Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
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@@ -12,6 +12,44 @@ import copy
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import random
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import time
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from transformers import pipeline
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# ๋ฒ์ญ ๋ชจ๋ธ ์ด๊ธฐํ
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translator = pipeline("translation", model="Helsinki-NLP/opus-mt-ko-en")
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@@ -143,7 +181,10 @@ def run_lora(prompt, cfg_scale, steps, selected_index, randomize_seed, seed, wid
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final_image = image
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progress_bar = f'<div class="progress-container"><div class="progress-bar" style="--current: {step_counter}; --total: {steps};"></div></div>'
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yield image, seed, gr.update(value=progress_bar, visible=True), original_prompt, english_prompt
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yield final_image, seed, gr.update(value=progress_bar, visible=False), original_prompt, english_prompt
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@@ -222,6 +263,7 @@ def add_custom_lora(custom_lora):
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def remove_custom_lora():
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return gr.update(visible=False), gr.update(visible=False), gr.update(), "", None, ""
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run_lora.zerogpu = True
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css = """
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@@ -230,52 +272,70 @@ footer {
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}
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"""
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with gr.Blocks(theme="Nymbo/Nymbo_Theme", css=css) as app:
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selected_index = gr.State(None)
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columns=3,
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-
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)
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custom_lora = gr.Textbox(label="์ปค์คํ
LoRA", info="LoRA Hugging Face ๊ฒฝ๋ก", placeholder="multimodalart/vintage-ads-flux")
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gr.Markdown("[FLUX LoRA ๋ชฉ๋ก ํ์ธ](https://huggingface.co/models?other=base_model:adapter:black-forest-labs/FLUX.1-dev)", elem_id="lora_list")
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custom_lora_info = gr.HTML(visible=False)
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custom_lora_button = gr.Button("์ปค์คํ
LoRA ์ ๊ฑฐ", visible=False)
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with gr.Column():
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progress_bar = gr.Markdown(elem_id="progress",visible=False)
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result = gr.Image(label="์์ฑ๋ ์ด๋ฏธ์ง")
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original_prompt_display = gr.Textbox(label="์๋ณธ ํ๋กฌํํธ")
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english_prompt_display = gr.Textbox(label="์์ด ํ๋กฌํํธ")
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with gr.Row():
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with gr.Accordion("๊ณ ๊ธ ์ค์ ", open=False):
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with gr.Column():
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with gr.Row():
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cfg_scale = gr.Slider(label="CFG ์ค์ผ์ผ", minimum=1, maximum=20, step=0.5, value=3.5)
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steps = gr.Slider(label="์คํ
", minimum=1, maximum=50, step=1, value=28)
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with gr.Row():
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width = gr.Slider(label="๋๋น", minimum=256, maximum=1536, step=64, value=1024)
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height = gr.Slider(label="๋์ด", minimum=256, maximum=1536, step=64, value=1024)
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with gr.Row():
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randomize_seed = gr.Checkbox(True, label="์๋ ๋ฌด์์ํ")
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seed = gr.Slider(label="์๋", minimum=0, maximum=MAX_SEED, step=1, value=0, randomize=True)
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lora_scale = gr.Slider(label="LoRA ์ค์ผ์ผ", minimum=0, maximum=3, step=0.01, value=0.95)
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gallery.select(
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update_selection,
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@@ -299,5 +359,10 @@ with gr.Blocks(theme="Nymbo/Nymbo_Theme", css=css) as app:
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outputs=[result, seed, progress_bar, original_prompt_display, english_prompt_display]
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)
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app.queue()
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app.launch()
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import random
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import time
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from transformers import pipeline
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import sqlite3
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from datetime import datetime
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# ๋ฐ์ดํฐ๋ฒ ์ด์ค ์ด๊ธฐํ
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def init_db():
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conn = sqlite3.connect('gallery.db')
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c = conn.cursor()
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c.execute('''CREATE TABLE IF NOT EXISTS images
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(id INTEGER PRIMARY KEY AUTOINCREMENT,
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model_name TEXT,
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prompt TEXT,
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image_path TEXT,
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created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP)''')
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conn.commit()
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conn.close()
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# ์ด๋ฏธ์ง ์ ์ฅ ํจ์
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def save_image(image, model_name, prompt):
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timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
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filename = f"gallery_{timestamp}.png"
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image.save(os.path.join("gallery", filename))
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conn = sqlite3.connect('gallery.db')
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c = conn.cursor()
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c.execute("INSERT INTO images (model_name, prompt, image_path) VALUES (?, ?, ?)",
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(model_name, prompt, filename))
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conn.commit()
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conn.close()
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# ๊ฐค๋ฌ๋ฆฌ ์ด๋ฏธ์ง ๋ก๋ ํจ์
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def load_gallery_images():
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conn = sqlite3.connect('gallery.db')
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c = conn.cursor()
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c.execute("SELECT model_name, prompt, image_path FROM images ORDER BY created_at DESC")
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rows = c.fetchall()
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conn.close()
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return [(os.path.join("gallery", row[2]), f"{row[0]}: {row[1]}") for row in rows]
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# ๋ฒ์ญ ๋ชจ๋ธ ์ด๊ธฐํ
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translator = pipeline("translation", model="Helsinki-NLP/opus-mt-ko-en")
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final_image = image
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progress_bar = f'<div class="progress-container"><div class="progress-bar" style="--current: {step_counter}; --total: {steps};"></div></div>'
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yield image, seed, gr.update(value=progress_bar, visible=True), original_prompt, english_prompt
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# ๊ฐค๋ฌ๋ฆฌ์ ์ด๋ฏธ์ง ์ ์ฅ
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save_image(final_image, selected_lora['title'], original_prompt)
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yield final_image, seed, gr.update(value=progress_bar, visible=False), original_prompt, english_prompt
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def remove_custom_lora():
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return gr.update(visible=False), gr.update(visible=False), gr.update(), "", None, ""
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run_lora.zerogpu = True
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css = """
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}
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"""
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# ๊ฐค๋ฌ๋ฆฌ ๋๋ ํ ๋ฆฌ ์์ฑ
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if not os.path.exists('gallery'):
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os.makedirs('gallery')
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# ๋ฐ์ดํฐ๋ฒ ์ด์ค ์ด๊ธฐํ
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init_db()
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with gr.Blocks(theme="Nymbo/Nymbo_Theme", css=css) as app:
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selected_index = gr.State(None)
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with gr.Tabs():
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with gr.TabItem("์์ฑ"):
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with gr.Row():
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with gr.Column(scale=3):
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prompt = gr.Textbox(label="ํ๋กฌํํธ", lines=1, placeholder="LoRA๋ฅผ ์ ํํ ํ ํ๋กฌํํธ๋ฅผ ์
๋ ฅํ์ธ์ (ํ๊ธ ๋๋ ์์ด)")
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with gr.Column(scale=1, elem_id="gen_column"):
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generate_button = gr.Button("์์ฑ", variant="primary", elem_id="gen_btn")
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with gr.Row():
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with gr.Column():
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selected_info = gr.Markdown("")
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gallery = gr.Gallery(
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[(item["image"], item["title"]) for item in loras],
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label="LoRA ๊ฐค๋ฌ๋ฆฌ",
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allow_preview=False,
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columns=3,
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elem_id="gallery"
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)
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with gr.Group():
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custom_lora = gr.Textbox(label="์ปค์คํ
LoRA", info="LoRA Hugging Face ๊ฒฝ๋ก", placeholder="multimodalart/vintage-ads-flux")
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gr.Markdown("[FLUX LoRA ๋ชฉ๋ก ํ์ธ](https://huggingface.co/models?other=base_model:adapter:black-forest-labs/FLUX.1-dev)", elem_id="lora_list")
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custom_lora_info = gr.HTML(visible=False)
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custom_lora_button = gr.Button("์ปค์คํ
LoRA ์ ๊ฑฐ", visible=False)
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with gr.Column():
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progress_bar = gr.Markdown(elem_id="progress",visible=False)
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result = gr.Image(label="์์ฑ๋ ์ด๋ฏธ์ง")
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original_prompt_display = gr.Textbox(label="์๋ณธ ํ๋กฌํํธ")
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english_prompt_display = gr.Textbox(label="์์ด ํ๋กฌํํธ")
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with gr.Row():
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with gr.Accordion("๊ณ ๊ธ ์ค์ ", open=False):
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with gr.Column():
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with gr.Row():
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cfg_scale = gr.Slider(label="CFG ์ค์ผ์ผ", minimum=1, maximum=20, step=0.5, value=3.5)
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steps = gr.Slider(label="์คํ
", minimum=1, maximum=50, step=1, value=28)
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with gr.Row():
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width = gr.Slider(label="๋๋น", minimum=256, maximum=1536, step=64, value=1024)
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height = gr.Slider(label="๋์ด", minimum=256, maximum=1536, step=64, value=1024)
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with gr.Row():
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randomize_seed = gr.Checkbox(True, label="์๋ ๋ฌด์์ํ")
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seed = gr.Slider(label="์๋", minimum=0, maximum=MAX_SEED, step=1, value=0, randomize=True)
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lora_scale = gr.Slider(label="LoRA ์ค์ผ์ผ", minimum=0, maximum=3, step=0.01, value=0.95)
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with gr.TabItem("๊ฐค๋ฌ๋ฆฌ"):
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gallery_images = gr.Gallery(
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load_gallery_images(),
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label="์์ฑ๋ ์ด๋ฏธ์ง ๊ฐค๋ฌ๋ฆฌ",
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columns=3,
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rows=3,
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height="auto"
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)
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refresh_button = gr.Button("๊ฐค๋ฌ๋ฆฌ ์๋ก๊ณ ์นจ")
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gallery.select(
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update_selection,
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outputs=[result, seed, progress_bar, original_prompt_display, english_prompt_display]
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)
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refresh_button.click(
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lambda: gr.update(value=load_gallery_images()),
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outputs=[gallery_images]
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)
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app.queue()
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app.launch()
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