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"""
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Square Theory Brand Generator
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=============================
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2025-05-28 | Square Theory๋ฅผ ํ์ฉํ ๋ธ๋๋ ๋ค์ด๋ฐ & ์ฌ๋ก๊ฑด ์์ฑ๊ธฐ
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----------------------------------------------------------
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Square Theory๋ฅผ ๋ธ๋๋ฉ์ ์ ์ฉ: ๋ธ๋๋๋ช
์ด Square๋ฅผ ์์ฑํ๋ ๊ตฌ์กฐ
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์: GRUBHUB = GRUB(์์) + HUB(์ค์ฌ) โ ์์ ๋ฐฐ๋ฌ์ ์ค์ฌ
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"""
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import os
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import json
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import gradio as gr
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import openai
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from openai import OpenAI
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from datetime import datetime
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from typing import List, Dict, Tuple, Optional
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# OpenAI ํด๋ผ์ด์ธํธ
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if not os.getenv("OPENAI_API_KEY"):
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raise EnvironmentError("OPENAI_API_KEY ํ๊ฒฝ ๋ณ์๋ฅผ ์ค์ ํ์ธ์.")
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client = OpenAI()
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# Square Theory ๋ธ๋๋ฉ ์ ์ฉ ํ๋กฌํํธ
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BRANDING_SQUARE_PROMPT = """
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๋น์ ์ Square Theory๋ฅผ ํ์ฉํ ๋ธ๋๋ ๋ค์ด๋ฐ ์ ๋ฌธ๊ฐ์
๋๋ค.
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Square Theory๋ 4๊ฐ์ ๋จ์ด๊ฐ ์๋ฏธ์ ๊ด๊ณ๋ก ์ฐ๊ฒฐ๋์ด ์ฌ๊ฐํ์ ์ด๋ฃจ๋ ๊ตฌ์กฐ์
๋๋ค.
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์ด๋ฅผ ๋ธ๋๋ฉ์ ์ ์ฉํ๋ฉด, ๋ธ๋๋๋ช
์ด Square๋ฅผ ์์ฑํ๋ฉฐ "์ํ!" ๋ชจ๋จผํธ๋ฅผ ๋ง๋ญ๋๋ค.
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์ฑ๊ณต์ ์ธ ๋ธ๋๋ Square ์์:
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1. GRUBHUB: GRUB(์์) + HUB(์ค์ฌ) = ์์ ๋ฐฐ๋ฌ์ ์ค์ฌ์ง
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2. Brand New (๋ฆฌ๋ธ๋๋ฉ ๋ธ๋ก๊ทธ): BRAND + NEW = ์๋ก์ด ๋ธ๋๋ = ์
๋ฐ์ดํธ๋ ๋ธ๋๋
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3. Crosscord: CROSSWORD + DISCORD = ํฌ๋ก์ค์๋ ์ปค๋ฎค๋ํฐ ์๋ฒ
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๋ธ๋๋ Square ์์ฑ ์์น:
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1. ๋ธ๋๋๋ช
์ ๋ ๋จ์ด์ ์กฐํฉ (ํฉ์ฑ์ด, ํฌํธ๋งจํ , ๋๋ ๊ตฌ๋ฌธ)
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2. ๊ฐ ๋จ์ด๋ ๋น์ฆ๋์ค์ ํต์ฌ ์์ฑ๊ณผ ์ฐ๊ฒฐ
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3. ์ ์ฒด Square๊ฐ ๋ธ๋๋์ ์ ์ฒด์ฑ์ ๊ฐํ
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4. ์ฌ๋ก๊ฑด์ Square์ ์๋ฏธ๋ฅผ ํ์ฅ
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์ฌ์ฉ์ ์
๋ ฅ(์
์ข
/ํค์๋)์ ๋ฐ์ ๋ค์ ํ์์ JSON ๋ฐฐ์ด์ ์์ฑํ์ธ์:
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{
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"brand_name": "๋ธ๋๋๋ช
",
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"brand_type": "compound/portmanteau/phrase",
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"tl": "์ผ์ชฝ์๋จ ๋จ์ด",
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"tr": "์ค๋ฅธ์ชฝ์๋จ ๋จ์ด",
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"bl": "์ผ์ชฝํ๋จ ๋จ์ด",
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"br": "์ค๋ฅธ์ชฝํ๋จ ๋จ์ด",
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"top_edge": "์๋จ ๊ด๊ณ",
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"bottom_edge": "ํ๋จ ๊ด๊ณ",
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"left_edge": "์ผ์ชฝ ๊ด๊ณ",
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"right_edge": "์ค๋ฅธ์ชฝ ๊ด๊ณ",
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"slogan": "๋ธ๋๋ ์ฌ๋ก๊ฑด",
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"tagline": "์งง์ ํ๊ทธ๋ผ์ธ",
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"business_description": "๋น์ฆ๋์ค ์ค๋ช
",
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"why_it_works": "์ ์ด Square๊ฐ ํจ๊ณผ์ ์ธ์ง",
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"target_audience": "ํ๊ฒ ๊ณ ๊ฐ",
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"brand_personality": "๋ธ๋๋ ๊ฐ์ฑ",
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"impact_score": 1-10
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}
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์ฐฝ์์ ์ด๋ฉด์๋ ๊ธฐ์ตํ๊ธฐ ์ฝ๊ณ , ๋น์ฆ๋์ค ๋ณธ์ง์ ๋ด์ ๋ธ๋๋๋ฅผ ๋ง๋์ธ์.
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"""
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# ์
์ข
๋ณ ์์
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INDUSTRY_EXAMPLES = [
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"์นดํ/์ปคํผ์",
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"ํผํธ๋์ค/ํฌ์ค์ฅ",
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"๊ต์ก/์๋ํ
ํฌ",
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"๋ทฐํฐ/ํ์ฅํ",
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"์์ ๋ฐฐ๋ฌ",
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"์ฌํ/๊ด๊ด",
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"๊ธ์ต/ํํ
ํฌ",
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"ํจ์
/์๋ฅ",
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"๋ฐ๋ ค๋๋ฌผ",
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"์นํ๊ฒฝ/์ง์๊ฐ๋ฅ"
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]
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def generate_brand_squares(industry: str, keywords: str, count: int = 5) -> List[Dict]:
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"""Square Theory ๊ธฐ๋ฐ ๋ธ๋๋ ์์ฑ"""
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user_prompt = f"""
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์
์ข
: {industry}
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ํค์๋: {keywords}
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์ ์ ๋ณด๋ฅผ ๋ฐํ์ผ๋ก Square Theory๋ฅผ ํ์ฉํ ๋ธ๋๋ {count}๊ฐ๋ฅผ ์์ฑํ์ธ์.
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๊ฐ ๋ธ๋๋๋ ์์ ํ Square๋ฅผ ํ์ฑํด์ผ ํ๋ฉฐ, ๋ธ๋๋๋ช
์ด Square์ ํต์ฌ์ด ๋์ด์ผ ํฉ๋๋ค.
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"""
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try:
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response = client.chat.completions.create(
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model="gpt-4o",
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messages=[
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{"role": "system", "content": BRANDING_SQUARE_PROMPT},
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{"role": "user", "content": user_prompt}
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],
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temperature=0.85,
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max_tokens=4000,
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response_format={"type": "json_object"}
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)
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content = response.choices[0].message.content
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data = json.loads(content)
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# ์๋ต ์ ๊ทํ
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if isinstance(data, dict):
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if "brands" in data:
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results = data["brands"]
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elif "results" in data:
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results = data["results"]
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else:
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results = [data]
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else:
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results = data
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# ์ ์์ ์ ๋ ฌ
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results.sort(key=lambda x: x.get("impact_score", 0), reverse=True)
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return results[:count]
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except Exception as e:
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raise RuntimeError(f"๋ธ๋๋ ์์ฑ ์คํจ: {e}")
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def visualize_brand_square(brand: Dict) -> str:
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"""๋ธ๋๋ Square ์๊ฐํ"""
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brand_name = brand.get('brand_name', 'BRAND')
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tl, tr = brand.get('tl', '?'), brand.get('tr', '?')
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bl, br = brand.get('bl', '?'), brand.get('br', '?')
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# ๋ธ๋๋๋ช
๋ถํด (compound/portmanteau์ธ ๊ฒฝ์ฐ)
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if brand.get('brand_type') == 'compound':
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parts = brand_name.split()
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brand_part1 = parts[0] if len(parts) > 0 else brand_name[:len(brand_name)//2]
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brand_part2 = parts[1] if len(parts) > 1 else brand_name[len(brand_name)//2:]
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else:
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# ํฌํธ๋งจํ ์ ๊ฒฝ์ฐ ๋๋ต์ ์ผ๋ก ๋ถํ
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mid = len(brand_name) // 2
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brand_part1 = brand_name[:mid+1]
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brand_part2 = brand_name[mid-1:]
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return f"""
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<div style="max-width: 700px; margin: 20px auto; font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;">
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<!-- ๋ธ๋๋๋ช
ํค๋ -->
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<div style="text-align: center; margin-bottom: 30px;">
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<h2 style="font-size: 2.5em; margin: 0; color: #2c3e50; letter-spacing: -1px;">{brand_name}</h2>
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<p style="font-size: 1.2em; color: #7f8c8d; margin: 10px 0; font-style: italic;">"{brand.get('slogan', '')}"</p>
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<p style="font-size: 0.9em; color: #95a5a6; margin: 5px 0;">{brand.get('tagline', '')}</p>
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</div>
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<!-- Square ๋ค์ด์ด๊ทธ๋จ -->
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<div style="position: relative; width: 100%; height: 350px; background: linear-gradient(135deg, #f5f7fa 0%, #c3cfe2 100%); border-radius: 12px; padding: 30px; box-shadow: 0 10px 30px rgba(0,0,0,0.1);">
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<!-- ์ค์ ๋ธ๋๋๋ช
-->
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<div style="position: absolute; top: 50%; left: 50%; transform: translate(-50%, -50%); background: white; padding: 20px 40px; border-radius: 12px; box-shadow: 0 5px 20px rgba(0,0,0,0.15); z-index: 10;">
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<div style="font-size: 1.8em; font-weight: bold; color: #2c3e50; text-align: center;">{brand_name}</div>
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<div style="font-size: 0.9em; color: #7f8c8d; text-align: center; margin-top: 5px;">{brand.get('brand_type', 'compound')}</div>
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</div>
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<!-- ๊ผญ์ง์ -->
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<div style="position: absolute; top: 30px; left: 30px; background: #3498db; color: white; padding: 12px 20px; border-radius: 8px; font-weight: 600; box-shadow: 0 3px 10px rgba(52, 152, 219, 0.3);">
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{tl}
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</div>
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<div style="position: absolute; top: 30px; right: 30px; background: #e74c3c; color: white; padding: 12px 20px; border-radius: 8px; font-weight: 600; box-shadow: 0 3px 10px rgba(231, 76, 60, 0.3);">
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{tr}
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</div>
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<div style="position: absolute; bottom: 30px; left: 30px; background: #f39c12; color: white; padding: 12px 20px; border-radius: 8px; font-weight: 600; box-shadow: 0 3px 10px rgba(243, 156, 18, 0.3);">
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{bl}
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</div>
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<div style="position: absolute; bottom: 30px; right: 30px; background: #27ae60; color: white; padding: 12px 20px; border-radius: 8px; font-weight: 600; box-shadow: 0 3px 10px rgba(39, 174, 96, 0.3);">
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{br}
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</div>
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<!-- ๊ด๊ณ ๋ ์ด๋ธ -->
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<div style="position: absolute; top: 45px; left: 50%; transform: translateX(-50%); background: rgba(44, 62, 80, 0.9); color: white; padding: 4px 12px; border-radius: 4px; font-size: 0.8em;">
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{brand.get('top_edge', '๊ด๊ณ')}
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</div>
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<div style="position: absolute; bottom: 45px; left: 50%; transform: translateX(-50%); background: rgba(44, 62, 80, 0.9); color: white; padding: 4px 12px; border-radius: 4px; font-size: 0.8em;">
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{brand.get('bottom_edge', '๊ด๊ณ')}
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</div>
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<div style="position: absolute; top: 50%; left: 45px; transform: translateY(-50%) rotate(-90deg); background: rgba(44, 62, 80, 0.9); color: white; padding: 4px 12px; border-radius: 4px; font-size: 0.8em;">
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{brand.get('left_edge', '๊ด๊ณ')}
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</div>
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<div style="position: absolute; top: 50%; right: 45px; transform: translateY(-50%) rotate(90deg); background: rgba(44, 62, 80, 0.9); color: white; padding: 4px 12px; border-radius: 4px; font-size: 0.8em;">
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{brand.get('right_edge', '๊ด๊ณ')}
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</div>
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<!-- ์ฐ๊ฒฐ์ -->
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<svg style="position: absolute; top: 0; left: 0; width: 100%; height: 100%; pointer-events: none;">
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<defs>
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<linearGradient id="grad1" x1="0%" y1="0%" x2="100%" y2="0%">
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<stop offset="0%" style="stop-color:#3498db;stop-opacity:0.5" />
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<stop offset="100%" style="stop-color:#e74c3c;stop-opacity:0.5" />
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</linearGradient>
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<linearGradient id="grad2" x1="0%" y1="0%" x2="100%" y2="0%">
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<stop offset="0%" style="stop-color:#f39c12;stop-opacity:0.5" />
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<stop offset="100%" style="stop-color:#27ae60;stop-opacity:0.5" />
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</linearGradient>
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</defs>
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<!-- ์๋จ -->
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<line x1="100" y1="45" x2="600" y2="45" stroke="url(#grad1)" stroke-width="3"/>
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<!-- ํ๋จ -->
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<line x1="100" y1="305" x2="600" y2="305" stroke="url(#grad2)" stroke-width="3"/>
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<!-- ์ผ์ชฝ -->
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<line x1="50" y1="80" x2="50" y2="270" stroke="#7f8c8d" stroke-width="3" opacity="0.5"/>
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<!-- ์ค๋ฅธ์ชฝ -->
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<line x1="650" y1="80" x2="650" y2="270" stroke="#7f8c8d" stroke-width="3" opacity="0.5"/>
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</svg>
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</div>
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<!-- ๋ธ๋๋ ์ ๋ณด -->
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<div style="margin-top: 30px; display: grid; grid-template-columns: 1fr 1fr; gap: 20px;">
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<div style="background: white; padding: 20px; border-radius: 8px; box-shadow: 0 2px 10px rgba(0,0,0,0.05);">
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<h4 style="margin: 0 0 10px 0; color: #2c3e50;">๐ฏ ๏ฟฝ๏ฟฝ๏ฟฝ๊ฒ ๊ณ ๊ฐ</h4>
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<p style="margin: 0; color: #7f8c8d;">{brand.get('target_audience', 'N/A')}</p>
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</div>
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<div style="background: white; padding: 20px; border-radius: 8px; box-shadow: 0 2px 10px rgba(0,0,0,0.05);">
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<h4 style="margin: 0 0 10px 0; color: #2c3e50;">โจ ๋ธ๋๋ ๊ฐ์ฑ</h4>
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<p style="margin: 0; color: #7f8c8d;">{brand.get('brand_personality', 'N/A')}</p>
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</div>
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</div>
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<div style="margin-top: 20px; background: #ecf0f1; padding: 20px; border-radius: 8px;">
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<h4 style="margin: 0 0 10px 0; color: #2c3e50;">๐ก ์ ํจ๊ณผ์ ์ธ๊ฐ?</h4>
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<p style="margin: 0; color: #34495e;">{brand.get('why_it_works', '')}</p>
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</div>
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</div>
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"""
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def generate_brands(industry: str, keywords: str, count: int) -> Tuple[str, str, List[Dict]]:
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"""๋ธ๋๋ ์์ฑ ๋ฐ ํ์"""
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if not industry or not keywords:
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return "โ ๏ธ ์
์ข
๊ณผ ํค์๋๋ฅผ ๋ชจ๋ ์
๋ ฅํด์ฃผ์ธ์.", "", []
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try:
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brands = generate_brand_squares(industry, keywords, count)
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# ๋งํฌ๋ค์ด ๊ฒฐ๊ณผ
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markdown_parts = [
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f"# ๐ข Square Theory ๋ธ๋๋ ์ ์",
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f"**์
์ข
**: {industry} | **ํค์๋**: {keywords}",
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246 |
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f"*์์ฑ ์๊ฐ: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}*\n"
|
247 |
-
]
|
248 |
-
|
249 |
-
# HTML ์๊ฐํ
|
250 |
-
html_parts = []
|
251 |
-
|
252 |
-
for idx, brand in enumerate(brands, 1):
|
253 |
-
score = brand.get('impact_score', 0)
|
254 |
-
|
255 |
-
markdown_parts.append(f"""
|
256 |
-
## {idx}. {brand.get('brand_name', 'N/A')} {'โญ' * min(score, 5)}
|
257 |
-
|
258 |
-
**์ฌ๋ก๊ฑด**: *"{brand.get('slogan', 'N/A')}"*
|
259 |
-
**ํ๊ทธ๋ผ์ธ**: {brand.get('tagline', 'N/A')}
|
260 |
-
|
261 |
-
### ๐ Square ๊ตฌ์กฐ
|
262 |
-
```
|
263 |
-
[{brand.get('tl', '?')}] โ({brand.get('top_edge', '?')})โ [{brand.get('tr', '?')}]
|
264 |
-
โ โ
|
265 |
-
({brand.get('left_edge', '?')}) ({brand.get('right_edge', '?')})
|
266 |
-
โ โ
|
267 |
-
[{brand.get('bl', '?')}] โ({brand.get('bottom_edge', '?')})โ [{brand.get('br', '?')}]
|
268 |
-
```
|
269 |
-
|
270 |
-
**๋น์ฆ๋์ค**: {brand.get('business_description', 'N/A')}
|
271 |
-
**ํ๊ฒ**: {brand.get('target_audience', 'N/A')}
|
272 |
-
**๊ฐ์ฑ**: {brand.get('brand_personality', 'N/A')}
|
273 |
-
|
274 |
-
๐ก **ํจ๊ณผ**: {brand.get('why_it_works', 'N/A')}
|
275 |
-
|
276 |
-
---
|
277 |
-
""")
|
278 |
-
|
279 |
-
# ๋ชจ๋ ๋ธ๋๋ ์๊ฐํ
|
280 |
-
html_parts.append(f"<h3 style='text-align: center; color: #7f8c8d; margin: 40px 0 20px 0;'>#{idx}</h3>")
|
281 |
-
html_parts.append(visualize_brand_square(brand))
|
282 |
-
|
283 |
-
return "\n".join(markdown_parts), "\n".join(html_parts), brands
|
284 |
-
|
285 |
-
except Exception as e:
|
286 |
-
return f"โ ์ค๋ฅ: {str(e)}", "", []
|
287 |
-
|
288 |
-
def export_brands(brands: List[Dict]) -> str:
|
289 |
-
"""๋ธ๋๋ ์ ๋ณด JSON ๋ด๋ณด๋ด๊ธฐ"""
|
290 |
-
if not brands:
|
291 |
-
return None
|
292 |
-
|
293 |
-
export_data = {
|
294 |
-
"generated_at": datetime.now().isoformat(),
|
295 |
-
"total_brands": len(brands),
|
296 |
-
"brands": brands
|
297 |
-
}
|
298 |
-
|
299 |
-
return json.dumps(export_data, ensure_ascii=False, indent=2)
|
300 |
-
|
301 |
-
# Gradio UI
|
302 |
-
with gr.Blocks(title="Square Theory Brand Generator", theme=gr.themes.Soft()) as demo:
|
303 |
-
gr.Markdown("""
|
304 |
-
# ๐ข Square Theory Brand Generator
|
305 |
-
### ์๋ฏธ์ Square๋ฅผ ์์ฑํ๋ ๋ธ๋๋ ๋ค์ด๋ฐ & ์ฌ๋ก๊ฑด ์์ฑ๊ธฐ
|
306 |
-
|
307 |
-
Square Theory๋ฅผ ํ์ฉํด ๋ธ๋๋๋ช
์ด ์๋ฏธ์ ์ฌ๊ฐํ์ ์์ฑํ๋ ๊ฐ๋ ฅํ ๋ธ๋๋๋ฅผ ๋ง๋ค์ด๋ณด์ธ์.
|
308 |
-
์ข์ ๋ธ๋๋๋ช
์ ๋จ์ํ ์ด๋ฆ์ด ์๋, ๋น์ฆ๋์ค์ ๋ณธ์ง์ ๋ด์ Square๋ฅผ ํ์ฑํฉ๋๋ค.
|
309 |
-
|
310 |
-
**์ฑ๊ณต ์ฌ๋ก**: GRUBHUB (GRUB+HUB), Brand New, Crosscord
|
311 |
-
""")
|
312 |
-
|
313 |
-
with gr.Row():
|
314 |
-
with gr.Column(scale=2):
|
315 |
-
industry_input = gr.Dropdown(
|
316 |
-
choices=INDUSTRY_EXAMPLES,
|
317 |
-
label="๐ญ ์
์ข
",
|
318 |
-
allow_custom_value=True,
|
319 |
-
value="์นดํ/์ปคํผ์"
|
320 |
-
)
|
321 |
-
|
322 |
-
keywords_input = gr.Textbox(
|
323 |
-
label="๐ ํต์ฌ ํค์๋",
|
324 |
-
placeholder="ํ๋ฆฌ๋ฏธ์, ํธ์ํ, ๋์์ ์ธ, ์นํ๊ฒฝ...",
|
325 |
-
info="๋ธ๋๋๊ฐ ๋ด์์ผ ํ ํต์ฌ ๊ฐ์น๋ ํน์ง๋ค"
|
326 |
-
)
|
327 |
-
|
328 |
-
count_slider = gr.Slider(
|
329 |
-
minimum=3,
|
330 |
-
maximum=10,
|
331 |
-
value=5,
|
332 |
-
step=1,
|
333 |
-
label="์์ฑ ๊ฐ์"
|
334 |
-
)
|
335 |
-
|
336 |
-
generate_btn = gr.Button("๐ ๋ธ๋๋ Square ์์ฑ", variant="primary", size="lg")
|
337 |
-
|
338 |
-
with gr.Column(scale=1):
|
339 |
-
gr.Markdown("""
|
340 |
-
### ๐ก Square Theory ๋ธ๋๋ฉ
|
341 |
-
|
342 |
-
**์ข์ ๋ธ๋๋ Square์ ์กฐ๊ฑด:**
|
343 |
-
1. ๋ธ๋๋๋ช
์ ๊ฐ ๋ถ๋ถ์ด ์๋ฏธ๋ฅผ ๊ฐ์ง
|
344 |
-
2. ๋น์ฆ๋์ค ๋ณธ์ง๊ณผ ์ฐ๊ฒฐ
|
345 |
-
3. ๊ธฐ์ตํ๊ธฐ ์ฝ๊ณ ๋ฐ์ ๊ฐ๋ฅ
|
346 |
-
4. Square๊ฐ "์ํ!" ๋ชจ๋จผํธ ์์ฑ
|
347 |
-
|
348 |
-
**Square ๊ตฌ๏ฟฝ๏ฟฝ ์์:**
|
349 |
-
```
|
350 |
-
GRUB โ(์์)โ FOOD
|
351 |
-
โ โ
|
352 |
-
(์ค์ฌ) (๋ฐฐ๋ฌ)
|
353 |
-
โ โ
|
354 |
-
HUB โ(์๋น์ค)โ DELIVERY
|
355 |
-
```
|
356 |
-
""")
|
357 |
-
|
358 |
-
# ์ ์ญ ๋ณ์
|
359 |
-
current_brands = gr.State([])
|
360 |
-
|
361 |
-
with gr.Tabs():
|
362 |
-
with gr.Tab("๐ ๊ฒฐ๊ณผ ๋ฆฌ์คํธ"):
|
363 |
-
output_markdown = gr.Markdown()
|
364 |
-
|
365 |
-
with gr.Tab("๐จ ๋ธ๋๋ ์๊ฐํ"):
|
366 |
-
output_visual = gr.HTML()
|
367 |
-
|
368 |
-
with gr.Tab("๐พ ๋ด๋ณด๋ด๊ธฐ"):
|
369 |
-
export_btn = gr.Button("JSON ํ์ผ ์์ฑ")
|
370 |
-
download_file = gr.File(label="๋ค์ด๋ก๋", visible=False)
|
371 |
-
|
372 |
-
# ์์
|
373 |
-
gr.Examples(
|
374 |
-
examples=[
|
375 |
-
["์นดํ/์ปคํผ์", "ํ๋ฆฌ๋ฏธ์, ์๋ํ, ๋์"],
|
376 |
-
["ํผํธ๋์ค/ํฌ์ค์ฅ", "๊ฐ๋ ฅํ, ์ปค๋ฎค๋ํฐ, ๋ณํ"],
|
377 |
-
["๊ต์ก/์๋ํ
ํฌ", "์ค๋งํธ, ์ฌ๋ฏธ์๋, ์ฑ์ฅ"],
|
378 |
-
["์์ ๋ฐฐ๋ฌ", "๋น ๋ฅธ, ์ ์ ํ, ๋ค์ํ"],
|
379 |
-
["์นํ๊ฒฝ/์ง์๊ฐ๋ฅ", "์์ฐ, ๋ฏธ๋, ์ํ"]
|
380 |
-
],
|
381 |
-
inputs=[industry_input, keywords_input]
|
382 |
-
)
|
383 |
-
|
384 |
-
# ์ด๋ฒคํธ ์ฐ๊ฒฐ
|
385 |
-
def generate_and_store(industry, keywords, count):
|
386 |
-
markdown, html, brands = generate_brands(industry, keywords, count)
|
387 |
-
return markdown, html, brands
|
388 |
-
|
389 |
-
generate_btn.click(
|
390 |
-
fn=generate_and_store,
|
391 |
-
inputs=[industry_input, keywords_input, count_slider],
|
392 |
-
outputs=[output_markdown, output_visual, current_brands]
|
393 |
-
)
|
394 |
-
|
395 |
-
def create_export_file(brands):
|
396 |
-
if not brands:
|
397 |
-
return None
|
398 |
-
|
399 |
-
content = export_brands(brands)
|
400 |
-
filename = f"square_theory_brands_{datetime.now().strftime('%Y%m%d_%H%M%S')}.json"
|
401 |
-
|
402 |
-
with open(filename, 'w', encoding='utf-8') as f:
|
403 |
-
f.write(content)
|
404 |
-
|
405 |
-
return gr.File(value=filename, visible=True)
|
406 |
-
|
407 |
-
export_btn.click(
|
408 |
-
fn=create_export_file,
|
409 |
-
inputs=[current_brands],
|
410 |
-
outputs=[download_file]
|
411 |
-
)
|
412 |
-
|
413 |
-
gr.Markdown("""
|
414 |
-
---
|
415 |
-
### ๐ฏ ํ์ฉ ๋ฐฉ๋ฒ
|
416 |
-
|
417 |
-
1. **๋ธ๋๋ ๊ฐ๋ฐ**: ์์ฑ๋ Square ์ค ๊ฐ์ฅ ๊ฐ๋ ฅํ ๊ฒ ์ ํ
|
418 |
-
2. **๋ง์ผํ
์ ๋ต**: Square์ ๊ฐ ์์๋ฅผ ์บ ํ์ธ์ ํ์ฉ
|
419 |
-
3. **์คํ ๋ฆฌํ
๋ง**: Square๊ฐ ๋ง๋๋ ๋ด๋ฌํฐ๋ธ ํ์ฉ
|
420 |
-
4. **ํ์ฅ ๊ฐ๋ฅ์ฑ**: Square์ ๊ฐ ๋ชจ์๋ฆฌ์์ ์๋ธ๋ธ๋๋ ํ์
|
421 |
-
|
422 |
-
### ๐ Square Theory ๋ธ๋๋ฉ์ ํ
|
423 |
-
|
424 |
-
Square๋ฅผ ์์ฑํ๋ ๋ธ๋๋๋:
|
425 |
-
- **๊ธฐ์ตํ๊ธฐ ์ฌ์**: ์๋ฏธ์ ์ฐ๊ฒฐ์ด ๊ธฐ์ต์ ๊ฐํ
|
426 |
-
- **์คํ ๋ฆฌ๊ฐ ์์**: Square ์์ฒด๊ฐ ๋ธ๋๋ ์คํ ๋ฆฌ
|
427 |
-
- **ํ์ฅ ๊ฐ๋ฅ**: ๊ฐ ์์์์ ์๋ก์ด ์๋ฏธ ํ์
|
428 |
-
- **์ฐจ๋ณํ๋จ**: ๋
ํนํ ์๋ฏธ ๊ตฌ์กฐ๋ก ๊ฒฝ์์ฌ์ ๊ตฌ๋ณ
|
429 |
-
""")
|
430 |
-
|
431 |
-
if __name__ == "__main__":
|
432 |
-
demo.launch(
|
433 |
-
server_name="0.0.0.0",
|
434 |
-
server_port=7860,
|
435 |
-
share=False
|
436 |
-
)
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