Upload app.py

app.py

@@ -0,0 +1,141 @@
+import streamlit as st
+import pandas as pd
+import uuid
+import datetime
+from openpyxl import Workbook, load_workbook
+
+# Define the menu items with prices
+menu = {
+    "01": {"name": "Chicken Fried Rice", "price": 80},
+    "02": {"name": "Veg Fried Rice", "price": 70},
+    "03": {"name": "Chicken Noodles", "price": 90},
+    "04": {"name": "Veg Noodles", "price": 75}
+}
+
+# Excel file for storing billing data
+excel_file = "billing_data.xlsx"
+
+# Initialize or load the Excel file
+def initialize_excel():
+    try:
+        wb = load_workbook(excel_file)
+        ws = wb.active
+        if ws.max_row == 1:  # If only headers exist, reinitialize
+            ws.append(["Date", "Bill Number", "Phone Number", "Item Name", "Quantity", "Price", "Total Amount", "Status"])
+            wb.save(excel_file)
+    except FileNotFoundError:
+        wb = Workbook()
+        ws = wb.active
+        ws.title = "Billing Data"
+        ws.append(["Date", "Bill Number", "Phone Number", "Item Name", "Quantity", "Price", "Total Amount", "Status"])
+        wb.save(excel_file)
+
+initialize_excel()
+
+# Streamlit UI Setup
+st.set_page_config(page_title="The Taste Quest", page_icon="🍔", layout="wide")
+
+# Title in the center
+st.markdown("<h1 style='text-align: center;'>🍔 The Taste Quest</h1>", unsafe_allow_html=True)
+
+# Layout - Two Columns
+col1, col2 = st.columns([1, 1])  # Left for customer details & history, right for billing
+
+# Left Side (Customer Phone + Billing History)
+with col1:
+    st.subheader("📞 Customer Details")
+    phone_number = st.text_input("Enter Customer Phone Number:")
+
+    # Generate unique bill number (same bill number for multiple items in one session)
+    if "bill_number" not in st.session_state:
+        st.session_state["bill_number"] = str(uuid.uuid4())[:8]
+    bill_number = st.session_state["bill_number"]
+
+    # Show past billing history for entered phone number
+    if phone_number:
+        try:
+            df = pd.read_excel(excel_file)  # Read all columns
+            df.columns = ["Date", "Bill Number", "Phone Number", "Item Name", "Quantity", "Price", "Total Amount", "Status"]
+            customer_history = df[df["Phone Number"] == phone_number]
+
+            if not customer_history.empty:
+                customer_history["Date"] = pd.to_datetime(customer_history["Date"])  # Convert to datetime
+                customer_history = customer_history.sort_values(by="Date", ascending=False)  # Sort by date
+
+                st.subheader("📜 Past Orders")
+                st.dataframe(customer_history)
+            else:
+                st.write("No previous records found for this number.")
+        except Exception as e:
+            st.error(f"Error loading billing history: {e}")
+
+# Right Side (Item Selection + Quantity + Add to Bill)
+with col2:
+    st.subheader("🛒 Order Details")
+
+    # Auto-complete for item selection
+    item_names = {v["name"]: k for k, v in menu.items()}  # Reverse lookup for codes
+    selected_item = st.selectbox("🔍 Select an item:", options=list(item_names.keys()))
+
+    # Display price in a small card
+    if selected_item:
+        item_code = item_names[selected_item]
+        item = menu[item_code]
+        st.markdown(f"**Price:** Rs. {item['price']}")
+
+    quantity = st.number_input("📦 Enter quantity:", min_value=1, step=1)
+
+    if st.button("✅ Add to Bill"):
+        if selected_item and phone_number:
+            item_code = item_names[selected_item]
+            item = menu[item_code]
+            total_amount = item["price"] * quantity
+
+            # Get the current date & time
+            current_date = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+
+            # Save to Excel properly
+            wb = load_workbook(excel_file)
+            ws = wb.active
+            ws.append([
+                current_date,       # Date
+                str(bill_number),   # Bill Number
+                str(phone_number),  # Phone Number
+                item["name"],       # Item Name
+                int(quantity),      # Quantity
+                int(item["price"]), # Price
+                int(total_amount),  # Total Amount
+                "Pending"           # Status
+            ])
+            wb.save(excel_file)
+
+            st.success(f"✅ {item['name']} added! Total Amount: Rs. {total_amount}")
+
+        else:
+            st.error("❌ Please enter a phone number and select an item.")
+
+# Pending Orders Section at the bottom right
+st.subheader("📝 Pending Orders")
+
+try:
+    df = pd.read_excel(excel_file)  # Read all columns
+    df.columns = ["Date", "Bill Number", "Phone Number", "Item Name", "Quantity", "Price", "Total Amount", "Status"]
+    pending_orders = df[df["Status"] == "Pending"]
+
+    if not pending_orders.empty:
+        for index, row in pending_orders.iterrows():
+            col1, col2 = st.columns([3, 1])
+            with col1:
+                st.write(f"**Bill Number:** {row['Bill Number']} | **Item:** {row['Item Name']} | **Quantity:** {row['Quantity']} | **Total Amount:** Rs. {row['Total Amount']}")
+            with col2:
+                if st.checkbox("Mark as Completed", key=index):
+                    # Update status to "Completed"
+                    wb = load_workbook(excel_file)
+                    ws = wb.active
+                    ws.cell(row=index + 2, column=8, value="Completed")  # Update status in Excel
+                    wb.save(excel_file)
+                    st.rerun()  # Refresh the page to reflect changes
+    else:
+        st.write("No pending orders.")
+except Exception as e:
+    st.error(f"Error loading pending orders: {e}")