app.py

import gradio as gr
from diffusers import DiffusionPipeline

# Load the pre-trained model pipeline
pipe = DiffusionPipeline.from_pretrained("ImageInception/ArtifyAI")

# Define a function to generate the image based on user input text
def generate_image(prompt):
    # Generate the image from the prompt
    image = pipe(prompt).images[0]
    return image

# Define the Gradio interface
iface = gr.Interface(
    fn=generate_image, 
    inputs="text", 
    outputs="image", 
    title="ArtifyAI Generator",
    description="Enter a prompt and generate an image using the ArtifyAI model."
)

# Launch the Gradio app
if __name__ == "__main__":
    iface.launch()