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