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import os
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("Sora"),
"ui-sans-serif",
"sans-serif",
),
font_mono: fonts.Font | str | Iterable[fonts.Font | str] = (
fonts.GoogleFont("Sora"),
"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_text_color="#ffffff",
)
custom_theme = CustomTheme()
def save_uploaded_file(uploaded_file):
print(f"Received object type: {type(uploaded_file)}")
if uploaded_file is None:
return None # Handle cases where no file was uploaded
if isinstance(uploaded_file, gr.NamedString):
print(f"File path from NamedString: {uploaded_file}")
return uploaded_file # Directly return the path if it's a NamedString
upload_dir = "uploaded_videos"
os.makedirs(upload_dir, exist_ok=True)
file_path = os.path.join(upload_dir, uploaded_file.name)
# Save the temporary file to a new location
with open(file_path, "wb") as f:
f.write(uploaded_file.read()) # Assuming file is a file-like object
f.flush()
os.fsync(f.fileno()) # Ensure all file data is flushed to disk
print(f"File saved to {file_path}, size: {os.path.getsize(file_path)} bytes")
return file_path
def display_results(video_url, video_file, description):
final_clip_path = None
if video_url:
final_clip_path = process_video(video_url, description, is_url=True)
elif video_file:
video_file_path = save_uploaded_file(video_file)
if video_file_path:
final_clip_path = process_video(video_file_path, description, is_url=False)
else:
return "No file provided or file save error", None
if final_clip_path:
return final_clip_path, final_clip_path
else:
return "No matching scene found", None
css = """
body {
background-color: #ffffff;
background-image: radial-gradient(#eb5726 1px, transparent 1px);
background-size: 10px 10px;
background-repeat: 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;
}
#submit_button:hover {
background-color: #f5986e;
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: 3em !important;
font-weight: bold;
text-transform: uppercase;
}
"""
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 video editing skills. Upload your video, describe 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:")
video_file = gr.File(label="Upload Video File:")
description = gr.Textbox(label="Describe your clip:")
submit_button = gr.Button("Process Video")
video_output = gr.Video(label="Processed Video")
download_output = gr.File(label="Download Processed Video")
submit_button.click(fn=display_results, inputs=[video_url, video_file, description], outputs=[video_output, download_output])
demo.launch()
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