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import gradio as gr | |
from video_processing import process_video | |
from gradio.themes.base import Base | |
from gradio.themes.utils import colors, fonts, sizes | |
class CustomTheme(Base): | |
def __init__( | |
self, | |
*, | |
primary_hue: colors.Color | str = colors.emerald, | |
secondary_hue: colors.Color | str = colors.blue, | |
neutral_hue: colors.Color | str = colors.blue, | |
spacing_size: sizes.Size | str = sizes.spacing_md, | |
radius_size: sizes.Size | str = sizes.radius_md, | |
text_size: sizes.Size | str = sizes.text_lg, | |
font: fonts.Font | |
| str | |
| Iterable[fonts.Font | str] = ( | |
fonts.GoogleFont("Quicksand"), | |
"ui-sans-serif", | |
"sans-serif", | |
), | |
font_mono: fonts.Font | |
| str | |
| Iterable[fonts.Font | str] = ( | |
fonts.GoogleFont("IBM Plex Mono"), | |
"ui-monospace", | |
"monospace", | |
), | |
): | |
super().__init__( | |
primary_hue=primary_hue, | |
secondary_hue=secondary_hue, | |
neutral_hue=neutral_hue, | |
spacing_size=spacing_size, | |
radius_size=radius_size, | |
text_size=text_size, | |
font=font, | |
font_mono=font_mono, | |
) | |
super().set( | |
body_background_fill="#eb5726", | |
body_text_color="#ffffff", | |
block_background_fill="#ffffff", | |
block_title_text_color="#282828", | |
input_background_fill="#ecf0f1", | |
input_text_color="#eb5726", | |
block_label_text_color="#eb5726", | |
input_label_text_color="#ffffff", | |
button_primary_background_fill="linear-gradient(90deg, *primary_300, *secondary_400)", | |
button_primary_background_fill_hover="linear-gradient(90deg, *primary_200, *secondary_300)", | |
button_primary_text_color="white", | |
button_primary_background_fill_dark="linear-gradient(90deg, *primary_600, *secondary_800)", | |
slider_color="*secondary_300", | |
slider_color_dark="*secondary_600", | |
block_title_text_weight="600", | |
block_border_width="3px", | |
block_shadow="*shadow_drop_lg", | |
button_shadow="*shadow_drop_lg", | |
button_large_padding="32px", | |
) | |
custom_theme = CustomTheme() | |
def display_results(video_url, description): | |
final_clip_path = process_video(video_url, description) | |
if final_clip_path: | |
return final_clip_path, final_clip_path | |
return "No matching scene found", None | |
with gr.Blocks(theme=custom_theme) as demo: | |
with gr.Column(): | |
gr.Markdown("# Sickstadium AI", elem_classes="centered-markdown") | |
gr.Markdown("### This is a brief description for the webpage.", elem_classes="centered-markdown") | |
video_url = gr.Textbox(label="Video URL or Filepath", elem_id="video_url") | |
description = gr.Textbox(label="Description of desired clip", elem_id="description") | |
submit_button = gr.Button("Process Video", elem_id="submit_button") | |
video_output = gr.Video(label="Processed Video", elem_id="video_output") | |
download_output = gr.File(label="Download Processed Video", elem_id="download_output") | |
submit_button.click(fn=display_results, inputs=[video_url, description], outputs=[video_output, download_output]) | |
demo.launch() | |