import gradio as gr
from .utils import rag_generate

# ---------------------------------------------------------------------
# Gradio Interface with MCP support
# ---------------------------------------------------------------------
ui = gr.Interface(
    fn=rag_generate,
    inputs=[
        gr.Textbox(
            label="Query", 
            lines=2, 
            placeholder="What would you like to know?",
            info="Enter your question here"
        ),
        gr.Textbox(
            label="Context", 
            lines=8, 
            placeholder="Paste relevant documents or context here...",
            info="Provide the context/documents to use for answering"
        ),
    ],
    outputs=gr.Textbox(
        label="Generated Answer",
        lines=6,
        show_copy_button=True
    ),
    title="RAG Generation Service",
    description="Ask questions based on provided context. Intended for use in RAG pipelines (i.e. context supplied by semantic retriever service) as an MCP server.",
)

# Launch with MCP server enabled
if __name__ == "__main__":
    ui.launch(
        server_name="0.0.0.0",
        server_port=7860,
        mcp_server=True,
        show_error=True
    )