import io
import gradio as gr
from PIL import Image
import vtracer
import tempfile

def convert_image(image, color_mode, hierarchical, mode, filter_speckle,
                  color_precision, layer_difference, corner_threshold,
                  length_threshold, max_iterations, splice_threshold, path_precision):
    """Converts an image to SVG using vtracer with customizable parameters."""

    # Convert Gradio image to bytes for vtracer compatibility
    img_byte_array = io.BytesIO()
    image.save(img_byte_array, format='PNG')
    img_bytes = img_byte_array.getvalue()

    # Perform the conversion
    svg_str = vtracer.convert_raw_image_to_svg(
        img_bytes,
        img_format='png',
        colormode=color_mode.lower(),
        hierarchical=hierarchical.lower(),
        mode=mode.lower(),
        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)
    )

    # Save the SVG string to a temporary file
    temp_file = tempfile.NamedTemporaryFile(delete=False, suffix='.svg')
    temp_file.write(svg_str.encode('utf-8'))
    temp_file.close()

    return gr.HTML(f'<svg viewBox="0 0 {image.width} {image.height}">{svg_str}</svg>'), temp_file.name

# Gradio interface
iface = gr.Blocks()

with iface:
    
    gr.Interface(
    fn=convert_image,
    inputs=[
        gr.Image(type="pil", label="Upload Image"),
        gr.Radio(choices=["Color", "Binary"], value="Color", label="Color Mode"),
        gr.Radio(choices=["Stacked", "Cutout"], value="Stacked", label="Hierarchical"),
        gr.Radio(choices=["Spline", "Polygon", "None"], value="Spline", label="Mode"),
        gr.Slider(minimum=1, maximum=10, value=4, step=1, label="Filter Speckle"),
        gr.Slider(minimum=1, maximum=8, value=6, step=1, label="Color Precision"),
        gr.Slider(minimum=1, maximum=32, value=16, step=1, label="Layer Difference"),
        gr.Slider(minimum=10, maximum=90, value=60, step=1, label="Corner Threshold"),
        gr.Slider(minimum=3.5, maximum=10, value=4.0, step=0.5, label="Length Threshold"),
        gr.Slider(minimum=1, maximum=20, value=10, step=1, label="Max Iterations"),
        gr.Slider(minimum=10, maximum=90, value=45, step=1, label="Splice Threshold"),
        gr.Slider(minimum=1, maximum=10, value=8, step=1, label="Path Precision")
    ],
    outputs=[
        gr.HTML(label="SVG Output"),
        gr.File(label="Download SVG")
    ],
    title="Convert Image to SVG vectors",
    description="Upload an image and customize the conversion parameters as needed.<br><h2>Support me USDT (TRC-20): TAe7hsSVWtMEYz3G5V1UiUdYPQVqm28bKx</h2>",
)

    
iface.launch()