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import gradio as gr
from transformers import pipeline

# ํ•œ๊ตญ์–ด ์ฑ„ํŒ… ๋ชจ๋ธ ๋ถˆ๋Ÿฌ์˜ค๊ธฐ (์˜ˆ: KoAlpaca, LLaMA, Mistral ๋“ฑ)
chat = pipeline("text-generation", model="beomi/KoAlpaca-Polyglot-5.8B")

# ๋ถ„์„ ํ•จ์ˆ˜ ์ •์˜
def analyze_korean_text(text):
    prompt = f"๋‹ค์Œ ๋ฌธ์žฅ์„ ๋ถ„์„ํ•˜๊ณ  ๋ฌด๋ก€ํ•˜๊ฑฐ๋‚˜ ๊ณผ๊ฒฉํ•œ ํ‘œํ˜„์ด ์žˆ์œผ๋ฉด ์ง€์ ํ•˜๊ณ , ๋” ์นœ์ ˆํ•˜๊ฒŒ ๋ฐ”๊ฟ”์ค˜:\n\n{text}"
    response = chat(prompt, max_new_tokens=200)[0]['generated_text']
    return response

# Gradio ์ธํ„ฐํŽ˜์ด์Šค
iface = gr.Interface(
    fn=analyze_korean_text,
    inputs=gr.Textbox(label="๋ถ„์„ํ•  ๋ฌธ์žฅ ์ž…๋ ฅ"),
    outputs=gr.Textbox(label="๋ถ„์„ ๊ฒฐ๊ณผ"),
    title="๋ฌธ์žฅ ๋ถ„์„๊ธฐ (์นœ์ ˆํ•˜๊ฒŒ ๋ฐ”๊ฟ”์ฃผ๋Š” AI)",
    description="๋ฌธ์žฅ์„ ์ž…๋ ฅํ•˜๋ฉด ๋ฌด๋ก€ํ•œ ํ‘œํ˜„์„ ์ง€์ ํ•˜๊ณ  ๋” ์˜ˆ์˜ ์žˆ๊ฒŒ ๋ฐ”๊ฟ”์ฃผ๋Š” ๋„์šฐ๋ฏธ์ž…๋‹ˆ๋‹ค."
)

# ์‹คํ–‰
iface.launch()