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| import gradio as gr | |
| import random | |
| def generate_app(image): | |
| # Placeholder function for app generation | |
| # In a real scenario, this would involve image analysis and code generation | |
| components = ["Header", "Sidebar", "MainContent", "Footer"] | |
| code = f""" | |
| import React from 'react'; | |
| import {{ {', '.join(components)} }} from './components'; | |
| function App() {{ | |
| return ( | |
| <div className="app"> | |
| {' '.join(f'<{component} />' for component in components)} | |
| </div> | |
| ); | |
| }} | |
| export default App; | |
| """ | |
| return code | |
| with gr.Blocks() as demo: | |
| gr.Markdown("# Turn your wireframe into an app") | |
| gr.Markdown("Upload an image of your website design and we'll build it for you with React + Tailwind.") | |
| with gr.Row(): | |
| with gr.Column(scale=2): | |
| with gr.Row(): | |
| napkin_img = gr.Image(value="path/to/napkin_sketch.png", label="Napkin") | |
| react_img = gr.Image(value="path/to/react_app.png", label="React app") | |
| file_output = gr.File(label="Download React App") | |
| with gr.Column(): | |
| image_input = gr.Image(label="Upload a screenshot", elem_id="image_upload") | |
| example_link = gr.Markdown("Need an example image? [Try ours](#).") | |
| model_dropdown = gr.Dropdown( | |
| choices=["Llama 3.2 90B Vision", "Other models..."], | |
| value="Llama 3.2 90B Vision", | |
| label="AI Model" | |
| ) | |
| generate_button = gr.Button("Generate app", variant="primary") | |
| code_output = gr.Code(language="javascript", label="Generated React Code") | |
| generate_button.click( | |
| fn=generate_app, | |
| inputs=[image_input], | |
| outputs=[code_output, file_output] | |
| ) | |
| demo.launch() |