Create app.py

app.py

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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({'Month': [], 'Salary': []})
+
+    def add_expense(self, amount):
+        self.expenses.append(amount)
+        self.salary -= amount
+
+    def deduct_expense(self, amount):
+        self.expenses.append(-amount)
+        self.salary += amount
+
+    def update_data(self, month):
+        self.data = self.data.append({'Month': month, 'Salary': self.salary}, 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.beta_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)
+        month = st.text_input("Enter the month and year (e.g., 'Oct 2023'):", key="month")
+        salary_tracker.update_data(month)
+
+if st.button("Deduct Expense"):
+    if deduct_expense > 0:
+        salary_tracker.deduct_expense(deduct_expense)
+        month = st.text_input("Enter the month and year (e.g., 'Oct 2023'):", key="month")
+        salary_tracker.update_data(month)
+
+# 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['Month'], salary_tracker.data['Salary'], marker='o')
+    plt.title("Salary History Over Time")
+    plt.xlabel("Month and Year")
+    plt.ylabel("Salary")
+    st.pyplot(plt)
+