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import gradio as gr
from transformers import pipeline
theme = "darkgrass"
title = "GPT-NeoX(Korean) Demo"
model_name = "EleutherAI/gpt-neox-ko-1.3b"
description = "GPT-NeoX νκ΅μ΄ λͺ¨λΈμ μμ°νλ λ°λͺ¨νμ΄μ§ μ
λλ€."
# article = "<p style='text-align: center'><a href='https://github.com/kingoflolz/mesh-transformer-jax' target='_blank'>GPT-J-6B: A 6 Billion Parameter Autoregressive Language Model</a></p>"
examples = [
["μΈκ°μ²λΌ μκ°νκ³ , νλνλ 'μ§λ₯'μ ν΅ν΄"],
["λνλ―Όκ΅μ 2040λ
μ λ§μ "],
["2040λ
λ―Έκ΅μ, "]
]
generator = pipeline('text-generation', model=model_name, use_auth_token=os.environ['TOKEN'])
gr.Interface.from_pipeline(generator).launch()
# print(generated) # print: μΈκ°μ²λΌ μκ°νκ³ , νλνλ 'μ§λ₯'μ ν΅ν΄ μΈλ₯κ° μ΄μ κΉμ§ νμ§ λͺ»νλ λ¬Έμ μ ν΄λ΅μ μ°Ύμ μ μμ κ²μ΄λ€. κ³ΌνκΈ°μ μ΄ κ³ λλ‘ λ°λ¬ν 21μΈκΈ°λ₯Ό μ΄μκ° μ°λ¦¬ μμ΄λ€μκ² κ°μ₯ νμν κ²μ μ¬κ³ λ ₯ νλ ¨μ΄λ€. μ¬κ³ λ ₯ νλ ¨μ ν΅ν΄, μΈμ
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