Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -5,11 +5,11 @@ import torch
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from diffusers import DiffusionPipeline
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import spaces
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#
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dtype = torch.bfloat16
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device = "cuda" if torch.cuda.is_available() else "cpu"
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#
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pipe = DiffusionPipeline.from_pretrained(
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"black-forest-labs/FLUX.1-schnell",
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torch_dtype=dtype
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@@ -33,8 +33,43 @@ def generate_image(prompt, seed, randomize_seed, width, height, steps, guidance_
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).images[0]
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return image, seed
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css = """
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body {
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background: linear-gradient(135deg, #667eea, #764ba2);
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font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif;
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@@ -50,10 +85,6 @@ body {
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margin: 40px auto;
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max-width: 1200px;
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}
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.gradio-container h1 {
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color: #333;
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text-shadow: 1px 1px 2px rgba(0, 0, 0, 0.2);
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}
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.sidebar {
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background: rgba(255, 255, 255, 0.98);
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border-radius: 10px;
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@@ -75,112 +106,88 @@ button, .btn {
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button:hover, .btn:hover {
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transform: scale(1.05);
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}
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# 예제 프롬프트 (각 탭별로 다양한 예시)
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example_prompts = {
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"Flowchart": [
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"A hand-drawn style flowchart depicting a software release pipeline with clear nodes for development, testing, deployment, and maintenance.",
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"An illustrated business process flowchart for a customer service workflow, with decision points and clear labels.",
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"A creative flowchart showing the steps of a marketing campaign from ideation to execution."
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],
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"Infographic": [
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"A visually appealing infographic displaying global sales data with vibrant colors, icons, and modern design elements.",
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"An infographic illustrating startup growth metrics with graphs, charts, and minimalist design.",
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"A data-driven infographic showcasing key performance indicators for a corporate strategy, with clear sections and illustrations."
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],
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"Mockup": [
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"A sketch-style UX mockup for a mobile banking app login flow, featuring clean lines and minimalist design.",
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"A wireframe mockup for an e-commerce website homepage, with user-friendly navigation and modern layout.",
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"A prototype mockup for a productivity dashboard with a focus on intuitive user interface elements."
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],
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"Diagram": [
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"An educational diagram of a supply chain process, with clear labels and vibrant, friendly illustrations.",
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"A business diagram showing the flow of information between departments in an organization, with modern icons and a clean layout.",
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"A conceptual diagram of a data pipeline, illustrating each step with simple, engaging visuals."
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],
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"Design": [
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"A sleek industrial design concept for a modern office chair, featuring ergonomic curves and minimalist aesthetics.",
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"A futuristic design for a high-tech smart conference room, blending modern materials with interactive displays.",
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"A creative product design for a smart coffee machine with a metallic finish and touch interface."
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]
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}
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def set_prompt(example_text):
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return example_text
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with gr.Blocks(css=css, title="비즈니스 에이전트 이미지 생성기") as demo:
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gr.Markdown(
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"""
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<div style="text-align:center;">
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<h1
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<p
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<p><strong>
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</div>
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"""
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)
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with gr.Row():
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#
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with gr.Column(scale=8):
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with gr.Tabs():
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with gr.Tab("Flowchart"):
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flow_prompt = gr.Textbox(label="Flowchart Prompt", placeholder="Enter a flowchart description...", lines=5)
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flow_generate = gr.Button("Generate Flowchart")
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flow_image = gr.Image(label="Generated Flowchart")
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with gr.Accordion("Example Prompts", open=False):
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for ex in example_prompts["Flowchart"]:
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gr.Button(ex, variant="secondary").click(fn=lambda ex=ex: set_prompt(ex), outputs=flow_prompt)
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with gr.Tab("Infographic"):
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info_prompt = gr.Textbox(label="Infographic Prompt", placeholder="Enter an infographic description...", lines=5)
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info_generate = gr.Button("Generate Infographic")
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info_image = gr.Image(label="Generated Infographic")
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with gr.Accordion("Example Prompts", open=False):
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for ex in example_prompts["Infographic"]:
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gr.Button(ex, variant="secondary").click(fn=lambda ex=ex: set_prompt(ex), outputs=info_prompt)
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with gr.Tab("Mockup"):
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mock_prompt = gr.Textbox(label="Mockup Prompt", placeholder="Enter a mockup description...", lines=5)
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mock_generate = gr.Button("Generate Mockup")
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mock_image = gr.Image(label="Generated Mockup")
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with gr.Accordion("Example Prompts", open=False):
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for ex in example_prompts["Mockup"]:
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gr.Button(ex, variant="secondary").click(fn=lambda ex=ex: set_prompt(ex), outputs=mock_prompt)
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with gr.Tab("Diagram"):
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diag_prompt = gr.Textbox(label="Diagram Prompt", placeholder="Enter a diagram description...", lines=5)
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diag_generate = gr.Button("Generate Diagram")
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diag_image = gr.Image(label="Generated Diagram")
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with gr.Accordion("Example Prompts", open=False):
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for ex in example_prompts["Diagram"]:
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gr.Button(ex, variant="secondary").click(fn=lambda ex=ex: set_prompt(ex), outputs=diag_prompt)
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## Design 탭
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with gr.Tab("Design"):
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des_prompt = gr.Textbox(label="Design Prompt", placeholder="Enter a design concept...", lines=5)
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des_generate = gr.Button("Generate Design")
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des_image = gr.Image(label="Generated Design")
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with gr.Accordion("Example Prompts", open=False):
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for ex in example_prompts["Design"]:
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gr.Button(ex, variant="secondary").click(fn=lambda ex=ex: set_prompt(ex), outputs=des_prompt)
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# 좌측 사이드바: 공통 생성 파라미터
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with gr.Sidebar(label="Parameters", open=True):
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gr.Markdown("### Generation Parameters")
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seed_slider = gr.Slider(label="Seed", minimum=0, maximum=MAX_SEED, step=1, value=42)
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randomize_seed = gr.Checkbox(label="Randomize Seed", value=True)
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width_slider = gr.Slider(label="Width", minimum=256, maximum=MAX_IMAGE_SIZE, step=32, value=1024)
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height_slider = gr.Slider(label="Height", minimum=256, maximum=MAX_IMAGE_SIZE, step=32, value=1024)
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steps_slider = gr.Slider(label="Inference Steps", minimum=1, maximum=50, step=1, value=20)
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guidance_slider = gr.Slider(label="Guidance Scale", minimum=0.0, maximum=15.0, step=0.5, value=7.5)
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#
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flow_generate.click(
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fn=generate_image,
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inputs=[flow_prompt, seed_slider, randomize_seed, width_slider, height_slider, steps_slider, guidance_slider],
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inputs=[diag_prompt, seed_slider, randomize_seed, width_slider, height_slider, steps_slider, guidance_slider],
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outputs=[diag_image, seed_slider]
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)
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des_generate.click(
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fn=generate_image,
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inputs=[des_prompt, seed_slider, randomize_seed, width_slider, height_slider, steps_slider, guidance_slider],
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outputs=[des_image, seed_slider]
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)
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if __name__ == "__main__":
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demo.queue()
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from diffusers import DiffusionPipeline
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import spaces
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# Basic settings
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dtype = torch.bfloat16
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device = "cuda" if torch.cuda.is_available() else "cpu"
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# Load model (FLUX.1-schnell)
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pipe = DiffusionPipeline.from_pretrained(
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"black-forest-labs/FLUX.1-schnell",
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torch_dtype=dtype
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).images[0]
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return image, seed
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def set_prompt(example_text):
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return example_text
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# Example prompts per tab (each with "AI Electric Bicycle", "Dog-shaped Toy Robot", "Drone")
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example_prompts = {
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"Product Design": [
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"A futuristic product design of an AI electric bicycle with modern aesthetics and advanced technology.",
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"A playful product design for a dog-shaped toy robot, cute and interactive.",
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"An innovative product design for a drone, sleek and highly functional."
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],
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"Flowchart": [
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"A flowchart outlining the design and development process for an AI electric bicycle—from concept to production.",
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"A flowchart detailing the workflow for designing a dog-shaped toy robot, from brainstorming to testing.",
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"A flowchart mapping out the design process for a drone, including ideation and final assembly."
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],
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"Infographic": [
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"An infographic presenting key statistics and design features of an AI electric bicycle, with modern icons and graphics.",
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"An infographic showing the design evolution of a dog-shaped toy robot, with sketches and key milestones.",
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"An infographic summarizing the innovative features of a drone design, with visual data and timelines."
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],
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"Mockup": [
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"A mockup sketch of an AI electric bicycle interface and dashboard, showcasing futuristic control panels.",
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"A mockup wireframe for a dog-shaped toy robot's app interface, highlighting playful interactions.",
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"A mockup of a drone's control system and layout, featuring modern UX elements."
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],
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"Diagram": [
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"A diagram illustrating the structural design and workflow of an AI electric bicycle, with clear stages and connections.",
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"A diagram outlining the components and design process of a dog-shaped toy robot, with labeled sections.",
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"A diagram showcasing the technical design and assembly process of a drone, with step-by-step visuals."
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]
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}
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# CSS style: prevent example Accordion from expanding into the sidebar
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css = """
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* {
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box-sizing: border-box;
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}
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body {
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background: linear-gradient(135deg, #667eea, #764ba2);
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font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif;
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margin: 40px auto;
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max-width: 1200px;
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}
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.sidebar {
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background: rgba(255, 255, 255, 0.98);
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border-radius: 10px;
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button:hover, .btn:hover {
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transform: scale(1.05);
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}
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.example-accordion {
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max-width: 100% !important;
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}
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"""
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with gr.Blocks(css=css, title="Business Agent") as demo:
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gr.Markdown(
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"""
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<div style="text-align:center;">
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<h1>Business Agent</h1>
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<p>Generate design concepts and workflow diagrams for your business needs using our multi-tab interface.</p>
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<p><strong>AI Spaces:</strong> Product Design, Flowchart, Infographic, Mockup, Diagram</p>
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</div>
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"""
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)
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with gr.Row():
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# Left sidebar: Common generation parameters
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with gr.Sidebar(label="Parameters", open=True):
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gr.Markdown("### Generation Parameters")
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seed_slider = gr.Slider(label="Seed", minimum=0, maximum=MAX_SEED, step=1, value=42)
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randomize_seed = gr.Checkbox(label="Randomize Seed", value=True)
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width_slider = gr.Slider(label="Width", minimum=256, maximum=MAX_IMAGE_SIZE, step=32, value=1024)
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height_slider = gr.Slider(label="Height", minimum=256, maximum=MAX_IMAGE_SIZE, step=32, value=1024)
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steps_slider = gr.Slider(label="Inference Steps", minimum=1, maximum=50, step=1, value=20)
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guidance_slider = gr.Slider(label="Guidance Scale", minimum=0.0, maximum=15.0, step=0.5, value=7.5)
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# Main area: Tabbed interface for different design types (first tab: Product Design)
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with gr.Column(scale=8):
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with gr.Tabs():
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# First tab: Product Design
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with gr.Tab("Product Design"):
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pd_prompt = gr.Textbox(label="Product Design Prompt", placeholder="Enter a product design concept...", lines=5)
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pd_generate = gr.Button("Generate Product Design")
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pd_image = gr.Image(label="Generated Product Design")
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with gr.Accordion("Example Prompts", open=False, elem_classes="example-accordion"):
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for ex in example_prompts["Product Design"]:
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gr.Button(ex, variant="secondary").click(fn=lambda ex=ex: set_prompt(ex), outputs=pd_prompt)
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# Second tab: Flowchart
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with gr.Tab("Flowchart"):
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flow_prompt = gr.Textbox(label="Flowchart Prompt", placeholder="Enter a flowchart description...", lines=5)
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flow_generate = gr.Button("Generate Flowchart")
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flow_image = gr.Image(label="Generated Flowchart")
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with gr.Accordion("Example Prompts", open=False, elem_classes="example-accordion"):
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for ex in example_prompts["Flowchart"]:
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gr.Button(ex, variant="secondary").click(fn=lambda ex=ex: set_prompt(ex), outputs=flow_prompt)
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# Third tab: Infographic
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with gr.Tab("Infographic"):
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info_prompt = gr.Textbox(label="Infographic Prompt", placeholder="Enter an infographic description...", lines=5)
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info_generate = gr.Button("Generate Infographic")
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info_image = gr.Image(label="Generated Infographic")
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with gr.Accordion("Example Prompts", open=False, elem_classes="example-accordion"):
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for ex in example_prompts["Infographic"]:
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gr.Button(ex, variant="secondary").click(fn=lambda ex=ex: set_prompt(ex), outputs=info_prompt)
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# Fourth tab: Mockup
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with gr.Tab("Mockup"):
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mock_prompt = gr.Textbox(label="Mockup Prompt", placeholder="Enter a mockup description...", lines=5)
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mock_generate = gr.Button("Generate Mockup")
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mock_image = gr.Image(label="Generated Mockup")
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with gr.Accordion("Example Prompts", open=False, elem_classes="example-accordion"):
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for ex in example_prompts["Mockup"]:
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gr.Button(ex, variant="secondary").click(fn=lambda ex=ex: set_prompt(ex), outputs=mock_prompt)
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# Fifth tab: Diagram
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with gr.Tab("Diagram"):
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diag_prompt = gr.Textbox(label="Diagram Prompt", placeholder="Enter a diagram description...", lines=5)
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diag_generate = gr.Button("Generate Diagram")
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diag_image = gr.Image(label="Generated Diagram")
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with gr.Accordion("Example Prompts", open=False, elem_classes="example-accordion"):
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for ex in example_prompts["Diagram"]:
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gr.Button(ex, variant="secondary").click(fn=lambda ex=ex: set_prompt(ex), outputs=diag_prompt)
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# Bind events for generation buttons
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pd_generate.click(
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fn=generate_image,
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inputs=[pd_prompt, seed_slider, randomize_seed, width_slider, height_slider, steps_slider, guidance_slider],
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outputs=[pd_image, seed_slider]
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)
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flow_generate.click(
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fn=generate_image,
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inputs=[flow_prompt, seed_slider, randomize_seed, width_slider, height_slider, steps_slider, guidance_slider],
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inputs=[diag_prompt, seed_slider, randomize_seed, width_slider, height_slider, steps_slider, guidance_slider],
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outputs=[diag_image, seed_slider]
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)
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if __name__ == "__main__":
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demo.queue()
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