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Upload 4 files
Browse files- app.py +184 -0
- assets/banner.jpg +0 -0
- requirements.txt +3 -0
- themes.py +55 -0
app.py
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from gradio_client import Client, handle_file
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import gradio as gr
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import concurrent.futures
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import tempfile
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from PIL import Image
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# Impor tema custom dari themes.py
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from themes import IndonesiaTheme
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# Siapkan URL dan header untuk permintaan API
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url_api1 = os.environ['url_api1']
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url_api2 = os.environ['url_api2']
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# Fungsi untuk FLUX Std
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def infer_image(prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps, progress=gr.Progress()):
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client = Client(url_api1)
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try:
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progress(0, "Memulai proses...")
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result = client.predict(
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prompt=prompt,
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seed=seed,
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randomize_seed=randomize_seed,
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width=width,
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height=height,
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guidance_scale=guidance_scale,
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num_inference_steps=num_inference_steps,
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api_name="/infer"
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)
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progress(1, "Proses selesai.")
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return result[0], seed if not randomize_seed else result[1]
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except concurrent.futures.CancelledError:
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return None, "Request was cancelled. Please try again."
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# Fungsi untuk FLUX Inpainting
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def inpainting_process(input_image_editor, input_text, seed_slicer, randomize_seed_checkbox, strength_slider, num_inference_steps_slider, progress=gr.Progress()):
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client = Client(url_api2)
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try:
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progress(0, "Memulai proses inpainting...")
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# Simpan gambar sementara ke file
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with tempfile.NamedTemporaryFile(suffix=".png", delete=False) as temp:
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input_image_editor["composite"].save(temp.name)
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temp_image_path = temp.name
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# Tutup file setelah penulisan selesai
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temp.close()
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# Gunakan handle_file untuk memproses gambar dari jalur file sementara
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input_image_editor = {"background": handle_file(temp_image_path)}
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result = client.predict(
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input_image_editor=input_image_editor,
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input_text=input_text,
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seed_slicer=seed_slicer,
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randomize_seed_checkbox=randomize_seed_checkbox,
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strength_slider=strength_slider,
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num_inference_steps_slider=num_inference_steps_slider,
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api_name="/process"
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)
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progress(1, "Proses inpainting selesai.")
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return result[0], result[1]
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except concurrent.futures.CancelledError:
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return None, "Request was cancelled. Please try again."
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finally:
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# Hapus file sementara setelah selesai digunakan
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import os
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os.remove(temp_image_path)
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# CSS untuk styling antarmuka
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css = """
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#col-left, #col-mid, #col-right {
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margin: 0 auto;
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max-width: 400px;
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padding: 10px;
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border-radius: 15px;
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background-color: #f9f9f9;
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box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
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}
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#banner {
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width: 100%;
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text-align: center;
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margin-bottom: 20px;
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}
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#run-button {
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background-color: #ff4b5c;
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color: white;
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font-weight: bold;
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padding: 10px;
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border-radius: 10px;
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cursor: pointer;
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box-shadow: 0 4px 8px rgba(0, 0, 0, 0.2);
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}
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#footer {
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text-align: center;
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margin-top: 20px;
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color: silver;
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}
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"""
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# Interface Gradio
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with gr.Blocks(css=css, theme=IndonesiaTheme()) as app:
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# Tambahkan banner
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gr.HTML("""
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<div style='text-align: center;'>
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<img src='https://i.postimg.cc/ZYFNKrjK/banner.jpg' alt='Banner' style='width: 100%; height: auto;'/>
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</div>
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""")
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# Ganti judul
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gr.Markdown("<h2 style='text-align: center;'>FLUX.1 Untuk membuat gambar terbaik di dunia.</h2>")
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gr.HTML("""
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<h4 style='text-align: center;'>
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<a href="https://huggingface.co/sayakpaul/FLUX.1-merged">FLUX.1 [merged]</a> Merge by
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<a href="https://huggingface.co/sayakpaul">Sayak Paul</a> of 2 of the 12B param rectified flow transformers
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<a href="https://huggingface.co/black-forest-labs/FLUX.1-dev">FLUX.1 [dev]</a> and
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<a href="https://huggingface.co/black-forest-labs/FLUX.1-schnell">FLUX.1 [schnell]</a> by
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<a href="https://blackforestlabs.ai/">Black Forest Labs</a>, created by
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<a href="https://github.com/drat">Deddy</a>
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</h4>
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""")
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with gr.Tabs():
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with gr.TabItem("FLUX Std"):
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with gr.Row():
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with gr.Column():
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prompt_input = gr.Textbox(label="Prompt", placeholder="Ceritakan tentang image apa yang ingin dibuat...")
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seed_slider = gr.Slider(label="Seed", minimum=0, maximum=10000, step=1, value=0)
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randomize_seed_checkbox = gr.Checkbox(label="Randomize Seed", value=True)
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width_slider = gr.Slider(label="Lebar", minimum=512, maximum=2048, step=64, value=1024)
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height_slider = gr.Slider(label="Tinggi", minimum=512, maximum=2048, step=64, value=1024)
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guidance_scale_slider = gr.Slider(label="Guidance Scale", minimum=1.0, maximum=20.0, step=0.5, value=3.5)
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inference_steps_slider = gr.Slider(label="Jumlah Inference Steps", minimum=1, maximum=50, step=1, value=8)
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submit_button = gr.Button("Mulai Membuat Gambar", elem_id="run-button")
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with gr.Column():
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result_image = gr.Image(label="Result")
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seed_output = gr.Number(label="Seed Digunakan")
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submit_button.click(
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infer_image,
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inputs=[prompt_input, seed_slider, randomize_seed_checkbox, width_slider, height_slider, guidance_scale_slider, inference_steps_slider],
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outputs=[result_image, seed_output],
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show_progress=True # Menampilkan progress bar
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)
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with gr.TabItem("FLUX Inpainting"):
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with gr.Row():
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with gr.Column():
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input_image_editor = gr.ImageEditor(
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label='Image',
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type='pil',
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sources=["upload", "webcam"],
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image_mode='RGB',
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layers=False,
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brush=gr.Brush(colors=["#FFFFFF"], color_mode="fixed"))
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input_text = gr.Textbox(label="Prompt", placeholder="Deskripsi untuk inpainting...")
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seed_slicer = gr.Slider(label="Seed", minimum=0, maximum=10000, step=1, value=42)
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randomize_seed_checkbox = gr.Checkbox(label="Randomize Seed", value=True)
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strength_slider = gr.Slider(label="Strength", minimum=0.0, maximum=1.0, step=0.01, value=0.85)
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num_inference_steps_slider = gr.Slider(label="Number of Inference Steps", minimum=1, maximum=50, step=1, value=20)
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inpainting_button = gr.Button("Mulai Proses Inpainting", elem_id="run-button")
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with gr.Column():
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generated_image = gr.Image(label="Generated Image")
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input_mask = gr.Image(label="Input Mask")
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inpainting_button.click(
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inpainting_process,
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inputs=[input_image_editor, input_text, seed_slicer, randomize_seed_checkbox, strength_slider, num_inference_steps_slider],
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outputs=[generated_image, input_mask],
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show_progress=True # Menampilkan progress bar
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)
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# Tambahkan footer di bagian bawah
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gr.HTML("""
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<footer id="footer">
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Transfer Energi Semesta Digital © 2024 __drat. | 🇮🇩 Untuk Indonesia Jaya!
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</footer>
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""")
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# Meluncurkan aplikasi
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if __name__ == "__main__":
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app.launch()
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assets/banner.jpg
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requirements.txt
ADDED
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gradio
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gradio_client
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Pillow
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themes.py
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@@ -0,0 +1,55 @@
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from __future__ import annotations
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from typing import Iterable
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from gradio.themes.base import Base
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from gradio.themes.utils import colors, fonts, sizes
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class IndonesiaTheme(Base):
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def __init__(
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self,
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*,
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primary_hue: colors.Color | str = colors.red,
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secondary_hue: colors.Color | str = colors.gray,
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neutral_hue: colors.Color | str = colors.gray,
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spacing_size: sizes.Size | str = sizes.spacing_md,
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radius_size: sizes.Size | str = sizes.radius_md,
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text_size: sizes.Size | str = sizes.text_lg,
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font: fonts.Font
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| str
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| Iterable[fonts.Font | str] = (
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fonts.GoogleFont("Quicksand"),
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"ui-sans-serif",
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"sans-serif",
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),
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font_mono: fonts.Font
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| str
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| Iterable[fonts.Font | str] = (
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fonts.GoogleFont("IBM Plex Mono"),
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"ui-monospace",
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"monospace",
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),
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):
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super().__init__(
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primary_hue=primary_hue,
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secondary_hue=secondary_hue,
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neutral_hue=neutral_hue,
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spacing_size=spacing_size,
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radius_size=radius_size,
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text_size=text_size,
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font=font,
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font_mono=font_mono,
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)
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super().set(
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body_background_fill="linear-gradient(to bottom, #e0e0e0, #7d7d7d)", # Gradasi abu-abu muda ke abu-abu tua
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body_background_fill_dark="linear-gradient(to bottom, #7d7d7d, #4a4a4a)", # Gradasi abu-abu tua ke lebih gelap untuk dark mode
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button_primary_background_fill="linear-gradient(90deg, #d84a4a, #b33030)", # Merah ke merah tua
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button_primary_background_fill_hover="linear-gradient(90deg, #e85b5b, #cc4b4b)", # Merah lebih terang untuk hover
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button_primary_text_color="white",
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button_primary_background_fill_dark="linear-gradient(90deg, #b33030, #8f1f1f)", # Merah tua untuk dark mode
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slider_color="*secondary_300",
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slider_color_dark="*secondary_600",
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block_title_text_weight="600",
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block_border_width="3px",
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block_shadow="*shadow_drop_lg",
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button_shadow="*shadow_drop_lg",
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button_large_padding="32px",
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)
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