Update app.py
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app.py
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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@author: standarduser
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"""
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import gradio as gr
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from tabs.tab_videoframes import create_tab_videoframes
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from tabs.
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from processing.image_processing import process_image
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# Gradio App erstellen
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with gr.Blocks() as demo:
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gr.Markdown("# SVAT - Synthetic Video
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with gr.Tabs():
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if __name__ == "__main__":
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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SVAT - Synthetic Video Analyze Tool
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Created on Wed Oct 29 12:00:23 2025
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@author: standarduser
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"""
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import gradio as gr
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from tabs.tab_videoframes import create_tab_videoframes
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from tabs.tab_fft import create_tab_image_fft
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from tabs.tab_video_analysis import create_tab_video_analysis
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from processing.image_processing import process_image
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# Gradio App erstellen
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with gr.Blocks() as demo:
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gr.Markdown("# SVAT - Synthetic Video Analyze Tool")
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gr.Markdown("*Analyze videos for synthetic/AI-generated content artifacts*")
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# Shared state for video frames across tabs
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shared_video_frames = gr.State([])
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with gr.Tabs():
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# Tab 1: Frame-by-frame analysis
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video_frames_output = create_tab_videoframes("Video-Frames", process_image, shared_video_frames)
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# Tab 2: Video-level analysis
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video_analysis_frames = create_tab_video_analysis("Video Analysis")
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# Tab 3: Help
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create_tab_image_fft("Help")
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# Connect the video frames state between tabs
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# When frames are loaded in tab 1, update tab 2
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video_frames_output.change(
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fn=lambda frames: frames,
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inputs=[video_frames_output],
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outputs=[video_analysis_frames]
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)
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if __name__ == "__main__":
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