Create app.py
Browse files
app.py
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# ํฉ์ณ์ง ์
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import os
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from dotenv import load_dotenv
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from openai import OpenAI
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import requests
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import gradio as gr
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load_dotenv()
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aaa = os.getenv("URL")
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if not aaa:
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raise ValueError("ํ๊ฒฝ ๋ณ์๊ฐ ์ค์ ๋์ง ์์์ต๋๋ค.")
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# OpenAI API ํค ์ค์ (ํ์ํ๋ค๋ฉด ์ฌ๊ธฐ์ ์ค์ )
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# os.environ["OPENAI_API_KEY"] = "YOUR_OPENAI_API_KEY" # ์ด๋ฏธ ์ค์ ๋์ด ์๋ค๋ฉด ์ด ์ค์ ํ์ ์์ต๋๋ค.
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client = OpenAI()
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def get_and_summarize_data():
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"""
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๋ฐ์ดํฐ๋ฅผ ๊ฐ์ ธ์ OpenAI๋ฅผ ์ฌ์ฉํ์ฌ ์์ฝํ๋ ํจ์
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"""
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url = aaa
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response = requests.get(url)
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data_text = response.text
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prompt = f"""
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๋ค์ ๋ด์ฉ์ ์์ฝํ๊ณ ๋ณด๊ธฐ ์ข๋๋ก ์ค ๋ฐ๊ฟ์ ์ ์ฉํ์ฌ ์ถ๋ ฅํด์ค ๋ด์ฉ:
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{data_text}
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"""
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openai_response = client.responses.create(
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model="gpt-4.1-nano", # gpt-4.1-nano ๋ชจ๋ธ์ด ์ ํจํ ๋ชจ๋ธ์ธ์ง ํ์ธ ํ์
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input=prompt
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)
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return openai_response.output_text
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# Gradio ์ธํฐํ์ด์ค ์ค์
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def gradio_interface():
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summarized_data = get_and_summarize_data()
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return summarized_data
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demo = gr.Interface(
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fn=gradio_interface,
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inputs=[], # ์
๋ ฅ์ ๋ฐ์ง ์๊ณ ํจ์ ์คํ
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outputs=["text"], # ์์ฝ๋ ํ
์คํธ ์ถ๋ ฅ
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title="๋ฐ์ดํฐ ์์ฝ ๊ฒฐ๊ณผ"
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)
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# Gradio ์ธํฐํ์ด์ค ์คํ
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demo.launch()
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