import gradio as gr import pandas as pd from bcrypt import hashpw, gensalt, checkpw # Path to the Excel file for user storage USER_FILE = "users.xlsx" # Load users from Excel def load_users(): try: df = pd.read_excel(USER_FILE) return {row['Email']: row for _, row in df.iterrows()} except FileNotFoundError: df = pd.DataFrame(columns=["Name", "Phone", "Email", "Password"]) df.to_excel(USER_FILE, index=False) return {} # Save users to Excel def save_users(users): df = pd.DataFrame(users.values()) df.to_excel(USER_FILE, index=False) # Signup user def signup_user(name, phone, email, password): users = load_users() if email in users: return "Email already exists. Please use a different email." hashed_password = hashpw(password.encode(), gensalt()).decode() users[email] = {"Name": name, "Phone": phone, "Email": email, "Password": hashed_password} save_users(users) return "Signup successful! Please log in." # Validate login def validate_login(email, password): users = load_users() if email in users and checkpw(password.encode(), users[email]["Password"].encode()): return True, "Login successful!" return False, "Invalid email or password." # Session management active_sessions = {} def login_user(email, password): success, message = validate_login(email, password) if success: active_sessions[email] = True return message return message def is_logged_in(email): return active_sessions.get(email, False) def logout_user(email): if email in active_sessions: del active_sessions[email] return "Logged out successfully!" return "No active session found for this email." # Function to load the menu data def load_menu(): menu_file = "menu.xlsx" # Ensure this file exists in the same directory try: return pd.read_excel(menu_file) except Exception as e: raise ValueError(f"Error loading menu file: {e}") # Function to filter menu items based on preference def filter_menu(preference): menu_data = load_menu() if preference == "Halal/Non-Veg": filtered_data = menu_data[menu_data["Ingredients"].str.contains("Chicken|Mutton|Fish|Prawns|Goat", case=False, na=False)] elif preference == "Vegetarian": filtered_data = menu_data[~menu_data["Ingredients"].str.contains("Chicken|Mutton|Fish|Prawns|Goat", case=False, na=False)] elif preference == "Guilt-Free": filtered_data = menu_data[menu_data["Description"].str.contains(r"Fat: ([0-9]|10)g", case=False, na=False)] else: filtered_data = menu_data html_content = "" for _, item in filtered_data.iterrows(): html_content += f"""
${item['Price ($)']}
{item['Description']}