Create app.py

app.py

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+import streamlit as st
+import pandas as pd
+import matplotlib.pyplot as plt
+from datetime import date
+
+from llm_utils import analyze_expenses_with_llm
+
+st.set_page_config(page_title="AI Expense Analyzer", layout="wide")
+
+st.title("💸 AI Expense Analyzer")
+st.write("Track expenses and get AI-powered insights using Grok")
+
+# -------------------------
+# Session State
+# -------------------------
+if "expenses" not in st.session_state:
+    st.session_state.expenses = pd.DataFrame(
+        columns=["Date", "Category", "Amount", "Description"]
+    )
+
+# -------------------------
+# Expense Form
+# -------------------------
+st.subheader("➕ Add Expense")
+
+with st.form("expense_form"):
+    expense_date = st.date_input("Date", value=date.today())
+
+    category = st.selectbox(
+        "Category",
+        ["Food", "Transport", "Shopping", "Bills", "Entertainment", "Other"]
+    )
+
+    amount = st.number_input("Amount", min_value=0.0, step=1.0)
+
+    description = st.text_input("Description")
+
+    submitted = st.form_submit_button("Add Expense")
+
+    if submitted:
+        new_row = {
+            "Date": expense_date,
+            "Category": category,
+            "Amount": amount,
+            "Description": description,
+        }
+
+        st.session_state.expenses = pd.concat(
+            [st.session_state.expenses, pd.DataFrame([new_row])],
+            ignore_index=True
+        )
+
+        st.success("Expense added successfully!")
+
+# -------------------------
+# Expense Table
+# -------------------------
+st.subheader("📋 Expense History")
+st.dataframe(st.session_state.expenses, use_container_width=True)
+
+if st.session_state.expenses.empty:
+    st.info("Add expenses to see charts and AI analysis.")
+    st.stop()
+
+# -------------------------
+# Charts
+# -------------------------
+st.subheader("📊 Expense Analysis")
+
+col1, col2 = st.columns(2)
+
+with col1:
+    category_sum = st.session_state.expenses.groupby("Category")["Amount"].sum()
+    fig, ax = plt.subplots()
+    category_sum.plot(kind="bar", ax=ax)
+    st.pyplot(fig)
+
+with col2:
+    fig2, ax2 = plt.subplots()
+    ax2.pie(category_sum, labels=category_sum.index, autopct="%1.1f%%")
+    ax2.axis("equal")
+    st.pyplot(fig2)
+
+# -------------------------
+# Trend Chart
+# -------------------------
+st.write("### Spending Trend")
+trend_df = st.session_state.expenses.copy()
+trend_df["Date"] = pd.to_datetime(trend_df["Date"])
+trend_df = trend_df.groupby("Date")["Amount"].sum()
+
+fig3, ax3 = plt.subplots()
+ax3.plot(trend_df.index, trend_df.values, marker="o")
+st.pyplot(fig3)
+
+# -------------------------
+# AI Analysis
+# -------------------------
+st.subheader("🤖 AI Expense Insights")
+
+if st.button("Analyze My Expenses"):
+    with st.spinner("Analyzing your expenses..."):
+        insights = analyze_expenses_with_llm(st.session_state.expenses)
+        st.markdown(insights)