newmm_online / app.py
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Update app.py
260c79f
from pythainlp.tokenize import word_tokenize
import gradio as gr
def cut_word(text,separate):
return str(separate).join(word_tokenize(text))
iface = gr.Interface(
fn=cut_word,
inputs=[
gr.Textbox(
label="Text",
info="Thai Text",
lines=3,
#value="The quick brown fox jumped over the lazy dogs.",
),
gr.Textbox(
label="Separate",
info="Word or symbol for word tokenization",
#lines=3,
value="|",
),
],
outputs="textbox")
iface.launch()