app.py

import gradio as gr
from predict import predict

# Map dropdown option → model path
LANGUAGE_MODELS = {
    "Odia": "models/odia-pos-16K.pkl",
    "Punjabi": "models/punjabi-pos.pkl",
    "Dogri": "models/dogri-pos.pkl"
}

def highlight_ssf(text):
    """Add simple HTML highlighting for SSF structure and POS tags."""
    import re

    # Highlight sentence tags <Sentence ...> and brackets
    text = re.sub(r"(&lt;/?Sentence[^&]*&gt;)", r"<span style='color:green; font-style:italic;'>\1</span>", text)
    text = re.sub(r"(\(\(|\)\))", r"<span style='color:green; font-style:italic;'>\1</span>", text)

    # Highlight <fs ...>
    text = re.sub(r"(&lt;fs[^&]*&gt;)", r"<span style='color:darkorange;'>\1</span>", text)

    # Highlight POS tags (3rd column) → blue & bold
    def repl_pos(match):
        return f"{match.group(1)}<span style='color:blue; font-weight:bold;'>{match.group(2)}</span>{match.group(3)}"
    text = re.sub(r"^(\s*\d+\t[^\t]+\t)([^\t]+)(.*)$", repl_pos, text, flags=re.MULTILINE)

    return f"<pre style='font-family:monospace;'>{text}</pre>"


def process_file(language, file_obj, file_type):
    model_path = LANGUAGE_MODELS.get(language)
    if not model_path:
        raise ValueError(f"No model available for {language}")

    input_path = file_obj.name
    output_path = f"result_{language}.txt"

    result_file = predict(input_path, model_path, file_type, output_path)

    with open(result_file, "r", encoding="utf-8") as f:
        preview_raw = f.read(2000)  # first ~2000 chars for preview

    # If SSF, apply highlighting
    if file_type == "ssf":
        preview = highlight_ssf(preview_raw.replace("<", "&lt;").replace(">", "&gt;"))
    else:
        preview = f"<pre>{preview_raw}</pre>"

    return result_file, preview


def main():
     
     with gr.Blocks(css="""
        .download-box {
            background: linear-gradient(90deg, #00c6ff, #0072ff);
            padding: 20px;
            border-radius: 12px;
            text-align: center;
            color: white;
            font-weight: bold;
            font-size: 18px;
            box-shadow: 0px 4px 8px rgba(0,0,0,0.1);
        }
        .download-box .wrap.svelte-1ipelgc {
            justify-content: center !important;
        }
        .block-label {
            color: black !important;
            font-size: 18px !important;
            font-weight: 600 !important;
        }
    """) as demo:
        gr.HTML(
            """
            
                <h1>🌍 Indic POS Tagger</h1>
                <p>Upload text or CoNLL files and get POS-tagged output</p>
           
            """
        )

        with gr.Row():
            with gr.Column(scale=1):
                language = gr.Dropdown(
                    ["Odia", "Punjabi", "Dogri"],
                    label="🌐 Select Language",
                    value="Odia"
                )
                file_in = gr.File(
                    label="📂 Upload Input File",
                    file_types=[".txt", ".conll"]
                )
                file_type = gr.Radio(
                    ["plain", "conll", "ssf"],
                    label="📄 File Type",
                    value="plain"
                )
                submit = gr.Button("🚀 Run POS Tagger", variant="primary")

            with gr.Column(scale=1):
                output_file = gr.File(label="⬇️ Download Tagged File", file_types=[".txt", ".conll", ".ssf"])
                preview_text = gr.HTML(label="👀 Preview (first lines)")
           
        submit.click(process_file, inputs=[language, file_in, file_type],
                     outputs=[output_file, preview_text])
        

        demo.launch()




if __name__ == "__main__":
    main()