app.py

import gradio as gr
from transformers import pipeline

# Load the model for image generation
generator = pipeline('text-to-image', model='CompVis/stable-diffusion-v1-4', device=0)  # Use your model here

def generate_image(description):
    # Generate image from description
    image = generator(description)[0]
    return image

# Create the Gradio interface
iface = gr.Interface(
    fn=generate_image,
    inputs="text",
    outputs="image",
    live=True,
    description="Enter a description to generate an image (e.g., 'A boy holding a bag')"
)

# Launch the interface
iface.launch()