app.py

import gradio as gr
import torch
from diffusers import StableDiffusionPipeline
import os

model = StableDiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2")
model.to("cuda" if torch.cuda.is_available() else "cpu")

def generate_fabric(prompt: str):
    image = model(prompt).images[0]
    output_path = "static/generated_texture.jpg"
    image.save(output_path)
    return output_path

interface = gr.Interface(
    fn=generate_fabric,
    inputs="text",
    outputs="image",
    title="AI-Generated Fabric Design",
    description="Enter a prompt to generate a custom fabric texture."
)

if __name__ == "__main__":
    interface.launch()