app.py

import gradio as gr
from diffusers import StableDiffusionPipeline
import torch

# Load the model (make sure your Hugging Face token is configured if running locally)
pipe = StableDiffusionPipeline.from_pretrained(
    "runwayml/stable-diffusion-v1-5",
    torch_dtype=torch.float16,
).to("cuda" if torch.cuda.is_available() else "cpu")

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

# Gradio UI
with gr.Blocks() as demo:
    gr.Markdown("## AI Image Generator")
    prompt = gr.Textbox(label="Enter your prompt")
    btn = gr.Button("Generate Image")
    output = gr.Image()

    btn.click(fn=generate_image, inputs=prompt, outputs=output)

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