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VictorSanh
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first commit
Browse files
README.md
CHANGED
@@ -2,11 +2,11 @@
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title: Img2html
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emoji: ⚡
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colorFrom: red
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-
colorTo:
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sdk: gradio
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sdk_version: 4.13.0
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app_file: app.py
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pinned: false
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---
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-
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title: Img2html
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emoji: ⚡
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colorFrom: red
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colorTo: green
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sdk: gradio
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sdk_version: 4.13.0
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app_file: app.py
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pinned: false
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---
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Demo
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app.py
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from typing import List, Optional, Tuple
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from PIL import Image
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from playwright.sync_api import sync_playwright
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import os
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import gradio as gr
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from gradio_client.client import DEFAULT_TEMP_DIR
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from transformers import AutoProcessor, AutoModelForCausalLM
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API_TOKEN = os.getenv("HF_AUTH_TOKEN")
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# PROCESSOR = AutoProcessor.from_pretrained(
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# "HuggingFaceM4/img2html",
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# token=API_TOKEN,
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# )
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IMAGE_GALLERY_PATHS = [
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f"example_images/{ex_image}"
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for ex_image in os.listdir(f"example_images")
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]
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def add_file_gallery(selected_state: gr.SelectData, gallery_list: List[str]):
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# return (
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# f"example_images/{gallery_list.root[selected_state.index].image.orig_name}",
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# "",
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# )
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return f"example_images/{gallery_list.root[selected_state.index].image.orig_name}"
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def expand_layout():
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return gr.Column(scale=2), gr.Textbox()
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def render_webpage(
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html_css_code,
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):
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with sync_playwright() as p:
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browser = p.chromium.launch(headless=True)
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context = browser.new_context(
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user_agent=(
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"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/107.0.0.0"
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" Safari/537.36"
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)
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)
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page = context.new_page()
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page.set_content(html_css_code)
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page.wait_for_load_state("networkidle")
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output_path_screenshot = f"{DEFAULT_TEMP_DIR}/{hash(html_css_code)}.png"
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page.screenshot(path=output_path_screenshot, full_page=True)
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context.close()
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browser.close()
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return Image.open(output_path_screenshot)
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def model_inference(
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image,
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):
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CAR_COMPNAY = """<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>XYZ Car Company</title>
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<style>
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body {
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font-family: 'Arial', sans-serif;
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margin: 0;
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padding: 0;
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background-color: #f4f4f4;
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}
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header {
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background-color: #333;
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color: #fff;
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padding: 1em;
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text-align: center;
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}
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nav {
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background-color: #555;
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color: #fff;
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padding: 0.5em;
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text-align: center;
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}
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nav a {
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color: #fff;
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text-decoration: none;
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padding: 0.5em 1em;
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margin: 0 1em;
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}
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section {
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padding: 2em;
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}
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h2 {
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color: #333;
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}
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.car-container {
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display: flex;
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flex-wrap: wrap;
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justify-content: space-around;
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}
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.car-card {
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width: 300px;
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margin: 1em;
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border: 1px solid #ddd;
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border-radius: 5px;
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overflow: hidden;
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box-shadow: 0 2px 4px rgba(0, 0, 0, 0.1);
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}
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.car-image {
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width: 100%;
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height: 150px;
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object-fit: cover;
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}
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.car-details {
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padding: 1em;
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}
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footer {
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background-color: #333;
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color: #fff;
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text-align: center;
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padding: 1em;
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position: fixed;
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bottom: 0;
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width: 100%;
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}
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</style>
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</head>
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<body>
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<header>
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<h1>XYZ Car Company</h1>
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</header>
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<nav>
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<a href="#">Home</a>
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<a href="#">Models</a>
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<a href="#">About Us</a>
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<a href="#">Contact</a>
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</nav>
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<section>
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<h2>Our Cars</h2>
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<div class="car-container">
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<div class="car-card">
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<img src="car1.jpg" alt="Car 1" class="car-image">
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<div class="car-details">
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<h3>Model A</h3>
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<p>Description of Model A.</p>
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</div>
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</div>
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<div class="car-card">
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<img src="car2.jpg" alt="Car 2" class="car-image">
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<div class="car-details">
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<h3>Model B</h3>
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<p>Description of Model B.</p>
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</div>
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</div>
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<!-- Add more car cards as needed -->
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</div>
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</section>
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<footer>
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© 2024 XYZ Car Company. All rights reserved.
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</footer>
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</body>
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</html>"""
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rendered_page = render_webpage(CAR_COMPNAY)
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return CAR_COMPNAY, rendered_page
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# textbox = gr.Textbox(
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# placeholder="Upload an image and ask the AI to create a meme!",
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# show_label=False,
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# value="Write a meme about this image.",
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# visible=True,
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# container=False,
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# label="Text input",
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# scale=8,
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# max_lines=5,
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# )
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generated_html = gr.Textbox(
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label="IDEFICS Generated HTML",
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elem_id="generated_html",
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)
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rendered_html = gr.Image(
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)
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css = """
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.gradio-container{max-width: 1000px!important}
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h1{display: flex;align-items: center;justify-content: center;gap: .25em}
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*{transition: width 0.5s ease, flex-grow 0.5s ease}
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"""
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with gr.Blocks(title="Img2html", theme=gr.themes.Base(), css=css) as demo:
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with gr.Row(equal_height=True):
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# scale=2 when expanded
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with gr.Column(scale=4, min_width=250) as upload_area:
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imagebox = gr.Image(
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type="filepath", label="Image to HTML", height=272, visible=True, sources=["upload", "clipboard"],
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)
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with gr.Group():
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with gr.Row():
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submit_btn = gr.Button(
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value="▶️ Submit", visible=True, min_width=120
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)
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clear_btn = gr.ClearButton(
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[imagebox, generated_html, rendered_html], value="🧹 Clear", min_width=120
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)
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regenerate_btn = gr.Button(
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value="🔄 Regenerate", visible=True, min_width=120
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)
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with gr.Column(scale=5) as result_area:
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rendered_html.render()
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with gr.Row():
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generated_html.render()
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with gr.Row(equal_height=True):
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template_gallery = gr.Gallery(
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value=IMAGE_GALLERY_PATHS,
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label="Templates Gallery",
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allow_preview=False,
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columns=4,
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elem_id="gallery",
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show_share_button=False,
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height=400,
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)
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gr.on(
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triggers=[
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imagebox.upload,
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submit_btn.click,
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template_gallery.select,
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regenerate_btn.click,
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],
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fn=model_inference,
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inputs=[
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imagebox,
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],
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outputs=[generated_html, rendered_html],
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queue=False,
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)
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regenerate_btn.click(
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fn=model_inference,
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inputs=[
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imagebox,
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],
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outputs=[generated_html, rendered_html],
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queue=False,
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)
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template_gallery.select(
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fn=add_file_gallery,
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inputs=[template_gallery],
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outputs=[imagebox],
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queue=False,
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)
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demo.load(
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# fn=choose_gallery,
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# inputs=[gallery_type_choice],
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# outputs=[template_gallery],
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queue=False,
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)
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demo.queue(max_size=40, api_open=False)
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demo.launch(max_threads=400)
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