{ "nbformat": 4, "nbformat_minor": 0, "metadata": { "colab": { "provenance": [] }, "kernelspec": { "name": "python3", "display_name": "Python 3" }, "language_info": { "name": "python" } }, "cells": [ { "cell_type": "code", "source": [ "!pip install openai==0.28" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "ROE6pVjqkT-L", "outputId": "01c9f4da-81a9-43ed-c3ac-572e96880a2b" }, "execution_count": 1, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Collecting openai==0.28\n", " Downloading openai-0.28.0-py3-none-any.whl.metadata (13 kB)\n", "Requirement already satisfied: requests>=2.20 in /usr/local/lib/python3.11/dist-packages (from openai==0.28) (2.32.3)\n", "Requirement already satisfied: tqdm in /usr/local/lib/python3.11/dist-packages (from openai==0.28) (4.67.1)\n", "Requirement already satisfied: aiohttp in /usr/local/lib/python3.11/dist-packages (from openai==0.28) (3.11.11)\n", "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.11/dist-packages (from requests>=2.20->openai==0.28) (3.4.1)\n", "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.11/dist-packages (from requests>=2.20->openai==0.28) (3.10)\n", "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.11/dist-packages (from requests>=2.20->openai==0.28) (2.3.0)\n", "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.11/dist-packages (from requests>=2.20->openai==0.28) (2024.12.14)\n", "Requirement already satisfied: aiohappyeyeballs>=2.3.0 in /usr/local/lib/python3.11/dist-packages (from aiohttp->openai==0.28) (2.4.4)\n", "Requirement already satisfied: aiosignal>=1.1.2 in /usr/local/lib/python3.11/dist-packages (from aiohttp->openai==0.28) (1.3.2)\n", "Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.11/dist-packages (from aiohttp->openai==0.28) (25.1.0)\n", "Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.11/dist-packages (from aiohttp->openai==0.28) (1.5.0)\n", "Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.11/dist-packages (from aiohttp->openai==0.28) (6.1.0)\n", "Requirement already satisfied: propcache>=0.2.0 in /usr/local/lib/python3.11/dist-packages (from aiohttp->openai==0.28) (0.2.1)\n", "Requirement already satisfied: yarl<2.0,>=1.17.0 in /usr/local/lib/python3.11/dist-packages (from aiohttp->openai==0.28) (1.18.3)\n", "Downloading openai-0.28.0-py3-none-any.whl (76 kB)\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m76.5/76.5 kB\u001b[0m \u001b[31m3.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25hInstalling collected packages: openai\n", " Attempting uninstall: openai\n", " Found existing installation: openai 1.59.9\n", " Uninstalling openai-1.59.9:\n", " Successfully uninstalled openai-1.59.9\n", "Successfully installed openai-0.28.0\n" ] } ] }, { "cell_type": "code", "source": [ "!pip install pdf2image\n", "!sudo apt-get install poppler-utils\n" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "-QwkjUM-lCOS", "outputId": "02d87d12-9026-4601-a3ad-f92ea74c3a6c" }, "execution_count": 2, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Collecting pdf2image\n", " Downloading pdf2image-1.17.0-py3-none-any.whl.metadata (6.2 kB)\n", "Requirement already satisfied: pillow in /usr/local/lib/python3.11/dist-packages (from pdf2image) (11.1.0)\n", "Downloading pdf2image-1.17.0-py3-none-any.whl (11 kB)\n", "Installing collected packages: pdf2image\n", "Successfully installed pdf2image-1.17.0\n", "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 18 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 22.02.0-2ubuntu0.6 [186 kB]\n", "Fetched 186 kB in 1s (260 kB/s)\n", "debconf: unable to initialize frontend: Dialog\n", "debconf: (No usable dialog-like program is installed, so the dialog based frontend cannot be used. at /usr/share/perl5/Debconf/FrontEnd/Dialog.pm line 78, <> line 1.)\n", "debconf: falling back to frontend: Readline\n", "debconf: unable to initialize frontend: Readline\n", "debconf: (This frontend requires a controlling tty.)\n", "debconf: falling back to frontend: Teletype\n", "dpkg-preconfigure: unable to re-open stdin: \n", "Selecting previously unselected package poppler-utils.\n", "(Reading database ... 124950 files and directories currently installed.)\n", "Preparing to unpack .../poppler-utils_22.02.0-2ubuntu0.6_amd64.deb ...\n", "Unpacking poppler-utils (22.02.0-2ubuntu0.6) ...\n", "Setting up poppler-utils (22.02.0-2ubuntu0.6) ...\n", "Processing triggers for man-db (2.10.2-1) ...\n" ] } ] }, { "cell_type": "code", "source": [ "import openai\n", "from pdf2image import convert_from_path\n", "import json\n", "import pandas as pd\n", "import os\n", "import base64\n", "import re\n", "\n", "# OpenAI API Key\n", "openai.api_key = \"key\"\n", "\n", "# Set Paths\n", "pdf_path = \"/content/QB-MARATHI.pdf\"\n", "source = \"https://transport.maharashtra.gov.in/Site/Upload/Pdf/QB-MARATHI.pdf\"\n", "results_folder = \"/content/results\"\n", "images_folder = os.path.join(results_folder, \"images\")\n", "os.makedirs(results_folder, exist_ok=True)\n", "os.makedirs(images_folder, exist_ok=True)\n", "\n", "# GPT Prompt\n", "pre_prompt = \"\"\"Please extract the multiple-choice questions in the attached image in Marathi.\n", "There can be one or multiple questions per page.\n", "\n", "Format the output as:\n", "Question Number\n", "Question Text\n", "\n", " A\n", " B\n", " C\n", "\n", "Correct Answer Index (1, 2, or 3)\n", "yes/no\n", "\n", "IMPORTANT:\n", "- The tag should contain ONLY a single integer: 1, 2, or 3.\n", "- Do NOT include the actual answer text, only the index.\n", "- If no answer is available, leave empty.\n", "- If the question has an associated image (diagram, symbol, road sign), respond with `yes`.\n", "- Otherwise, respond with `no`.\n", "- If the image contains a reference like 'चित्रात दाखवल्याप्रमाणे' (Marathi for \"as shown in the figure\"), ensure `yes`.\n", "- Ensure options are unique and contain at least two valid choices.\n", "\"\"\"\n", "\n", "# Convert PDF to Images\n", "def convert_pdf_to_images(pdf_path):\n", " print(\"📄 Converting PDF to Images...\")\n", " images = convert_from_path(pdf_path, dpi=300)\n", " image_paths = []\n", "\n", " for i, image in enumerate(images):\n", " img_path = os.path.join(images_folder, f\"page_{i+1}.png\")\n", " image.save(img_path, \"PNG\")\n", " image_paths.append(img_path)\n", "\n", " print(f\"✅ {len(image_paths)} images saved.\")\n", " return image_paths\n", "\n", "# Encode Image in Base64\n", "def encode_image(image_path):\n", " with open(image_path, \"rb\") as image_file:\n", " return base64.b64encode(image_file.read()).decode(\"utf-8\")\n", "\n", "# Process Image with GPT-4o\n", "def gpt4o_process_image(image_path):\n", " base64_image = encode_image(image_path)\n", "\n", " try:\n", " response = openai.ChatCompletion.create(\n", " model=\"gpt-4o\",\n", " messages=[\n", " {\"role\": \"system\", \"content\": pre_prompt},\n", " {\"role\": \"user\", \"content\": [\n", " {\"type\": \"text\", \"text\": \"Extract all questions from this image.\"},\n", " {\"type\": \"image_url\", \"image_url\": {\"url\": f\"data:image/png;base64,{base64_image}\"}}\n", " ]}\n", " ],\n", " max_tokens=2000\n", " )\n", "\n", " extracted_text = response[\"choices\"][0][\"message\"][\"content\"]\n", " return extracted_text\n", "\n", " except json.JSONDecodeError:\n", " print(\"❌ Error: GPT-4o returned an invalid JSON format.\")\n", " return None\n", "\n", "# Parse GPT Response & Fix Issues\n", "def parse_gpt_output(response):\n", " # Regex patterns for structured extraction\n", " q_num_pattern = re.compile(r\"(\\d+)\")\n", " q_pattern = re.compile(r\"(.*?)\")\n", " choices_pattern = re.compile(r\"(.*?)\", re.DOTALL)\n", " answer_pattern = re.compile(r\"(.*?)\")\n", " image_pattern = re.compile(r\"(.*?)\")\n", "\n", " # Extract values\n", " question_nums = q_num_pattern.findall(response)\n", " questions = q_pattern.findall(response)\n", " choices_raw = choices_pattern.findall(response)\n", " answers_raw = answer_pattern.findall(response)\n", " images_required = image_pattern.findall(response)\n", "\n", " # Extract choices correctly & ensure uniqueness\n", " choices = []\n", " for choice_text in choices_raw:\n", " extracted_choices = list(set(re.findall(r\"(.*?)\", choice_text))) # Ensure unique choices\n", " if len(extracted_choices) < 2: # Validator requires at least two options\n", " extracted_choices.append(\"Option Placeholder\") # Add dummy placeholder\n", " choices.append(extracted_choices)\n", "\n", " # Convert to integer (1,2,3) and validate range\n", " valid_answers = []\n", " for answer in answers_raw:\n", " try:\n", " int_answer = int(answer.strip())\n", " if 1 <= int_answer <= 3: # Ensure valid 1-based index\n", " valid_answers.append(int_answer)\n", " else:\n", " valid_answers.append(None)\n", " except ValueError:\n", " valid_answers.append(None)\n", "\n", " # Ensure all lists have the same length\n", " min_length = min(len(question_nums), len(questions), len(choices), len(valid_answers), len(images_required))\n", " question_nums = question_nums[:min_length]\n", " questions = questions[:min_length]\n", " choices = choices[:min_length]\n", " valid_answers = valid_answers[:min_length]\n", " images_required = images_required[:min_length]\n", "\n", " return question_nums, questions, choices, valid_answers, images_required\n", "\n", "# Main Execution\n", "def main():\n", " image_paths = convert_pdf_to_images(pdf_path)\n", " all_questions = []\n", "\n", " for img_path in image_paths:\n", " print(f\"📷 Processing {img_path}...\")\n", " response = gpt4o_process_image(img_path)\n", "\n", " if response:\n", " q_nums, q_texts, options, correct_answers, images_required = parse_gpt_output(response)\n", "\n", " for i in range(len(q_nums)):\n", " image_info = None\n", " image_png = None\n", " image_type = None\n", "\n", " if images_required[i] == \"yes\":\n", " image_png = f\"driving-license-marathi-{q_nums[i]}.png\"\n", " image_info = \"essential\"\n", " image_type = \"diagram\"\n", "\n", " question_data = {\n", " \"language\": \"mr\",\n", " \"country\": \"India\",\n", " \"file_name\": \"QB-MARATHI.pdf\",\n", " \"source\": source,\n", " \"license\": \"Education and Research\",\n", " \"level\": \"Driver License\",\n", " \"category_en\": \"Driving\",\n", " \"category_original_lang\": \"ड्रायव्हिंग\",\n", " \"original_question_num\": int(q_nums[i]),\n", " \"question\": q_texts[i],\n", " \"options\": options[i] if i < len(options) else [],\n", " \"answer\": correct_answers[i], # ✅ Always 1,2,3\n", " \"image_png\": image_png,\n", " \"image_information\": image_info,\n", " \"image_type\": image_type,\n", " \"parallel_question_id\": None\n", " }\n", " all_questions.append(question_data)\n", "\n", " # Save as JSON\n", " json_path = os.path.join(results_folder, \"marathi_driving_license_valid.json\")\n", " with open(json_path, \"w\", encoding=\"utf-8\") as f:\n", " json.dump(all_questions, f, indent=4, ensure_ascii=False)\n", "\n", " # Convert to CSV\n", " df = pd.DataFrame(all_questions)\n", " csv_path = os.path.join(results_folder, \"marathi_driving_license_valid.csv\")\n", " df.to_csv(csv_path, index=False, encoding=\"utf-8\")\n", "\n", " print(f\"✅ JSON Saved: {json_path}\")\n", " print(f\"✅ CSV Saved: {csv_path}\")\n", "\n", "# Run the script\n", "main()\n" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "OgERpYUuTV8k", "outputId": "b67d003f-5647-45e5-9632-46ae8b10c510" }, "execution_count": 4, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "📄 Converting PDF to Images...\n", "✅ 107 images saved.\n", "📷 Processing /content/results/images/page_1.png...\n", "📷 Processing /content/results/images/page_2.png...\n", "📷 Processing /content/results/images/page_3.png...\n", "📷 Processing /content/results/images/page_4.png...\n", "📷 Processing /content/results/images/page_5.png...\n", "📷 Processing /content/results/images/page_6.png...\n", "📷 Processing /content/results/images/page_7.png...\n", "📷 Processing /content/results/images/page_8.png...\n", "📷 Processing /content/results/images/page_9.png...\n", "📷 Processing /content/results/images/page_10.png...\n", "📷 Processing 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