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c632215 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 | import streamlit as st
import pandas as pd
import os
import plotly.express as px
from datetime import datetime
# -------------------------------
# CONFIG & STYLES
# -------------------------------
st.set_page_config(page_title="πΈ Expense Tracker", layout="wide")
st.markdown(
"""
<style>
body {
background-color: #f8f9fa;
}
.title {
font-size: 40px;
font-weight: bold;
color: #2c3e50;
text-align: center;
margin-bottom: 10px;
}
.subtitle {
font-size: 18px;
color: #7f8c8d;
text-align: center;
margin-bottom: 30px;
}
.metric-card {
background: black;
padding: 20px;
border-radius: 15px;
text-align: center;
box-shadow: 0px 2px 6px rgba(0,0,0,0.1);
}
</style>
""",
unsafe_allow_html=True,
)
# -------------------------------
# FILE SETUP
# -------------------------------
CSV_FILE = "expenses.csv"
if not os.path.exists(CSV_FILE):
df = pd.DataFrame(columns=["date", "category", "amount", "description"])
df.to_csv(CSV_FILE, index=False)
# -------------------------------
# LOAD DATA
# -------------------------------
df = pd.read_csv(CSV_FILE)
# -------------------------------
# SIDEBAR NAVIGATION
# -------------------------------
st.sidebar.title("π Navigation")
page = st.sidebar.radio("Go to", ["β Add Expense", "π Dashboard", "π Expense Table"])
st.sidebar.markdown("---")
st.sidebar.write("π‘ Tip: Use filters to explore your expenses easily!")
# -------------------------------
# PAGE: ADD EXPENSE
# -------------------------------
if page == "β Add Expense":
st.markdown("<div class='title'>Add New Expense</div>", unsafe_allow_html=True)
with st.form("expense_form", clear_on_submit=True):
col1, col2 = st.columns(2)
with col1:
date = st.date_input("Date", datetime.today())
category = st.selectbox("Category", ["Food", "Transport", "Bills", "Entertainment", "Other"])
with col2:
amount = st.number_input("Amount", min_value=0.0, step=0.01)
description = st.text_input("Description")
submitted = st.form_submit_button("πΎ Save Expense")
if submitted:
new_expense = pd.DataFrame(
[[date, category, amount, description]],
columns=["date", "category", "amount", "description"],
)
new_expense.to_csv(CSV_FILE, mode="a", header=False, index=False)
st.success("β
Expense saved successfully!")
# -------------------------------
# PAGE: DASHBOARD
# -------------------------------
elif page == "π Dashboard":
st.markdown("<div class='title'>Expense Dashboard</div>", unsafe_allow_html=True)
st.markdown("<div class='subtitle'>Visualize your spending habits</div>", unsafe_allow_html=True)
if df.empty:
st.warning("β οΈ No data available yet. Add some expenses first.")
else:
# Metrics Row
col1, col2, col3 = st.columns(3)
with col1:
st.markdown(f"<div class='metric-card'><h3>Total Spent</h3><p>Rs {df['amount'].sum():,.2f}</p></div>", unsafe_allow_html=True)
with col2:
top_cat = df.groupby("category")["amount"].sum().idxmax()
st.markdown(f"<div class='metric-card'><h3>Top Category</h3><p>{top_cat}</p></div>", unsafe_allow_html=True)
with col3:
avg = df["amount"].mean()
st.markdown(f"<div class='metric-card'><h3>Avg. Expense</h3><p>Rs {avg:,.2f}</p></div>", unsafe_allow_html=True)
st.markdown("---")
# Charts
col1, col2 = st.columns(2)
with col1:
fig1 = px.pie(df, names="category", values="amount", title="Expenses by Category", hole=0.4)
st.plotly_chart(fig1, use_container_width=True)
with col2:
df["date"] = pd.to_datetime(df["date"])
fig2 = px.line(df, x="date", y="amount", title="Expenses Over Time", markers=True)
st.plotly_chart(fig2, use_container_width=True)
# -------------------------------
# PAGE: EXPENSE TABLE
# -------------------------------
elif page == "π Expense Table":
st.markdown("<div class='title'>Expense Records</div>", unsafe_allow_html=True)
if df.empty:
st.warning("β οΈ No expenses found. Add some first.")
else:
with st.expander("π Filters", expanded=True):
col1, col2 = st.columns(2)
with col1:
categories = st.multiselect("Filter by Category", df["category"].unique())
with col2:
date_range = st.date_input("Filter by Date Range", [])
filtered = df.copy()
if categories:
filtered = filtered[filtered["category"].isin(categories)]
if date_range:
if len(date_range) == 2:
start, end = date_range
filtered = filtered[(pd.to_datetime(filtered["date"]) >= pd.to_datetime(start)) &
(pd.to_datetime(filtered["date"]) <= pd.to_datetime(end))]
st.dataframe(filtered, use_container_width=True)
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