import gradio as gr
import re
import json
import time
from datetime import datetime
# Simple language detection function instead of using transformers
def simple_detect_language(text):
# Check for Arabic characters
arabic_pattern = re.compile(r'[\u0600-\u06FF\u0750-\u077F\u08A0-\u08FF]+')
if arabic_pattern.search(text):
return "ar"
return "en"
# Omdurman National Bank-specific guidelines in Arabic
ONB_GUIDELINES_AR = {
"balance": "يمكنك التحقق من رصيدك عبر الإنترنت أو عبر تطبيق الهاتف الخاص ببنك أم درمان الوطني. افحص رصيدك الآن",
"lost_card": "في حالة فقدان البطاقة، اتصل بالرقم 249-123-456-789 فورًا أو أوقف البطاقة عبر الإنترنت.",
"loan": "شروط القرض تشمل الحد الأدنى للدخل (5000 جنيه سوداني) وتاريخ ائتماني جيد. تقدم بطلب قرض الآن",
"transfer": "لتحويل الأموال، استخدم تطبيق الهاتف أو الخدمة المصرفية عبر الإنترنت.",
"new_account": "لفتح حساب جديد، قم بزيارة أقرب فرع مع جواز سفرك أو هويتك الوطنية. احجز موعدًا الآن",
"interest_rates": "أسعار الفائدة على الودائع تتراوح بين 5% إلى 10% سنويًا. اطلع على جميع الأسعار",
"branches": "فروعنا موجودة في أم درمان، الخرطوم، وبورتسودان. اعثر على أقرب فرع",
"working_hours": "ساعات العمل من 8 صباحًا إلى 3 مساءً من الأحد إلى الخميس. تحقق من ساعات العمل الخاصة",
"contact": "الاتصال بنا على الرقم 249-123-456-789 أو عبر البريد الإلكتروني info@onb.sd. نموذج الاتصال"
}
# Omdurman National Bank-specific guidelines in English
ONB_GUIDELINES_EN = {
"balance": "You can check your balance online or via the ONB mobile app. Check your balance now",
"lost_card": "In case of a lost card, call 249-123-456-789 immediately or block your card online.",
"loan": "Loan requirements include minimum income (5000 SDG) and good credit history. Apply for a loan now",
"transfer": "To transfer funds, use the mobile app or online banking service.",
"new_account": "To open a new account, visit your nearest branch with your passport or national ID. Book an appointment now",
"interest_rates": "Interest rates on deposits range from 5% to 10% annually. View all rates",
"branches": "Our branches are located in Omdurman, Khartoum, and Port Sudan. Find your nearest branch",
"working_hours": "Working hours are from 8 AM to 3 PM, Sunday to Thursday. Check special hours",
"contact": "Contact us at 249-123-456-789 or via email at info@onb.sd. Contact form"
}
# Quick action buttons in Arabic
QUICK_ACTIONS_AR = [
{"text": "تحقق من الرصيد", "intent": "balance"},
{"text": "الإبلاغ عن بطاقة مفقودة", "intent": "lost_card"},
{"text": "معلومات القرض", "intent": "loan"},
{"text": "تحويل الأموال", "intent": "transfer"},
{"text": "فتح حساب جديد", "intent": "new_account"},
{"text": "أسعار الفائدة", "intent": "interest_rates"},
{"text": "مواقع الفروع", "intent": "branches"},
{"text": "ساعات العمل", "intent": "working_hours"},
{"text": "اتصل بنا", "intent": "contact"}
]
# Quick action buttons in English
QUICK_ACTIONS_EN = [
{"text": "Check Balance", "intent": "balance"},
{"text": "Report Lost Card", "intent": "lost_card"},
{"text": "Loan Information", "intent": "loan"},
{"text": "Transfer Funds", "intent": "transfer"},
{"text": "Open New Account", "intent": "new_account"},
{"text": "Interest Rates", "intent": "interest_rates"},
{"text": "Branch Locations", "intent": "branches"},
{"text": "Working Hours", "intent": "working_hours"},
{"text": "Contact Us", "intent": "contact"}
]
# Menu options in both languages
MENU_AR = """
قائمة الخدمات المصرفية:
1. رصيد - استعلام عن رصيد حسابك
2. بطاقة - الإبلاغ عن بطاقة مفقودة
3. قرض - معلومات عن القروض
4. تحويل - تحويل الأموال
5. حساب - فتح حساب جديد
6. فائدة - أسعار الفائدة
7. فرع - مواقع الفروع
8. ساعات - ساعات العمل
9. اتصال - معلومات الاتصال
"""
MENU_EN = """
Banking Services Menu:
1. balance - Check your account balance
2. card - Report a lost card
3. loan - Information about loans
4. transfer - Transfer funds
5. account - Open a new account
6. interest - Interest rates
7. branch - Branch locations
8. hours - Working hours
9. contact - Contact information
"""
# Map intents to keywords (enhanced)
INTENT_KEYWORDS = {
"balance": ["balance", "check balance", "account balance", "how much", "رصيد", "حساب", "كم المبلغ", "1"],
"lost_card": ["lost", "card", "stolen", "missing", "فقدت", "بطاقة", "مسروقة", "ضائعة", "2"],
"loan": ["loan", "borrow", "borrowing", "credit", "قرض", "استدانة", "إئتمان", "3"],
"transfer": ["transfer", "send money", "payment", "تحويل", "ارسال", "دفع", "4"],
"new_account": ["account", "open", "create", "new", "حساب", "فتح", "جديد", "إنشاء", "5"],
"interest_rates": ["interest", "rate", "rates", "return", "فائدة", "نسبة", "عائد", "6"],
"branches": ["branch", "location", "where", "office", "فرع", "موقع", "أين", "مكتب", "7"],
"working_hours": ["hours", "time", "open", "close", "ساعات", "وقت", "مفتوح", "مغلق", "8"],
"contact": ["contact", "phone", "email", "call", "اتصال", "هاتف", "بريد", "اتصل", "9"]
}
# Customer service phrases for more human-like responses
CUSTOMER_SERVICE_PHRASES_AR = {
"greeting": [
"مرحبًا! كيف يمكنني مساعدتك اليوم؟",
"أهلاً بك في بنك أم درمان الوطني! كيف يمكنني خدمتك؟",
"مرحبًا بك! أنا هنا للمساعدة في أي استفسارات مصرفية."
],
"thanks": [
"شكرًا لتواصلك معنا!",
"نشكرك على استخدام خدماتنا المصرفية.",
"سعداء بخدمتك دائمًا!"
],
"follow_up": [
"هل هناك شيء آخر يمكنني مساعدتك به؟",
"هل لديك أي أسئلة أخرى؟",
"هل تحتاج إلى مساعدة في أمر آخر؟"
]
}
CUSTOMER_SERVICE_PHRASES_EN = {
"greeting": [
"Hello! How can I assist you today?",
"Welcome to Omdurman National Bank! How may I help you?",
"Hi there! I'm here to help with any banking inquiries."
],
"thanks": [
"Thank you for contacting us!",
"We appreciate you using our banking services.",
"Always happy to serve you!"
],
"follow_up": [
"Is there anything else I can help you with?",
"Do you have any other questions?",
"Do you need assistance with anything else?"
]
}
# Function to get a random phrase from the customer service phrases
def get_random_phrase(category, language):
import random
if language == "ar":
return random.choice(CUSTOMER_SERVICE_PHRASES_AR[category])
else:
return random.choice(CUSTOMER_SERVICE_PHRASES_EN[category])
def classify_intent(message: str):
# Check for menu request
menu_keywords = ["menu", "options", "help", "قائمة", "خيارات", "مساعدة"]
message_lower = message.lower()
for keyword in menu_keywords:
if keyword in message_lower:
return "menu"
# Use keyword matching for intent classification
for intent_key, keywords in INTENT_KEYWORDS.items():
for keyword in keywords:
if keyword.lower() in message_lower:
return intent_key
return "unknown"
# Function to log customer interactions
def log_interaction(user_message, bot_response, intent, language):
timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
log_entry = {
"timestamp": timestamp,
"user_message": user_message,
"bot_response": bot_response,
"intent": intent,
"language": language
}
try:
with open("/home/ubuntu/banking_chatbot/interaction_logs.jsonl", "a") as f:
f.write(json.dumps(log_entry) + "\n")
except Exception as e:
print(f"Error logging interaction: {e}")
def respond(message: str):
if not message.strip():
return {
"ar": "الرجاء كتابة سؤالك.",
"en": "Please type your question."
}
# Detect language using simple function
language = simple_detect_language(message)
# Classify the user's intent using keyword matching
intent = classify_intent(message)
# Prepare responses in both languages
responses = {
"ar": "",
"en": ""
}
# Special handling for menu request
if intent == "menu":
responses["ar"] = MENU_AR
responses["en"] = MENU_EN
log_interaction(message, responses[language], "menu", language)
return responses
# If intent is recognized, return the corresponding response
if intent != "unknown":
# Add a greeting phrase at the beginning
greeting_ar = get_random_phrase("greeting", "ar")
greeting_en = get_random_phrase("greeting", "en")
# Add the main response
main_response_ar = ONB_GUIDELINES_AR.get(intent, "عذرًا، لم يتم التعرف على الخيار المحدد.")
main_response_en = ONB_GUIDELINES_EN.get(intent, "Sorry, the selected option was not recognized.")
# Add a follow-up phrase at the end
follow_up_ar = get_random_phrase("follow_up", "ar")
follow_up_en = get_random_phrase("follow_up", "en")
# Combine all parts
responses["ar"] = f"{greeting_ar}
{main_response_ar}
{follow_up_ar}"
responses["en"] = f"{greeting_en}
{main_response_en}
{follow_up_en}"
else:
# Default response if no intent is matched - show menu
responses["ar"] = "عذرًا، لم أفهم سؤالك. إليك قائمة بالخدمات المتاحة:" + MENU_AR
responses["en"] = "Sorry, I didn't understand your question. Here's a menu of available services:" + MENU_EN
# Log the interaction
log_interaction(message, responses[language], intent, language)
return responses
# Custom CSS for better UI
custom_css = """
.gradio-container {
font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
}
.chat-message {
padding: 1rem;
border-radius: 10px;
margin-bottom: 1rem;
max-width: 80%;
}
.user-message {
background-color: #e6f7ff;
margin-left: auto;
text-align: right;
}
.bot-message {
background-color: #f0f0f0;
margin-right: auto;
text-align: left;
}
.bot-message-ar {
background-color: #f0f0f0;
margin-left: auto;
text-align: right;
}
.header-section {
background-color: #1a5276;
color: white;
padding: 1rem;
border-radius: 10px;
margin-bottom: 1rem;
text-align: center;
}
.footer-section {
font-size: 0.8rem;
text-align: center;
margin-top: 2rem;
color: #666;
}
.lang-selector {
text-align: right;
margin-bottom: 1rem;
}
.menu-button {
margin-top: 0.5rem;
}
.quick-actions {
display: flex;
flex-wrap: wrap;
gap: 0.5rem;
margin: 1rem 0;
}
.quick-action-button {
background-color: #1a5276;
color: white;
border: none;
border-radius: 20px;
padding: 0.5rem 1rem;
cursor: pointer;
font-size: 0.9rem;
transition: background-color 0.3s;
}
.quick-action-button:hover {
background-color: #2980b9;
}
.chat-container {
border: 1px solid #ddd;
border-radius: 10px;
padding: 1rem;
background-color: #f9f9f9;
}
.typing-indicator {
display: inline-block;
width: 50px;
text-align: left;
}
.typing-indicator span {
display: inline-block;
width: 8px;
height: 8px;
background-color: #1a5276;
border-radius: 50%;
margin-right: 5px;
animation: typing 1s infinite;
}
.typing-indicator span:nth-child(2) {
animation-delay: 0.2s;
}
.typing-indicator span:nth-child(3) {
animation-delay: 0.4s;
}
@keyframes typing {
0%, 100% {
transform: translateY(0);
}
50% {
transform: translateY(-5px);
}
}
.live-agent-button {
background-color: #27ae60;
color: white;
border: none;
border-radius: 5px;
padding: 0.5rem 1rem;
cursor: pointer;
font-size: 0.9rem;
margin-top: 1rem;
transition: background-color 0.3s;
}
.live-agent-button:hover {
background-color: #2ecc71;
}
/* Add custom styling for links */
a {
color: #2980b9;
text-decoration: none;
font-weight: bold;
}
a:hover {
text-decoration: underline;
}
/* Add styling for action buttons */
.action-button {
display: inline-block;
background-color: #3498db;
color: white;
padding: 0.5rem 1rem;
border-radius: 5px;
margin: 0.5rem 0;
text-decoration: none;
}
.action-button:hover {
background-color: #2980b9;
text-decoration: none;
}
"""
# Custom JavaScript for enhanced functionality
custom_js = """
function simulateTyping(message, elementId, delay = 30) {
const element = document.getElementById(elementId);
if (!element) return;
element.innerHTML = "";
let i = 0;
function type() {
if (i < message.length) {
element.innerHTML += message.charAt(i);
i++;
setTimeout(type, delay);
}
}
type();
}
// Function to show typing indicator
function showTypingIndicator() {
const chatbox = document.getElementById('chatbox');
if (!chatbox) return;
const typingIndicator = document.createElement('div');
typingIndicator.className = 'typing-indicator';
typingIndicator.id = 'typing-indicator';
typingIndicator.innerHTML = '';
chatbox.appendChild(typingIndicator);
chatbox.scrollTop = chatbox.scrollHeight;
}
// Function to hide typing indicator
function hideTypingIndicator() {
const typingIndicator = document.getElementById('typing-indicator');
if (typingIndicator) {
typingIndicator.remove();
}
}
// Function to connect with a live agent
function connectLiveAgent() {
alert('Connecting to a live customer service agent. Please wait a moment...');
// In a real implementation, this would initiate a connection to a live agent system
}
"""
# Chat interface with enhanced UI
with gr.Blocks(css=custom_css, js=custom_js) as demo:
# Store conversation history
state = gr.State(value=[])
# Store selected language
selected_lang = gr.State(value="ar")
with gr.Row(elem_classes="header-section"):
with gr.Column():
gr.Markdown("# Omdurman National Bank | بنك أم درمان الوطني")
gr.Markdown("### Virtual Banking Assistant | المساعد المصرفي اTo save on context only part of this file has been shown to you. You should retry this tool after you have searched inside the file with `grep -n` in order to find the line numbers of what you are looking for.