import gradio as gr

def get_theory():
    """
    This function is a placeholder for the actual logic that would analyze the input text
    and return relevant information about quantum circuits.
    """
    return {
        "message": "This is a placeholder response. Implement your logic here.",
        "status": "success"
    }
    
# Create the Gradio interface
demo = gr.Interface(
    fn=get_theory,
    inputs=gr.Textbox(placeholder="Enter text to analyze..."),
    outputs=gr.JSON(),
    title="Quantum circuits learning programme",
    description="Learn about quantum circuits through this interactive chatbot.",
)

# Launch the interface and MCP server
if __name__ == "__main__":
    demo.launch(mcp_server=True)