SickstadiumAI / app.py
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import gradio as gr
from video_processing import process_video, download_video, find_scenes, analyze_scenes, extract_best_scene, cleanup_temp_files
from gradio.themes.base import Base
from gradio.themes.utils import colors, fonts, sizes
from typing import Iterable
import uuid
import os
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):
upload_dir = "uploaded_videos"
os.makedirs(upload_dir, exist_ok=True)
file_path = os.path.join(upload_dir, f"{uuid.uuid4()}.mp4")
with open(file_path, "wb") as f:
f.write(uploaded_file)
return file_path
def display_results(video_url, video_file, description):
if video_url:
video_path = download_video(video_url)
elif video_file:
video_path = save_uploaded_file(video_file)
else:
return "No video provided", None
scenes = find_scenes(video_path)
if not scenes:
return "No scenes detected", None
best_scene = analyze_scenes(video_path, scenes, description)
final_clip = extract_best_scene(video_path, best_scene)
if final_clip:
output_dir = "output"
os.makedirs(output_dir, exist_ok=True)
final_clip_path = os.path.join(output_dir, f"{uuid.uuid4()}_final_clip.mp4")
final_clip.write_videofile(final_clip_path, codec='libx264', audio_codec='aac')
cleanup_temp_files()
return final_clip_path, final_clip_path
else:
return "No matching scene found", None
# Custom CSS for additional styling
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;
}
"""
def save_uploaded_file(uploaded_file):
upload_dir = "uploaded_videos"
os.makedirs(upload_dir, exist_ok=True)
file_path = os.path.join(upload_dir, f"{uuid.uuid4()}.mp4")
with open(file_path, "wb") as f:
f.write(uploaded_file)
return file_path
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:", elem_id="video_url")
video_file = gr.File(label="Upload Video File:", elem_id="video_file", interactive=True, file_types=["video"], type="binary")
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, video_file, description], outputs=[video_output, download_output])
demo.launch()