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"""Bootstrap.""" | |
# pylint: disable=invalid-name | |
import numpy as np | |
import gradio as gr | |
from model_pool import load_model_s | |
from logzero import logger | |
from gradio_cmat import gradio_cmat | |
model_s = load_model_s() | |
def fn(text1: str, text2: str) -> np.ndarray: | |
"""Define.""" | |
list1 = [elm.strip() for elm in text1.splitlines() if elm.strip()] | |
list2 = [elm.strip() for elm in text2.splitlines() if elm.strip()] | |
try: | |
res = gradio_cmat(list1, list2) | |
except Exception as e: | |
logger.error("gradio_cmat error: %s", e) | |
raise | |
return res | |
# _ = """ | |
try: | |
interface = gr.Interface.load( | |
fn, | |
[ | |
gr.inputs.Textbox( | |
lines=3, default="The quick brown fox jumped over the lazy dogs." | |
), | |
gr.inputs.Textbox(lines=3, default="The fast brown fox jumps over lazy dogs."), | |
], | |
"numpy", | |
description="Gen corralation matrix", | |
) | |
except Exception as e: | |
logger.exception("") | |
logger.error("gr.Interface.load(%s): %s", "fn", e) | |
raise | |
interface.launch() | |