app.py

import gradio as gr
from models import generate_image
import spaces

with gr.Blocks(title="AI Text-to-Image Generator", theme=gr.themes.Soft()) as demo:
    gr.Markdown("""
    # AI Text-to-Image Generator
    [Built with anycoder](https://huggingface.co/spaces/akhaliq/anycoder)

    Generate images from text prompts using FLUX (fast generation).
    """)
    
    with gr.Row():
        prompt = gr.Textbox(
            label="Prompt",
            placeholder="A beautiful sunset over mountains...",
            lines=2
        )
        negative_prompt = gr.Textbox(
            label="Negative Prompt (optional)",
            placeholder="blurry, low quality, distorted",
            lines=2
        )
    
    with gr.Row():
        steps = gr.Slider(
            label="Inference Steps",
            minimum=1,
            maximum=50,
            value=20,
            step=1
        )
        guidance_scale = gr.Slider(
            label="Guidance Scale",
            minimum=1.0,
            maximum=20.0,
            value=7.5,
            step=0.5
        )
    
    generate_btn = gr.Button("Generate Image", variant="primary")
    
    output_image = gr.Image(label="Generated Image")
    
    generate_btn.click(
        fn=generate_image,
        inputs=[prompt, negative_prompt, steps, guidance_scale],
        outputs=output_image
    )

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