app.py

import os
import openai
import gradio as gr
from dotenv import load_dotenv

# 환경 변수 로드
load_dotenv()

# OpenAI API 키를 환경 변수에서 가져오기
openai.api_key = os.getenv("OPENAI_API_KEY")

def translate_to_korean(english_text):
    """
    입력된 영어 텍스트를 한국어로 번역하는 함수
    """
    system_message = (
        "You are an assistant that translates English text to Korean. "
        "Ensure that the translation adheres to the following guidelines:\n\n"
        "1. Prioritize natural and fluent Korean over literal translations.\n"
        "2. Maintain grammatical accuracy:\n"
        "   - Prefer active voice over passive voice.\n"
        "   - Minimize the use of pronouns.\n"
        "   - Prefer verbs and adjectives over nominalizations.\n"
        "   - Use simple present or present perfect tense instead of present continuous.\n"
        "   - Maintain Subject-Object-Verb order.\n"
        "   - Avoid using expressions like \"~었어요\".\n"
        "3. Ensure a natural flow that matches the context of the subject.\n"
        "4. Choose vocabulary that is appropriate for the topic and situation.\n"
        "5. Reflect emotional nuances to create empathetic expressions.\n"
        "6. Maintain a balance between literal and free translation.\n"
        "7. Avoid repeating topic keywords.\n"
        "8. Ensure the translation does not appear to be written by AI.\n"
    )
    
    try:
        response = openai.ChatCompletion.create(
            model="gpt-4o-mini",  # 모델 ID
            messages=[
                {"role": "system", "content": system_message},
                {"role": "user", "content": english_text},
            ],
            max_tokens=1000,      # 필요한 경우 조정
            temperature=0.3,      # 창의성 조절
            top_p=1.0,            # 확률 분포 조절
        )
        korean_text = response.choices[0].message['content'].strip()
        return korean_text
    except Exception as e:
        return f"오류가 발생했습니다: {str(e)}"

# Gradio 인터페이스 구성
with gr.Blocks() as iface:
    gr.Markdown("# 영어-한국어 번역기")
    gr.Markdown("GPT-4o-mini 모델을 사용하여 영어 텍스트를 한국어로 번역합니다. 번역 시 자연스럽고 매끄러운 한국어로 제공됩니다.")
    
    with gr.Row():
        with gr.Column():
            english_input = gr.Textbox(
                lines=10, 
                placeholder="번역할 영어 텍스트를 입력하세요...",
                label="영어 텍스트"
            )
        with gr.Column():
            korean_output = gr.Textbox(
                lines=10, 
                label="한국어 번역"
            )
    
    translate_button = gr.Button("번역하기")
    
    translate_button.click(
        fn=translate_to_korean, 
        inputs=english_input, 
        outputs=korean_output
    )
    
    gr.Examples(
        examples=[
            "Hello, how are you?",
            "This is a test sentence for translation.",
            "OpenAI provides powerful language models."
        ],
        inputs=english_input,
        outputs=korean_output
    )

if __name__ == "__main__":
    iface.launch()