"""MiniFam — a local AI family assistant. Gradio entry point (Hugging Face Space).

Run locally:   source .venv/bin/activate && python app.py
Then open the printed http://127.0.0.1:7860 URL.
"""

import gradio as gr

from minifam import agent, config


def respond(user_msg, display_history, raw_messages, member):
    """Handle one chat submission."""
    user_msg = (user_msg or "").strip()
    if not user_msg:
        return display_history, raw_messages, ""

    raw_messages = raw_messages + [{"role": "user", "content": user_msg}]
    try:
        reply, raw_messages = agent.run_agent(raw_messages, member)
    except Exception as e:
        reply = (
            f"⚠️ Could not reach the model ({e}).\n\n"
            "Is Ollama running and is the model pulled? Try: `ollama run qwen3:30b`"
        )

    display_history = display_history + [
        {"role": "user", "content": user_msg},
        {"role": "assistant", "content": reply},
    ]
    return display_history, raw_messages, ""


def switch_member(_member):
    """Start a fresh conversation when the active member changes."""
    return [], []


with gr.Blocks(title="MiniFam") as demo:
    gr.Markdown(
        "# 🏡 MiniFam\n"
        "Your family's assistant — runs entirely on your own computer."
    )

    _names = config.member_names()
    member = gr.Dropdown(
        choices=_names,
        value=_names[0] if _names else None,
        label="Who's talking?",
    )

    chatbot = gr.Chatbot(height=460, label="MiniFam")
    raw_state = gr.State([])  # full model conversation (incl. tool calls)

    msg = gr.Textbox(
        placeholder="e.g. Remind me to buy milk tomorrow  ·  What are my notes?",
        label="Message",
        autofocus=True,
    )

    msg.submit(
        respond,
        inputs=[msg, chatbot, raw_state, member],
        outputs=[chatbot, raw_state, msg],
    )
    member.change(switch_member, inputs=member, outputs=[chatbot, raw_state])


if __name__ == "__main__":
    demo.launch(theme=gr.themes.Soft())