import gradio as gr
import pandas as pd

# Load your data
df = pd.read_csv("final_recommendations.csv")

def get_recommendation(book):
    row = df[df["title"] == book].iloc[0]
    
    return f"""
    📘 Title: {row['title']}
    
    💰 Price: {row['price_gbp']}
    📊 Revenue: {row['total_revenue']}
    
    🤖 Recommendation:
    {row['recommendation']}
    """

app = gr.Interface(
    fn=get_recommendation,
    inputs=gr.Dropdown(df["title"].tolist()),
    outputs="text",
    title="📚 AI Book Pricing Assistant",
    description="Select a book to see pricing recommendations."
)

app.launch()