Spaces:
Sleeping
Sleeping
File size: 4,433 Bytes
dcb53fc 0268b89 79da273 0268b89 3af1c8c 0268b89 79da273 0268b89 79da273 0d88658 beacb7e 0268b89 0d88658 beacb7e 0268b89 e76448d 3af1c8c 0268b89 12d9720 81edc2c 79da273 0268b89 3af1c8c dcb53fc f774200 e579fcc f774200 4e02215 82df05c 0057dbb 111736f 82df05c 4e02215 df55e72 e755c35 4e02215 de9023a 4e02215 5d5059e 6bf06f4 7bbcb9d ec891c9 5d5059e dcb53fc |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 |
import gradio as gr
from video_processing import process_video
from gradio.themes.base import Base
from gradio.themes.utils import colors, fonts, sizes
from typing import Iterable
class CustomTheme(Base):
def __init__(
self,
*,
primary_hue: colors.Color | str = colors.orange,
secondary_hue: colors.Color | str = colors.orange,
neutral_hue: colors.Color | str = colors.gray,
spacing_size: sizes.Size | str = sizes.spacing_md,
radius_size: sizes.Size | str = sizes.radius_md,
text_size: sizes.Size | str = sizes.text_md,
font: fonts.Font | str | Iterable[fonts.Font | str] = (
fonts.GoogleFont("Roboto"),
"ui-sans-serif",
"sans-serif",
),
font_mono: fonts.Font | str | Iterable[fonts.Font | str] = (
fonts.GoogleFont("Roboto 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="radial-gradient(circle at center, rgba(235, 87, 38, 1) 0%, rgba(235, 87, 38, 0) 70%), radial-gradient(#eb5726 1px, transparent 1px)",
body_text_color="#282828",
block_background_fill="#ffffff",
block_title_text_color="#eb5726",
block_label_text_color="#eb5726",
button_primary_background_fill="#eb5726",
button_primary_background_fill_hover="#ffffff",
button_primary_text_color="#ffffff",
button_primary_text_color_hover="#eb5726",
)
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
# Custom CSS for additional styling
css = """
body {
background-color: #ffffff;
background-image:
radial-gradient(#eb5726 1px, transparent 1px),
radial-gradient(circle at center, rgba(235, 87, 38, 1) 0%, rgba(235, 87, 38, 0) 70%);
background-size: 10px 10px, cover;
background-repeat: repeat, no-repeat;
background-attachment: fixed;
}
#video_url {
background-color: #ffffff;
color: #282828;
border: 2px solid #eb5726;
}
#description {
background-color: #ffffff;
color: #282828;
border: 2px solid #eb5726;
}
#submit_button {
background-color: #eb5726;
color: #ffffff;
border: 2px solid #ffffff;
}
label[for="video_url"] {
color: #eb5726 !important;
}
label[for="description"] {
color: #eb5726 !important;
}
h3 {
color: #eb5726;
}
.centered-markdown {
text-align: center;
background-color: #ffffff;
padding: 10px;
}
#sickstadium-title {
font-size: 2em !important;
font-weight: bold;
}
"""
with gr.Blocks(theme=custom_theme, css=css) as demo:
with gr.Column():
gr.Markdown("# **Sickstadium AI**", elem_classes="centered-markdown", elem_id="sickstadium-title")
gr.Markdown("### Upload your videos. Find sick clips. Tell your truth.", elem_classes="centered-markdown")
gr.Markdown("**Welcome to Sickstadium AI. Our goal is to empower content creators with the ability to tell their stories without the friction of traditional video editing software. Skip the timeline, and don't worry about your experience in video editing. Upload your video, explain the clip you want, and let our AI video editor do the work for you. Get more info about the Sickstadium project at [Strongholdlabs.io](https://strongholdlabs.io/)**", elem_classes="centered-markdown")
video_url = gr.Textbox(label="Video URL:", elem_id="video_url")
description = gr.Textbox(label="Describe your 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()
|