Create recursive replicas of an image with ChatGPT

ai_replica.py

import base64
import os
from openai import OpenAI
from dotenv import load_dotenv

load_dotenv()

count = 50
start_duration = 1
mid_duration = 0.2

def main():
    client = OpenAI(api_key=os.getenv('OPENAI_API_KEY'))
    source_path = './images/source.png'
    prompt = 'Create an exact replica of this image. Don\'t change a thing.'
        
    try:
        for idx in range(count):
            image_path = source_path if idx == 0 else f'./images/image_{idx}.png'
            print(f'Creating image {idx + 1} from path: {image_path}')
            result = client.images.edit(
                model='gpt-image-1',
                image=open(image_path, 'rb'),
                prompt=prompt,
                quality='medium',
                size='1024x1024'
            )

            image_base64 = result.data[0].b64_json
            image_bytes = base64.b64decode(image_base64)
            output_path = os.path.join('images', f'image_{idx + 1}.png')
            with open(output_path, 'wb') as f:
                f.write(image_bytes)
        
        print('Creating movie file...')
        with open('images/files.txt', 'w') as f:
            f.write(f"file 'source.png'\nduration {start_duration}\n")
            for i in range(1, count):
                f.write(f"file 'image_{i}.png'\nduration {mid_duration}\n")
            f.write(f"file 'image_{count}.png'\nduration {start_duration}\n")
            # Write last file again to ensure final duration is respected
            f.write(f"file 'image_{count}.png'\n")
        
        os.system('ffmpeg -y -f concat -safe 0 -i images/files.txt -vsync vfr -pix_fmt yuv420p images/output.mp4')
        os.remove('images/files.txt')
        print('Done!')
                
    except Exception as e:
        print(f'An error occurred: {str(e)}')

if __name__ == '__main__':
    main()