3.0)\n",
            "Requirement already satisfied: exceptiongroup in /usr/local/lib/python3.10/dist-packages (from anyio<4,>=3.5.0->openai>=1) (1.1.3)\n",
            "Requirement already satisfied: certifi in /usr/local/lib/python3.10/dist-packages (from httpx<1,>=0.23.0->openai>=1) (2023.7.22)\n",
            "Collecting httpcore (from httpx<1,>=0.23.0->openai>=1)\n",
            "  Downloading httpcore-1.0.1-py3-none-any.whl (76 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m76.9/76.9 kB\u001b[0m \u001b[31m5.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting h11<0.15,>=0.13 (from httpcore->httpx<1,>=0.23.0->openai>=1)\n",
            "  Downloading h11-0.14.0-py3-none-any.whl (58 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m58.3/58.3 kB\u001b[0m \u001b[31m6.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: h11, httpcore, httpx, openai\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "llmx 0.0.15a0 requires cohere, which is not installed.\n",
            "llmx 0.0.15a0 requires tiktoken, which is not installed.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed h11-0.14.0 httpcore-1.0.1 httpx-0.25.1 openai-1.1.1\n"
          ]
        }
      ],
      "source": [
        "!pip install \"openai>=1\""
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import cv2\n",
        "from google.colab.patches import cv2_imshow\n",
        "!wget https://media.thoughtspot.com/35707/1679924349-exam-results-gpt-3-5-vs-gpt-4-1.png\n",
        "img = cv2.imread(\"1679924349-exam-results-gpt-3-5-vs-gpt-4-1.png\")\n",
        "cv2_imshow(img)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 961
        },
        "id": "xEWh5j8-HjA7",
        "outputId": "09cb8d14-fe3d-481e-a889-54efdaaed158"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "--2023-11-07 14:46:19--  https://media.thoughtspot.com/35707/1679924349-exam-results-gpt-3-5-vs-gpt-4-1.png\n",
            "Resolving media.thoughtspot.com (media.thoughtspot.com)... 104.26.15.136, 104.26.14.136, 172.67.73.125, ...\n",
            "Connecting to media.thoughtspot.com (media.thoughtspot.com)|104.26.15.136|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 31952 (31K) [image/png]\n",
            "Saving to: ‘1679924349-exam-results-gpt-3-5-vs-gpt-4-1.png’\n",
            "\n",
            "\r          167992434   0%[                    ]       0  --.-KB/s               \r1679924349-exam-res 100%[===================>]  31.20K  --.-KB/s    in 0.001s  \n",
            "\n",
            "2023-11-07 14:46:19 (36.0 MB/s) - ‘1679924349-exam-results-gpt-3-5-vs-gpt-4-1.png’ saved [31952/31952]\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<PIL.Image.Image image mode=RGB size=1174x748>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "os.environ[\"OPENAI_API_KEY\"] = \"openai-key\"\n",
        "from openai import OpenAI\n",
        "\n",
        "client = OpenAI()\n",
        "\n",
        "response = client.chat.completions.create(\n",
        "    model=\"gpt-4-vision-preview\",\n",
        "    messages=[\n",
        "        {\n",
        "            \"role\": \"user\",\n",
        "            \"content\": [\n",
        "                {\"type\": \"text\", \"text\": \"Explain the graph\"},\n",
        "                {\n",
        "                    \"type\": \"image_url\",\n",
        "                    \"image_url\": \"https://media.thoughtspot.com/35707/1679924349-exam-results-gpt-3-5-vs-gpt-4-1.png\",\n",
        "                },\n",
        "            ],\n",
        "        },\n",
        "    ],\n",
        "    max_tokens=1000,\n",
        ")"
      ],
      "metadata": {
        "id": "H5ryUqLKHlKB"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "out = response.choices[0].message.content\n",
        "print(out)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dsG0ghZRH9GV",
        "outputId": "b0871be4-403c-4d70-e979-3dde3f56aa40"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "This bar graph presents the performance of two versions of a language model, GPT-3.5 and GPT-4, across various exams. The vertical axis represents the estimated percentile lower bound among test-takers, ranging from 0% to 100%. The horizontal axis lists different exams, which the models presumably took.\n",
            "\n",
            "Each exam has up to three bars representing different results:\n",
            "\n",
            "1. Blue bars represent GPT-3.5's performance on that exam.\n",
            "2. Green bars represent GPT-4 without vision's performance.\n",
            "3. Light green segments on top of some blue bars show the additional performance improvement when GPT-4 utilizes vision capabilities.\n",
            "\n",
            "The exams include various standardized tests such as AP (Advanced Placement), SAT (Scholastic Assessment Test), GRE (Graduate Record Examinations), LSAT (Law School Admission Test), and others. The results are ordered by GPT-3.5's performance, from the lowest percentile to the highest.\n",
            "\n",
            "The graph demonstrates that GPT-4, generally, performs significantly better than GPT-3.5 across most exams, and the addition of vision capabilities in GPT-4 leads to further improvements in some cases (where the light green segment is visible).\n"
          ]
        }
      ]
    }
  ]
}