# Import the required libraries
from diffusers import StableDiffusionPipeline
import torch
from PIL import Image
import gradio as gr

# Set up the model and device
model_id = "CompVis/stable-diffusion-v1-4"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)

# Move the model to the GPU if available
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
pipe.to(device)

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

# Create a Gradio interface
demo = gr.Interface(
    fn=generate_image,
    inputs=[gr.Textbox(label="Text Prompt", placeholder="Enter a text prompt")],
    outputs=[gr.Image(label="Generated Image")],
    title="Text-to-Image AI",
    description="Enter a text prompt to generate an image",
)

# Launch the Gradio interface
demo.launch()