import gradio as gr
import replicate
import random
import os

def query(prompt, aspect_ratio="1:1", steps=28, cfg_scale=3.5, seed=-1, strength=0.95):
    if seed == -1:
        seed = random.randint(1, 1000000000)
    
    input = {
        "prompt": prompt,
        "hf_lora": "codermert/mert_flux",
        "output_format": "jpg",
        "aspect_ratio": aspect_ratio,
        "num_inference_steps": steps,
        "guidance_scale": cfg_scale,
        "lora_scale": strength,
        "seed": seed,
        "disable_safety_checker": True
    }
    
    output = replicate.run(
        "lucataco/flux-dev-lora:a22c463f11808638ad5e2ebd582e07a469031f48dd567366fb4c6fdab91d614d",
        input=input
    )

    print(output)
    return output[0], seed

css = """
#app-container {
    max-width: 600px;
    margin-left: auto;
    margin-right: auto;
}
"""

examples = [
    "A beautiful landscape with mountains and a lake",
    "A futuristic cityscape at night",
    "A portrait of a smiling person in a colorful outfit",
]

with gr.Blocks(theme='default', css=css) as app:
    gr.HTML("<center><h1>Mert Flux Image Generator</h1></center>")
    with gr.Column(elem_id="app-container"):
        with gr.Row():
            text_prompt = gr.Textbox(label="Prompt", placeholder="Enter a prompt here", lines=2)
        with gr.Row():
            with gr.Accordion("Advanced Settings", open=False):
                aspect_ratio = gr.Radio(label="Aspect ratio", value="1:1", choices=["1:1", "4:5", "2:3", "3:4","9:16", "4:3", "16:9"])
                steps = gr.Slider(label="Sampling steps", value=28, minimum=1, maximum=100, step=1)
                cfg = gr.Slider(label="CFG Scale", value=3.5, minimum=1, maximum=20, step=0.5)
                strength = gr.Slider(label="Strength", value=0.95, minimum=0, maximum=1, step=0.001)
                seed = gr.Slider(label="Seed", value=-1, minimum=-1, maximum=1000000000, step=1)

        with gr.Row():
            text_button = gr.Button("Generate", variant='primary')
        with gr.Row():
            image_output = gr.Image(type="pil", label="Generated Image", show_download_button=True)
        with gr.Row():
            seed_output = gr.Textbox(label="Seed Used", show_copy_button=True)

        gr.Examples(examples=examples, inputs=[text_prompt])

        text_button.click(
            query, 
            inputs=[text_prompt, aspect_ratio, steps, cfg, seed, strength], 
            outputs=[image_output, seed_output]
        )

app.launch(show_api=False)