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import gradio as gr
from transformers import pipeline
def generate_diary(keywords):
# InstructGPT ๋ชจ๋ธ ํ์ฉ
generator = pipeline('text-generation', model='anthropic/InstructGPT')
prompt = f"์ค๋์ ์ผ๊ธฐ:\n\n{', '.join(keywords.split(','))}์ ๋ํ ์ผ๊ธฐ๋ฅผ ์จ๋ด
์๋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("# ์๋ ์ผ๊ธฐ ์์ฑ๊ธฐ")
with gr.Row():
keywords = gr.Textbox(label="5๊ฐ์ ํค์๋๋ฅผ ์
๋ ฅํ์ธ์ (์ผํ๋ก ๊ตฌ๋ถ)")
generate_btn = gr.Button("์ผ๊ธฐ ์ฐ๊ธฐ")
diary = gr.Textbox(label="์์ฑ๋ ์ผ๊ธฐ")
generate_btn.click(generate_diary, inputs=keywords, outputs=diary)
demo.launch()
if __name__ == "__main__":
app() |