app.py

import streamlit as st
import pandas as pd

from calculations import calculate_roi
from ai_synopsis import generate_synopsis
from pdf_generator import generate_pdf
from email_sender import send_email


# ====================================
# PAGE CONFIG
# ====================================

st.set_page_config(
    page_title="AI ROI Calculator",
    layout="wide"
)


# ====================================
# TITLE
# ====================================

st.title("AI ROI Calculator")

st.markdown(
    "Generate ROI savings reports with AI-powered synopsis"
)

st.divider()


# ====================================
# CUSTOMER DETAILS
# ====================================

st.subheader("Customer Details")

customer_name = st.text_input("Full Name")

customer_email = st.text_input("Email Address")

company_name = st.text_input("Company Name")

phone_number = st.text_input("Phone Number")

st.divider()


# ====================================
# MAIN LAYOUT
# ====================================

col1, col2 = st.columns(2)


# ====================================
# LEFT COLUMN
# ====================================

with col1:

    st.subheader("Business Inputs")

    industry = st.selectbox(
        "Select Industry",
        [
            "Retail",
            "Healthcare",
            "Manufacturing",
            "Logistics",
            "Education",
        ]
    )

    num_assets = st.number_input(
        "Number of Assets",
        min_value=1,
        value=1000,
    )

    asset_value = st.number_input(
        "Average Asset Value",
        min_value=1,
        value=150,
    )

    num_employees = st.number_input(
        "Number of Employees",
        min_value=1,
        value=10,
    )

    employee_salary = st.number_input(
        "Annual Employee Salary",
        min_value=1,
        value=32800,
    )

    productivity_gain_percent = st.slider(
        "Productivity Gain (%)",
        1,
        100,
        10,
    )

    audit_days = st.number_input(
        "Audit Days Per Year",
        min_value=1,
        value=2,
    )

    auditors = st.number_input(
        "Number of Auditors",
        min_value=1,
        value=3,
    )

    auditor_cost = st.number_input(
        "Daily Auditor Cost",
        min_value=1,
        value=1500,
    )


# ====================================
# RIGHT COLUMN
# ====================================

with col2:

    st.subheader("ROI Results")

    roi_data = calculate_roi(
        num_assets,
        asset_value,
        num_employees,
        employee_salary,
        productivity_gain_percent,
        audit_days,
        auditors,
        auditor_cost,
    )

    df = pd.DataFrame(
        roi_data.items(),
        columns=["Category", "Amount"]
    )

    st.dataframe(df)

    st.metric(
        label="Total Annual Savings",
        value=f"INR {roi_data['Total Savings']}"
    )


st.divider()


# ====================================
# GENERATE REPORT BUTTON
# ====================================

if st.button("Generate AI Report"):

    # ====================================
    # VALIDATION
    # ====================================

    if (
        not customer_name.strip()
        or not customer_email.strip()
        or not company_name.strip()
        or not phone_number.strip()
    ):

        st.error("Please fill all customer details.")

    else:

        with st.spinner("Generating AI Synopsis..."):

            # ====================================
            # USER DATA
            # ====================================

            user_data = {
                "Customer Name": customer_name,
                "Customer Email": customer_email,
                "Company Name": company_name,
                "Phone Number": phone_number,
                "Industry": industry,
                "Number of Assets": num_assets,
                "Average Asset Value": asset_value,
                "Employees": num_employees,
            }

            # ====================================
            # AI DATA
            # ====================================

            ai_data = {
                "industry": industry,
                "num_assets": num_assets,
                "asset_value": asset_value,
                "num_employees": num_employees,
                "total_savings": roi_data['Total Savings'],
            }

            # ====================================
            # GENERATE AI SYNOPSIS
            # ====================================

            synopsis = generate_synopsis(ai_data)

            st.subheader("AI Generated Synopsis")

            st.write(synopsis)

            # ====================================
            # GENERATE PDF
            # ====================================

            pdf = generate_pdf(
                user_data,
                roi_data,
                synopsis,
            )

            # ====================================
            # SEND EMAIL
            # ====================================

            email_status = send_email(
                user_data,
                roi_data
            )

            if email_status:

                st.success(
                    "Lead details sent successfully!"
                )

            else:

                st.error(
                    "Failed to send lead email."
                )

            # ====================================
            # DOWNLOAD PDF
            # ====================================

            st.download_button(
                label="Download Report",
                data=pdf,
                file_name="ai_roi_report.pdf",
                mime="application/pdf",
            )