prompt.py

import os
import argparse
from pathlib import Path
from caption import get_system_prompt, get_together_client, extract_captions, MODEL_ID

def optimize_prompt(user_prompt, captions_dir=None, captions_list=None):
    """Optimize a user prompt to follow the same format as training captions.
    
    Args:
        user_prompt (str): The simple user prompt to optimize
        captions_dir (str, optional): Directory containing caption .txt files
        captions_list (list, optional): List of captions to use instead of loading from files
    """
    all_captions = []
    if captions_list:
        all_captions = captions_list
    elif captions_dir:
        # Collect all captions from text files in the directory
        captions_path = Path(captions_dir)
        for file_path in captions_path.glob("*.txt"):
            captions = extract_captions(file_path)
            all_captions.extend(captions)

    if not all_captions:
        raise ValueError("Please provide either caption files or a list of captions!")

    # Concatenate all captions with newlines
    captions_text = "\n".join(all_captions)

    client = get_together_client()
    messages = [
        {"role": "system", "content": get_system_prompt()},
        {
            "role": "user",
            "content": (
                f"These are all of the captions used to train the LoRA:\n\n"
                f"{captions_text}\n\n"
                f"Now optimize this prompt to follow the caption format used in training: "
                f"{user_prompt}"
            )
        }
    ]

    response = client.chat.completions.create(
        model=MODEL_ID,
        messages=messages
    )

    optimized_prompt = response.choices[0].message.content.strip()
    return optimized_prompt


def main():
    parser = argparse.ArgumentParser(description='Optimize prompts based on existing captions.')
    parser.add_argument('--prompt', type=str, required=True, help='User prompt to optimize')
    parser.add_argument('--captions', type=str, required=True,help='Directory containing caption .txt files')

    args = parser.parse_args()
    if not os.path.isdir(args.captions):
        print(f"Error: Captions directory '{args.captions}' does not exist.")
        return

    try:
        optimized_prompt = optimize_prompt(args.prompt, args.captions)
        print("\nOptimized Prompt:")
        print(optimized_prompt)

    except Exception as e:
        print(f"Error optimizing prompt: {e}")


if __name__ == "__main__":
    main()