Upload 2 files

scripts/Data_create_code.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "1da63fbc",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Defaulting to user installation because normal site-packages is not writeableNote: you may need to restart the kernel to use updated packages.\n",
+      "\n",
+      "Collecting pdf2image\n",
+      "  Obtaining dependency information for pdf2image from https://files.pythonhosted.org/packages/62/33/61766ae033518957f877ab246f87ca30a85b778ebaad65b7f74fa7e52988/pdf2image-1.17.0-py3-none-any.whl.metadata\n",
+      "  Downloading pdf2image-1.17.0-py3-none-any.whl.metadata (6.2 kB)\n",
+      "Requirement already satisfied: pillow in c:\\programdata\\anaconda3\\lib\\site-packages (from pdf2image) (9.4.0)\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"
+     ]
+    },
+    {
+     "ename": "ModuleNotFoundError",
+     "evalue": "No module named 'pytesseract'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
+      "Cell \u001b[1;32mIn[3], line 5\u001b[0m\n\u001b[0;32m      1\u001b[0m get_ipython()\u001b[38;5;241m.\u001b[39mrun_line_magic(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mpip\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124minstall pdf2image\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m      4\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mpdf2image\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m convert_from_path\n\u001b[1;32m----> 5\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mpytesseract\u001b[39;00m\n\u001b[0;32m      7\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mextract_text_from_image_pdf\u001b[39m(pdf_file):\n\u001b[0;32m      8\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m      9\u001b[0m \u001b[38;5;124;03m    Extract text from image-based PDF using OCR.\u001b[39;00m\n\u001b[0;32m     10\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n",
+      "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'pytesseract'"
+     ]
+    }
+   ],
+   "source": [
+    "%pip install pdf2image\n",
+    "\n",
+    "\n",
+    "from pdf2image import convert_from_path\n",
+    "import pytesseract\n",
+    "\n",
+    "def extract_text_from_image_pdf(pdf_file):\n",
+    "    \"\"\"\n",
+    "    Extract text from image-based PDF using OCR.\n",
+    "    \"\"\"\n",
+    "    pages = convert_from_path(pdf_file)\n",
+    "    text = []\n",
+    "    for page in pages:\n",
+    "        text.append(pytesseract.image_to_string(page, lang='hin+ben'))\n",
+    "    return text\n",
+    "\n",
+    "def read_write_excel(pdf_file1, pdf_file2, output_file):\n",
+    "    \"\"\"\n",
+    "    Reads two PDF files, extracts their text, and writes their contents line by line\n",
+    "    into two separate columns of an Excel file.\n",
+    "\n",
+    "    Args:\n",
+    "        pdf_file1 (str): Path to the first PDF file.\n",
+    "        pdf_file2 (str): Path to the second PDF file.\n",
+    "        output_file (str): Path to the output Excel file.\n",
+    "    \"\"\"\n",
+    "    # Extract text from PDF files\n",
+    "    text1 = extract_text_from_pdf(pdf_file1)\n",
+    "    text2 = extract_text_from_pdf(pdf_file2)\n",
+    "\n",
+    "    # Open the Excel workbook\n",
+    "    workbook = openpyxl.Workbook()\n",
+    "    worksheet = workbook.active\n",
+    "\n",
+    "    # Set column titles (optional)\n",
+    "    worksheet.cell(row=1, column=1).value = \"Hindi\"\n",
+    "    worksheet.cell(row=1, column=2).value = \"Bengali\"\n",
+    "\n",
+    "    # Write data to Excel\n",
+    "    row = 2\n",
+    "    for line1, line2 in zip(text1, text2):\n",
+    "        worksheet.cell(row=row, column=1).value = line1.strip()\n",
+    "        worksheet.cell(row=row, column=2).value = line2.strip()\n",
+    "        row += 1\n",
+    "\n",
+    "    # Save the workbook\n",
+    "    workbook.save(output_file)\n",
+    "    print(f\"Excel file created: {output_file}\")\n",
+    "\n",
+    "# Example usage\n",
+    "pdf_file1 = \"atithi-hin.pdf\"\n",
+    "pdf_file2 = \"atithi-ben.pdf\"\n",
+    "output_file = \"Atithi-hi-bn.xlsx\"\n",
+    "\n",
+    "read_write_excel(pdf_file1, pdf_file2, output_file)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d4bb9932",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "de6a63fe",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

scripts/data_read.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already satisfied: python-docx in c:\\users\\dell\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (1.1.2)\n",
+      "Requirement already satisfied: lxml>=3.1.0 in c:\\users\\dell\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from python-docx) (5.3.0)\n",
+      "Requirement already satisfied: typing-extensions>=4.9.0 in c:\\users\\dell\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from python-docx) (4.12.2)\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "[notice] A new release of pip is available: 23.0.1 -> 25.0.1\n",
+      "[notice] To update, run: C:\\Users\\Dell\\AppData\\Local\\Microsoft\\WindowsApps\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\python.exe -m pip install --upgrade pip\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CSV file created successfully: devdas1-hi-bn.csv\n"
+     ]
+    }
+   ],
+   "source": [
+    "import csv\n",
+    "import re\n",
+    "!pip install python-docx\n",
+    "import docx\n",
+    "from docx import Document\n",
+    "\n",
+    "def read_write_csv_from_docx(docx_file1, docx_file2, output_file):\n",
+    "    \"\"\"\n",
+    "    Reads two .docx files, splits lines using '।' and '?' as delimiters, \n",
+    "    escapes quotes properly, and writes their contents into a CSV file with UTF-8 BOM.\n",
+    "    \"\"\"\n",
+    "    def extract_text_from_docx(docx_file):\n",
+    "        \"\"\"\n",
+    "        Extracts text from a .docx file and returns it as a single string.\n",
+    "        \"\"\"\n",
+    "        document = Document(docx_file)\n",
+    "        text = []\n",
+    "        for paragraph in document.paragraphs:\n",
+    "            text.append(paragraph.text)\n",
+    "        return \" \".join(text)\n",
+    "\n",
+    "    try:\n",
+    "        # Define the delimiters\n",
+    "        delimiters = r\"[।?]\"\n",
+    "\n",
+    "        # Extract and split content from the first .docx file\n",
+    "        content1 = extract_text_from_docx(docx_file1)\n",
+    "        lines1 = re.split(delimiters, content1.strip())\n",
+    "\n",
+    "        # Extract and split content from the second .docx file\n",
+    "        content2 = extract_text_from_docx(docx_file2)\n",
+    "        lines2 = re.split(delimiters, content2.strip())\n",
+    "\n",
+    "        # Open the CSV file for writing with UTF-8 BOM\n",
+    "        with open(output_file, 'w', encoding='utf-8-sig', newline='') as csv_file:\n",
+    "            writer = csv.writer(csv_file, quoting=csv.QUOTE_MINIMAL)\n",
+    "\n",
+    "            # Write the header\n",
+    "            writer.writerow([\"Hindi Text\", \"Bengali Text\"])\n",
+    "\n",
+    "            # Write the content line by line\n",
+    "            for line1, line2 in zip(lines1, lines2):\n",
+    "                writer.writerow([line1.strip().replace('\"', '\"\"'), line2.strip().replace('\"', '\"\"')])\n",
+    "\n",
+    "            # Handle mismatched lines\n",
+    "            if len(lines1) > len(lines2):\n",
+    "                for line1 in lines1[len(lines2):]:\n",
+    "                    writer.writerow([line1.strip().replace('\"', '\"\"'), \"N/A\"])\n",
+    "            elif len(lines2) > len(lines1):\n",
+    "                for line2 in lines2[len(lines1):]:\n",
+    "                    writer.writerow([\"N/A\", line2.strip().replace('\"', '\"\"')])\n",
+    "\n",
+    "        print(f\"CSV file created successfully: {output_file}\")\n",
+    "\n",
+    "    except FileNotFoundError:\n",
+    "        print(\"Error: One or both .docx files not found.\")\n",
+    "    except Exception as e:\n",
+    "        print(f\"An error occurred: {e}\")\n",
+    "\n",
+    "# Example usage\n",
+    "docx_file1 = \"devdas-hi.docx\"\n",
+    "docx_file2 = \"devdas-bn.docx\"\n",
+    "output_file = \"devdas1-hi-bn.csv\"\n",
+    "\n",
+    "read_write_csv_from_docx(docx_file1, docx_file2, output_file)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already satisfied: python-docx in c:\\users\\dell\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (1.1.2)\n",
+      "Requirement already satisfied: lxml>=3.1.0 in c:\\users\\dell\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from python-docx) (5.3.0)\n",
+      "Requirement already satisfied: typing-extensions>=4.9.0 in c:\\users\\dell\\appdata\\local\\packages\\pythonsoftwarefoundation.python.3.10_qbz5n2kfra8p0\\localcache\\local-packages\\python310\\site-packages (from python-docx) (4.12.2)\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "[notice] A new release of pip is available: 23.0.1 -> 25.0.1\n",
+      "[notice] To update, run: C:\\Users\\Dell\\AppData\\Local\\Microsoft\\WindowsApps\\PythonSoftwareFoundation.Python.3.10_qbz5n2kfra8p0\\python.exe -m pip install --upgrade pip\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CSV file created successfully: Ati-hi-tel.csv\n"
+     ]
+    }
+   ],
+   "source": [
+    "import csv\n",
+    "import re\n",
+    "!pip install python-docx\n",
+    "import docx\n",
+    "from docx import Document\n",
+    "\n",
+    "def read_write_csv_from_docx(docx_file1, docx_file2, output_file):\n",
+    "    \"\"\"\n",
+    "    Reads two .docx files, splits lines using '।' and '?' as delimiters, \n",
+    "    escapes quotes properly, and writes their contents into a CSV file with UTF-8 BOM.\n",
+    "    \"\"\"\n",
+    "    def extract_text_from_docx(docx_file):\n",
+    "        \"\"\"\n",
+    "        Extracts text from a .docx file and returns it as a single string.\n",
+    "        \"\"\"\n",
+    "        document = Document(docx_file)\n",
+    "        text = []\n",
+    "        for paragraph in document.paragraphs:\n",
+    "            text.append(paragraph.text)\n",
+    "        return \" \".join(text)\n",
+    "\n",
+    "    try:\n",
+    "        # Define the delimiters\n",
+    "        delimiters = r\"[.?]\"\n",
+    "\n",
+    "        # Extract and split content from the first .docx file\n",
+    "        content1 = extract_text_from_docx(docx_file1)\n",
+    "        lines1 = re.split(delimiters, content1.strip())\n",
+    "\n",
+    "        # Extract and split content from the second .docx file\n",
+    "        content2 = extract_text_from_docx(docx_file2)\n",
+    "        lines2 = re.split(delimiters, content2.strip())\n",
+    "\n",
+    "        # Open the CSV file for writing with UTF-8 BOM\n",
+    "        with open(output_file, 'w', encoding='utf-8-sig', newline='') as csv_file:\n",
+    "            writer = csv.writer(csv_file, quoting=csv.QUOTE_MINIMAL)\n",
+    "\n",
+    "            # Write the header\n",
+    "            writer.writerow([\"Hindi Text\", \"Telugu Text\"])\n",
+    "\n",
+    "            # Write the content line by line\n",
+    "            for line1, line2 in zip(lines1, lines2):\n",
+    "                writer.writerow([line1.strip().replace('\"', '\"\"'), line2.strip().replace('\"', '\"\"')])\n",
+    "\n",
+    "            # Handle mismatched lines\n",
+    "            if len(lines1) > len(lines2):\n",
+    "                for line1 in lines1[len(lines2):]:\n",
+    "                    writer.writerow([line1.strip().replace('\"', '\"\"'), \"N/A\"])\n",
+    "            elif len(lines2) > len(lines1):\n",
+    "                for line2 in lines2[len(lines1):]:\n",
+    "                    writer.writerow([\"N/A\", line2.strip().replace('\"', '\"\"')])\n",
+    "\n",
+    "        print(f\"CSV file created successfully: {output_file}\")\n",
+    "\n",
+    "    except FileNotFoundError:\n",
+    "        print(\"Error: One or both .docx files not found.\")\n",
+    "    except Exception as e:\n",
+    "        print(f\"An error occurred: {e}\")\n",
+    "\n",
+    "# Example usage\n",
+    "docx_file1 = \"Ati_hi.docx\"\n",
+    "docx_file2 = \"Ati_tel.docx\"\n",
+    "output_file = \"Ati-hi-tel.csv\"\n",
+    "\n",
+    "read_write_csv_from_docx(docx_file1, docx_file2, output_file)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import csv\n",
+    "\n",
+    "def read_sentences_from_csv(csv_file, column_name):\n",
+    "    \"\"\"\n",
+    "    Reads sentences from a CSV file under a specific column.\n",
+    "    \"\"\"\n",
+    "    sentences = []\n",
+    "    with open(csv_file, 'r', encoding='utf-8') as file:\n",
+    "        reader = csv.DictReader(file)\n",
+    "        for row in reader:\n",
+    "            sentences.append(row[column_name])\n",
+    "    return sentences\n",
+    "\n",
+    "def split_telugu_sentences(telugu_sentences):\n",
+    "    \"\"\"\n",
+    "    Splits Telugu sentences using '.' as the delimiter.\n",
+    "    \"\"\"\n",
+    "    split_sentences = []\n",
+    "    for sentence in telugu_sentences:\n",
+    "        # Split using '.' and remove leading/trailing whitespace\n",
+    "        parts = [part.strip() for part in sentence.split('.') if part.strip()]\n",
+    "        split_sentences.extend(parts)\n",
+    "    return split_sentences\n",
+    "\n",
+    "def create_parallel_csv(hindi_sentences, telugu_sentences, output_file):\n",
+    "    \"\"\"\n",
+    "    Creates a 2-column CSV file with Hindi and Telugu sentences.\n",
+    "    \"\"\"\n",
+    "    with open(output_file, 'w', encoding='utf-8-sig', newline='') as csvfile:\n",
+    "        writer = csv.writer(csvfile)\n",
+    "        # Write header\n",
+    "        writer.writerow(['Hindi Sentence', 'Telugu Sentence'])\n",
+    "        # Write sentence pairs\n",
+    "        for hindi, telugu in zip(hindi_sentences, telugu_sentences):\n",
+    "            writer.writerow([hindi, telugu + '.'])  # Add '.' to Telugu sentences\n",
+    "\n",
+    "def main():\n",
+    "    # Input CSV files\n",
+    "    hindi_csv_file = 'hindi.csv'  # Replace with your Hindi CSV file path\n",
+    "    telugu_csv_file = 'telugu.csv'  # Replace with your Telugu CSV file path\n",
+    "    output_csv_file = 'hindi_telugu_parallel.csv'  # Replace with your desired output CSV file path\n",
+    "\n",
+    "    # Column names in the CSV files\n",
+    "    hindi_column = 'Hindi Sentence'  # Replace with the actual column name in the Hindi CSV\n",
+    "    telugu_column = 'Telugu Sentence'  # Replace with the actual column name in the Telugu CSV\n",
+    "\n",
+    "    # Read Hindi sentences from the CSV file\n",
+    "    hindi_sentences = read_sentences_from_csv(hindi_csv_file, hindi_column)\n",
+    "\n",
+    "    # Read Telugu sentences from the CSV file\n",
+    "    telugu_sentences = read_sentences_from_csv(telugu_csv_file, telugu_column)\n",
+    "\n",
+    "    # Split Telugu sentences using '.' as the delimiter\n",
+    "    telugu_sentences_split = split_telugu_sentences(telugu_sentences)\n",
+    "\n",
+    "    # Ensure both lists have the same length (pad with empty strings if necessary)\n",
+    "    max_length = max(len(hindi_sentences), len(telugu_sentences_split))\n",
+    "    hindi_sentences += [''] * (max_length - len(hindi_sentences))\n",
+    "    telugu_sentences_split += [''] * (max_length - len(telugu_sentences_split))\n",
+    "\n",
+    "    # Create the parallel CSV file\n",
+    "    create_parallel_csv(hindi_sentences, telugu_sentences_split, output_csv_file)\n",
+    "\n",
+    "    print(f\"Parallel CSV file created successfully: {output_csv_file}\")\n",
+    "\n",
+    "if __name__ == \"__main__\":\n",
+    "    main()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}