app.py

import gradio as gr
from api import pipeline_video_analysis  

def gradio_process_video(video_file, threshold, offset_frames, crop_ratio):
    images, scenes_info = pipeline_video_analysis(video_file, threshold, offset_frames, crop_ratio)
    return images, scenes_info

with gr.Blocks() as demo:
    gr.Markdown("# Extracción de escenas con svision")
    
    with gr.Row():
        video_input = gr.Video(label="Sube un vídeo")
        threshold_slider = gr.Slider(0.0, 100.0, value=30.0, label="Threshold")
        offset_slider = gr.Slider(0, 30, value=10, step=1, label="Offset frames")
        crop_slider = gr.Slider(0.0, 1.0, value=0.1, step=0.05, label="Crop ratio")
        btn = gr.Button("Extraer escenas")
    
    gallery_out = gr.Gallery(label="Fotogramas clave", show_label=False, columns=4, height="auto")
    json_out = gr.JSON(label="Información de escenas")

    btn.click(gradio_process_video, [video_input, threshold_slider, offset_slider, crop_slider], [gallery_out, json_out])

demo.launch()