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

# Localization dictionary
TRANSLATIONS = {
    'en': {
        'title': 'Convert Image to SVG Vectors',
        'description': 'Upload an image and customize the conversion parameters as needed.'
    },
    'de': {
        'title': 'Bild in SVG-Vektoren umwandeln',
        'description': 'Laden Sie ein Bild hoch und passen Sie die Konvertierungsparameter nach Bedarf an.'
    }
}

def convert_image(image, color_mode, hierarchical, mode, filter_speckle,
 color_precision, layer_difference, corner_threshold,
 length_threshold, max_iterations, splice_threshold, path_precision, language):
    """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
vector_converter_interface = gr.Blocks()

with vector_converter_interface:
    language_dropdown = gr.Dropdown(
        choices=['en', 'de'], 
        value='en', 
        label='Language',
        type='value'
    )

    interface = 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"),
            language_dropdown
        ],
        outputs=[
            gr.HTML(label="SVG Output"),
            gr.File(label="Download SVG")
        ],
        title=gr.State(TRANSLATIONS['en']['title']),
        description=gr.State(TRANSLATIONS['en']['description'])
    )

    def update_language(language):
        return {
            interface.title: TRANSLATIONS[language]['title'],
            interface.description: TRANSLATIONS[language]['description']
        }

    language_dropdown.change(
        update_language, 
        inputs=language_dropdown, 
        outputs=[interface.title, interface.description]
    )

vector_converter_interface.launch()