Spaces:
Runtime error
Runtime error
| import gradio as gr | |
| import os | |
| from spaces_utils import authenticate | |
| # Load tokens | |
| GRADIO_TOKEN = os.environ.get("READ_TOKEN") # read | |
| # Logs repo path | |
| dataset_url = "https://huggingface.co/datasets/sandl/upload_particles_segmentation" | |
| dataset_path = "logs_particles_segmentation.csv" | |
| def authenticate_from_public(username, password): | |
| return authenticate(username, password, dataset_url, dataset_path) | |
| css_styling = """#submit {background: #1eccd8} | |
| #submit:hover {background: #a2f1f6} | |
| .output-image, .input-image, .image-preview {height: 250px !important} | |
| .output-plot {height: 250px !important}""" | |
| light_theme_colors = gr.themes.Color(c50="#e4f3fa", # Dataframe background cell content - light mode only | |
| c100="#e4f3fa", # Top corner of clear button in light mode + markdown text in dark mode | |
| c200="#a1c6db", # Component borders | |
| c300="#FFFFFF", # | |
| c400="#e4f3fa", # Footer text | |
| c500="#0c1538", # Text of component headers in light mode only | |
| c600="#a1c6db", # Top corner of button in dark mode | |
| c700="#475383", # Button text in light mode + component borders in dark mode | |
| c800="#0c1538", # Markdown text in light mode | |
| c900="#a1c6db", # Background of dataframe - dark mode | |
| c950="#0c1538") # Background in dark mode only | |
| # secondary color used for highlight box content when typing in light mode, and download option in dark mode | |
| # primary color used for login button in dark mode | |
| osium_theme = gr.themes.Default(primary_hue="cyan", secondary_hue="cyan", neutral_hue=light_theme_colors) | |
| page_title = "Nanoparticles characterization" | |
| favicon_path = "osiumai_favicon.ico" | |
| logo_path = "osiumai_logo.jpg" | |
| html = f"""<html> <link rel="icon" type="image/x-icon" href="file={favicon_path}"> | |
| <img src='file={logo_path}' alt='Osium AI logo' width='200' height='100'> </html>""" | |
| with gr.Blocks(css=css_styling, theme=osium_theme, title=page_title, show_progress=True) as demo_from_private: | |
| gr.Interface.load("spaces/sandl/private_particles_segmentation", api_key=GRADIO_TOKEN, enable_queue=True) | |
| if __name__ == "__main__": | |
| demo_from_private.queue(concurrency_count=2) | |
| demo_from_private.launch(debug=True, enable_queue=True) |