app.py

import gradio as gr
from diffusers import StableDiffusionPipeline
import torch

# Load the Stable Diffusion model
model_id = "runwayml/stable-diffusion-v1-5"
pipeline = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipeline.to("cuda" if torch.cuda.is_available() else "cpu")

def generate_image(prompt):
    image = pipeline(prompt).images[0]
    return image

# Define the Gradio interface
interface = gr.Interface(
    fn=generate_image,
    inputs=gr.Textbox(label="Enter your text prompt"),
    outputs=gr.Image(type="pil"),
    title="Text-to-Image Generator",
    description="Enter a prompt, and the AI will generate an image based on it.",
)

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