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import gradio as gr
from video_processing import process_video
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
css = """
body {
background-color: #eb5726;
color: #ffffff;
font-family: 'Arial', sans-serif;
}
h1 {
color: #282828;
text-align: center;
}
h2 {
color: #eb5726;
}
h3 {
color: #eb5726;
}
h4 {
color: #eb5726;
}
h5 {
color: #282828;
}
h6 {
color: #eb5726;
}
#video_url {
background-color: #eb5726;
color: #ffffff;
border: 2px solid #ecf0f1;
}
#video_url + label {
color: #ffffff;
}
#description + label {
background-color: #ecf0f1;
color: #eb5726;
border: 2px solid #eb5726;
}
#submit_button {
background-color: #ffffff;
color: #ffffff;
border: 2px solid #eb5726;
}
#submit_button:hover {
background-color: #c0392b;
}
#video_output, #download_output {
border: 1px solid #eb5726;
}
.centered-markdown {
display: flex;
justify-content: center;
align-items: center;
text-align: center;
width: 100%;
}
.textbox-label {
color: #eb5726;
}
#description ~ label {
color: #eb5726;
}
"""
with gr.Blocks(css=css) as demo:
with gr.Column():
gr.Markdown("# Sickstadium AI", elem_classes="centered-markdown")
gr.Markdown("### Upload your video. Find sick clips. Tell your truth.", 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()
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