app.py

import gradio as gr
import pandas as pd
import os
from datetime import datetime

DB_FILE = "medical_db.csv"

# --- DATABASE ---
def init_db():
    if not os.path.exists(DB_FILE):
        df = pd.DataFrame(columns=["Date", "Name", "Plan_Type", "Subscription", "Dependents", "Premium", "Income", "Currency"])
        df.to_csv(DB_FILE, index=False)

def save_enrollment(name, plan_type, sub_plan, dependents, premium, income, currency):
    init_db()
    new_entry = {
        "Date": datetime.now().strftime("%Y-%m-%d"),
        "Name": name,
        "Plan_Type": plan_type,
        "Subscription": sub_plan,
        "Dependents": dependents,
        "Premium": premium,
        "Income": income,
        "Currency": currency
    }

    df = pd.read_csv(DB_FILE)
    df = pd.concat([df, pd.DataFrame([new_entry])], ignore_index=True)
    df.to_csv(DB_FILE, index=False)

    return f"✅ Enrollment Successful for {name}!"

def search_db(name_query):
    if not os.path.exists(DB_FILE):
        return pd.DataFrame()

    df = pd.read_csv(DB_FILE)

    if not name_query:
        return df

    result = df[df['Name'].str.contains(name_query, case=False, na=False)]

    return result

# --- LOGIC ---
CURRENCIES = {"USD ($)": 1.0, "EUR (€)": 0.92, "INR (₹)": 83.0, "GBP (£)": 0.79}
SUB_MULTIPLIERS = {"Normal": 1.0, "Medium": 1.5, "High": 2.2}
CATEGORY_MULT = {"Individual": 1.0, "Family": 1.8, "Senior Citizen": 2.0, "Student": 0.7}

def process_insurance(name, age, income, currency, plan_type, sub_plan, dependents, smoker, enroll):
    if not name or income is None:
        return "⚠️ Name and Income are required."

    rate = CURRENCIES.get(currency, 1.0)
    symbol = currency.split("(")[1].replace(")", "")

    base = (1500 + (age * 15))
    risk_m = 3.5 if smoker == "Yes" else 1.0

    final_premium = (
        base
        * risk_m
        * CATEGORY_MULT[plan_type]
        * SUB_MULTIPLIERS[sub_plan]
        * (1 + (dependents * 0.25))
        * rate
    )

    report = f"""
## Quote for {name}
**Plan:** {sub_plan} {plan_type}  
**Premium:** {symbol}{final_premium:,.2f}
"""

    if enroll == "Yes":
        msg = save_enrollment(name, plan_type, sub_plan, dependents,
                              f"{symbol}{final_premium:,.2f}", income, currency)
        report += f"\n{msg}"

    return report

# --- UI ---
with gr.Blocks() as demo:
    gr.Markdown("# 🏥 MEDICAL INSURANCE SYSTEM")

    with gr.Tabs():

        with gr.TabItem("REGISTER & QUOTE"):
            name = gr.Textbox(label="Name")
            age = gr.Number(label="Age", value=25)
            income = gr.Number(label="Income")

            currency = gr.Dropdown(list(CURRENCIES.keys()), value="USD ($)", label="Currency")
            plan = gr.Dropdown(list(CATEGORY_MULT.keys()), value="Individual", label="Plan Type")
            sub = gr.Dropdown(list(SUB_MULTIPLIERS.keys()), value="Normal", label="Subscription")
            dep = gr.Slider(0, 10, value=0, step=1, label="Dependents")

            smoker = gr.Dropdown(["No", "Yes"], value="No", label="Smoker")
            enroll = gr.Dropdown(["No", "Yes"], value="No", label="Enroll")

            btn = gr.Button("Calculate")
            output = gr.Markdown()

            btn.click(process_insurance,
                      inputs=[name, age, income, currency, plan, sub, dep, smoker, enroll],
                      outputs=output)

        with gr.TabItem("SEARCH"):
            search = gr.Textbox(label="Search Name")
            btn2 = gr.Button("Search")
            table = gr.Dataframe()

            btn2.click(search_db, inputs=search, outputs=table)

# IMPORTANT
demo.queue()
demo.launch()