src/streamlit_app.py

import streamlit as st
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

# =============================
# Branding Colors
# =============================
PRIMARY_COLOR = "#0F2C59"   # Procelevate navy
ACCENT_COLOR = "#FFD700"    # Gold highlight
BG_COLOR = "#F5F5F5"        # Light background

# =============================
# Page Config
# =============================
st.set_page_config(
    page_title="Unified School AI Platform - Procelevate",
    page_icon="🏫",
    layout="wide"
)

# =============================
# Sidebar Branding
# =============================
st.sidebar.image("src/procelevate_logo.png", width=180)
st.sidebar.markdown(
    f"""
    <h2 style='color:{PRIMARY_COLOR};'>🚀 Procelevate Academy</h2>
    <p style='font-size:16px;'>One platform for Schools: Inquiry, Finance, Admin, Facilities, Teachers, Dashboard.</p>
    """,
    unsafe_allow_html=True
)

# =============================
# Tabs
# =============================
tab1, tab2, tab3, tab4, tab5, tab6 = st.tabs(
    ["📥 Inquiries", "💰 Finance", "🗂 Admin", "🏢 Facilities", "👩‍🏫 Teachers", "📊 Dashboard"]
)

# --- Inquiries ---
with tab1:
    st.header("📥 Inquiry Management")
    st.write("Track student/parent inquiries easily.")
    st.dataframe(pd.DataFrame({
        "Name": ["Arjun", "Sneha", "Rahul"],
        "Grade Applied": [6, 9, 4],
        "Status": ["Pending", "Follow-up", "Closed"]
    }))

# --- Finance ---
with tab2:
    st.header("💰 Finance")
    st.write("Manage fees, collections, and dues.")
    finance_data = pd.DataFrame({
        "Month": ["June", "July", "August"],
        "Collected": [250000, 270000, 300000],
        "Pending": [20000, 15000, 10000]
    })
    st.bar_chart(finance_data.set_index("Month"))

# --- Admin ---
with tab3:
    st.header("🗂 Administration")
    st.write("Maintain staff, student records, and compliance.")
    st.dataframe(pd.DataFrame({
        "Staff": ["John", "Meera", "Kavya"],
        "Role": ["Principal", "Admin Head", "Clerk"],
        "Status": ["Active", "Active", "On Leave"]
    }))

# --- Facilities ---
with tab4:
    st.header("🏢 Facilities")
    st.write("Track school assets and maintenance schedules.")
    st.dataframe(pd.DataFrame({
        "Facility": ["Classroom A1", "Lab 1", "Playground"],
        "Condition": ["Good", "Needs Repair", "Excellent"],
        "Next Maintenance": ["Oct 2025", "Sep 2025", "Nov 2025"]
    }))

# --- Teachers ---
with tab5:
    st.header("👩‍🏫 Teacher Management")
    st.write("Monitor teacher workloads and availability.")
    st.dataframe(pd.DataFrame({
        "Teacher": ["Anita", "Rajesh", "Fatima"],
        "Subject": ["Math", "Science", "English"],
        "Load %": [75, 60, 80]
    }))

# --- Dashboard ---
with tab6:
    st.header("📊 Management Dashboard")
    st.write("School snapshot for founders and management.")

    col1, col2, col3 = st.columns(3)
    with col1:
        st.metric("Total Students", "1,200", "+50 since last month")
    with col2:
        st.metric("Fee Collection", "₹30,00,000", "+10% growth")
    with col3:
        st.metric("Teachers", "80", "2 new hires")

    st.subheader("Enrollment Trend")
    enrollment = pd.DataFrame({
        "Month": ["June", "July", "August", "September"],
        "Students": [1150, 1175, 1190, 1200]
    })
    st.line_chart(enrollment.set_index("Month"))

st.markdown(
    f"""
    <hr>
    <p style='text-align:center; color:{PRIMARY_COLOR}; font-size:14px;'>
    © 2025 Procelevate Consulting | Elevating Education with AI 🚀
    </p>
    """,
    unsafe_allow_html=True
)