import gradio as gr
from product_recommender import DynamicRecommender
import asyncio

async def get_recommendations(text: str) -> dict:
    try:
        recommender = DynamicRecommender()
        recommendations = await recommender.get_recommendations(text)
        return {"recommendations": recommendations}
    except Exception as e:
        return {"error": str(e)}

demo = gr.Interface(
    fn=lambda x: asyncio.run(get_recommendations(x)),
    inputs=gr.Textbox(
        lines=3,
        placeholder="Describe who you're buying a gift for (age, interests, etc.)"
    ),
    outputs=gr.JSON(),
    title="🎁 Smart Gift Recommender",
    description="Get personalized gift suggestions with real-time price comparison!"
)

if __name__ == "__main__":
    # Run on all interfaces and port 7860 by default
    demo.launch(server_name="0.0.0.0", server_port=7860)
else:
    app = demo.app