import gradio as gr
from aksharamukha import transliterate

# A curated list of common scripts. The engine supports over 120+ scripts,
# but these cover the major use cases.
SCRIPTS = [
    "autodetect", "Devanagari", "Gujarati", "Bengali", "Telugu",
    "Tamil", "Kannada", "Malayalam", "Odia", "Punjabi",
    "IAST", "HK", "ITRANS", "SLP1", "autodetect", "Urdu"
]

def convert_script(source_script, target_script, text):
    if not text.strip():
        return ""
    try:
        # If autodetect is chosen, the engine will find the source script automatically
        if source_script == "autodetect":
            result = transliterate.process('autodetect', target_script, text)
        else:
            result = transliterate.process(source_script, target_script, text)
        return result
    except Exception as e:
        return f"Error during transliteration: {str(e)}"

# Define the user interface
with gr.Blocks() as demo:
    gr.Markdown("# 𑀅 Aksharamukha Script Converter")
    gr.Markdown("A fast, lossless transliteration tool for Indic scripts powered by the official Aksharamukha engine.")

    with gr.Row():
        with gr.Column():
            src_dropdown = gr.Dropdown(choices=SCRIPTS, value="autodetect", label="Source Script")
            input_text = gr.Textbox(lines=8, placeholder="Enter text here (e.g., Sanskrit or Gujarati text)...", label="Input Text")
            convert_btn = gr.Button("Transliterate", variant="primary")

        with gr.Column():
            tgt_dropdown = gr.Dropdown(choices=SCRIPTS, value="Devanagari", label="Target Script")
            # removed show_copy_button because the installed gradio version doesn't accept it
            output_text = gr.Textbox(lines=8, label="Output Text", interactive=False)

    # Trigger the Python backend when the button is clicked
    convert_btn.click(
        fn=convert_script,
        inputs=[src_dropdown, tgt_dropdown, input_text],
        outputs=output_text
    )

# Launch the web server — pass theme here (compatible with older Gradio)
demo.launch(theme=gr.themes.Soft())