clean_tag.py

import os

def clean_gym_keywords(text):
    # Split the text by commas
    parts = [part.strip() for part in text.split(',')]
    
    # Remove duplicate "gym" keywords
    unique_parts = []
    seen = False
    for part in parts:
        if part.lower() == 'gym':
            if not seen:
                unique_parts.append(part)
                seen = True
        else:
            unique_parts.append(part)
            seen = False
    
    # Join the parts back into a single string
    cleaned_text = ', '.join(unique_parts)
    return cleaned_text

def process_files(folder_path):
    for filename in os.listdir(folder_path):
        if filename.endswith('.txt'):
            file_path = os.path.join(folder_path, filename)
            with open(file_path, 'r', encoding='utf-8') as file:
                content = file.read()
            
            cleaned_content = clean_gym_keywords(content)
            
            with open(file_path, 'w', encoding='utf-8') as file:
                file.write(cleaned_content)

# Specify the path to the folder containing your text files
folder_path = '/home/caimera-prod/kohya_new_dataset'
process_files(folder_path)