app.py

import gradio as gr
from diffusers import StableDiffusionPipeline
import torch

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):
    return pipe(prompt).images[0]

with gr.Blocks() as demo:
    gr.Markdown("# 🌟 AI Image Gen Studio - Realistic AI Art")
    gr.Markdown("Enter a prompt below (in English, Hindi, Urdu, etc.) and generate a realistic image using Stable Diffusion AI.")
    prompt = gr.Textbox(label="Enter your prompt", placeholder="e.g. a realistic photo of a beautiful mountain under moonlight")
    btn = gr.Button("Generate Image")
    output = gr.Image(label="Generated Image")
    btn.click(fn=generate_image, inputs=prompt, outputs=output)

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