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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)
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