app.py

import gradio as gr
import subprocess, time

subprocess.run(['git', 'clone', 'https://github.com/olpa/camxes-py', 'camxes_py'])
time.sleep(3)

import camxes_py.camxes_py as camxes
#import camxes_py.camxes_py.parsers.camxes_ilmen as camxes_ilmen
from camxes_py.camxes_py.parsers import camxes_ilmen
from camxes_py.camxes_py.transformers import minimal
parser = camxes_ilmen.Parser(None)
minimal_transformer = minimal.Transformer()

def parse(lojban):
    """
    Parse the Lojban text and convert it to a textual parse tree. If the input is invalid, the output will be "[NOT PARSEABLE]".
    
    Args:
        lojban:	string;
        
    Returns:
        Tuple of (structured_lojban) where structured_lojban is the semantic structure
    """
    text, node = camxes.match(lojban, parser, None, minimal_transformer, True)

    if text is None:
        text = '[NOT PARSEABLE]'

    return str(text)

default_input = "coi rodo"

input_textbox = gr.Textbox(
    label="Lojban Text",
    #info="ignores: emojis, emoticons, numbers, URLs",
    lines=3,
    value=default_input,
    autofocus=True
)

parse_tree = gr.Label(
    label="Parse Tree",
    # could not auto select example output
    value="['free', [['COI', 'coi'], ['sumti_5', [['PA', 'ro'], ['KOhA', 'do']]]]]"
)

gradio_app = gr.Interface(
    parse,
    [
        input_textbox,
    ],
    outputs=parse_tree,
    #examples=[
    #    ["coi rodo"],
    #],
    cache_examples=True,
    live=True,
    title="Lojban Parser",
)

gradio_app.launch(show_api=True, show_error=True, mcp_server=True)