myapp/app.py

import re
from functools import partial
from io import BytesIO
from pathlib import Path
from typing import Any, cast

import gradio as gr
import segno
from gradio.components import Component
from huggingface_hub import InferenceClient
from PIL import Image
from qrcode_artistic import write_artistic
from segno.consts import ERROR_MAPPING

from myapp.colorutils import array_to_hex
from myapp.palette import extract_color_clusters, sort_color_clusters

try:
    import dotenv

    dotenv.load_dotenv()
except ImportError:
    pass

client = InferenceClient(model="black-forest-labs/FLUX.1-schnell")
static_path = Path(__file__).parent.relative_to(Path.cwd()) / "static"

MODELS = [
    "stabilityai/stable-diffusion-3.5-large",
    "black-forest-labs/FLUX.1-schnell",
]

gr.set_static_paths("static")

with gr.Blocks() as demo:
    with gr.Row():
        with gr.Column():
            text = gr.Textbox(
                "https://wheelingvultures.bandcamp.com/album/ep", label="Text"
            )
            prompt = gr.TextArea("A psychedelic vulture", label="Prompt")
            model = gr.Radio(MODELS, value=MODELS[0], label="Model")
            button = gr.Button("Generate")

        with gr.Column():
            output = gr.Image()
            background = gr.Image(
                str(static_path / "example.webp"), visible=False, type="filepath"
            )
            scale = gr.Slider(3, 15, 9, step=1, label="Scale")
            error = gr.Radio(list(ERROR_MAPPING), value="H", label="Error")

            with gr.Row():
                color_dark = gr.ColorPicker("#000000", label="Dark")
                color_light = gr.ColorPicker("#FFFFFF", label="Light")

            with gr.Row():
                extract_colors = gr.Button("Extract")
                gr.ClearButton([color_dark, color_light], value="Reset")

    def generate_background(data: dict[Component, Any]):
        if not data.get(prompt):
            return gr.skip(), gr.skip()

        return client.text_to_image(data[prompt], model=data[model]), None

    def generate_output(data: dict[Component, Any]):
        if data.get(background) is None:
            return None

        def to_hex_format(value: str):
            if value is None:
                return None

            if value.startswith("#"):
                return value

            matches = re.findall(r"\d+(?:\.\d+)?", value)
            r, g, b = map(int, map(float, matches[:3]))

            return f"#{r:02X}{g:02X}{b:02X}"

        image = Image.open(data[background])
        qr_code = segno.make(data[text], error=data[error])

        with BytesIO() as buffer:
            write_artistic(
                qr_code,
                target=buffer,
                background=image.filename,
                kind=image.format,
                scale=data[scale],
                light=to_hex_format(data[color_light]),
                dark=to_hex_format(data[color_dark]),
                quiet_zone=cast(Any, "#FFFFFF"),
            )

            return Image.open(buffer)

    def generate_palette(data: dict[Component, Any]):
        if data[background] is None:
            return None, None

        image = Image.open(data[background])
        k_means = extract_color_clusters(image, n_clusters=2)
        primary, secondary = map(array_to_hex, sort_color_clusters(k_means))

        return primary, secondary

    gr.on(
        [button.click, prompt.submit],
        partial(gr.update, interactive=False),
        outputs=button,
    ).then(
        generate_background,
        inputs={prompt, model},
        outputs=[background, output],
    ).then(
        partial(gr.update, interactive=True),
        outputs=button,
    )

    gr.on(
        [
            demo.load,
            text.submit,
            background.change,
            scale.change,
            error.change,
            color_light.change,
            color_dark.change,
        ],
        generate_output,
        inputs={
            text,
            background,
            scale,
            error,
            color_light,
            color_dark,
        },
        outputs=output,
    )

    gr.on(
        [extract_colors.click],
        generate_palette,
        inputs={background},
        outputs=[color_dark, color_light],
    )


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