# This is a Gradio app that provides a video forensics suite with various tools for video analysis.
import gradio as gr

# Define a function to clean audio from a video file.
def clean_audio(video):
    # Placeholder function for audio cleaning
    return video

# Define a function to enhance the video quality.
def enhance_video(video):
    # Placeholder function for video enhancement
    return video

# Define a function to capture a frame from the video.
def capture_frame(video, frame_number):
    # Placeholder function for frame capture
    return video

# Define a function to detect faces in the video.
def face_detection(video):
    # Placeholder function for face detection
    return video

# Define a function to zoom and pan the video.
def zoom_pan(video, zoom_level, pan_x, pan_y):
    # Placeholder function for zoom and pan
    return video

# Define a function to recognize license plates in the video.
def plate_recognition(video):
    # Placeholder function for plate recognition
    return video

# Define a function to generate a report.
def generate_report(video):
    # Placeholder function for report generation
    return "Report generated for video: " + video

# Create a Gradio Blocks interface for the video forensics suite.
with gr.Blocks() as demo:
    # Define the header section
    with gr.Row():
        with gr.Column():
            gr.Markdown("# Advanced Video Forensics & Analysis")
            gr.Markdown("Professional-grade tools for video enhancement, audio cleaning, facial recognition, and license plate analysis. Transform low-quality footage into actionable intelligence.")
            gr.Button("Start Analysis", variant="primary")

    # Define the features section
    with gr.Row():
        with gr.Column():
            gr.Markdown("### Clean Audio")
            gr.Markdown("Remove background noise, enhance speech clarity, and isolate voices with our advanced audio processing algorithms.")
        with gr.Column():
            gr.Markdown("### Video Enhancement")
            gr.Markdown("Improve resolution, reduce noise, and enhance details in low-quality video footage for better analysis.")
        with gr.Column():
            gr.Markdown("### Still Extraction")
            gr.Markdown("Capture high-quality still images from video at any frame for detailed examination and evidence collection.")
        with gr.Column():
            gr.Markdown("### Face Recognition")
            gr.Markdown("Identify and track individuals across video sequences with our state-of-the-art facial recognition technology.")
        with gr.Column():
            gr.Markdown("### Precision Zoom")
            gr.Markdown("Digital zoom with intelligent interpolation to maintain image quality when examining details.")
        with gr.Column():
            gr.Markdown("### License Plate Focus")
            gr.Markdown("Automatically detect and enhance license plates for clear identification and OCR processing.")

    # Define the workspace section
    with gr.Row():
        with gr.Column():
            gr.Markdown("## Forensic Workspace")
            gr.Markdown("Current File: surveillance_footage_042.mp4")
            with gr.Row():
                gr.Button("Clean Audio", variant="secondary")
                gr.Button("Enhance Video", variant="secondary")
                gr.Button("Capture Frame", variant="secondary")
                gr.Button("Face Detection", variant="secondary")
                gr.Button("Zoom & Pan", variant="secondary")
                gr.Button("Plate Recognition", variant="secondary")
                gr.Button("Generate Report", variant="secondary")

            # Video container
            video_input = gr.Video(label="Video Analysis in Progress")

            # Controls
            with gr.Row():
                gr.Button("Step Backward", variant="secondary")
                gr.Button("Play", variant="secondary")
                gr.Button("Step Forward", variant="secondary")
                gr.Button("Pause", variant="secondary")
                gr.Button("Expand", variant="secondary")

    # Define the analytics section
    with gr.Row():
        with gr.Column():
            gr.Markdown("### Detection Accuracy")
            gr.Plot(label="Accuracy Metrics Visualization")
        with gr.Column():
            gr.Markdown("### Identified Subjects")
            gr.Plot(label="Subject Tracking Graph")
        with gr.Column():
            gr.Markdown("### License Plates")
            gr.Plot(label="Plate Recognition Results")

# Launch the Gradio interface
demo.launch(show_error=True)