import gradio as gr
import vtracer
import os

def convert_to_vector(image, colormode, hierarchical, mode, filter_speckle, color_precision, layer_difference, corner_threshold, length_threshold, max_iterations, splice_threshold, path_precision):
    input_path = "temp_input.jpg"
    output_path = "svg_output.svg"

    # Save the input image to a temporary file
    image.save(input_path)

    # Convert the image to SVG using VTracer
    vtracer.convert_image_to_svg_py(
        input_path,
        output_path,
        colormode=colormode,
        hierarchical=hierarchical,
        mode=mode,
        filter_speckle=int(filter_speckle),
        color_precision=int(color_precision),
        layer_difference=int(layer_difference),
        corner_threshold=int(corner_threshold),
        length_threshold=float(length_threshold),
        max_iterations=int(max_iterations),
        splice_threshold=int(splice_threshold),
        path_precision=int(path_precision)
    )
    # Read the SVG output
    with open(output_path, "r") as f:
        svg_content = f.read()

    # Return the SVG file path instead of content
    return gr.HTML(f'<svg viewBox="0 0 {image.width} {image.height}">{svg_content}</svg>'), output_path
    # return output_path,output_path

def handle_color_mode(value):
    # You can change this to display the selected value without any prefix
    return value


css = """
#col-container {
    margin: 0 auto;
    max-width: 960px;
}
.generate-btn {
    background: linear-gradient(90deg, #4B79A1 0%, #283E51 100%) !important;
    border: none !important;
    color: white !important;
}
.generate-btn:hover {
    transform: translateY(-2px);
    box-shadow: 0 5px 15px rgba(0,0,0,0.2);
}
"""

# Define the Gradio interface
with gr.Blocks(css=css) as app:
    with gr.Column(elem_id="col-container"):
        gr.HTML("""
                <div style="text-align: center;">
                    <h2>Image to Vector Converter ⚡</h2>
                    <p>Converts raster images (JPG, PNG, WEBP) to vector graphics (SVG).</p>
                </div>
            """)
        with gr.Row():
            with gr.Column():
                image_input = gr.Image(type="pil", label="Upload Image")
                with gr.Accordion("Advanced Settings", open=False):
                    with gr.Accordion("Clustering", open=False):
                        colormode = gr.Radio([("COLOR","color"),("B/W", "binary")], value="color", label="Color Mode", show_label=False)
                        filter_speckle = gr.Slider(0, 128, value=4, step=1, label="Filter Speckle", info="Cleaner")
                        color_precision = gr.Slider(1, 8, value=6, step=1, label="Color Precision", info="More accurate")
                        layer_difference = gr.Slider(0, 128, value=16, step=1, label="Gradient Step", info="Less layers")
                        hierarchical = gr.Radio([("STACKED","stacked"), ("CUTOUT","cutout")], value="stacked", label="Hierarchical Mode",show_label=False)
                    with gr.Accordion("Curve Fitting", open=False):
                        mode = gr.Radio([("SPLINE","spline"),("POLYGON", "polygon"), ("PIXEL","none")], value="spline", label="Mode", show_label=False)
                        corner_threshold = gr.Slider(0, 180, value=60, step=1, label="Corner Threshold", info="Smoother")
                        length_threshold = gr.Slider(3.5, 10, value=4.0, step=0.1, label="Segment Length", info ="More coarse")
                        splice_threshold = gr.Slider(0, 180, value=45, step=1, label="Splice Threshold", info="Less accurate")
                        max_iterations = gr.Slider(1, 20, value=10, step=1, label="Max Iterations", visible=False)
                        path_precision = gr.Slider(1, 10, value=3, step=1, label="Path Precision", visible=False)
                        output_text = gr.Textbox(label="Selected Mode", visible=False)
                with gr.Row():
                    clear_button = gr.Button("Clear")
                    convert_button = gr.Button("✨ Convert to SVG", variant='primary', elem_classes=["generate-btn"])

            with gr.Column():
                html = gr.HTML(label="SVG Output") # container=True, show_label=True
                svg_output = gr.File(label="Download SVG")
    # Store default values for restoration
    colormode.change(handle_color_mode, inputs=colormode,outputs=output_text)
    hierarchical.change(handle_color_mode, inputs=hierarchical,outputs=output_text)
    mode.change(handle_color_mode, inputs=mode,outputs=output_text)
    default_values = {
        "color_precision": 6,
        "layer_difference": 16
    }

    def clear_inputs():
        return gr.Image(value=None), gr.Radio(value="color"), gr.Radio(value="stacked"), gr.Radio(value="spline"), gr.Slider(value=4), gr.Slider(value=6), gr.Slider(value=16), gr.Slider(value=60), gr.Slider(value=4.0), gr.Slider(value=10), gr.Slider(value=45), gr.Slider(value=3)


    def update_interactivity_and_visibility(colormode, color_precision_value, layer_difference_value):
        is_color_mode = colormode == "color"
        return (
            gr.update(interactive=is_color_mode),
            gr.update(interactive=is_color_mode),
            gr.update(visible=is_color_mode)  # Show/Hide Hierarchical Mode
        )

    colormode.change(
        update_interactivity_and_visibility,
        inputs=[colormode, color_precision, layer_difference],
        outputs=[color_precision, layer_difference, hierarchical]
    )

    def update_interactivity_and_visibility_for_mode(mode):
        is_spline_mode = mode == "spline"
        return (
            gr.update(interactive=is_spline_mode),
            gr.update(interactive=is_spline_mode),
            gr.update(interactive=is_spline_mode)
        )

    mode.change(
        update_interactivity_and_visibility_for_mode,
        inputs=[mode],
        outputs=[corner_threshold,length_threshold,splice_threshold]
    )

    clear_button.click(
        clear_inputs,
        outputs=[
            image_input,
            colormode,
            hierarchical,
            mode,
            filter_speckle,
            color_precision,
            layer_difference,
            corner_threshold,
            length_threshold,
            max_iterations,
            splice_threshold,
            path_precision
        ]
    )

    convert_button.click(
        convert_to_vector,
        inputs=[
            image_input,
            colormode,
            hierarchical,
            mode,
            filter_speckle,
            color_precision,
            layer_difference,
            corner_threshold,
            length_threshold,
            max_iterations,
            splice_threshold,
            path_precision
        ],
        outputs=[html,svg_output]
    )

# Launch the app
app.launch(debug=True)