split a csv file into markdown files, for use with obsidian

mardownify.py

import pandas as pd
import os
import argparse

def create_markdown_files(csv_filepath, output_dir):
    # Read the CSV file into a pandas DataFrame
    df = pd.read_csv(csv_filepath)
    
    # Check if the output directory exists, if not, create it
    if not os.path.exists(output_dir):
        os.makedirs(output_dir)
    
    # Iterate over each row of the DataFrame and create markdown files
    for index, row in df.iterrows():
        filename = row['Filename']  # Get the filename
        ocr_text = row['OCR_Text']  # Get the OCR text
        
        # Construct the markdown content
#        image_path = os.path.join(images_dir, filename)
        markdown_content = f"![[{filename}]]\n\n" \
                           "```\n" \
                           f"{ocr_text}\n" \
                           "```\n" \
                           f"## encoding \n"
        
        # Create a filename for the markdown file
        markdown_filename = os.path.splitext(filename)[0] + ".md"
        
        # Write markdown content to file
        with open(os.path.join(output_dir, markdown_filename), 'w', encoding='utf-8') as md_file:
            md_file.write(markdown_content)

def main():
    # Parse command line arguments
    parser = argparse.ArgumentParser(description="Convert CSV file with OCR results into markdown files")
    parser.add_argument('csv_filepath', help="The filepath to the CSV file with OCR results.")
    parser.add_argument('output_dir', help="The directory to save the markdown files.")
#    parser.add_argument('images_dir', help="The directory where images are stored.")

    args = parser.parse_args()

    # Create markdown files from the CSV
    create_markdown_files(args.csv_filepath, args.output_dir) #args.images_dir)

if __name__ == '__main__':
    main()