Code Editor for app.py

import streamlit as st
from datetime import datetime
import pandas as pd

st.title("Gold Investment Calculator")

# Input section
col1, col2 = st.columns(2)

with col1:
    gold_tola = st.number_input("Amount of Gold (in tolas)", min_value=0.0, step=0.1)
    buy_date = st.date_input("Date when bought")
    buy_price = st.number_input("Price per tola when bought (in your currency)", min_value=0.0)

with col2:
    current_price = st.number_input("Current price per tola (in your currency)", min_value=0.0)
    current_date = st.date_input("Current date")

if st.button("Calculate Returns"):
    if buy_date >= current_date:
        st.error("Buy date must be before current date!")
    else:
        # Calculate total investment and current value
        total_investment = gold_tola * buy_price
        current_value = gold_tola * current_price
        
        # Calculate total profit
        total_profit = current_value - total_investment
        
        # Calculate time difference
        date_diff = (current_date - buy_date)
        total_days = date_diff.days
        total_months = total_days / 30.44  # average days in a month
        
        # Calculate average earnings
        avg_monthly_earning = total_profit / total_months if total_months > 0 else 0
        avg_daily_earning = total_profit / total_days if total_days > 0 else 0
        
        # Display results
        st.markdown("### Results")
        
        results_df = pd.DataFrame({
            'Metric': ['Total Investment', 'Current Value', 'Total Profit', 
                      'Average Monthly Earning', 'Average Daily Earning'],
            'Value': [
                f"{total_investment:,.2f}",
                f"{current_value:,.2f}",
                f"{total_profit:,.2f}",
                f"{avg_monthly_earning:,.2f}",
                f"{avg_daily_earning:,.2f}"
            ]
        })
        
        st.table(results_df)
        
        # Additional insights
        profit_percentage = (total_profit / total_investment) * 100
        st.markdown(f"### Investment Insights")
        st.write(f"Total time period: {total_days} days ({total_months:.1f} months)")
        st.write(f"Return on Investment: {profit_percentage:.2f}%")
        
        if profit_percentage > 0:
            st.success("Your investment has generated positive returns! 📈")
        elif profit_percentage < 0:
            st.error("Your investment is currently at a loss. 📉")
        else:
            st.info("Your investment value remains unchanged. 📊")