app.py

import gradio as gr
from diffusers import StableDiffusionPipeline
import torch

# Load the pre-trained Stable Diffusion model
model_id = "runwayml/stable-diffusion-v1-5"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda")

def generate_one_line_art(prompt):
    # Generate an image based on the text prompt
    image = pipe(prompt).images[0]
    
    # Convert the image to a simple one-line art (this is a placeholder)
    # In practice, you would need a more sophisticated method to convert the image to one-line art.
    # For simplicity, we'll just return the generated image.
    
    return image

# Define the Gradio interface
iface = gr.Interface(
    fn=generate_one_line_art,
    inputs=gr.Textbox(lines=2, placeholder="Enter a text prompt..."),
    outputs="image",
    title="One-Line Art Generator",
    description="Enter a text prompt to generate a simple one-line art."
)

# Launch the app
iface.launch()