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# from transformers import pipeline
import gradio as gr
from pythainlp.tokenize import subword_tokenize
# model = pipeline(
# "summarization",
# )
def predict(prompt):
# summary = model(prompt)[0]["summary_text"]
summary = subword_tokenize(prompt, engine='tcc')
return summary
# create an interface for the model
with gr.Interface(predict, "textbox", "text") as interface:
interface.launch() |