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Update app.py

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  1. app.py +14 -116
app.py CHANGED
@@ -1,118 +1,16 @@
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- import gradio as gr
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- import os
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- # Custom CSS for better styling
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- custom_css = """
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- .gradio-container {
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- font-family: 'IBM Plex Sans', sans-serif;
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- }
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- .generate-btn {
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- background: rgb(99, 102, 241) !important;
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- color: white !important;
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- border: none !important;
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- }
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- .generate-btn:hover {
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- background: rgb(67, 56, 202) !important;
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- transform: translateY(-2px);
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- transition: all 0.2s;
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- }
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- .container {
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- max-width: 900px;
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- margin: 0 auto;
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- padding: 20px;
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- }
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- .tips {
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- background: #f0f9ff;
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- padding: 20px;
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- border-radius: 10px;
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- margin: 20px 0;
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- border: 1px solid #bae6fd;
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- }
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- """
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- # Example prompts for the dropdown
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- example_prompts = [
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- "A magical forest at twilight with glowing mushrooms, digital art style",
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- "A futuristic cityscape with flying cars, neon lights, cyberpunk style",
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- "A cozy cafe interior with steam rising from coffee cups, warm lighting",
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- "An underwater scene with bioluminescent creatures, deep sea atmosphere",
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- "A steampunk-inspired flying machine in the clouds, vintage style"
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- ]
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-
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- def generate_image(prompt):
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- # This is where you'd integrate with the Black Forest Labs model
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- # For now, we'll just create an iframe to their space
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- iframe_html = f'<iframe src="https://black-forest-labs-flux-1-dev.hf.space" frameborder="0" width="100%" height="450"></iframe>'
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- return iframe_html
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-
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- # Create the Gradio interface
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- with gr.Blocks(css=custom_css) as demo:
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- gr.HTML("<div class='container'>")
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- gr.HTML("""
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- <header style="text-align: center; margin-bottom: 2rem;">
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- <h1 style="font-size: 2.5rem; color: rgb(99, 102, 241); margin-bottom: 1rem;">
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- AI Image Generator
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- </h1>
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- <p style="color: #6b7280; font-size: 1.1rem;">
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- Create amazing AI-generated images with Stable Diffusion
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- </p>
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- <p style="color: #6b7280;">
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- Powered by Black Forest Labs
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- </p>
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- </header>
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- """)
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-
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- with gr.Column():
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- # Add example prompts dropdown
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- prompt_dropdown = gr.Dropdown(
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- choices=example_prompts,
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- label="Example Prompts (Click to use)",
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- info="Select a prompt to try out"
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- )
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-
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- # Text input for the prompt
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- prompt_input = gr.Textbox(
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- label="Enter your prompt",
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- placeholder="Describe the image you want to generate...",
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- lines=3
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- )
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-
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- # Generate button
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- generate_btn = gr.Button("Generate Image", elem_classes=["generate-btn"])
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-
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- # Output area for the iframe
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- output = gr.HTML()
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-
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- # Tips section
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- gr.HTML("""
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- <div class="tips">
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- <h2 style="font-size: 1.25rem; color: #0369a1; margin-bottom: 1rem;">
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- Tips for Best Results
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- </h2>
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- <ul style="list-style-type: disc; padding-left: 1.5rem; color: #0c4a6e;">
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- <li>Be specific in your descriptions - include details about style, mood, and composition</li>
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- <li>Try adding artistic styles like "oil painting", "watercolor", or "digital art"</li>
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- <li>Include lighting descriptions like "sunset", "studio lighting", or "moonlight"</li>
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- <li>Experiment with different perspectives: "close-up", "aerial view", or "wide angle"</li>
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- <li>Add quality enhancers like "highly detailed", "4K", or "professional photography"</li>
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- </ul>
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- </div>
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- """)
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-
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- gr.HTML("</div>")
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-
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- # Set up event handlers
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- prompt_dropdown.change(
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- lambda x: x,
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- inputs=prompt_dropdown,
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- outputs=prompt_input
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- )
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-
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- generate_btn.click(
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- generate_image,
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- inputs=prompt_input,
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- outputs=output
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- )
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-
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- # Launch the app
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- demo.launch()
 
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+ ```
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+ import { Client } from "@gradio/client";
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+ const client = await Client.connect("black-forest-labs/FLUX.1-dev");
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+ const result = await client.predict("/infer", {
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+ prompt: "Hello!!",
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+ seed: 0,
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+ randomize_seed: true,
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+ width: 256,
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+ height: 256,
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+ guidance_scale: 1,
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+ num_inference_steps: 1,
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+ });
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ console.log(result.data); usse this instead
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+ ```