Methods.py

from PIL import Image
import torch
import numpy as np
import tempfile
import os
import uuid

# function to plot and save an AgentImage
def plot_and_save_agent_image(agent_image, save_path=None):
    # Convert AgentImage to a raw PIL Image
    pil_image = agent_image.to_raw()

    # Plot the image using PIL's show method
    pil_image.show()

    # If save_path is provided, save the image
    if save_path:
        pil_image.save(save_path)
        print(f"Image saved to {save_path}")
    else:
        print("No save path provided. Image not saved.")


def generate_prompts_for_object(object_name):
    prompts = {
        "past": f"Show an old version of a {object_name} from its early days.",
        "present": f"Show a {object_name} with from present with current features/design/technology.",
        "future": f"Show a futuristic version of a {object_name}, by predicting advanced features and futuristic design."
    }
    return prompts


# Function to generate the car industry history
def generate_object_history(object_name, agent):
    images = []
    
    # Get prompts for the object
    prompts = generate_prompts_for_object(object_name)
    
    # Generate sequential images and display them
    for time_period, frame in prompts.items():
        print(f"Generating {time_period} frame: {frame}")
        result = agent.run(frame)  # The tool generates the image
        
        # Append the image to the list for GIF creation
        images.append(result.to_raw())  # Ensure we're using raw image for GIF

        # Save each image with the appropriate name (past, present, future)
        image_filename = f"{object_name}_{time_period}.png"
        plot_and_save_agent_image(result, save_path=image_filename)
        
        
    # Create GIF from images
    gif_path = f"{object_name}_evolution.gif"
    images[0].save(
        gif_path, 
        save_all=True, 
        append_images=images[1:], 
        duration=1000,  # Duration in milliseconds for each frame
        loop=0          # Infinite loop
    )
    
    # Return images and GIF path
    return images, gif_path