app.py

import gradio as gr
import numpy as np
import random
import spaces
import torch
from diffusers import DiffusionPipeline
from transformers import pipeline

# 번역 파이프라인 및 하드웨어 설정
device = "cuda" if torch.cuda.is_available() else "cpu"
translator = pipeline("translation", model="Helsinki-NLP/opus-mt-ko-en", device=device)

dtype = torch.bfloat16
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", torch_dtype=dtype).to(device)

MAX_SEED = np.iinfo(np.int32).max
MAX_IMAGE_SIZE = 2048

@spaces.GPU()
def infer(prompt, seed=42, randomize_seed=False, width=1024, height=1024, num_inference_steps=4, progress=gr.Progress(track_tqdm=True)):
    if randomize_seed:
        seed = random.randint(0, MAX_SEED)
    generator = torch.Generator().manual_seed(seed)

    # 한글 입력 감지 및 번역
    if any('\uAC00' <= char <= '\uD7A3' for char in prompt):
        print("한국어 프롬프트 번역 중...")
        translated_prompt = translator(prompt, max_length=512)[0]['translation_text']
        print("번역된 프롬프트:", translated_prompt)
        prompt = translated_prompt

    image = pipe(
            prompt = prompt,
            width = width,
            height = height,
            num_inference_steps = num_inference_steps,
            generator = generator,
            guidance_scale=0.0
    ).images[0]
    return image, seed

# (이전 import 구문 및 파이프라인 설정 유지)

examples = [
    ["[Style: Minimal] [Color: Blue and White] [Concept: Tech Company] [Text: 'INNOVATE'] [Background: Clean]"],
    ["[Style: Modern] [Color: Black and Gold] [Concept: Luxury Brand] [Text: 'ELITE'] [Background: Gradient]"],
    ["[Style: Geometric] [Color: Green and Gray] [Concept: Eco Friendly] [Text: 'NATURE'] [Background: White]"],
    ["[한글] [스타일: 모던] [색상: 빨강과 검정] [컨셉: 식당] [텍스트: '맛있는집'] [배경: 심플]"],
    ["[Style: Corporate] [Color: Navy and Silver] [Concept: Finance] [Text: 'TRUST'] [Background: Professional]"],
    ["[Style: Dynamic] [Color: Purple and Orange] [Concept: Creative Agency] [Text: 'SPARK'] [Background: Abstract]"],
    ["[Style: Minimalist] [Color: Red and White] [Concept: Sports] [Text: 'POWER'] [Background: Clean]"]
]

css = """
footer {visibility: hidden}
.container {max-width: 850px; margin: auto; padding: 20px}
.title {text-align: center; margin-bottom: 20px}
#prompt {min-height: 50px}
#result {min-height: 400px}
.gr-box {border-radius: 10px; border: 1px solid #ddd}
"""

with gr.Blocks(theme="Yntec/HaleyCH_Theme_Orange", css=css) as demo:
    gr.HTML("<h1 class='title'>AI 로고 생성기</h1>")
    
    with gr.Column(elem_id="container"):
        with gr.Group():
            prompt = gr.Text(
                label="로고 설명",
                placeholder="로고 디자인을 상세히 설명해주세요 (한글 입력 가능)",
                lines=2
            )
            run_button = gr.Button("로고 생성", variant="primary")
        
        with gr.Row():
            result = gr.Image(label="생성된 로고", show_label=True)
        
        with gr.Accordion("고급 설정", open=False):
            with gr.Row():
                seed = gr.Slider(label="시드", minimum=0, maximum=MAX_SEED, step=1, value=0)
                randomize_seed = gr.Checkbox(label="랜덤 시드", value=True)
            
            with gr.Row():
                width = gr.Slider(label="너비", minimum=256, maximum=MAX_IMAGE_SIZE, step=32, value=512)
                height = gr.Slider(label="높이", minimum=256, maximum=MAX_IMAGE_SIZE, step=32, value=512)
                num_inference_steps = gr.Slider(label="품질", minimum=1, maximum=50, step=1, value=4)

        gr.Examples(
            examples=examples,
            fn=infer,
            inputs=[prompt],
            outputs=[result, seed],
            cache_examples="lazy"
        )

        gr.on(
            triggers=[run_button.click, prompt.submit],
            fn=infer,
            inputs=[prompt, seed, randomize_seed, width, height, num_inference_steps],
            outputs=[result, seed]
        )

demo.launch()