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Update app.py
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app.py
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@@ -12,6 +12,8 @@ import torch
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from diffusers import FluxPipeline
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from PIL import Image
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from transformers import pipeline
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translator = pipeline("translation", model="Helsinki-NLP/opus-mt-ko-en")
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@@ -268,37 +270,47 @@ with gr.Blocks(
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value="3d.webp"
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)
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with gr.Row(elem_classes="gallery-container"):
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gr.HTML("<h2 class='gallery-title'>Gallery</h2>")
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gallery_html = "<div style='display: grid; grid-template-columns: repeat(auto-fill, minmax(300px, 1fr)); gap: 20px;'>"
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for img_file,
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border-radius: 8px;
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margin-bottom: 10px;'
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>
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<p style='
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margin: 5px 0;
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font-weight: bold;
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color: #333;
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padding: 10px;
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gallery_html += "</div>"
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gr.HTML(gallery_html)
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# 이벤트 바인딩
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generate_btn.click(
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from diffusers import FluxPipeline
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from PIL import Image
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from transformers import pipeline
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import base64
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translator = pipeline("translation", model="Helsinki-NLP/opus-mt-ko-en")
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value="3d.webp"
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)
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# Gallery 섹션
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with gr.Row(elem_classes="gallery-container"):
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gr.HTML("<h2 class='gallery-title'>Gallery</h2>")
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gallery_html = "<div style='display: grid; grid-template-columns: repeat(auto-fill, minmax(300px, 1fr)); gap: 20px;'>"
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for img_file, prompt in SAMPLE_IMAGES.items():
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img_path = os.path.abspath(img_file) # 절대 경로로 변환
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if os.path.exists(img_path):
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try:
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# Base64로 이미지 인코딩
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with open(img_path, "rb") as img:
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img_data = base64.b64encode(img.read()).decode()
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gallery_html += f"""
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<div style='
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border: 1px solid #ddd;
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border-radius: 10px;
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padding: 10px;
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background: white;
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box-shadow: 0 4px 8px rgba(0,0,0,0.1);
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'>
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<img src='data:image/webp;base64,{img_data}'
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style='width: 100%;
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border-radius: 8px;
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margin-bottom: 10px;'
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>
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<p style='
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margin: 5px 0;
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font-weight: bold;
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color: #333;
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padding: 10px;
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'>Prompt: {prompt}</p>
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</div>
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"""
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except Exception as e:
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print(f"Error loading image {img_file}: {str(e)}")
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gallery_html += "</div>"
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gr.HTML(gallery_html)
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# 이벤트 바인딩
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generate_btn.click(
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