add the option to select multiple services using checkboxes instead of writing them for easier acces

now when the user reaches the services part , they will be shown all ther services and they can simple click on them and choose which they want (multiple choice) , then press send to lock in their choices

app.py

@@ -1,4 +1,4 @@
-# csword_ai_chatbot.py (Fixed Version with Dropdowns + Validation + Admin + General Q&A)
+# csword_ai_chatbot.py (Fixed Version with Multi-Select Services)
 
 import os
 import sys
@@ -11,12 +11,14 @@ from openai import OpenAI
 import gradio as gr
 
 # 1. Load CSWORD.ai context
-# load_context() alternative using a saved HTML file
 def load_context():
-    with open("csword_homepage.html", "r", encoding="utf-8") as file:
-        soup = BeautifulSoup(file.read(), "html.parser")
-        texts = [tag.get_text(separator=" ").strip() for tag in soup.find_all(["h1", "h2", "h3", "p", "li"])]
-        return "\n".join(filter(None, texts))
+    try:
+        with open("csword_homepage.html", "r", encoding="utf-8") as file:
+            soup = BeautifulSoup(file.read(), "html.parser")
+            texts = [tag.get_text(separator=" ").strip() for tag in soup.find_all(["h1", "h2", "h3", "p", "li"])]
+            return "\n".join(filter(None, texts))
+    except FileNotFoundError:
+        return "CSWORD.ai is a cybersecurity awareness and training platform that leverages AI to deliver personalized, adaptive education."
 
 # 2. Set up DeepInfra client
 token = os.getenv("DEEPINFRA_TOKEN", "285LUJulGIprqT6hcPhiXtcrphU04FG4")
@@ -33,260 +35,31 @@ csword Next-Gen AI Platform for Cyber Awareness
 3- Penetration Testing & Threat Simulation
 4- Digital Awareness Deliverables
 5- Cybersecurity Events
-
 6- Risk & Security Assessment Services
 7- Interactive Awareness Sessions
-
-- Get Results in 3 Simple Steps
-From setup to securing your organization, our AI guides you every step of the way.
-1- Assess Your Risk
-Our AI analyzes your current security posture and identifies vulnerabilities
-2-Deploy Smart Training
-Launch AI-powered campaigns with personalized learning paths for each employee
-3- Monitor & Improve
-Track progress with real-time analytics and continuous improvement recommendations
-
-- Why Organizations Choose our Ai-Platform ?
-Be part of the growing number of businesses transforming their cybersecurity with our cutting-edge AI platform.
-1- 90% reduction in phishing susceptibility
-(Measurable Results) Track real improvements in security awareness with detailed analytics and reporting.
-
-2- < 24 hours setup time 
-(Easy Integration) Seamlessly integrates with your existing security stack and HR systems.
-
-3- 99.9% customer satisfaction
-Expert Support
-Our cybersecurity experts are always available to help you maximize your results.
-
-- Guarding Your Digital Future
-CSWORD is a leading cybersecurity company dedicated to transforming organizational security culture through innovative AI-powered solutions and expert services.
-
-1- AI-Powered Phishing Simulations (Backed by consistent positive outcomes)
-Advanced AI creates realistic, targeted phishing campaigns to test your team's awareness.
-2- Intelligent LMS Training with AI Adaptation (Personalized Learning)
-Personalized cybersecurity training modules adapted to each employee's role and risk level.
-3- Penetration Testing & Threat Simulation (Real-time Analytics)
-Comprehensive testing for web, mobile, and networks, including Red & Purple teaming exercises.
-4- Digital Awareness Deliverables (Branded Content)
-5-Cybersecurity Events (Interactive Learning)
-7-Interactive Awareness Sessions (Expert-Led Training) 
-8- Advanced Executive Reporting (Real-time Analytics)
-AI-driven risk scoring and comprehensive analytics for informed decision-making.
-9-24/7 AI Cybersecurity Consultant (Always Available)
-Intelligent chatbot providing instant cybersecurity guidance and support.
-9- Penetration Testing & Threat Simulation
-
-- Solutions
-1- AI-Powered Awareness
-2- Digital Awareness Deliverables
-3- Interactive Awareness Sessions
-4- Cybersecurity Events
-5- Penetration Testing & Threat Simulation
-5- Risk & Security Assessment
-
-Discover how artificial intelligence transforms cybersecurity awareness training, delivering personalized, adaptive, and highly effective security education.
-1- AI-Driven
-2- Enterprise-Grade
-3- Scalable
-
-about Csword 
-- Our Story
-For generations, our ancestors drew their swords to defend their people, their lands, and their future. Today, as the battles rage in cyberspace, we carry that same spirit forward.
-At Csword, where heritage meets cybersecurity, we forge CyberSwords — powerful shields against the invisible enemies of the digital world.
-Inspired by the courage of those who came before us, we stand unshaken, guarding not only our legacy but your future with strength, honor, and relentless vigilance.
--Our Vision
-Redefining cybersecurity by merging AI innovation with human insight to protect and empower organizations around the world.
-- Our Mission
-Empowering organizations to thrive securely with AI-led cybersecurity solutions that are proactive, dependable, and future-ready.
-- Our Core Values
-These fundamental principles guide everything we do and shape our relationships with clients, partners, and each other.
-1- Security First 
-From code to cloud, your data is protected by military-grade security and strict privacy standards.
-2-Innovation Driven
-We innovate relentlessly—using AI and research to transform how cybersecurity is taught and learned.
-3- People Centered
-Real security starts with people. We build smarter habits through engaging, human-centered learning.
-4-Excellence Committed
-We're committed to delivering exceptional results and continuous improvement in all our services and solutions.
-- Leading the Future of Cyber Awareness
-We're more than a cybersecurity company—we're your strategic partner in building a security-conscious culture that protects and empowers your organization.
-1-Proven Expertise
-Our team combines decades of cybersecurity experience with cutting-edge AI technology to deliver unparalleled results.
-2-Innovation Leadership
-We're pioneers in AI-powered cybersecurity awareness, continuously developing new technologies to stay ahead of threats.
-3-Measurable Results
-Our clients see dramatic improvements in security awareness metrics, with some achieving 90% reduction in phishing susceptibility.
-4-Complete Solutions
-From AI-powered platforms to expert services, we provide everything you need for comprehensive cybersecurity awareness.
-5-Scalable Platform
-Our solutions grow with your organization, from small businesses to enterprise corporations with thousands of employees.
-6-Dedicated Support
-Our customer success team ensures you get maximum value from our platform with ongoing support and optimization.
-What's Next?
-1- We Receive Your Message
-Our team is notified instantly when you submit your inquiry
-
-2- We Analyze Your Needs
-Our specialists review your request and prepare a response
-
-3- We Respond Promptly
-You'll hear from us within 24 hours with next steps
-
-- Services 
-1- AI-Powered Phishing Simulations
-Advanced security testing tools powered by artificial intelligence
-* Key Features
-1- Realistic email templates
-2- Customizable attack scenarios
-3- Behavioral analysis
-4- Automated deployment
-* Benefits
-1- Improved security awareness
-2- Reduced vulnerability
-3- Compliance with regulations
-4- Measurable security metrics
-
-2- Intelligent LMS Training with AI Adaptation
-Personalized learning management system that adapts training content to individual employee needs and learning patterns.
-* Key Features
-1- Personalized, role-based content with adaptive difficulty
-2- Seamless LMS integration and multi-language support
-3- AI-optimized learning paths with performance-based recommendations
-* Benefits
-1- Increase training completion rates by 75%
-2- Reduce training time while improving retention
-3- Personalized learning experiences drive engagement
-
-
-3- Executive Reporting with AI Risk Scoring
-Comprehensive analytics platform that provides actionable insights through AI-powered risk assessment and predictive modeling.
-* Key Features
-1- Risk scores and trends for individuals & departments
-2- AI-driven predictive modeling and recommendations
-3- Automated executive summaries with custom KPIs
-* Benefits
-1- Data-driven decision making for security investments
-2- Proactive risk management instead of reactive responses
-3- Clear ROI demonstration for security training programs
-
-4- 24/7 AI Cybersecurity Consultant
-Intelligent chatbot providing instant cybersecurity guidance, support, and training assistance around the clock.
-* Key Features
-1- Instant AI chatbot support for users, admins & employees
-2- NLP guidance integrated with cybersecurity knowledge base
-3- Smart escalation to human experts when needed
-* Benefits
-1- Reduce support ticket volume by 60%
-2- Instant answers improve user satisfaction
-3- 24/7 availability enhances security culture
-
-- Digital Awareness Deliverables (Branded Content)
-    Custom-designed digital content to reinforce cybersecurity awareness across your organization.
-    1- Digital Awareness Deliverables
-    * Security Awareness Poster
-    • Eye-catching visual design
-    • Your company branding
-    • Clear security messaging
-    • Multiple format delivery
-    * Monthly Newsletter
-    • Latest threat intelligence
-    • Security tips and best practices
-    • Company-specific content
-    • Email-ready format
-
-
--Cybersecurity Events (Interactive Learning)
-    Engaging events that build security culture and team engagement through interactive learning.
-    Real-Time Attacker Simulation -Engage in several intense, realistic scenarios to test your response capabilities under pressure.
-    Gamified Cyber Awareness to Empower Your Team - Turn learning into a fun, competitive experience with points, leaderboards, and engaging challenges.
-    6-Risk & Security Assessment Services (Always Available)
-    - Our Process
-    Event planning and logistics coordination
-    Expert facilitator and speaker arrangement
-    Custom event materials and resources
-    Post-event follow-up and assessment
-    - Key Benefits:
-    Creates memorable learning experiences
-    Builds team cohesion around security goals
-    Generates excitement about cybersecurity
-    In-depth assessments covering risk, device configurations, network architecture, and source code review.
-
--Interactive Awareness Sessions (Expert-Led Training) :
-    Interactive, expert-led training sessions delivered in-person or online to educate your workforce.
-    Interactive, in-person cybersecurity training sessions designed to engage and educate your workforce.
-    Experience Interactive Cybersecurity Training Our on-site sessions bring real-world cybersecurity scenarios directly to your team, creating engaging learning experiences that stick.
-    * Online Training Sessions "Leadership briefings on security strategy"
-    * On-Site Training Sessions "Hands-on learning with real scenarios"
-    - Our Process
-    1- Pre-session consultation and needs assessment
-    2- Custom content development
-    3- Online delivery by certified experts
-    4- Follow-up materials and action plans
-    - Key Benefits:
-    1- Face-to-face interaction increases engagement and retention
-    2- Customized content addresses your specific challenges
-    3- Expert facilitators provide real-world insights
-
-- Cybersecurity Events
-    Comprehensive cybersecurity events that build security culture and team engagement through interactive learning.
-    Engaging Cybersecurity Events Real events that create lasting impact on your security culture
-    Real-Time Attacker Simulation : Engage in several intense, realistic scenarios to test your response capabilities under pressure.
-    Gamified Cyber Awareness to Empower Your Team : Turn learning into a fun, competitive experience with points, leaderboards, and engaging challenges.
-    - Our Process
-    Event planning and logistics coordination
-    Expert facilitator and speaker arrangement
-    Custom event materials and resources
-    Post-event follow-up and assessment
-    - Key Benefits:
-    Creates memorable learning experiences
-    Builds team cohesion around security goals
-    Generates excitement about cybersecurity
-
-- Penetration Testing & Threat Simulation
-    Proactively identify and mitigate vulnerabilities with our expert-led penetration testing and attack simulation services.
-    Our Pen Testing Services :Comprehensive assessments to uncover critical security flaws.
-    Web & Mobile App Pen Testing :Identify and exploit vulnerabilities in your web and mobile applications before attackers do.
-    Internal & External Network Pen Testing : Assess the security of your network infrastructure from both internal and external perspectives.
-    Wireless Pen Testing : Evaluate the security of your wireless networks to prevent unauthorized access.
-    Red Teaming / Purple Teaming : Simulate real-world attack scenarios to test your organization's detection and response capabilities.
-    - Our Methodology
-    A structured approach to ensure thorough testing and actionable results.
-    1- Scoping & Planning : We work closely with you to define the scope, objectives, and rules of engagement, ensuring our testing aligns with your business goals.
-    2- Reconnaissance & Discovery : Our experts gather intelligence and use advanced tools to identify potential attack vectors and map out your digital footprint.
-    3- Vulnerability Assessment : In a controlled manner, we attempt to exploit identified vulnerabilities to validate real-world risks and demonstrate potential impact.
-    4- Reporting & Remediation : We provide a comprehensive report with actionable recommendations, prioritized by risk, to help you effectively remediate all findings.
-
-- Risk & Security Assessment Services
-Gain a comprehensive understanding of your security posture and make informed, risk-based decisions.
-    - Our Assessment Services
-    1- Risk Assessment : Identify, analyze, and evaluate security risks to your organization's assets and processes.
-    2- Device Configuration Assessment : Ensure your servers, firewalls, and endpoints are hardened and securely configured.
-    3- Network Architecture Assessment : Assess the design of your network for security flaws, bottlenecks, and single points of failure.
-    4- Source Code Review : Manually and automatically inspect source code to find security vulnerabilities missed by other tools.
-    - Our Process
-    Information Gathering : We collect documentation and interview key personnel to understand your business processes, assets, and existing security controls.
-    Vulnerability Analysis : Our team uses a combination of automated tools and manual inspection to identify vulnerabilities and misconfigurations.
-    Risk Evaluation : We analyze vulnerabilities to determine their likelihood and potential impact, resulting in a prioritized list of risks.
-    Strategic Recommendations : We deliver a detailed report with actionable recommendations to mitigate risks and build a resilient security roadmap.
-
-
 """
-SYSTEM_PROMPT_GENERAL = "You are a cybersecurity expert. Answer clearly and informatively."
 
-# Try to load context, fallback if file doesn't exist
-try:
-    CONTEXT = load_context()
-except FileNotFoundError:
-    CONTEXT = "CSWORD.ai is a cybersecurity awareness and training platform that leverages AI to deliver personalized, adaptive education."
+SYSTEM_PROMPT_GENERAL = "You are a cybersecurity expert. Answer clearly and informatively."
 
-if not CONTEXT.strip():
-    CONTEXT = "CSWORD.ai is a cybersecurity awareness and training platform that leverages AI to deliver personalized, adaptive education."
+CONTEXT = load_context()
 
 # 3. Form state
 form_type = None
 user_form_data = {}
 final_question = ("final_note", "Would you like any further assistance with cybersecurity-related topics?")
 
+service_options = [
+    "AI Phishing Simulation Platform",
+    "AI-Tailored LMS Training", 
+    "Cybersecurity Events",
+    "Digital Awareness Deliverables",
+    "Executive Reporting & Risk Scoring",
+    "On-Site Awareness Sessions",
+    "Penetration Testing & Threat Simulation",
+    "Risk & Security Assessment",
+    "24/7 AI Cybersecurity Consultant"
+]
+
 form_definitions = {
     "demo": [
         ("name", "Full Name *"),
@@ -294,16 +67,7 @@ form_definitions = {
         ("email", "Work Email *"),
         ("phone", "Phone Number"),
         ("employees", ["Number of Employees *", ["1-50", "51-200", "201-500", "+500"]]),
-        ("services", "Services of Interest (select multiple if needed):\n"
-         "- AI Phishing Simulation Platform\n"
-         "- AI-Tailored LMS Training\n"
-         "- Cybersecurity Events\n"
-         "- Digital Awareness Deliverables\n"
-         "- Executive Reporting & Risk Scoring\n"
-         "- On-Site Awareness Sessions\n"
-         "- Penetration Testing & Threat Simulation\n"
-         "- Risk & Security Assessment\n"
-         "- 24/7 AI Cybersecurity Consultant"),
+        ("services", ["Services of Interest (select multiple):", "checkboxes", service_options]),
         ("specific_reqs", "Do you have any specific requirements or questions?"),
         final_question
     ],
@@ -319,7 +83,7 @@ form_definitions = {
 
 # 4. Validation
 def validate_input(key, value):
-    if not value.strip():
+    if not value or (isinstance(value, str) and not value.strip()):
         return "This field is required. Please provide a value."
     if key == "email" and not re.match(r"[^@\s]+@[^@\s]+\.[^@\s]+", value):
         return "Invalid email format. Please enter a valid email address."
@@ -345,7 +109,7 @@ def answer_question(query: str, is_general=False) -> str:
         return f"Error: {e}"
 
 # 6. Chat function
-def chat_fn(message, history):
+def chat_fn(message, history, checkbox_values=None):
     global user_form_data, form_type
 
     if form_type and len(user_form_data) < len(form_definitions[form_type]):
@@ -353,23 +117,32 @@ def chat_fn(message, history):
         cancel_keywords = ["cancel", "stop", "don't want", "exit", "no thanks", "back", "abort"]
         if any(kw in message.lower() for kw in cancel_keywords):
             user_form_data, form_type = {}, None
-            return history + [(message, "Form cancelled. How can I assist you with cybersecurity?")], "", gr.update(visible=True), gr.update(visible=False, choices=[], value=None)
+            return history + [(message, "Form cancelled. How can I assist you with cybersecurity?")], "", gr.update(visible=True), gr.update(visible=False, choices=[], value=None), gr.update(visible=False, value=[]), gr.update(visible=False)
 
         key, question = form_definitions[form_type][len(user_form_data)]
 
         if isinstance(question, list):
-            # This is a dropdown question
-            dropdown_options = question[1]
-            if message not in dropdown_options:
-                return history + [(message, f"Please choose one of the provided options: {', '.join(dropdown_options)}")], "", gr.update(visible=False), gr.update(visible=True, choices=dropdown_options, value=None)
-            
-            user_form_data[key] = message
-            history = history + [(message, f"Selected: {message}")]
+            if question[1] == "checkboxes":
+                # This is a checkbox question - handle checkbox values
+                if checkbox_values is None or len(checkbox_values) == 0:
+                    return history + [(message, "Please select at least one service option.")], "", gr.update(visible=False), gr.update(visible=False, choices=[], value=None), gr.update(visible=True, value=[]), gr.update(visible=True)
+                
+                user_form_data[key] = checkbox_values
+                history = history + [(message, f"Selected services: {', '.join(checkbox_values)}")]
+                
+            else:
+                # This is a dropdown question
+                dropdown_options = question[1]
+                if message not in dropdown_options:
+                    return history + [(message, f"Please choose one of the provided options: {', '.join(dropdown_options)}")], "", gr.update(visible=False), gr.update(visible=True, choices=dropdown_options, value=None), gr.update(visible=False, value=[]), gr.update(visible=False)
+                
+                user_form_data[key] = message
+                history = history + [(message, f"Selected: {message}")]
         else:
             # This is a text question
             error = validate_input(key, message)
             if error:
-                return history + [(message, error)], "", gr.update(visible=True), gr.update(visible=False, choices=[], value=None)
+                return history + [(message, error)], "", gr.update(visible=True), gr.update(visible=False, choices=[], value=None), gr.update(visible=False, value=[]), gr.update(visible=False)
             user_form_data[key] = message
             history = history + [(message, "Thank you!")]
 
@@ -377,35 +150,46 @@ def chat_fn(message, history):
         if len(user_form_data) < len(form_definitions[form_type]):
             next_key, next_question = form_definitions[form_type][len(user_form_data)]
             if isinstance(next_question, list):
-                # Next question is a dropdown - hide text input, show dropdown
-                dropdown_options = next_question[1]
-                return history + [("", next_question[0])], "", gr.update(visible=False), gr.update(visible=True, choices=dropdown_options, value=None)
+                if next_question[1] == "checkboxes":
+                    # Next question is checkboxes - hide text input and dropdown, show checkboxes
+                    return history + [("", next_question[0])], "", gr.update(visible=False), gr.update(visible=False, choices=[], value=None), gr.update(visible=True, value=[]), gr.update(visible=True)
+                else:
+                    # Next question is dropdown - hide text input and checkboxes, show dropdown
+                    dropdown_options = next_question[1]
+                    return history + [("", next_question[0])], "", gr.update(visible=False), gr.update(visible=True, choices=dropdown_options, value=None), gr.update(visible=False, value=[]), gr.update(visible=False)
             else:
-                # Next question is text - show text input, hide dropdown
-                return history + [("", next_question)], "", gr.update(visible=True), gr.update(visible=False, choices=[], value=None)
+                # Next question is text - show text input, hide dropdown and checkboxes
+                return history + [("", next_question)], "", gr.update(visible=True), gr.update(visible=False, choices=[], value=None), gr.update(visible=False, value=[]), gr.update(visible=False)
         else:
             # Form complete
             user_form_data["timestamp"] = datetime.now().isoformat()
             user_form_data["type"] = form_type.capitalize()
+            
+            # Convert list values to string for CSV storage
+            csv_data = user_form_data.copy()
+            for k, v in csv_data.items():
+                if isinstance(v, list):
+                    csv_data[k] = "; ".join(v)
+            
             file_name = f"{form_type}_requests.csv"
             file_exists = os.path.isfile(file_name)
             
             try:
                 with open(file_name, mode="a", newline="", encoding="utf-8") as file:
-                    writer = csv.DictWriter(file, fieldnames=list(user_form_data.keys()))
+                    writer = csv.DictWriter(file, fieldnames=list(csv_data.keys()))
                     if not file_exists:
                         writer.writeheader()
-                    writer.writerow(user_form_data)
+                    writer.writerow(csv_data)
                 
                 msg1 = f"Thank you! Your {form_type} request has been received and saved."
                 msg2 = final_question[1]
                 user_form_data, form_type = {}, None
-                return history + [("", msg1), ("", msg2)], "", gr.update(visible=True), gr.update(visible=False, choices=[], value=None)
+                return history + [("", msg1), ("", msg2)], "", gr.update(visible=True), gr.update(visible=False, choices=[], value=None), gr.update(visible=False, value=[]), gr.update(visible=False)
             except Exception as e:
                 msg1 = f"Thank you! Your {form_type} request has been received (Note: Could not save to file: {e})."
                 msg2 = final_question[1]
                 user_form_data, form_type = {}, None
-                return history + [("", msg1), ("", msg2)], "", gr.update(visible=True), gr.update(visible=False, choices=[], value=None)
+                return history + [("", msg1), ("", msg2)], "", gr.update(visible=True), gr.update(visible=False, choices=[], value=None), gr.update(visible=False, value=[]), gr.update(visible=False)
 
     # Admin commands
     if message.lower().startswith("admin:") and "guide" in message.lower():
@@ -417,33 +201,33 @@ def chat_fn(message, history):
             "4. Schedule awareness sessions.\n"
             "5. Monitor progress via the Executive Risk Dashboard."
         )
-        return history + [(message, steps)], "", gr.update(visible=True), gr.update(visible=False, choices=[])
+        return history + [(message, steps)], "", gr.update(visible=True), gr.update(visible=False, choices=[]), gr.update(visible=False, value=[]), gr.update(visible=False)
 
     # Form triggers
     if re.search(r"\b(demo|quote|custom)\b", message, re.IGNORECASE):
         form_type = "demo"
         user_form_data = {}
         first_question = form_definitions[form_type][0][1]
-        return history + [(message, "Sure! Let's start with a few details."), ("", first_question)], "", gr.update(visible=True), gr.update(visible=False, choices=[])
+        return history + [(message, "Sure! Let's start with a few details."), ("", first_question)], "", gr.update(visible=True), gr.update(visible=False, choices=[]), gr.update(visible=False, value=[]), gr.update(visible=False)
 
     if re.search(r"\b(contact|message|speak)\b", message, re.IGNORECASE):
         form_type = "contact"
         user_form_data = {}
         first_question = form_definitions[form_type][0][1]
-        return history + [(message, "Of course! Please fill out the following."), ("", first_question)], "", gr.update(visible=True), gr.update(visible=False, choices=[])
+        return history + [(message, "Of course! Please fill out the following."), ("", first_question)], "", gr.update(visible=True), gr.update(visible=False, choices=[]), gr.update(visible=False, value=[]), gr.update(visible=False)
 
     # Generic help
     if re.search(r"\bhelp\b", message, re.IGNORECASE):
-        return history + [(message, "Yes, of course! Tell me your question.")], "", gr.update(visible=True), gr.update(visible=False, choices=[])
+        return history + [(message, "Yes, of course! Tell me your question.")], "", gr.update(visible=True), gr.update(visible=False, choices=[]), gr.update(visible=False, value=[]), gr.update(visible=False)
 
     # Cybersecurity questions
     if re.search(r"\b(cybersecurity|malware|phishing|ransomware|network|threat|attack|industry|NIST|ISO|compliance)\b", message, re.IGNORECASE):
         reply = answer_question(message, is_general=True)
-        return history + [(message, reply)], "", gr.update(visible=True), gr.update(visible=False, choices=[])
+        return history + [(message, reply)], "", gr.update(visible=True), gr.update(visible=False, choices=[]), gr.update(visible=False, value=[]), gr.update(visible=False)
 
     # Default response for everything else
     reply = answer_question(message)
-    return history + [(message, reply)], "", gr.update(visible=True), gr.update(visible=False, choices=[], value=None)
+    return history + [(message, reply)], "", gr.update(visible=True), gr.update(visible=False, choices=[], value=None), gr.update(visible=False, value=[]), gr.update(visible=False)
 
 # 7. Launch Gradio
 with gr.Blocks(title="CSWORD.ai Chatbot") as demo:
@@ -461,9 +245,20 @@ with gr.Blocks(title="CSWORD.ai Chatbot") as demo:
             interactive=True
         )
     
+    # Add checkboxes for services
+    services_checkboxes = gr.CheckboxGroup(
+        choices=service_options,
+        label="Select Services of Interest",
+        visible=False,
+        value=[]
+    )
+    
+    # Add send button for checkboxes
+    send_services_btn = gr.Button("Send Selected Services", visible=False)
+    
     submit = gr.Button("Send")
     
-    def get_query(txt, drop, hist):
+    def get_query(txt, drop, hist, checkbox_vals):
         # If dropdown is visible and has a value, use dropdown value
         if dropdown_input.visible and drop:
             return chat_fn(drop, hist)
@@ -471,20 +266,25 @@ with gr.Blocks(title="CSWORD.ai Chatbot") as demo:
         elif txt.strip():
             return chat_fn(txt, hist)
         else:
-            return hist, "", gr.update(), gr.update()
+            return hist, "", gr.update(), gr.update(), gr.update(), gr.update()
 
     def handle_dropdown_selection(drop, hist):
-        # Handle dropdown selection directly
         if drop:
             return chat_fn(drop, hist)
         else:
-            return hist, "", gr.update(), gr.update()
+            return hist, "", gr.update(), gr.update(), gr.update(), gr.update()
 
-    submit.click(get_query, inputs=[user_input, dropdown_input, chatbot], outputs=[chatbot, user_input, user_input, dropdown_input])
-    user_input.submit(get_query, inputs=[user_input, dropdown_input, chatbot], outputs=[chatbot, user_input, user_input, dropdown_input])
+    def handle_services_submission(checkbox_vals, hist):
+        return chat_fn("services_selected", hist, checkbox_vals)
+
+    submit.click(get_query, inputs=[user_input, dropdown_input, chatbot, services_checkboxes], outputs=[chatbot, user_input, user_input, dropdown_input, services_checkboxes, send_services_btn])
+    user_input.submit(get_query, inputs=[user_input, dropdown_input, chatbot, services_checkboxes], outputs=[chatbot, user_input, user_input, dropdown_input, services_checkboxes, send_services_btn])
+    
+    # Handle dropdown selection
+    dropdown_input.select(handle_dropdown_selection, inputs=[dropdown_input, chatbot], outputs=[chatbot, user_input, user_input, dropdown_input, services_checkboxes, send_services_btn])
     
-    # Handle dropdown selection - automatically process when user selects an option
-    dropdown_input.select(handle_dropdown_selection, inputs=[dropdown_input, chatbot], outputs=[chatbot, user_input, user_input, dropdown_input])
+    # Handle services submission
+    send_services_btn.click(handle_services_submission, inputs=[services_checkboxes, chatbot], outputs=[chatbot, user_input, user_input, dropdown_input, services_checkboxes, send_services_btn])
 
 if __name__ == "__main__":
     demo.launch()