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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() |