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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()