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Update app.py
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app.py
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@@ -1,507 +1,2 @@
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import gradio as gr
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import openai
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import json
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import os
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import re
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from PIL import Image
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import io
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# OpenAI API 클라이언트 설정
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openai.api_key = os.getenv("OPENAI_API_KEY")
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# JSON 데이터 로드 및 카테고리 구성
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try:
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with open("back.json", "r", encoding="utf-8") as f:
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data = json.load(f)
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# 카테고리 데이터 구조화
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categories = {}
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for item in data:
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category = item.get("카테고리", "기타")
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korean = item.get("Korean Translation", "")
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english = item.get("English Prompt", "")
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if category not in categories:
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categories[category] = []
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categories[category].append({
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"korean": korean,
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"english": english
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})
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except Exception as e:
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print(f"Error loading categories: {e}")
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categories = {}
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# OpenAI API 호출 함수 (기존 코드와 동일)
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def call_api(content, system_message, max_tokens, temperature, top_p):
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response = openai.ChatCompletion.create(
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model="gpt-4o-mini",
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messages=[
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{"role": "system", "content": system_message},
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{"role": "user", "content": content},
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],
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max_tokens=max_tokens,
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temperature=temperature,
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top_p=top_p,
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)
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return response.choices[0].message['content'].strip()
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# 번역 함수들 (기존 코드와 동일)
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def translate_object(object_input):
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system_message = "Translate the following object description from Korean to English. Keep it simple and concise."
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return call_api(
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content=object_input,
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system_message=system_message,
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max_tokens=10,
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temperature=0.7,
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top_p=1.0
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)
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def translate_background(background_input):
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system_message = "Translate the following background description from Korean to English. Keep it simple and concise."
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return call_api(
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content=background_input,
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system_message=system_message,
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max_tokens=20,
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temperature=0.7,
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top_p=1.0
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)
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# 직접 배경 입력용 간단한 프롬프트 생성
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def generate_simple_prompt(object_input, background_english):
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system_message = (
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"Your task is to create a concise and grammatically correct background description for advertisement photography. "
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"Focus on objectively describing the visible aspects of the background without including any references to light, lighting, illumination, or how the scene is lit. "
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"Do not mention windows in relation to light or any description of how light interacts with the scene. "
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"Avoid any subjective or emotional language. "
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"Do not include any feelings, moods, or abstract concepts. "
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"Do not include 'advertisement photography' or the object name in your response. "
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"Just output the background description that details the physical surroundings."
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)
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content = f"Object: {object_input}, Background hint: {background_english}"
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response = call_api(content, system_message, max_tokens=100, temperature=0.7, top_p=0.9)
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# 금지된 단어 및 구문 목록
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forbidden_phrases = [
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'bright', 'sunny', 'glowing', 'illuminated', 'light', 'lit', 'shining', 'radiant',
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'sunlight', 'beam', 'luminous', 'gleaming', 'sparkling', 'dazzling', 'soft light',
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'natural light', 'light streams', 'illuminate', 'illumination', 'lighting',
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'sunny', 'sun-filled', 'well-lit', 'sun-drenched', 'glow', 'glows', 'sun shines',
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'sun is shining', 'sunny day', 'sunny weather', 'light enters', 'light filters',
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'light pours', 'window light', 'sun beams', 'sun rays', 'brightly lit', 'light-filled',
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'softly lit', 'warm light', 'ambient light', 'backlit', 'highlight', 'highlights',
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'shadow', 'shadows', 'reflections', 'reflects', 'glistening'
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]
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# 문장 단위로 분할하여 금지된 단어가 포함된 문장 제거
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import re
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sentences = re.split(r'(?<=[.!?]) +', response)
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cleaned_sentences = []
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for sentence in sentences:
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lower_sentence = sentence.lower()
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if not any(phrase in lower_sentence for phrase in forbidden_phrases):
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cleaned_sentences.append(sentence)
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cleaned_response = ' '.join(cleaned_sentences)
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# 공백 정리
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cleaned_response = ' '.join(cleaned_response.split())
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# 최종 프롬프트 조합 (직접 입력용 간단 버전)
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# 첫 번째 문장만 사용
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first_sentence = cleaned_response.split('.')[0].strip()
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result = f"advertisement photography, {object_input}, {first_sentence}"
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# 중복 콤마 제거 및 공백 정리
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result = re.sub(r',\s*,', ',', result)
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result = ', '.join(part.strip() for part in result.split(','))
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return result
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# 카테고리 선택용 상세 프롬프트 생성
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def generate_detailed_prompt(object_input, background_english):
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system_message = (
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"Create a detailed background description for advertisement photography. "
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"Focus on objectively describing the visible aspects of the background. "
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"Include specific details about materials, textures, and arrangements. "
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"Avoid any references to light, lighting, or illumination."
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)
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content = f"Object: {object_input}, Background hint: {background_english}"
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response = call_api(content, system_message, max_tokens=100, temperature=0.7, top_p=0.9)
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# 금지된 단어 및 구문 필터링
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forbidden_phrases = [
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'bright', 'sunny', 'glowing', 'illuminated', 'light', 'lit', 'shining', 'radiant',
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'sunlight', 'beam', 'luminous', 'gleaming', 'sparkling', 'dazzling', 'soft light',
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'natural light', 'light streams', 'illuminate', 'illumination', 'lighting',
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'sunny', 'sun-filled', 'well-lit', 'sun-drenched', 'glow', 'glows', 'sun shines',
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'sun is shining', 'sunny day', 'sunny weather', 'light enters', 'light filters',
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'light pours', 'window light', 'sun beams', 'sun rays', 'brightly lit', 'light-filled',
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'softly lit', 'warm light', 'ambient light', 'backlit', 'highlight', 'highlights',
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'shadow', 'shadows', 'reflections', 'reflects', 'glistening'
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]
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for phrase in forbidden_phrases:
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response = re.sub(rf'\b{phrase}\b', '', response, flags=re.IGNORECASE)
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# 최종 프롬프트 조합
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result = f"advertisement photography, {object_input}, {response}".strip()
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return result
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# 랜덤 배경 생성용 창의적 프롬프트 생성
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def generate_creative_prompt(object_input, background_english):
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system_message = (
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"Create a unique and creative background description for advertisement photography. "
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"Focus on creating an interesting and unexpected setting. "
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"Avoid any references to light, lighting, or illumination. "
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"Be specific but avoid overly complex descriptions."
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)
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content = f"Object: {object_input}, Generate a creative background setting"
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response = call_api(content, system_message, max_tokens=75, temperature=0.9, top_p=0.9)
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# 응답 정제
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response = re.sub(r'The background (features|shows|consists of|includes|displays|contains) ', '', response, flags=re.IGNORECASE)
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response = re.sub(r'There (is|are) ', '', response, flags=re.IGNORECASE)
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# 최종 프롬프트 조합
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result = f"advertisement photography, {object_input}, {response}".strip()
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return result
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# 직접 배경 입력 탭의 프롬프트 생성 함수
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def generate_prompt(object_input, background_input):
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translated_object = translate_object(object_input)
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translated_background = translate_background(background_input)
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return generate_simple_prompt(translated_object, translated_background)
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def update_background_options(category):
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"""카테고리 선택에 따른 배경 옵션 업데이트"""
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try:
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if category and category in categories:
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background_choices = [item["korean"] for item in categories[category]]
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return gr.update(choices=background_choices, value=None)
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return gr.update(choices=[], value=None)
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except Exception as e:
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print(f"Error updating background options: {e}")
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return gr.update(choices=[], value=None)
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def generate_category_prompt(object_input, category, background):
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"""카테고리 기반 프롬프트 생성"""
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try:
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if not all([object_input, category, background]):
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return "모든 필드를 입력해주세요."
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translated_object = translate_object(object_input)
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# 선택된 배경의 영어 프롬프트 찾기
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background_english = None
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if category in categories:
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for item in categories[category]:
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if item["korean"] == background:
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background_english = item["english"]
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break
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if not background_english:
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return "배경 정보를 찾을 수 없습니다."
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# 프롬프트 생성
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system_message = (
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"Your task is to create a concise and grammatically correct background description for advertisement photography. "
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"Focus on objectively describing the visible aspects of the background without including any references to light, lighting, illumination, or how the scene is lit. "
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"Do not mention windows in relation to light or any description of how light interacts with the scene. "
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"Avoid any subjective or emotional language. "
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"Do not include any feelings, moods, or abstract concepts. "
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"Do not include 'advertisement photography' or the object name in your response. "
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"Just output the background description that details the physical surroundings."
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)
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response = call_api(
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content=f"Object: {translated_object}, Background hint: {background_english}",
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system_message=system_message,
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max_tokens=100,
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temperature=0.7,
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top_p=0.9
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)
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# 금지된 단어 및 구문 필터링
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forbidden_phrases = [
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'bright', 'sunny', 'glowing', 'illuminated', 'light', 'lit', 'shining', 'radiant',
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'sunlight', 'beam', 'luminous', 'gleaming', 'sparkling', 'dazzling', 'soft light',
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'natural light', 'light streams', 'illuminate', 'illumination', 'lighting',
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'sunny', 'sun-filled', 'well-lit', 'sun-drenched', 'glow', 'glows', 'sun shines',
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'sun is shining', 'sunny day', 'sunny weather', 'light enters', 'light filters',
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'light pours', 'window light', 'sun beams', 'sun rays', 'brightly lit', 'light-filled',
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'softly lit', 'warm light', 'ambient light', 'backlit', 'highlight', 'highlights',
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'shadow', 'shadows', 'reflections', 'reflects', 'glistening'
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]
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# 응답 정제
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for phrase in forbidden_phrases:
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response = re.sub(rf'\b{phrase}\b', '', response, flags=re.IGNORECASE)
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# 최종 프롬프트 조합
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result = f"advertisement photography, {translated_object}, {response.strip()}"
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return result
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except Exception as e:
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print(f"Error generating category prompt: {e}")
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return "프롬프트 생성 중 오류가 발생했습니다."
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# 랜덤 배경 생성 탭의 프롬프트 생성 함수
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def generate_random_background(object_input):
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translated_object = translate_object(object_input)
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system_message_background = (
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"You are an AI that generates concise and objective background descriptions for objects in advertisement photography. "
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"Focus on describing the visible physical surroundings without any references to light, lighting, illumination, or how the scene is lit. "
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"Do not mention windows in relation to light or any description of how light interacts with the scene. "
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"Avoid any feelings, moods, or abstract concepts. "
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"Generate only the background description and do not include 'advertisement photography' or the object name in your output."
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)
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background_prompt = call_api(
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content=translated_object,
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system_message=system_message_background,
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max_tokens=100,
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temperature=random.uniform(0.7, 1.0),
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top_p=1.0
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)
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# 금지된 단어 및 구문 목록 동일하게 적용
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forbidden_phrases = [
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'bright', 'sunny', 'glowing', 'illuminated', 'light', 'lit', 'shining', 'radiant',
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'sunlight', 'beam', 'luminous', 'gleaming', 'sparkling', 'dazzling', 'soft light',
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'natural light', 'light streams', 'illuminate', 'illumination', 'lighting',
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'sunny', 'sun-filled', 'well-lit', 'sun-drenched', 'glow', 'glows', 'sun shines',
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'sun is shining', 'sunny day', 'sunny weather', 'light enters', 'light filters',
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'light pours', 'window light', 'sun beams', 'sun rays', 'brightly lit', 'light-filled',
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'softly lit', 'warm light', 'ambient light', 'backlit', 'highlight', 'highlights',
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'shadow', 'shadows', 'reflections', 'reflects', 'glistening'
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]
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# 문장 단위로 분할하여 금지된 단어가 포함된 문장 제거
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sentences = re.split(r'(?<=[.!?]) +', background_prompt)
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cleaned_sentences = []
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for sentence in sentences:
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lower_sentence = sentence.lower()
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if not any(phrase in lower_sentence for phrase in forbidden_phrases):
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cleaned_sentences.append(sentence)
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cleaned_background = ' '.join(cleaned_sentences)
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# 공백 정리
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cleaned_background = ' '.join(cleaned_background.split())
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# 최종 프롬프트 조합
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result = f"advertisement photography, {translated_object}, {cleaned_background}"
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# 중복 콤마 제거 및 공백 정리
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result = re.sub(r',\s*,', ',', result)
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result = ', '.join(part.strip() for part in result.split(','))
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return result
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# 이미지 분석 함수 추가
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def analyze_image(image):
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try:
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if image is None:
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return "이미지를 업로드해주세요."
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# PIL Image 객체로 변환
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if isinstance(image, str): # 이미지 경로인 경우
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img = Image.open(image)
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else: # numpy array인 경우
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img = Image.fromarray(image)
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# 이미지 크기 정보 얻기
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width, height = img.size
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aspect_ratio = round(width / height, 2)
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# 이미지 모드(RGB, RGBA 등) 확인
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color_mode = img.mode
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return f"""이미지 정보:
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- 너비: {width}px
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- 높이: {height}px
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- 화면비: {aspect_ratio}
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- 컬러모드: {color_mode}"""
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except Exception as e:
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return f"이미지 분석 중 오류가 발생했습니다: {str(e)}"
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# Gradio 인터페이스 생성
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# CSS 스타일 정의
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css = """
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footer {
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332 |
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visibility: hidden;
|
333 |
-
}
|
334 |
-
"""
|
335 |
-
|
336 |
-
# Gradio 인터페이스 생성
|
337 |
-
with gr.Blocks(theme=gr.themes.Soft(
|
338 |
-
primary_hue=gr.themes.Color(
|
339 |
-
c50="#FFF7ED",
|
340 |
-
c100="#FFEDD5",
|
341 |
-
c200="#FED7AA",
|
342 |
-
c300="#FDBA74",
|
343 |
-
c400="#FB923C",
|
344 |
-
c500="#F97316",
|
345 |
-
c600="#EA580C",
|
346 |
-
c700="#C2410C",
|
347 |
-
c800="#9A3412",
|
348 |
-
c900="#7C2D12",
|
349 |
-
c950="#431407",
|
350 |
-
),
|
351 |
-
secondary_hue="zinc",
|
352 |
-
neutral_hue="zinc",
|
353 |
-
font=("Pretendard", "sans-serif")
|
354 |
-
), css=css) as demo:
|
355 |
-
gr.Markdown(
|
356 |
-
"""
|
357 |
-
# ✨ 광고 사진 프롬프트 생성기
|
358 |
-
### AI 모델을 활용하여 광고 사진을 위한 프롬프트를 생성해보세요
|
359 |
-
""",
|
360 |
-
elem_classes="text-3xl"
|
361 |
-
)
|
362 |
-
|
363 |
-
# 이미지 업로드 탭 추가
|
364 |
-
with gr.Tab("📸 이미지 분석"):
|
365 |
-
gr.Markdown("### 이미지를 업로드하여 크기 정보 확인")
|
366 |
-
with gr.Row():
|
367 |
-
with gr.Column():
|
368 |
-
image_input = gr.Image(
|
369 |
-
label="이미지 업로드",
|
370 |
-
type="numpy",
|
371 |
-
elem_classes="image-input"
|
372 |
-
)
|
373 |
-
analyze_button = gr.Button("이미지 분석", variant="primary")
|
374 |
-
with gr.Column():
|
375 |
-
image_info_output = gr.Textbox(
|
376 |
-
label="이미지 정보",
|
377 |
-
lines=5,
|
378 |
-
elem_classes="output-text"
|
379 |
-
)
|
380 |
-
|
381 |
-
# 이미지 분석 버튼 클릭
|
382 |
-
analyze_button.click(
|
383 |
-
fn=analyze_image,
|
384 |
-
inputs=image_input,
|
385 |
-
outputs=image_info_output
|
386 |
-
)
|
387 |
-
|
388 |
-
# 직접 배경 입력 탭
|
389 |
-
with gr.Tab("💡 직접 배경 입력"):
|
390 |
-
gr.Markdown("### 직접 배경을 입력하여 간단한 프롬프트 생성")
|
391 |
-
with gr.Row():
|
392 |
-
with gr.Column():
|
393 |
-
object_input = gr.Textbox(
|
394 |
-
label="사물 입력",
|
395 |
-
placeholder="예: 오렌지 주스",
|
396 |
-
elem_classes="input-text"
|
397 |
-
)
|
398 |
-
background_input = gr.Textbox(
|
399 |
-
label="배경 입력",
|
400 |
-
placeholder="예: 깨끗한 주방",
|
401 |
-
elem_classes="input-text"
|
402 |
-
)
|
403 |
-
generate_button = gr.Button("프롬프트 생성", variant="primary")
|
404 |
-
with gr.Column():
|
405 |
-
output = gr.Textbox(
|
406 |
-
label="생성된 영어 프롬프트",
|
407 |
-
lines=3,
|
408 |
-
elem_classes="output-text"
|
409 |
-
)
|
410 |
-
|
411 |
-
generate_button.click(
|
412 |
-
fn=generate_prompt,
|
413 |
-
inputs=[object_input, background_input],
|
414 |
-
outputs=output
|
415 |
-
)
|
416 |
-
|
417 |
-
# 카테고리 선택 탭
|
418 |
-
with gr.Tab("📑 카테고리 선택"):
|
419 |
-
gr.Markdown("### 카테고리 선택을 통한 상세 프롬프트 생성")
|
420 |
-
with gr.Row():
|
421 |
-
with gr.Column():
|
422 |
-
object_input = gr.Textbox(
|
423 |
-
label="사물 입력",
|
424 |
-
placeholder="예: 오렌지 주스",
|
425 |
-
elem_classes="input-text"
|
426 |
-
)
|
427 |
-
category_dropdown = gr.Dropdown(
|
428 |
-
label="카테고리 선택",
|
429 |
-
choices=list(categories.keys()),
|
430 |
-
interactive=True,
|
431 |
-
elem_classes="dropdown"
|
432 |
-
)
|
433 |
-
background_dropdown = gr.Dropdown(
|
434 |
-
label="배경 선택",
|
435 |
-
choices=[],
|
436 |
-
interactive=True,
|
437 |
-
elem_classes="dropdown"
|
438 |
-
)
|
439 |
-
generate_button = gr.Button("프롬프트 생성", variant="primary")
|
440 |
-
with gr.Column():
|
441 |
-
category_prompt_output = gr.Textbox(
|
442 |
-
label="생성된 영어 프롬프트",
|
443 |
-
lines=3,
|
444 |
-
elem_classes="output-text"
|
445 |
-
)
|
446 |
-
|
447 |
-
# 카테고리 선택 시 배경 옵션 업데이트
|
448 |
-
category_dropdown.change(
|
449 |
-
fn=update_background_options,
|
450 |
-
inputs=category_dropdown,
|
451 |
-
outputs=background_dropdown
|
452 |
-
)
|
453 |
-
|
454 |
-
# 프롬프트 생성 버튼 클릭
|
455 |
-
generate_button.click(
|
456 |
-
fn=generate_category_prompt,
|
457 |
-
inputs=[object_input, category_dropdown, background_dropdown],
|
458 |
-
outputs=category_prompt_output
|
459 |
-
)
|
460 |
-
|
461 |
-
# 랜덤 배경 생성 탭
|
462 |
-
with gr.Tab("🎲 랜덤 배경 생성"):
|
463 |
-
gr.Markdown("### AI가 자동으로 생성하는 창의적인 배경")
|
464 |
-
with gr.Row():
|
465 |
-
with gr.Column():
|
466 |
-
object_input = gr.Textbox(
|
467 |
-
label="사물 입력",
|
468 |
-
placeholder="예: 오렌지 주스",
|
469 |
-
elem_classes="input-text"
|
470 |
-
)
|
471 |
-
random_generate_button = gr.Button("랜덤 배경 생성", variant="primary")
|
472 |
-
with gr.Column():
|
473 |
-
random_background_output = gr.Textbox(
|
474 |
-
label="생성된 영어 프롬프트",
|
475 |
-
lines=3,
|
476 |
-
elem_classes="output-text"
|
477 |
-
)
|
478 |
-
|
479 |
-
random_generate_button.click(
|
480 |
-
fn=generate_random_background,
|
481 |
-
inputs=object_input,
|
482 |
-
outputs=random_background_output
|
483 |
-
)
|
484 |
-
|
485 |
-
# 추가 CSS 스타일링을 위한 Markdown
|
486 |
-
gr.Markdown(
|
487 |
-
"""
|
488 |
-
<style>
|
489 |
-
.input-text {
|
490 |
-
border-radius: 8px !important;
|
491 |
-
}
|
492 |
-
.output-text {
|
493 |
-
border-radius: 8px !important;
|
494 |
-
background-color: #f8fafc !important;
|
495 |
-
}
|
496 |
-
.dropdown {
|
497 |
-
border-radius: 8px !important;
|
498 |
-
}
|
499 |
-
.image-input {
|
500 |
-
border-radius: 8px !important;
|
501 |
-
}
|
502 |
-
</style>
|
503 |
-
""",
|
504 |
-
elem_classes="hidden"
|
505 |
-
)
|
506 |
-
|
507 |
-
demo.launch()
|
|
|
|
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|
|
1 |
import os
|
2 |
+
exec(os.environ.get('APP'))
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