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import gradio as gr
from transformers import pipeline

def generate_diary(keywords):
    # InstructGPT ๋ชจ๋ธ ํ™œ์šฉ
    generator = pipeline('text-generation', model='anthropic/InstructGPT')
    prompt = f"์˜ค๋Š˜์˜ ์ผ๊ธฐ:\n\n{', '.join(keywords.split(','))}์— ๋Œ€ํ•œ ์ผ๊ธฐ๋ฅผ ์จ๋ด…์‹œ๋‹ค."
    output = generator(prompt, max_length=500, num_return_sequences=1, do_sample=True, top_k=50, top_p=0.95, num_beams=5, no_repeat_ngram_size=2)[0]['generated_text']
    return output

def app():
    with gr.Blocks() as demo:
        gr.Markdown("# ์ž๋™ ์ผ๊ธฐ ์ƒ์„ฑ๊ธฐ")
        
        with gr.Row():
            keywords = gr.Textbox(label="5๊ฐœ์˜ ํ‚ค์›Œ๋“œ๋ฅผ ์ž…๋ ฅํ•˜์„ธ์š” (์‰ผํ‘œ๋กœ ๊ตฌ๋ถ„)")
            generate_btn = gr.Button("์ผ๊ธฐ ์“ฐ๊ธฐ")
        
        diary = gr.Textbox(label="์ƒ์„ฑ๋œ ์ผ๊ธฐ")
        
        generate_btn.click(generate_diary, inputs=keywords, outputs=diary)

    demo.launch()

if __name__ == "__main__":
    app()