Create app.py

app.py

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+import streamlit as st
+import pandas as pd
+
+# Page config
+st.set_page_config(page_title="Business Expense Tracker", layout="centered")
+
+st.title("💰 Small Business Expense Tracker")
+
+# Initialize session state for storing data
+if "records" not in st.session_state:
+    st.session_state.records = []
+
+# Input section
+st.subheader("Enter Daily Record")
+date = st.date_input("Date")
+sales = st.number_input("Sales (₹)", min_value=0.0, step=100.0)
+expenses = st.number_input("Expenses (₹)", min_value=0.0, step=100.0)
+
+if st.button("Add Record"):
+    profit = sales - expenses
+    st.session_state.records.append({"Date": date, "Sales": sales, "Expenses": expenses, "Profit": profit})
+    st.success(f"Record added: Profit = ₹{profit:.2f}")
+
+# Display table if records exist
+if st.session_state.records:
+    df = pd.DataFrame(st.session_state.records)
+    
+    st.subheader("📊 Expense Records")
+    st.dataframe(df, use_container_width=True)
+    
+    # Summary
+    st.subheader("📈 Summary")
+    total_sales = df["Sales"].sum()
+    total_expenses = df["Expenses"].sum()
+    total_profit = df["Profit"].sum()
+    
+    st.write(f"*Total Sales:* ₹{total_sales:.2f}")
+    st.write(f"*Total Expenses:* ₹{total_expenses:.2f}")
+    st.write(f"*Total Profit:* ₹{total_profit:.2f}")
+    
+    # Chart
+    st.line_chart(df.set_index("Date")[["Sales", "Expenses", "Profit"]])