Delete app-backup.py

app-backup.py

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-import gradio as gr
-import numpy as np
-import random
-import torch
-from diffusers import DiffusionPipeline
-import spaces
-
-# 기본 설정
-dtype = torch.bfloat16
-device = "cuda" if torch.cuda.is_available() else "cpu"
-
-# 모델 로드
-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
-
-# 제품 디자인 컨셉 예시
-EXAMPLES = [
-    {
-        "title": "Smart Coffee Machine",
-        "prompt": """A sleek industrial design concept for a coffee machine:
-        - Curved metallic body with minimal bezel
-        - Touchscreen panel for settings
-        - Modern matte black finish
-        - Hand-drawn concept sketch style""",
-        "width": 1024,
-        "height": 1024
-    },
-    {
-        "title": "AI Speaker",
-        "prompt": """A futuristic AI speaker concept:
-        - Cylindrical shape with LED ring near top
-        - Voice assistant concept, floating panel controls
-        - Smooth glossy finish with minimal seams
-        - Techy, modern look in grayscale""",
-        "width": 1024,
-        "height": 1024
-    },
-    {
-        "title": "Next-Gen Smartphone",
-        "prompt": """A wireframe-style concept for a bezel-less smartphone:
-        - Edge-to-edge display
-        - Integrated camera under screen
-        - Metallic frame, minimal ports
-        - Sleek, glossy black design""",
-        "width": 1024,
-        "height": 1024
-    },
-    {
-        "title": "Futuristic Electric Bicycle",
-        "prompt": """An industrial design sketch of an electric bike:
-        - Lightweight carbon frame, aerodynamic lines
-        - Integrated battery, sleek display on handlebars
-        - Neon color highlights on wheels
-        - High-tech vibe, minimal clutter""",
-        "width": 1024,
-        "height": 1024
-    },
-    {
-        "title": "Concept Car Interior",
-        "prompt": """A luxurious and futuristic car interior concept:
-        - Wrap-around digital dashboard
-        - Minimalistic steering control, seat controls on touchscreen
-        - Ambient LED accent lights
-        - Soft leather seats, bright accent stitching""",
-        "width": 1024,
-        "height": 1024
-    }
-]
-
-# Convert examples to Gradio format (if needed)
-GRADIO_EXAMPLES = [
-    [example["prompt"], example["width"], example["height"]]
-    for example in EXAMPLES
-]
-
-@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)
-    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
-
-# CSS 스타일 (기존 구조 유지)
-css = """
-.container {
-    display: flex;
-    flex-direction: row;
-    height: 100%;
-}
-.input-column {
-    flex: 1;
-    padding: 20px;
-    border-right: 2px solid #eee;
-    max-width: 800px;
-}
-.examples-column {
-    flex: 1;
-    padding: 20px;
-    overflow-y: auto;
-    background: #f7f7f7;
-}
-.title {
-    text-align: center;
-    color: #2a2a2a;
-    padding: 20px;
-    font-size: 2.5em;
-    font-weight: bold;
-    background: linear-gradient(90deg, #f0f0f0 0%, #ffffff 100%);
-    border-bottom: 3px solid #ddd;
-    margin-bottom: 30px;
-}
-.subtitle {
-    text-align: center;
-    color: #666;
-    margin-bottom: 30px;
-}
-.input-box {
-    background: white;
-    padding: 20px;
-    border-radius: 10px;
-    box-shadow: 0 2px 10px rgba(0,0,0,0.1);
-    margin-bottom: 20px;
-    width: 100%;
-}
-.input-box textarea {
-    width: 100% !important;
-    min-width: 600px !important;
-    font-size: 14px !important;
-    line-height: 1.5 !important;
-    padding: 12px !important;
-}
-.example-card {
-    background: white;
-    padding: 15px;
-    margin: 10px 0;
-    border-radius: 8px;
-    box-shadow: 0 2px 5px rgba(0,0,0,0.05);
-}
-.example-title {
-    font-weight: bold;
-    color: #2a2a2a;
-    margin-bottom: 10px;
-}
-.contain {
-    max-width: 1400px !important;
-    margin: 0 auto !important;
-}
-.input-area {
-    flex: 2 !important;
-}
-.examples-area {
-    flex: 1 !important;
-}
-"""
-
-with gr.Blocks(css=css) as demo:
-    gr.Markdown(
-        """
-        <div class="title">GINI Design</div>
-        <div class="subtitle">Generate sleek industrial/product design concepts with FLUX AI</div>
-        """)
-
-    with gr.Row(equal_height=True):
-        # 왼쪽 입력 컬럼
-        with gr.Column(elem_id="input-column", scale=2):
-            with gr.Group(elem_classes="input-box"):
-                prompt = gr.Text(
-                    label="Design Prompt",
-                    placeholder="Enter your product design concept details...",
-                    lines=10,
-                    elem_classes="prompt-input"
-                )
-                run_button = gr.Button("Generate Design", variant="primary")
-                result = gr.Image(label="Generated Design")
-            
-            with gr.Accordion("Advanced Settings", open=False):
-                seed = gr.Slider(
-                    label="Seed",
-                    minimum=0,
-                    maximum=MAX_SEED,
-                    step=1,
-                    value=0,
-                )
-                randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
-                
-                with gr.Row():
-                    width = gr.Slider(
-                        label="Width",
-                        minimum=256,
-                        maximum=MAX_IMAGE_SIZE,
-                        step=32,
-                        value=1024,
-                    )
-                    height = gr.Slider(
-                        label="Height",
-                        minimum=256,
-                        maximum=MAX_IMAGE_SIZE,
-                        step=32,
-                        value=1024,
-                    )
-                
-                num_inference_steps = gr.Slider(
-                    label="Number of inference steps",
-                    minimum=1,
-                    maximum=50,
-                    step=1,
-                    value=4,
-                )
-        
-        # 오른쪽 예제 컬럼
-        with gr.Column(elem_id="examples-column", scale=1):
-            gr.Markdown("### Example Product Designs")
-            for example in EXAMPLES:
-                with gr.Group(elem_classes="example-card"):
-                    gr.Markdown(f"#### {example['title']}")
-                    gr.Markdown(f"```\n{example['prompt']}\n```")
-                    
-                    def create_example_handler(ex):
-                        def handler():
-                            return {
-                                prompt: ex["prompt"],
-                                width: ex["width"],
-                                height: ex["height"]
-                            }
-                        return handler
-                    
-                    gr.Button("Use This Example", size="sm").click(
-                        fn=create_example_handler(example),
-                        outputs=[prompt, width, height]
-                    )
-
-    # 이벤트 바인딩 (버튼 클릭 & 텍스트박스 엔터)
-    gr.on(
-        triggers=[run_button.click, prompt.submit],
-        fn=infer,
-        inputs=[prompt, seed, randomize_seed, width, height, num_inference_steps],
-        outputs=[result, seed]
-    )
-
-if __name__ == "__main__":
-    demo.queue()
-    demo.launch(
-        server_name="0.0.0.0",
-        server_port=7860,
-        share=False,
-        show_error=True,
-        debug=True
-    )