app.py

import streamlit as st
import pandas as pd
import matplotlib.pyplot as plt

class SalaryTracker:
    def __init__(self, initial_salary):
        self.salary = initial_salary
        self.expenses = []
        self.data = pd.DataFrame({'Transaction': [], 'Salary': []})
        self.transaction_count = 0

    def add_expense(self, amount):
        self.expenses.append(amount)
        self.salary -= amount
        self.transaction_count += 1

    def deduct_expense(self, amount):
        self.expenses.append(-amount)
        self.salary += amount
        self.transaction_count += 1

    def update_data(self, transaction):
        new_data = pd.DataFrame({'Transaction': [f"Transaction {self.transaction_count} - {transaction}"], 'Salary': [self.salary]})
        self.data = pd.concat([self.data, new_data], ignore_index=True)

    def generate_report(self):
        return self.data

# Streamlit UI
st.title("Monthly Salary Tracker")
initial_salary = st.number_input("Enter your initial monthly salary:", min_value=0.0, value=0.0, key="initial_salary")

salary_tracker = SalaryTracker(initial_salary)

# Add or Deduct Expenses
col1, col2 = st.columns(2)
add_expense = col1.number_input("Add Expense", min_value=0.0, key="add_expense")
deduct_expense = col2.number_input("Deduct Expense", min_value=0.0, key="deduct_expense")

if st.button("Add Expense"):
    if add_expense > 0:
        salary_tracker.add_expense(add_expense)
        salary_tracker.update_data("Credit")

if st.button("Deduct Expense"):
    if deduct_expense > 0:
        salary_tracker.deduct_expense(deduct_expense)
        salary_tracker.update_data("Debit")

# Display Salary Data
st.subheader("Salary History")
if not salary_tracker.data.empty:
    st.dataframe(salary_tracker.data)

# Generate and Display Graph
if not salary_tracker.data.empty:
    plt.figure(figsize=(10, 5))
    plt.plot(salary_tracker.data['Transaction'], salary_tracker.data['Salary'], marker='o')
    plt.title("Salary History Over Transactions")
    plt.xlabel("Transactions")
    plt.ylabel("Salary")
    st.pyplot(plt)