app.py

import openai
import gradio as gr
from PIL import Image
import requests
from io import BytesIO

# Set your OpenAI API key
openai.api_key = "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"

def generate_fashion_design(description):
    """Generate a fashion design using OpenAI's DALL·E model."""
    response = openai.Image.create(
    prompt=f"Fashion design based on: {description}",
    n=1,
    size="512x512"  # Smaller size for faster generation
)

    
    image_url = response["data"][0]["url"]
    image = Image.open(BytesIO(requests.get(image_url).content))
    return image

# Gradio UI
iface = gr.Interface(
    fn=generate_fashion_design,
    inputs=gr.Textbox(placeholder="Enter a description or mood board details..."),
    outputs=gr.Image(type="pil"),
    title="AI Fashion Design Generator",
    description="Generate AI-based fashion designs from text descriptions or mood boards."
)

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