app.py

import gradio as gr
import os
import time
from openai import OpenAI
from dotenv import load_dotenv
from prompts import USER_PROMPT, CALL_1_SYSTEM_PROMPT, CALL_2_SYSTEM_PROMPT, CALL_3_SYSTEM_PROMPT
import difflib

load_dotenv()

BASE_URL = "https://api.upstage.ai/v1"
API_KEY = os.getenv("UPSTAGE_API_KEY")

client = OpenAI(api_key=API_KEY, base_url=BASE_URL)


def call_solar_pro2(system, user, temperature=0.0, model_name="solar-pro2"):
    response = client.chat.completions.create(
        model=model_name,
        messages=[
            {"role": "system", "content": system},
            {"role": "user", "content": user}
        ],
        stream=False,
        temperature=temperature,
        reasoning_effort="high"
    )
    return response.choices[0].message.content


def call_proofread(paragraph):
    prompt = "입력된 문서에 대한 교열 결과를 생성해 주세요."
    response = client.chat.completions.create(
        model="ft:solar-news-correction",
        messages=[
            {"role": "system", "content": prompt},
            {"role": "user", "content": paragraph}
        ],
        stream=False,
        temperature=0.0
    )
    return response.choices[0].message.content


def highlight_diff(original, corrected):
    matcher = difflib.SequenceMatcher(None, original, corrected)
    result_html = []
    for tag, i1, i2, j1, j2 in matcher.get_opcodes():
        if tag == 'equal':
            result_html.append(f'<span>{original[i1:i2]}</span>')
        elif tag == 'replace':
            result_html.append(f'<span style="background:#ffecec;text-decoration:line-through;">{original[i1:i2]}</span>')
            result_html.append(f'<span style="background:#e6ffec;">{corrected[j1:j2]}</span>')
        elif tag == 'delete':
            result_html.append(f'<span style="background:#ffecec;text-decoration:line-through;">{original[i1:i2]}</span>')
        elif tag == 'insert':
            result_html.append(f'<span style="background:#e6ffec;">{corrected[j1:j2]}</span>')
    return ''.join(result_html)


def process(paragraph):
    start = time.time()
    proofread_result = call_proofread(paragraph)
    user_step1 = USER_PROMPT.format(original=paragraph, proofread=proofread_result)
    step1 = call_solar_pro2(CALL_1_SYSTEM_PROMPT, user_step1)
    step2 = call_solar_pro2(CALL_2_SYSTEM_PROMPT, step1)
    step3 = call_solar_pro2(CALL_3_SYSTEM_PROMPT, step2)
    elapsed = time.time() - start
    return step3, highlight_diff(paragraph, step3)


def demo_fn(input_text):
    paragraphs = [p.strip() for p in input_text.split('\n') if p.strip()]
    corrected_all = []
    highlighted_all = []
    for para in paragraphs:
        corrected, highlighted = process(para)
        corrected_all.append(corrected)
        highlighted_all.append(highlighted)
    return '\n\n'.join(corrected_all), '<br><br>'.join(highlighted_all)


with gr.Blocks() as demo:
    gr.Markdown("# 교열 모델 데모")
    input_text = gr.Textbox(label="원문 입력", lines=10, placeholder="문단 단위로 입력해 주세요.")
    btn = gr.Button("교열하기")
    output_corrected = gr.Textbox(label="교열 결과", lines=10)
    output_highlight = gr.HTML(label="수정된 부분 강조")

    btn.click(fn=demo_fn, inputs=input_text, outputs=[output_corrected, output_highlight])

if __name__ == '__main__':
    demo.launch()